Global patterns in monthly activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus: a systematic analysis
Influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most common viruses associated with acute lower respiratory infections in young children (<5 years) and older people (≥65 years). A global report of the monthly activity of these viruses is needed to in...
Saved in:
| Published in: | The Lancet global health Vol. 7; no. 8; pp. e1031 - e1045 |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
Elsevier Ltd
01.08.2019
Elsevier |
| Subjects: | |
| ISSN: | 2214-109X, 2214-109X |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most common viruses associated with acute lower respiratory infections in young children (<5 years) and older people (≥65 years). A global report of the monthly activity of these viruses is needed to inform public health strategies and programmes for their control.
In this systematic analysis, we compiled data from a systematic literature review of studies published between Jan 1, 2000, and Dec 31, 2017; online datasets; and unpublished research data. Studies were eligible for inclusion if they reported laboratory-confirmed incidence data of human infection of influenza virus, respiratory syncytial virus, parainfluenza virus, or metapneumovirus, or a combination of these, for at least 12 consecutive months (or 52 weeks equivalent); stable testing practice throughout all years reported; virus results among residents in well-defined geographical locations; and aggregated virus results at least on a monthly basis. Data were extracted through a three-stage process, from which we calculated monthly annual average percentage (AAP) as the relative strength of virus activity. We defined duration of epidemics as the minimum number of months to account for 75% of annual positive samples, with each component month defined as an epidemic month. Furthermore, we modelled monthly AAP of influenza virus and respiratory syncytial virus using site-specific temperature and relative humidity for the prediction of local average epidemic months. We also predicted global epidemic months of influenza virus and respiratory syncytial virus on a 5° by 5° grid. The systematic review in this study is registered with PROSPERO, number CRD42018091628.
We initally identified 37 335 eligible studies. Of 21 065 studies remaining after exclusion of duplicates, 1081 full-text articles were assessed for eligibility, of which 185 were identified as eligible. We included 246 sites for influenza virus, 183 sites for respiratory syncytial virus, 83 sites for parainfluenza virus, and 65 sites for metapneumovirus. Influenza virus had clear seasonal epidemics in winter months in most temperate sites but timing of epidemics was more variable and less seasonal with decreasing distance from the equator. Unlike influenza virus, respiratory syncytial virus had clear seasonal epidemics in both temperate and tropical regions, starting in late summer months in the tropics of each hemisphere, reaching most temperate sites in winter months. In most temperate sites, influenza virus epidemics occurred later than respiratory syncytial virus (by 0·3 months [95% CI −0·3 to 0·9]) while no clear temporal order was observed in the tropics. Parainfluenza virus epidemics were found mostly in spring and early summer months in each hemisphere. Metapneumovirus epidemics occurred in late winter and spring in most temperate sites but the timing of epidemics was more diverse in the tropics. Influenza virus epidemics had shorter duration (3·8 months [3·6 to 4·0]) in temperate sites and longer duration (5·2 months [4·9 to 5·5]) in the tropics. Duration of epidemics was similar across all sites for respiratory syncytial virus (4·6 months [4·3 to 4·8]), as it was for metapneumovirus (4·8 months [4·4 to 5·1]). By comparison, parainfluenza virus had longer duration of epidemics (6·3 months [6·0 to 6·7]). Our model had good predictability in the average epidemic months of influenza virus in temperate regions and respiratory syncytial virus in both temperate and tropical regions. Through leave-one-out cross validation, the overall prediction error in the onset of epidemics was within 1 month (influenza virus −0·2 months [−0·6 to 0·1]; respiratory syncytial virus 0·1 months [−0·2 to 0·4]).
This study is the first to provide global representations of month-by-month activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus. Our model is helpful in predicting the local onset month of influenza virus and respiratory syncytial virus epidemics. The seasonality information has important implications for health services planning, the timing of respiratory syncytial virus passive prophylaxis, and the strategy of influenza virus and future respiratory syncytial virus vaccination.
European Union Innovative Medicines Initiative Respiratory Syncytial Virus Consortium in Europe (RESCEU). |
|---|---|
| AbstractList | Background: Influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most
common viruses associated with acute lower respiratory infections in young children (<5 years) and older people
(≥65 years). A global report of the monthly activity of these viruses is needed to inform public health strategies and
programmes for their control.
Methods: In this systematic analysis, we compiled data from a systematic literature review of studies published between
Jan 1, 2000, and Dec 31, 2017; online datasets; and unpublished research data. Studies were eligible for inclusion if they
reported laboratory-confirmed incidence data of human infection of influenza virus, respiratory syncytial virus,
parainfluenza virus, or metapneumovirus, or a combination of these, for at least 12 consecutive months (or 52 weeks
equivalent); stable testing practice throughout all years reported; virus results among residents in well-defined
geographical locations; and aggregated virus results at least on a monthly basis. Data were extracted through a threestage process, from which we calculated monthly annual average percentage (AAP) as the relative strength of virus
activity. We defined duration of epidemics as the minimum number of months to account for 75% of annual positive
samples, with each component month defined as an epidemic month. Furthermore, we modelled monthly AAP of
influenza virus and respiratory syncytial virus using site-specific temperature and relative humidity for the prediction of
local average epidemic months. We also predicted global epidemic months of influenza virus and respiratory syncytial
virus on a 5° by 5° grid. The systematic review in this study is registered with PROSPERO, number CRD42018091628.
Findings: We initally identified 37 335 eligible studies. Of 21 065 studies remaining after exclusion of duplicates,
1081 full-text articles were assessed for eligibility, of which 185 were identified as eligible. We included 246 sites for
influenza virus, 183 sites for respiratory syncytial virus, 83 sites for parainfluenza virus, and 65 sites for
metapneumovirus. Influenza virus had clear seasonal epidemics in winter months in most temperate sites but
timing of epidemics was more variable and less seasonal with decreasing distance from the equator. Unlike influenza
virus, respiratory syncytial virus had clear seasonal epidemics in both temperate and tropical regions, starting in late
summer months in the tropics of each hemisphere, reaching most temperate sites in winter months. In most
temperate sites, influenza virus epidemics occurred later than respiratory syncytial virus (by 0·3 months [95% CI
–0·3 to 0·9]) while no clear temporal order was observed in the tropics. Parainfluenza virus epidemics were found
mostly in spring and early summer months in each hemisphere. Metapneumovirus epidemics occurred in late
winter and spring in most temperate sites but the timing of epidemics was more diverse in the tropics. Influenza
virus epidemics had shorter duration (3·8 months [3·6 to 4·0]) in temperate sites and longer duration (5·2 months
[4·9 to 5·5]) in the tropics. Duration of epidemics was similar across all sites for respiratory syncytial virus
(4·6 months [4·3 to 4·8]), as it was for metapneumovirus (4·8 months [4·4 to 5·1]). By comparison, parainfluenza
virus had longer duration of epidemics (6·3 months [6·0 to 6·7]). Our model had good predictability in the average
epidemic months of influenza virus in temperate regions and respiratory syncytial virus in both temperate and
tropical regions. Through leave-one-out cross validation, the overall prediction error in the onset of epidemics was
within 1 month (influenza virus −0·2 months [−0·6 to 0·1]; respiratory syncytial virus 0·1 months [−0·2 to 0·4]).
Interpretation: This study is the first to provide global representations of month-by-month activity of influenza virus,
respiratory syncytial virus, parainfluenza virus, and metapneumovirus. Our model is helpful in predicting the local
onset month of influenza virus and respiratory syncytial virus epidemics. The seasonality information has important
implications for health services planning, the timing of respiratory syncytial virus passive prophylaxis, and the
strategy of influenza virus and future respiratory syncytial virus vaccination. Influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most common viruses associated with acute lower respiratory infections in young children (<5 years) and older people (≥65 years). A global report of the monthly activity of these viruses is needed to inform public health strategies and programmes for their control. In this systematic analysis, we compiled data from a systematic literature review of studies published between Jan 1, 2000, and Dec 31, 2017; online datasets; and unpublished research data. Studies were eligible for inclusion if they reported laboratory-confirmed incidence data of human infection of influenza virus, respiratory syncytial virus, parainfluenza virus, or metapneumovirus, or a combination of these, for at least 12 consecutive months (or 52 weeks equivalent); stable testing practice throughout all years reported; virus results among residents in well-defined geographical locations; and aggregated virus results at least on a monthly basis. Data were extracted through a three-stage process, from which we calculated monthly annual average percentage (AAP) as the relative strength of virus activity. We defined duration of epidemics as the minimum number of months to account for 75% of annual positive samples, with each component month defined as an epidemic month. Furthermore, we modelled monthly AAP of influenza virus and respiratory syncytial virus using site-specific temperature and relative humidity for the prediction of local average epidemic months. We also predicted global epidemic months of influenza virus and respiratory syncytial virus on a 5° by 5° grid. The systematic review in this study is registered with PROSPERO, number CRD42018091628. We initally identified 37 335 eligible studies. Of 21 065 studies remaining after exclusion of duplicates, 1081 full-text articles were assessed for eligibility, of which 185 were identified as eligible. We included 246 sites for influenza virus, 183 sites for respiratory syncytial virus, 83 sites for parainfluenza virus, and 65 sites for metapneumovirus. Influenza virus had clear seasonal epidemics in winter months in most temperate sites but timing of epidemics was more variable and less seasonal with decreasing distance from the equator. Unlike influenza virus, respiratory syncytial virus had clear seasonal epidemics in both temperate and tropical regions, starting in late summer months in the tropics of each hemisphere, reaching most temperate sites in winter months. In most temperate sites, influenza virus epidemics occurred later than respiratory syncytial virus (by 0·3 months [95% CI −0·3 to 0·9]) while no clear temporal order was observed in the tropics. Parainfluenza virus epidemics were found mostly in spring and early summer months in each hemisphere. Metapneumovirus epidemics occurred in late winter and spring in most temperate sites but the timing of epidemics was more diverse in the tropics. Influenza virus epidemics had shorter duration (3·8 months [3·6 to 4·0]) in temperate sites and longer duration (5·2 months [4·9 to 5·5]) in the tropics. Duration of epidemics was similar across all sites for respiratory syncytial virus (4·6 months [4·3 to 4·8]), as it was for metapneumovirus (4·8 months [4·4 to 5·1]). By comparison, parainfluenza virus had longer duration of epidemics (6·3 months [6·0 to 6·7]). Our model had good predictability in the average epidemic months of influenza virus in temperate regions and respiratory syncytial virus in both temperate and tropical regions. Through leave-one-out cross validation, the overall prediction error in the onset of epidemics was within 1 month (influenza virus −0·2 months [−0·6 to 0·1]; respiratory syncytial virus 0·1 months [−0·2 to 0·4]). This study is the first to provide global representations of month-by-month activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus. Our model is helpful in predicting the local onset month of influenza virus and respiratory syncytial virus epidemics. The seasonality information has important implications for health services planning, the timing of respiratory syncytial virus passive prophylaxis, and the strategy of influenza virus and future respiratory syncytial virus vaccination. European Union Innovative Medicines Initiative Respiratory Syncytial Virus Consortium in Europe (RESCEU). Background: Influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most common viruses associated with acute lower respiratory infections in young children (<5 years) and older people (≥65 years). A global report of the monthly activity of these viruses is needed to inform public health strategies and programmes for their control. Methods: In this systematic analysis, we compiled data from a systematic literature review of studies published between Jan 1, 2000, and Dec 31, 2017; online datasets; and unpublished research data. Studies were eligible for inclusion if they reported laboratory-confirmed incidence data of human infection of influenza virus, respiratory syncytial virus, parainfluenza virus, or metapneumovirus, or a combination of these, for at least 12 consecutive months (or 52 weeks equivalent); stable testing practice throughout all years reported; virus results among residents in well-defined geographical locations; and aggregated virus results at least on a monthly basis. Data were extracted through a three-stage process, from which we calculated monthly annual average percentage (AAP) as the relative strength of virus activity. We defined duration of epidemics as the minimum number of months to account for 75% of annual positive samples, with each component month defined as an epidemic month. Furthermore, we modelled monthly AAP of influenza virus and respiratory syncytial virus using site-specific temperature and relative humidity for the prediction of local average epidemic months. We also predicted global epidemic months of influenza virus and respiratory syncytial virus on a 5° by 5° grid. The systematic review in this study is registered with PROSPERO, number CRD42018091628. Findings: We initally identified 37 335 eligible studies. Of 21 065 studies remaining after exclusion of duplicates, 1081 full-text articles were assessed for eligibility, of which 185 were identified as eligible. We included 246 sites for influenza virus, 183 sites for respiratory syncytial virus, 83 sites for parainfluenza virus, and 65 sites for metapneumovirus. Influenza virus had clear seasonal epidemics in winter months in most temperate sites but timing of epidemics was more variable and less seasonal with decreasing distance from the equator. Unlike influenza virus, respiratory syncytial virus had clear seasonal epidemics in both temperate and tropical regions, starting in late summer months in the tropics of each hemisphere, reaching most temperate sites in winter months. In most temperate sites, influenza virus epidemics occurred later than respiratory syncytial virus (by 0·3 months [95% CI −0·3 to 0·9]) while no clear temporal order was observed in the tropics. Parainfluenza virus epidemics were found mostly in spring and early summer months in each hemisphere. Metapneumovirus epidemics occurred in late winter and spring in most temperate sites but the timing of epidemics was more diverse in the tropics. Influenza virus epidemics had shorter duration (3·8 months [3·6 to 4·0]) in temperate sites and longer duration (5·2 months [4·9 to 5·5]) in the tropics. Duration of epidemics was similar across all sites for respiratory syncytial virus (4·6 months [4·3 to 4·8]), as it was for metapneumovirus (4·8 months [4·4 to 5·1]). By comparison, parainfluenza virus had longer duration of epidemics (6·3 months [6·0 to 6·7]). Our model had good predictability in the average epidemic months of influenza virus in temperate regions and respiratory syncytial virus in both temperate and tropical regions. Through leave-one-out cross validation, the overall prediction error in the onset of epidemics was within 1 month (influenza virus −0·2 months [−0·6 to 0·1]; respiratory syncytial virus 0·1 months [−0·2 to 0·4]). Interpretation: This study is the first to provide global representations of month-by-month activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus. Our model is helpful in predicting the local onset month of influenza virus and respiratory syncytial virus epidemics. The seasonality information has important implications for health services planning, the timing of respiratory syncytial virus passive prophylaxis, and the strategy of influenza virus and future respiratory syncytial virus vaccination. Funding: European Union Innovative Medicines Initiative Respiratory Syncytial Virus Consortium in Europe (RESCEU). Influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most common viruses associated with acute lower respiratory infections in young children (<5 years) and older people (≥65 years). A global report of the monthly activity of these viruses is needed to inform public health strategies and programmes for their control.BACKGROUNDInfluenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most common viruses associated with acute lower respiratory infections in young children (<5 years) and older people (≥65 years). A global report of the monthly activity of these viruses is needed to inform public health strategies and programmes for their control.In this systematic analysis, we compiled data from a systematic literature review of studies published between Jan 1, 2000, and Dec 31, 2017; online datasets; and unpublished research data. Studies were eligible for inclusion if they reported laboratory-confirmed incidence data of human infection of influenza virus, respiratory syncytial virus, parainfluenza virus, or metapneumovirus, or a combination of these, for at least 12 consecutive months (or 52 weeks equivalent); stable testing practice throughout all years reported; virus results among residents in well-defined geographical locations; and aggregated virus results at least on a monthly basis. Data were extracted through a three-stage process, from which we calculated monthly annual average percentage (AAP) as the relative strength of virus activity. We defined duration of epidemics as the minimum number of months to account for 75% of annual positive samples, with each component month defined as an epidemic month. Furthermore, we modelled monthly AAP of influenza virus and respiratory syncytial virus using site-specific temperature and relative humidity for the prediction of local average epidemic months. We also predicted global epidemic months of influenza virus and respiratory syncytial virus on a 5° by 5° grid. The systematic review in this study is registered with PROSPERO, number CRD42018091628.METHODSIn this systematic analysis, we compiled data from a systematic literature review of studies published between Jan 1, 2000, and Dec 31, 2017; online datasets; and unpublished research data. Studies were eligible for inclusion if they reported laboratory-confirmed incidence data of human infection of influenza virus, respiratory syncytial virus, parainfluenza virus, or metapneumovirus, or a combination of these, for at least 12 consecutive months (or 52 weeks equivalent); stable testing practice throughout all years reported; virus results among residents in well-defined geographical locations; and aggregated virus results at least on a monthly basis. Data were extracted through a three-stage process, from which we calculated monthly annual average percentage (AAP) as the relative strength of virus activity. We defined duration of epidemics as the minimum number of months to account for 75% of annual positive samples, with each component month defined as an epidemic month. Furthermore, we modelled monthly AAP of influenza virus and respiratory syncytial virus using site-specific temperature and relative humidity for the prediction of local average epidemic months. We also predicted global epidemic months of influenza virus and respiratory syncytial virus on a 5° by 5° grid. The systematic review in this study is registered with PROSPERO, number CRD42018091628.We initally identified 37 335 eligible studies. Of 21 065 studies remaining after exclusion of duplicates, 1081 full-text articles were assessed for eligibility, of which 185 were identified as eligible. We included 246 sites for influenza virus, 183 sites for respiratory syncytial virus, 83 sites for parainfluenza virus, and 65 sites for metapneumovirus. Influenza virus had clear seasonal epidemics in winter months in most temperate sites but timing of epidemics was more variable and less seasonal with decreasing distance from the equator. Unlike influenza virus, respiratory syncytial virus had clear seasonal epidemics in both temperate and tropical regions, starting in late summer months in the tropics of each hemisphere, reaching most temperate sites in winter months. In most temperate sites, influenza virus epidemics occurred later than respiratory syncytial virus (by 0·3 months [95% CI -0·3 to 0·9]) while no clear temporal order was observed in the tropics. Parainfluenza virus epidemics were found mostly in spring and early summer months in each hemisphere. Metapneumovirus epidemics occurred in late winter and spring in most temperate sites but the timing of epidemics was more diverse in the tropics. Influenza virus epidemics had shorter duration (3·8 months [3·6 to 4·0]) in temperate sites and longer duration (5·2 months [4·9 to 5·5]) in the tropics. Duration of epidemics was similar across all sites for respiratory syncytial virus (4·6 months [4·3 to 4·8]), as it was for metapneumovirus (4·8 months [4·4 to 5·1]). By comparison, parainfluenza virus had longer duration of epidemics (6·3 months [6·0 to 6·7]). Our model had good predictability in the average epidemic months of influenza virus in temperate regions and respiratory syncytial virus in both temperate and tropical regions. Through leave-one-out cross validation, the overall prediction error in the onset of epidemics was within 1 month (influenza virus -0·2 months [-0·6 to 0·1]; respiratory syncytial virus 0·1 months [-0·2 to 0·4]).FINDINGSWe initally identified 37 335 eligible studies. Of 21 065 studies remaining after exclusion of duplicates, 1081 full-text articles were assessed for eligibility, of which 185 were identified as eligible. We included 246 sites for influenza virus, 183 sites for respiratory syncytial virus, 83 sites for parainfluenza virus, and 65 sites for metapneumovirus. Influenza virus had clear seasonal epidemics in winter months in most temperate sites but timing of epidemics was more variable and less seasonal with decreasing distance from the equator. Unlike influenza virus, respiratory syncytial virus had clear seasonal epidemics in both temperate and tropical regions, starting in late summer months in the tropics of each hemisphere, reaching most temperate sites in winter months. In most temperate sites, influenza virus epidemics occurred later than respiratory syncytial virus (by 0·3 months [95% CI -0·3 to 0·9]) while no clear temporal order was observed in the tropics. Parainfluenza virus epidemics were found mostly in spring and early summer months in each hemisphere. Metapneumovirus epidemics occurred in late winter and spring in most temperate sites but the timing of epidemics was more diverse in the tropics. Influenza virus epidemics had shorter duration (3·8 months [3·6 to 4·0]) in temperate sites and longer duration (5·2 months [4·9 to 5·5]) in the tropics. Duration of epidemics was similar across all sites for respiratory syncytial virus (4·6 months [4·3 to 4·8]), as it was for metapneumovirus (4·8 months [4·4 to 5·1]). By comparison, parainfluenza virus had longer duration of epidemics (6·3 months [6·0 to 6·7]). Our model had good predictability in the average epidemic months of influenza virus in temperate regions and respiratory syncytial virus in both temperate and tropical regions. Through leave-one-out cross validation, the overall prediction error in the onset of epidemics was within 1 month (influenza virus -0·2 months [-0·6 to 0·1]; respiratory syncytial virus 0·1 months [-0·2 to 0·4]).This study is the first to provide global representations of month-by-month activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus. Our model is helpful in predicting the local onset month of influenza virus and respiratory syncytial virus epidemics. The seasonality information has important implications for health services planning, the timing of respiratory syncytial virus passive prophylaxis, and the strategy of influenza virus and future respiratory syncytial virus vaccination.INTERPRETATIONThis study is the first to provide global representations of month-by-month activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus. Our model is helpful in predicting the local onset month of influenza virus and respiratory syncytial virus epidemics. The seasonality information has important implications for health services planning, the timing of respiratory syncytial virus passive prophylaxis, and the strategy of influenza virus and future respiratory syncytial virus vaccination.European Union Innovative Medicines Initiative Respiratory Syncytial Virus Consortium in Europe (RESCEU).FUNDINGEuropean Union Innovative Medicines Initiative Respiratory Syncytial Virus Consortium in Europe (RESCEU). Influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most common viruses associated with acute lower respiratory infections in young children (<5 years) and older people (≥65 years). A global report of the monthly activity of these viruses is needed to inform public health strategies and programmes for their control. In this systematic analysis, we compiled data from a systematic literature review of studies published between Jan 1, 2000, and Dec 31, 2017; online datasets; and unpublished research data. Studies were eligible for inclusion if they reported laboratory-confirmed incidence data of human infection of influenza virus, respiratory syncytial virus, parainfluenza virus, or metapneumovirus, or a combination of these, for at least 12 consecutive months (or 52 weeks equivalent); stable testing practice throughout all years reported; virus results among residents in well-defined geographical locations; and aggregated virus results at least on a monthly basis. Data were extracted through a three-stage process, from which we calculated monthly annual average percentage (AAP) as the relative strength of virus activity. We defined duration of epidemics as the minimum number of months to account for 75% of annual positive samples, with each component month defined as an epidemic month. Furthermore, we modelled monthly AAP of influenza virus and respiratory syncytial virus using site-specific temperature and relative humidity for the prediction of local average epidemic months. We also predicted global epidemic months of influenza virus and respiratory syncytial virus on a 5° by 5° grid. The systematic review in this study is registered with PROSPERO, number CRD42018091628. We initally identified 37 335 eligible studies. Of 21 065 studies remaining after exclusion of duplicates, 1081 full-text articles were assessed for eligibility, of which 185 were identified as eligible. We included 246 sites for influenza virus, 183 sites for respiratory syncytial virus, 83 sites for parainfluenza virus, and 65 sites for metapneumovirus. Influenza virus had clear seasonal epidemics in winter months in most temperate sites but timing of epidemics was more variable and less seasonal with decreasing distance from the equator. Unlike influenza virus, respiratory syncytial virus had clear seasonal epidemics in both temperate and tropical regions, starting in late summer months in the tropics of each hemisphere, reaching most temperate sites in winter months. In most temperate sites, influenza virus epidemics occurred later than respiratory syncytial virus (by 0·3 months [95% CI -0·3 to 0·9]) while no clear temporal order was observed in the tropics. Parainfluenza virus epidemics were found mostly in spring and early summer months in each hemisphere. Metapneumovirus epidemics occurred in late winter and spring in most temperate sites but the timing of epidemics was more diverse in the tropics. Influenza virus epidemics had shorter duration (3·8 months [3·6 to 4·0]) in temperate sites and longer duration (5·2 months [4·9 to 5·5]) in the tropics. Duration of epidemics was similar across all sites for respiratory syncytial virus (4·6 months [4·3 to 4·8]), as it was for metapneumovirus (4·8 months [4·4 to 5·1]). By comparison, parainfluenza virus had longer duration of epidemics (6·3 months [6·0 to 6·7]). Our model had good predictability in the average epidemic months of influenza virus in temperate regions and respiratory syncytial virus in both temperate and tropical regions. Through leave-one-out cross validation, the overall prediction error in the onset of epidemics was within 1 month (influenza virus -0·2 months [-0·6 to 0·1]; respiratory syncytial virus 0·1 months [-0·2 to 0·4]). This study is the first to provide global representations of month-by-month activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus. Our model is helpful in predicting the local onset month of influenza virus and respiratory syncytial virus epidemics. The seasonality information has important implications for health services planning, the timing of respiratory syncytial virus passive prophylaxis, and the strategy of influenza virus and future respiratory syncytial virus vaccination. European Union Innovative Medicines Initiative Respiratory Syncytial Virus Consortium in Europe (RESCEU). BACKGROUND: Influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most common viruses associated with acute lower respiratory infections in young children (<5 years) and older people (≥65 years). A global report of the monthly activity of these viruses is needed to inform public health strategies and programmes for their control. METHODS: In this systematic analysis, we compiled data from a systematic literature review of studies published between Jan 1, 2000, and Dec 31, 2017; online datasets; and unpublished research data. Studies were eligible for inclusion if they reported laboratory-confirmed incidence data of human infection of influenza virus, respiratory syncytial virus, parainfluenza virus, or metapneumovirus, or a combination of these, for at least 12 consecutive months (or 52 weeks equivalent); stable testing practice throughout all years reported; virus results among residents in well-defined geographical locations; and aggregated virus results at least on a monthly basis. Data were extracted through a three-stage process, from which we calculated monthly annual average percentage (AAP) as the relative strength of virus activity. We defined duration of epidemics as the minimum number of months to account for 75% of annual positive samples, with each component month defined as an epidemic month. Furthermore, we modelled monthly AAP of influenza virus and respiratory syncytial virus using site-specific temperature and relative humidity for the prediction of local average epidemic months. We also predicted global epidemic months of influenza virus and respiratory syncytial virus on a 5° by 5° grid. The systematic review in this study is registered with PROSPERO, number CRD42018091628. FINDINGS: We initally identified 37 335 eligible studies. Of 21 065 studies remaining after exclusion of duplicates, 1081 full-text articles were assessed for eligibility, of which 185 were identified as eligible. We included 246 sites for influenza virus, 183 sites for respiratory syncytial virus, 83 sites for parainfluenza virus, and 65 sites for metapneumovirus. Influenza virus had clear seasonal epidemics in winter months in most temperate sites but timing of epidemics was more variable and less seasonal with decreasing distance from the equator. Unlike influenza virus, respiratory syncytial virus had clear seasonal epidemics in both temperate and tropical regions, starting in late summer months in the tropics of each hemisphere, reaching most temperate sites in winter months. In most temperate sites, influenza virus epidemics occurred later than respiratory syncytial virus (by 0·3 months [95% CI -0·3 to 0·9]) while no clear temporal order was observed in the tropics. Parainfluenza virus epidemics were found mostly in spring and early summer months in each hemisphere. Metapneumovirus epidemics occurred in late winter and spring in most temperate sites but the timing of epidemics was more diverse in the tropics. Influenza virus epidemics had shorter duration (3·8 months [3·6 to 4·0]) in temperate sites and longer duration (5·2 months [4·9 to 5·5]) in the tropics. Duration of epidemics was similar across all sites for respiratory syncytial virus (4·6 months [4·3 to 4·8]), as it was for metapneumovirus (4·8 months [4·4 to 5·1]). By comparison, parainfluenza virus had longer duration of epidemics (6·3 months [6·0 to 6·7]). Our model had good predictability in the average epidemic months of influenza virus in temperate regions and respiratory syncytial virus in both temperate and tropical regions. Through leave-one-out cross validation, the overall prediction error in the onset of epidemics was within 1 month (influenza virus -0·2 months [-0·6 to 0·1]; respiratory syncytial virus 0·1 months [-0·2 to 0·4]). INTERPRETATION: This study is the first to provide global representations of month-by-month activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus. Our model is helpful in predicting the local onset month of influenza virus and respiratory syncytial virus epidemics. The seasonality information has important implications for health services planning, the timing of respiratory syncytial virus passive prophylaxis, and the strategy of influenza virus and future respiratory syncytial virus vaccination. FUNDING: European Union Innovative Medicines Initiative Respiratory Syncytial Virus Consortium in Europe (RESCEU). |
| Author | Palani, Nandhini Wang, Xin Simoes, Eric A F Sturm-Ramirez, Katharine Visseaux, Benoit Reeves, Rachel M Li, You Gessner, Bradford D Wang, Jianwei Homaira, Nusrat Lucero, Marilla G Schlaudecker, Elizabeth P Bigogo, Godfrey Grijalva, Carlos G Moore, David P Halasa, Natasha Lopez, Olga Munywoki, Patrick K Baillie, Vicky L Sutanto, Agustinus Mulholland, Kim Romero, Candice Goswami, Doli Ramaekers, Kaat Turner, Paul Hessong, Danielle Onozuka, Daisuke Chipeta, James Cohen, Cheryl de Freitas Lázaro Emediato, Carla Cecília Kotloff, Karen L Nunes, Marta Rahman, Mustafizur Goyet, Sophie Nokes, D James Yoshida, Lay-Myint Noyola, Daniel E Seidenberg, Phil Waicharoen, Sunthareeya Bruden, Dana Campbell, Harry Naby, Fathima Lucion, Florencia Madhi, Shabir A Treurnicht, Florette K Khuri-Bulos, Najwa Nicol, Mark P Singleton, Rosalyn Nair, Harish Ferson, Mark J de Jong, Menno Badarch, Darmaa Ayora Talavera, Guadalupe Schweiger, Brunhilde Moyes, Jocelyn Hellferscee, Orienka Lopez Bolaños, Maria Renee Dang, Duc-Anh Do, Lien Anh Ha Turner, Claudia Lupisan, Socorro P |
| Author_xml | – sequence: 1 givenname: You surname: Li fullname: Li, You organization: Centre for Global Health Research, University of Edinburgh, Edinburgh, UK – sequence: 2 givenname: Rachel M surname: Reeves fullname: Reeves, Rachel M organization: Centre for Global Health Research, University of Edinburgh, Edinburgh, UK – sequence: 3 givenname: Xin surname: Wang fullname: Wang, Xin organization: Centre for Global Health Research, University of Edinburgh, Edinburgh, UK – sequence: 4 givenname: Quique surname: Bassat fullname: Bassat, Quique organization: Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique – sequence: 5 givenname: W Abdullah surname: Brooks fullname: Brooks, W Abdullah organization: Department of International Health, International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA – sequence: 6 givenname: Cheryl surname: Cohen fullname: Cohen, Cheryl organization: Centre for Respiratory Disease and Meningitis, National Institute for Communicable Disease, Johannesburg, South Africa – sequence: 7 givenname: David P surname: Moore fullname: Moore, David P organization: Department of Paediatrics and Child Health, Chris Hani Baragwanath Academic Hospital and Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa – sequence: 8 givenname: Marta surname: Nunes fullname: Nunes, Marta organization: Medical Research Council, Respiratory and Meningeal Pathogens Research Unit, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa – sequence: 9 givenname: Barbara surname: Rath fullname: Rath, Barbara organization: Vienna Vaccine Safety Initiative, Berlin, Germany – sequence: 10 givenname: Harry surname: Campbell fullname: Campbell, Harry organization: Centre for Global Health Research, University of Edinburgh, Edinburgh, UK – sequence: 11 givenname: Harish surname: Nair fullname: Nair, Harish email: harish.nair@ed.ac.uk organization: Centre for Global Health Research, University of Edinburgh, Edinburgh, UK – sequence: 12 givenname: Sozinho surname: Acacio fullname: Acacio, Sozinho – sequence: 13 givenname: Wladimir J surname: Alonso fullname: Alonso, Wladimir J – sequence: 14 givenname: Martin surname: Antonio fullname: Antonio, Martin – sequence: 15 givenname: Guadalupe surname: Ayora Talavera fullname: Ayora Talavera, Guadalupe – sequence: 16 givenname: Darmaa surname: Badarch fullname: Badarch, Darmaa – sequence: 17 givenname: Vicky L surname: Baillie fullname: Baillie, Vicky L – sequence: 18 givenname: Gisela surname: Barrera-Badillo fullname: Barrera-Badillo, Gisela – sequence: 19 givenname: Godfrey surname: Bigogo fullname: Bigogo, Godfrey – sequence: 20 givenname: Shobha surname: Broor fullname: Broor, Shobha – sequence: 21 givenname: Dana surname: Bruden fullname: Bruden, Dana – sequence: 22 givenname: Philippe surname: Buchy fullname: Buchy, Philippe – sequence: 23 givenname: Peter surname: Byass fullname: Byass, Peter – sequence: 24 givenname: James surname: Chipeta fullname: Chipeta, James – sequence: 25 givenname: Wilfrido surname: Clara fullname: Clara, Wilfrido – sequence: 26 givenname: Duc-Anh surname: Dang fullname: Dang, Duc-Anh – sequence: 27 givenname: Carla Cecília surname: de Freitas Lázaro Emediato fullname: de Freitas Lázaro Emediato, Carla Cecília – sequence: 28 givenname: Menno surname: de Jong fullname: de Jong, Menno – sequence: 29 givenname: José Alberto surname: Díaz-Quiñonez fullname: Díaz-Quiñonez, José Alberto – sequence: 30 givenname: Lien Anh Ha surname: Do fullname: Do, Lien Anh Ha – sequence: 31 givenname: Rodrigo A surname: Fasce fullname: Fasce, Rodrigo A – sequence: 32 givenname: Luzhao surname: Feng fullname: Feng, Luzhao – sequence: 33 givenname: Mark J surname: Ferson fullname: Ferson, Mark J – sequence: 34 givenname: Angela surname: Gentile fullname: Gentile, Angela – sequence: 35 givenname: Bradford D surname: Gessner fullname: Gessner, Bradford D – sequence: 36 givenname: Doli surname: Goswami fullname: Goswami, Doli – sequence: 37 givenname: Sophie surname: Goyet fullname: Goyet, Sophie – sequence: 38 givenname: Carlos G surname: Grijalva fullname: Grijalva, Carlos G – sequence: 39 givenname: Natasha surname: Halasa fullname: Halasa, Natasha – sequence: 40 givenname: Orienka surname: Hellferscee fullname: Hellferscee, Orienka – sequence: 41 givenname: Danielle surname: Hessong fullname: Hessong, Danielle – sequence: 42 givenname: Nusrat surname: Homaira fullname: Homaira, Nusrat – sequence: 43 givenname: Jorge surname: Jara fullname: Jara, Jorge – sequence: 44 givenname: Kathleen surname: Kahn fullname: Kahn, Kathleen – sequence: 45 givenname: Najwa surname: Khuri-Bulos fullname: Khuri-Bulos, Najwa – sequence: 46 givenname: Karen L surname: Kotloff fullname: Kotloff, Karen L – sequence: 47 givenname: Claudio F surname: Lanata fullname: Lanata, Claudio F – sequence: 48 givenname: Olga surname: Lopez fullname: Lopez, Olga – sequence: 49 givenname: Maria Renee surname: Lopez Bolaños fullname: Lopez Bolaños, Maria Renee – sequence: 50 givenname: Marilla G surname: Lucero fullname: Lucero, Marilla G – sequence: 51 givenname: Florencia surname: Lucion fullname: Lucion, Florencia – sequence: 52 givenname: Socorro P surname: Lupisan fullname: Lupisan, Socorro P – sequence: 53 givenname: Shabir A surname: Madhi fullname: Madhi, Shabir A – sequence: 54 givenname: Omphile surname: Mekgoe fullname: Mekgoe, Omphile – sequence: 55 givenname: Cinta surname: Moraleda fullname: Moraleda, Cinta – sequence: 56 givenname: Jocelyn surname: Moyes fullname: Moyes, Jocelyn – sequence: 57 givenname: Kim surname: Mulholland fullname: Mulholland, Kim – sequence: 58 givenname: Patrick K surname: Munywoki fullname: Munywoki, Patrick K – sequence: 59 givenname: Fathima surname: Naby fullname: Naby, Fathima – sequence: 60 givenname: Thanh Hung surname: Nguyen fullname: Nguyen, Thanh Hung – sequence: 61 givenname: Mark P surname: Nicol fullname: Nicol, Mark P – sequence: 62 givenname: D James surname: Nokes fullname: Nokes, D James – sequence: 63 givenname: Daniel E surname: Noyola fullname: Noyola, Daniel E – sequence: 64 givenname: Daisuke surname: Onozuka fullname: Onozuka, Daisuke – sequence: 65 givenname: Nandhini surname: Palani fullname: Palani, Nandhini – sequence: 66 givenname: Yong surname: Poovorawan fullname: Poovorawan, Yong – sequence: 67 givenname: Mustafizur surname: Rahman fullname: Rahman, Mustafizur – sequence: 68 givenname: Kaat surname: Ramaekers fullname: Ramaekers, Kaat – sequence: 69 givenname: Candice surname: Romero fullname: Romero, Candice – sequence: 70 givenname: Elizabeth P surname: Schlaudecker fullname: Schlaudecker, Elizabeth P – sequence: 71 givenname: Brunhilde surname: Schweiger fullname: Schweiger, Brunhilde – sequence: 72 givenname: Phil surname: Seidenberg fullname: Seidenberg, Phil – sequence: 73 givenname: Eric A F surname: Simoes fullname: Simoes, Eric A F – sequence: 74 givenname: Rosalyn surname: Singleton fullname: Singleton, Rosalyn – sequence: 75 givenname: Sujatha surname: Sistla fullname: Sistla, Sujatha – sequence: 76 givenname: Katharine surname: Sturm-Ramirez fullname: Sturm-Ramirez, Katharine – sequence: 77 givenname: Nungruthai surname: Suntronwong fullname: Suntronwong, Nungruthai – sequence: 78 givenname: Agustinus surname: Sutanto fullname: Sutanto, Agustinus – sequence: 79 givenname: Milagritos D surname: Tapia fullname: Tapia, Milagritos D – sequence: 80 givenname: Somsak surname: Thamthitiwat fullname: Thamthitiwat, Somsak – sequence: 81 givenname: Ilada surname: Thongpan fullname: Thongpan, Ilada – sequence: 82 givenname: Gayani surname: Tillekeratne fullname: Tillekeratne, Gayani – sequence: 83 givenname: Yeny O surname: Tinoco fullname: Tinoco, Yeny O – sequence: 84 givenname: Florette K surname: Treurnicht fullname: Treurnicht, Florette K – sequence: 85 givenname: Claudia surname: Turner fullname: Turner, Claudia – sequence: 86 givenname: Paul surname: Turner fullname: Turner, Paul – sequence: 87 givenname: Rogier surname: van Doorn fullname: van Doorn, Rogier – sequence: 88 givenname: Marc surname: Van Ranst fullname: Van Ranst, Marc – sequence: 89 givenname: Benoit surname: Visseaux fullname: Visseaux, Benoit – sequence: 90 givenname: Sunthareeya surname: Waicharoen fullname: Waicharoen, Sunthareeya – sequence: 91 givenname: Jianwei surname: Wang fullname: Wang, Jianwei – sequence: 92 givenname: Lay-Myint surname: Yoshida fullname: Yoshida, Lay-Myint – sequence: 93 givenname: Heather J surname: Zar fullname: Zar, Heather J |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31303294$$D View this record in MEDLINE/PubMed https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-167286$$DView record from Swedish Publication Index (Umeå universitet) |
| BookMark | eNqNkt1u1DAQhSNUREvpI4ByWSQWbMf5MQihqkCpVIkLfsSdNbEn4OLEwXaKwnPwwHizywrKRYkVJRmf89nxnLvZ3uAGzLL7lDymhFZP3jFG-YoS8emYiocFYRVflbeyg11574_3_ewohEuSLiEKVtd3sv2CFqRggh9kP8-sa8HmI8SIfgi5GfLeDfGLnXNQ0VyZOOeuS-XOTjj8gPzK-Ck8yj2G0XiIzs95mAc1R5Mw28kRPPzjgEHnPUYYB5x6txSf5pDMIWIP0aikADsHE-5ltzuwAY-2z8Psw-tX70_frC7enp2fnlysVFU3ccW7phFtU3W6rjrKtdAAnUIQBSetYKLlteIl8rKBqlaqZBx1xQutKLaiKnVxmJ1vuNrBpRy96cHP0oGRS8H5zxJ82phFqaAlHQelSYGcImkUamhaRlWpa400sVYbVviO49T-RXtpPp4stKmfJK1q1lRJTzd6FSYlPSr0CuIi332sb0ZqJouKklokz_HGM3r3bcIQZW-CQmthQDcFyVjZ0HI9kvTBVjq1Perddn53PgnK7freheCx20kokeuQySVkcp0gSYVcQibX4GfXfMrE1L2UmdRze6P7xcaNqa1XBr0MyuCQDtOkv47p3M2NhOfXCMqawSiwX3H-D_8vYcoDxg |
| CitedBy_id | crossref_primary_10_1097_INF_0000000000002796 crossref_primary_10_1016_j_medcle_2020_01_006 crossref_primary_10_3390_nu12113361 crossref_primary_10_1177_20530196251334760 crossref_primary_10_3390_v15061306 crossref_primary_10_1093_jtm_taad102 crossref_primary_10_1371_journal_pone_0273962 crossref_primary_10_1016_S2213_2600_20_30322_2 crossref_primary_10_1038_s41467_025_62358_w crossref_primary_10_1038_s41598_022_15867_3 crossref_primary_10_1093_milmed_usab191 crossref_primary_10_3103_S0891416822030053 crossref_primary_10_1371_journal_pone_0278066 crossref_primary_10_1016_j_scitotenv_2023_162694 crossref_primary_10_1016_j_jpeds_2024_114144 crossref_primary_10_1016_S2352_4642_22_00377_7 crossref_primary_10_1093_ofid_ofaf160 crossref_primary_10_1016_S2214_109X_25_00188_3 crossref_primary_10_3389_fimmu_2021_730022 crossref_primary_10_1186_s12879_024_09783_2 crossref_primary_10_3390_jcm12051733 crossref_primary_10_1002_jmv_70601 crossref_primary_10_1016_j_lanwpc_2024_101050 crossref_primary_10_1186_s12931_020_01453_6 crossref_primary_10_1186_s12879_025_10654_7 crossref_primary_10_1016_j_rmed_2024_107828 crossref_primary_10_1093_infdis_jiaf111 crossref_primary_10_1093_jac_dkab246 crossref_primary_10_1186_s13052_024_01627_8 crossref_primary_10_3390_math9222958 crossref_primary_10_1002_jmv_28073 crossref_primary_10_1016_j_isci_2024_109323 crossref_primary_10_1371_journal_pdig_0000405 crossref_primary_10_1093_ofid_ofaf392 crossref_primary_10_1098_rsob_240231 crossref_primary_10_7759_cureus_73292 crossref_primary_10_1097_INF_0000000000004038 crossref_primary_10_1186_s12985_024_02542_4 crossref_primary_10_1093_infdis_jiaa436 crossref_primary_10_1002_jmv_70132 crossref_primary_10_3389_fped_2022_872199 crossref_primary_10_1093_cid_ciab1014 crossref_primary_10_1186_s12887_024_05300_1 crossref_primary_10_1093_ve_veaa052 crossref_primary_10_1007_s40121_025_01135_0 crossref_primary_10_1111_irv_13346 crossref_primary_10_3390_ijerph22060821 crossref_primary_10_1016_j_ajogmf_2021_100487 crossref_primary_10_1016_S0140_6736_24_00138_7 crossref_primary_10_7189_jogh_10_0101003 crossref_primary_10_1038_s41598_025_87332_w crossref_primary_10_1038_s41467_022_30485_3 crossref_primary_10_1186_s12880_021_00564_w crossref_primary_10_3390_v16030429 crossref_primary_10_1016_j_puhe_2023_10_031 crossref_primary_10_1007_s10238_022_00973_3 crossref_primary_10_3389_fpubh_2024_1298222 crossref_primary_10_1093_pnasnexus_pgad307 crossref_primary_10_3389_fimmu_2022_826666 crossref_primary_10_1111_irv_13334 crossref_primary_10_1016_j_jmii_2024_07_002 crossref_primary_10_1093_infdis_jiac064 crossref_primary_10_3390_v17020170 crossref_primary_10_1016_j_heliyon_2023_e14424 crossref_primary_10_1007_s00112_021_01278_7 crossref_primary_10_3389_fepid_2025_1578951 crossref_primary_10_1080_22221751_2025_2482703 crossref_primary_10_3390_microorganisms12071257 crossref_primary_10_1111_irv_70037 crossref_primary_10_1016_j_watres_2024_121612 crossref_primary_10_3389_fimmu_2022_863149 crossref_primary_10_3389_fpubh_2025_1502036 crossref_primary_10_1007_s12519_025_00888_5 crossref_primary_10_1016_j_watres_2024_122828 crossref_primary_10_1016_j_jinf_2022_01_042 crossref_primary_10_1111_1753_6405_13168 crossref_primary_10_1186_s12916_025_03888_4 crossref_primary_10_1016_j_micinf_2023_105219 crossref_primary_10_1186_s40001_022_00874_x crossref_primary_10_1186_s12879_021_06001_1 crossref_primary_10_1016_j_jpeds_2024_113932 crossref_primary_10_1371_journal_pone_0239729 crossref_primary_10_1007_s00484_024_02631_7 crossref_primary_10_1038_s41598_021_82443_6 crossref_primary_10_1016_j_jinf_2023_02_009 crossref_primary_10_1016_S1473_3099_20_30703_9 crossref_primary_10_1016_j_antiviral_2023_105791 crossref_primary_10_1183_13993003_03766_2020 crossref_primary_10_2807_1560_7917_ES_2025_30_11_2400375 crossref_primary_10_1007_s40121_024_01018_w crossref_primary_10_1093_jac_dkad076 crossref_primary_10_1097_INF_0000000000002761 crossref_primary_10_3390_tropicalmed7100317 crossref_primary_10_3390_v14122746 crossref_primary_10_4178_epih_e2025016 crossref_primary_10_1017_S0950268820002952 crossref_primary_10_3390_jcm12175501 crossref_primary_10_3389_fcimb_2025_1599536 crossref_primary_10_1183_16000617_0051_2022 crossref_primary_10_3389_fpubh_2025_1568049 crossref_primary_10_1016_j_ajem_2024_11_002 crossref_primary_10_1038_s41392_025_02377_7 crossref_primary_10_3390_diagnostics11060991 crossref_primary_10_1177_2632010X231218075 crossref_primary_10_1038_s41467_025_61400_1 crossref_primary_10_1371_journal_ppat_1011057 crossref_primary_10_1016_j_vaccine_2023_09_040 crossref_primary_10_1093_cid_ciae010 crossref_primary_10_1016_j_biopha_2024_116984 crossref_primary_10_1017_ice_2020_260 crossref_primary_10_1111_irv_12969 crossref_primary_10_1016_j_jinf_2024_106321 crossref_primary_10_1111_irv_12726 crossref_primary_10_7189_jogh_10_010426 crossref_primary_10_1007_s42770_023_01087_y crossref_primary_10_1093_ofid_ofab159 crossref_primary_10_1016_S1473_3099_19_30557_2 crossref_primary_10_7189_jogh_10_020110 crossref_primary_10_1007_s40121_022_00697_7 crossref_primary_10_3389_fpubh_2023_1269805 crossref_primary_10_3389_fpubh_2025_1494463 crossref_primary_10_1016_j_ijregi_2021_10_001 crossref_primary_10_1093_jtm_taaa093 crossref_primary_10_1186_s12879_024_09033_5 crossref_primary_10_12688_wellcomeopenres_17908_1 crossref_primary_10_1016_j_ijid_2023_11_019 crossref_primary_10_1111_irv_70123 crossref_primary_10_3390_pathogens9020109 crossref_primary_10_1016_j_ijid_2024_107231 crossref_primary_10_12688_wellcomeopenres_17908_3 crossref_primary_10_12688_wellcomeopenres_17908_2 crossref_primary_10_1016_j_diagmicrobio_2025_116729 crossref_primary_10_1186_s12879_025_11512_2 crossref_primary_10_1016_j_jmii_2024_08_003 crossref_primary_10_1111_irv_12838 crossref_primary_10_1371_journal_pone_0316807 crossref_primary_10_3390_tropicalmed10060168 crossref_primary_10_1016_j_jcvp_2021_100042 crossref_primary_10_1186_s12916_022_02269_5 crossref_primary_10_3390_md23040149 crossref_primary_10_1038_s41467_022_29402_5 crossref_primary_10_1007_s00285_021_01706_y crossref_primary_10_1016_j_mayocp_2020_05_028 crossref_primary_10_1093_infdis_jiad192 crossref_primary_10_1080_10286020_2024_2417211 crossref_primary_10_3390_vaccines13050470 crossref_primary_10_1016_j_jtct_2023_09_018 crossref_primary_10_1080_23744235_2021_1894351 crossref_primary_10_1136_bmjopen_2020_047961 crossref_primary_10_1002_cbic_202500216 crossref_primary_10_3390_v15020280 crossref_primary_10_2174_0929867327666201026150105 crossref_primary_10_1590_0001_3765202420230645 crossref_primary_10_1016_j_ajt_2025_03_025 crossref_primary_10_1016_S2214_109X_25_00048_8 crossref_primary_10_1038_s41467_024_53872_4 crossref_primary_10_1186_s12879_024_10268_5 crossref_primary_10_3390_vaccines12121415 crossref_primary_10_1093_ofid_ofad039 crossref_primary_10_1001_jamanetworkopen_2020_11834 crossref_primary_10_1590_0074_02760200232 crossref_primary_10_1016_S1473_3099_23_00200_1 crossref_primary_10_1097_EE9_0000000000000086 crossref_primary_10_1093_infdis_jiaf187 crossref_primary_10_1111_resp_14818 crossref_primary_10_1007_s40121_023_00792_3 crossref_primary_10_1038_s41390_024_03782_4 crossref_primary_10_1111_irv_12791 crossref_primary_10_1186_s12887_024_04686_2 crossref_primary_10_1371_journal_pone_0292652 crossref_primary_10_1016_j_ijid_2024_107372 crossref_primary_10_1186_s12906_023_03858_4 crossref_primary_10_1016_j_scitotenv_2021_148312 crossref_primary_10_1002_jmv_25636 crossref_primary_10_1002_ppul_71224 crossref_primary_10_1093_ofid_ofae238 crossref_primary_10_3390_microorganisms12081555 crossref_primary_10_1016_j_eclinm_2025_103352 crossref_primary_10_1016_j_vaccine_2021_03_096 crossref_primary_10_1038_s41598_020_67969_5 crossref_primary_10_7189_jogh_12_05040 crossref_primary_10_1002_ppul_26891 crossref_primary_10_3390_molecules28062673 crossref_primary_10_1128_cmr_00203_24 crossref_primary_10_1038_s41598_021_81078_x crossref_primary_10_1186_s12879_021_06397_w crossref_primary_10_1111_ajt_16383 crossref_primary_10_1016_j_jviromet_2025_115240 crossref_primary_10_3390_microorganisms13051086 crossref_primary_10_1016_j_vaccine_2022_09_081 crossref_primary_10_1093_ofid_ofad131 crossref_primary_10_3390_vaccines12121317 crossref_primary_10_1080_22221751_2024_2356143 crossref_primary_10_7717_peerj_15175 crossref_primary_10_1016_j_talanta_2025_127815 crossref_primary_10_1016_S1473_3099_22_00544_8 crossref_primary_10_1093_infdis_jiac216 crossref_primary_10_1038_s41467_021_23440_1 crossref_primary_10_3390_v17050651 crossref_primary_10_1016_j_ijbiomac_2024_137996 crossref_primary_10_1186_s12879_021_06785_2 crossref_primary_10_3390_pathogens14040375 crossref_primary_10_1007_s41030_025_00289_z crossref_primary_10_7759_cureus_18007 crossref_primary_10_1089_vim_2020_0018 crossref_primary_10_1186_s12916_021_01934_5 crossref_primary_10_1016_j_ebiom_2023_104593 crossref_primary_10_1016_j_onehlt_2025_101175 crossref_primary_10_1136_bmjopen_2022_060805 crossref_primary_10_1186_s12916_023_02827_5 crossref_primary_10_1093_jpids_piaa131 crossref_primary_10_1016_j_banm_2023_11_016 crossref_primary_10_1097_QCO_0000000000001000 crossref_primary_10_1111_irv_13050 crossref_primary_10_1128_jvi_00254_23 crossref_primary_10_21101_cejph_a6861 crossref_primary_10_1017_S0950268823000626 crossref_primary_10_1093_ofid_ofad244 crossref_primary_10_1002_jmv_28928 crossref_primary_10_1093_infdis_jiac227 crossref_primary_10_1055_s_0041_1740982 crossref_primary_10_1093_ve_veac062 crossref_primary_10_3390_vaccines12060640 crossref_primary_10_1111_irv_12885 crossref_primary_10_1186_s12879_021_05957_4 crossref_primary_10_1111_irv_12884 crossref_primary_10_1093_infdis_jiad551 crossref_primary_10_1136_bmjresp_2021_000887 crossref_primary_10_1186_s12931_025_03308_4 crossref_primary_10_1002_prp2_70112 crossref_primary_10_7189_jogh_12_04050 crossref_primary_10_1007_s00431_021_04135_7 crossref_primary_10_1093_infdis_jiae081 crossref_primary_10_3390_molecules27072263 crossref_primary_10_1097_JCMA_0000000000000289 crossref_primary_10_1038_s41467_024_48528_2 crossref_primary_10_1080_14760584_2025_2526601 crossref_primary_10_1002_jmv_70117 crossref_primary_10_1016_j_jcvp_2024_100190 crossref_primary_10_1016_j_vaccine_2025_127109 crossref_primary_10_1186_s12985_024_02336_8 crossref_primary_10_7189_jogh_10_0201102 crossref_primary_10_1016_j_jacig_2023_100092 crossref_primary_10_1016_j_jinf_2021_12_012 crossref_primary_10_12923_pielxxiw_2025_0012 crossref_primary_10_3390_children10040629 crossref_primary_10_1038_s41401_020_00573_5 crossref_primary_10_3389_fpubh_2021_628479 crossref_primary_10_1055_a_2500_2121 crossref_primary_10_1038_s41598_021_00927_x crossref_primary_10_1186_s40168_023_01597_9 crossref_primary_10_1007_s40272_021_00488_6 crossref_primary_10_1136_bmjopen_2020_040612 crossref_primary_10_1016_j_cmi_2020_04_005 crossref_primary_10_1080_09603123_2025_2488482 crossref_primary_10_1002_jmv_70006 crossref_primary_10_1016_j_lana_2025_101166 crossref_primary_10_1093_infdis_jiaa424 crossref_primary_10_1371_journal_pone_0243261 crossref_primary_10_1038_s41598_023_39617_1 crossref_primary_10_1590_0102_311xen122823 crossref_primary_10_3390_idr14040059 crossref_primary_10_1136_bmjresp_2023_001638 crossref_primary_10_1186_s41182_025_00711_x crossref_primary_10_1186_s12890_024_03281_6 crossref_primary_10_5812_archcid_112289 crossref_primary_10_1111_1742_6723_13961 crossref_primary_10_3389_fcimb_2024_1486953 crossref_primary_10_1016_j_jclinepi_2022_02_003 crossref_primary_10_3390_su13115931 crossref_primary_10_1089_vim_2023_0027 crossref_primary_10_1136_bmjph_2024_002441 crossref_primary_10_1099_jmm_0_001863 crossref_primary_10_1016_j_envres_2022_115149 crossref_primary_10_1093_jpids_piae129 crossref_primary_10_1093_infdis_jiab606 crossref_primary_10_4103_IJPAM_IJPAM_41_25 crossref_primary_10_1016_j_virol_2020_01_004 crossref_primary_10_1016_j_ijid_2023_02_002 crossref_primary_10_1016_j_jtct_2025_06_016 crossref_primary_10_1186_s12889_022_13555_5 crossref_primary_10_3892_ijmm_2020_4641 crossref_primary_10_1007_s44197_025_00390_1 crossref_primary_10_1111_irv_13303 crossref_primary_10_1016_j_medcli_2020_01_021 crossref_primary_10_1128_spectrum_03432_23 crossref_primary_10_1016_j_jinf_2020_05_078 crossref_primary_10_1186_s12889_021_11178_w crossref_primary_10_1136_bmjgh_2022_009693 crossref_primary_10_3390_v13102055 crossref_primary_10_1093_infdis_jiaf086 crossref_primary_10_1111_tmi_13501 crossref_primary_10_3390_microorganisms9061293 crossref_primary_10_1093_infdis_jiaf083 crossref_primary_10_1111_jpc_16643 crossref_primary_10_1177_25151355241310601 crossref_primary_10_1111_pai_14169 crossref_primary_10_1016_j_pathol_2025_06_011 crossref_primary_10_1002_jmv_70348 crossref_primary_10_1186_s12879_020_05392_x crossref_primary_10_3390_vaccines10111873 crossref_primary_10_1016_j_jinf_2025_106451 crossref_primary_10_1186_s12879_021_06461_5 crossref_primary_10_1136_bmjopen_2023_081019 crossref_primary_10_1016_j_trac_2021_116253 crossref_primary_10_1080_23744235_2021_1887510 crossref_primary_10_1093_infdis_jiad594 crossref_primary_10_3390_pediatric14040055 crossref_primary_10_3390_v16081289 crossref_primary_10_1097_CM9_0000000000003354 crossref_primary_10_1186_s12879_025_11421_4 crossref_primary_10_3390_jcm13185388 crossref_primary_10_3390_jpm11050416 crossref_primary_10_1016_j_vaccine_2021_08_057 crossref_primary_10_1186_s12985_021_01570_8 crossref_primary_10_1371_journal_pcbi_1011317 crossref_primary_10_15252_emmm_202115352 |
| Cites_doi | 10.1038/srep17214 10.1016/S0140-6736(17)30938-8 10.1073/pnas.1607747113 10.1371/journal.pmed.1000084 10.1086/507638 10.1126/scitranslmed.aaj1928 10.1111/j.1348-0421.2012.00507.x 10.1175/2011BAMS3015.1 10.1289/ehp.1002383 10.1016/j.jinf.2018.10.006 10.5194/cp-10-1983-2014 10.1371/journal.pone.0054445 10.1093/infdis/jiy056 10.1006/viro.2001.1355 10.1093/infdis/jis467 10.1371/journal.pone.0193263 10.2807/1560-7917.ES.2017.22.35.30606 10.2807/1560-7917.ES.2018.23.5.17-00284 10.1371/annotation/df689228-603f-4a40-bfbf-a38b13f88147 10.1371/journal.pone.0001296 10.1056/NEJMoa043951 10.1016/S1473-3099(18)30310-4 10.1177/156482650802900308 10.1097/01.inf.0000053882.70365.c9 |
| ContentType | Journal Article |
| Contributor | Palani, Nandhini Simoes, Eric A F Sturm-Ramirez, Katharine Visseaux, Benoit Gessner, Bradford D Wang, Jianwei Homaira, Nusrat Lucero, Marilla G Schlaudecker, Elizabeth P Bigogo, Godfrey Grijalva, Carlos G Halasa, Natasha Lopez, Olga Munywoki, Patrick K Baillie, Vicky L Sutanto, Agustinus Mulholland, Kim Romero, Candice Goswami, Doli Ramaekers, Kaat Turner, Paul Hessong, Danielle Onozuka, Daisuke Chipeta, James de Freitas Lázaro Emediato, Carla Cecília Kotloff, Karen L Rahman, Mustafizur Goyet, Sophie Nokes, D James Yoshida, Lay-Myint Noyola, Daniel E Seidenberg, Phil Waicharoen, Sunthareeya Bruden, Dana Naby, Fathima Lucion, Florencia Madhi, Shabir A Treurnicht, Florette K Khuri-Bulos, Najwa Nicol, Mark P Singleton, Rosalyn Ferson, Mark J de Jong, Menno Badarch, Darmaa Ayora Talavera, Guadalupe Schweiger, Brunhilde Moyes, Jocelyn Hellferscee, Orienka Lopez Bolaños, Maria Renee Dang, Duc-Anh Do, Lien Anh Ha Turner, Claudia Lupisan, Socorro P Suntronwong, Nungruthai Tapia, Milagritos D van Doorn, Rogier Nguyen, Thanh Hung Poovorawan, Yong Díaz- Byass, Peter Kahn, Kathleen |
| Contributor_xml | – sequence: 1 givenname: Sozinho surname: Acacio fullname: Acacio, Sozinho – sequence: 1 givenname: Peter surname: Byass fullname: Byass, Peter organization: Respiratory Syncytial Virus Global Epidemiology Network; Medical Research Council–Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa – sequence: 2 givenname: Wladimir J surname: Alonso fullname: Alonso, Wladimir J – sequence: 2 givenname: Kathleen surname: Kahn fullname: Kahn, Kathleen organization: Respiratory Syncytial Virus Global Epidemiology Network; Medical Research Council–Wits University Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa – sequence: 3 givenname: Martin surname: Antonio fullname: Antonio, Martin – sequence: 4 givenname: Guadalupe surname: Ayora Talavera fullname: Ayora Talavera, Guadalupe – sequence: 5 givenname: Darmaa surname: Badarch fullname: Badarch, Darmaa – sequence: 6 givenname: Vicky L surname: Baillie fullname: Baillie, Vicky L – sequence: 7 givenname: Gisela surname: Barrera-Badillo fullname: Barrera-Badillo, Gisela – sequence: 8 givenname: Godfrey surname: Bigogo fullname: Bigogo, Godfrey – sequence: 9 givenname: Shobha surname: Broor fullname: Broor, Shobha – sequence: 10 givenname: Dana surname: Bruden fullname: Bruden, Dana – sequence: 11 givenname: Philippe surname: Buchy fullname: Buchy, Philippe – sequence: 12 givenname: Peter surname: Byass fullname: Byass, Peter – sequence: 13 givenname: James surname: Chipeta fullname: Chipeta, James – sequence: 14 givenname: Wilfrido surname: Clara fullname: Clara, Wilfrido – sequence: 15 givenname: Duc-Anh surname: Dang fullname: Dang, Duc-Anh – sequence: 16 givenname: Carla Cecília surname: de Freitas Lázaro Emediato fullname: de Freitas Lázaro Emediato, Carla Cecília – sequence: 17 givenname: Menno surname: de Jong fullname: de Jong, Menno – sequence: 18 givenname: José Alberto surname: Díaz-Quiñonez fullname: Díaz-Quiñonez, José Alberto – sequence: 19 givenname: Lien Anh Ha surname: Do fullname: Do, Lien Anh Ha – sequence: 20 givenname: Rodrigo A surname: Fasce fullname: Fasce, Rodrigo A – sequence: 21 givenname: Luzhao surname: Feng fullname: Feng, Luzhao – sequence: 22 givenname: Mark J surname: Ferson fullname: Ferson, Mark J – sequence: 23 givenname: Angela surname: Gentile fullname: Gentile, Angela – sequence: 24 givenname: Bradford D surname: Gessner fullname: Gessner, Bradford D – sequence: 25 givenname: Doli surname: Goswami fullname: Goswami, Doli – sequence: 26 givenname: Sophie surname: Goyet fullname: Goyet, Sophie – sequence: 27 givenname: Carlos G surname: Grijalva fullname: Grijalva, Carlos G – sequence: 28 givenname: Natasha surname: Halasa fullname: Halasa, Natasha – sequence: 29 givenname: Orienka surname: Hellferscee fullname: Hellferscee, Orienka – sequence: 30 givenname: Danielle surname: Hessong fullname: Hessong, Danielle – sequence: 31 givenname: Nusrat surname: Homaira fullname: Homaira, Nusrat – sequence: 32 givenname: Jorge surname: Jara fullname: Jara, Jorge – sequence: 33 givenname: Kathleen surname: Kahn fullname: Kahn, Kathleen – sequence: 34 givenname: Najwa surname: Khuri-Bulos fullname: Khuri-Bulos, Najwa – sequence: 35 givenname: Karen L surname: Kotloff fullname: Kotloff, Karen L – sequence: 36 givenname: Claudio F surname: Lanata fullname: Lanata, Claudio F – sequence: 37 givenname: Olga surname: Lopez fullname: Lopez, Olga – sequence: 38 givenname: Maria Renee surname: Lopez Bolaños fullname: Lopez Bolaños, Maria Renee – sequence: 39 givenname: Marilla G surname: Lucero fullname: Lucero, Marilla G – sequence: 40 givenname: Florencia surname: Lucion fullname: Lucion, Florencia – sequence: 41 givenname: Socorro P surname: Lupisan fullname: Lupisan, Socorro P – sequence: 42 givenname: Shabir A surname: Madhi fullname: Madhi, Shabir A – sequence: 43 givenname: Omphile surname: Mekgoe fullname: Mekgoe, Omphile – sequence: 44 givenname: Cinta surname: Moraleda fullname: Moraleda, Cinta – sequence: 45 givenname: Jocelyn surname: Moyes fullname: Moyes, Jocelyn – sequence: 46 givenname: Kim surname: Mulholland fullname: Mulholland, Kim – sequence: 47 givenname: Patrick K surname: Munywoki fullname: Munywoki, Patrick K – sequence: 48 givenname: Fathima surname: Naby fullname: Naby, Fathima – sequence: 49 givenname: Thanh Hung surname: Nguyen fullname: Nguyen, Thanh Hung – sequence: 50 givenname: Mark P surname: Nicol fullname: Nicol, Mark P – sequence: 51 givenname: D James surname: Nokes fullname: Nokes, D James – sequence: 52 givenname: Daniel E surname: Noyola fullname: Noyola, Daniel E – sequence: 53 givenname: Daisuke surname: Onozuka fullname: Onozuka, Daisuke – sequence: 54 givenname: Nandhini surname: Palani fullname: Palani, Nandhini – sequence: 55 givenname: Yong surname: Poovorawan fullname: Poovorawan, Yong – sequence: 56 givenname: Mustafizur surname: Rahman fullname: Rahman, Mustafizur – sequence: 57 givenname: Kaat surname: Ramaekers fullname: Ramaekers, Kaat – sequence: 58 givenname: Candice surname: Romero fullname: Romero, Candice – sequence: 59 givenname: Elizabeth P surname: Schlaudecker fullname: Schlaudecker, Elizabeth P – sequence: 60 givenname: Brunhilde surname: Schweiger fullname: Schweiger, Brunhilde – sequence: 61 givenname: Phil surname: Seidenberg fullname: Seidenberg, Phil – sequence: 62 givenname: Eric A F surname: Simoes fullname: Simoes, Eric A F – sequence: 63 givenname: Rosalyn surname: Singleton fullname: Singleton, Rosalyn – sequence: 64 givenname: Sujatha surname: Sistla fullname: Sistla, Sujatha – sequence: 65 givenname: Katharine surname: Sturm-Ramirez fullname: Sturm-Ramirez, Katharine – sequence: 66 givenname: Nungruthai surname: Suntronwong fullname: Suntronwong, Nungruthai – sequence: 67 givenname: Agustinus surname: Sutanto fullname: Sutanto, Agustinus – sequence: 68 givenname: Milagritos D surname: Tapia fullname: Tapia, Milagritos D – sequence: 69 givenname: Somsak surname: Thamthitiwat fullname: Thamthitiwat, Somsak – sequence: 70 givenname: Ilada surname: Thongpan fullname: Thongpan, Ilada – sequence: 71 givenname: Gayani surname: Tillekeratne fullname: Tillekeratne, Gayani – sequence: 72 givenname: Yeny O surname: Tinoco fullname: Tinoco, Yeny O – sequence: 73 givenname: Florette K surname: Treurnicht fullname: Treurnicht, Florette K – sequence: 74 givenname: Claudia surname: Turner fullname: Turner, Claudia – sequence: 75 givenname: Paul surname: Turner fullname: Turner, Paul – sequence: 76 givenname: Rogier surname: van Doorn fullname: van Doorn, Rogier – sequence: 77 givenname: Marc surname: Van Ranst fullname: Van Ranst, Marc – sequence: 78 givenname: Benoit surname: Visseaux fullname: Visseaux, Benoit – sequence: 79 givenname: Sunthareeya surname: Waicharoen fullname: Waicharoen, Sunthareeya – sequence: 80 givenname: Jianwei surname: Wang fullname: Wang, Jianwei – sequence: 81 givenname: Lay-Myint surname: Yoshida fullname: Yoshida, Lay-Myint – sequence: 82 givenname: Heather J surname: Zar fullname: Zar, Heather J |
| Copyright | 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved. cc by (c) Li et al., 2019 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/es |
| Copyright_xml | – notice: 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license – notice: Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved. – notice: cc by (c) Li et al., 2019 info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by/3.0/es/">http://creativecommons.org/licenses/by/3.0/es/</a> |
| CorporateAuthor | RESCEU investigators RSV Global Epidemiology Network |
| CorporateAuthor_xml | – name: RESCEU investigators – name: RSV Global Epidemiology Network |
| DBID | 6I. AAFTH AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 XX2 ADHXS ADTPV AOWAS D8T D93 ZZAVC DOA |
| DOI | 10.1016/S2214-109X(19)30264-5 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic Recercat SWEPUB Umeå universitet full text SwePub SwePub Articles SWEPUB Freely available online SWEPUB Umeå universitet SwePub Articles full text DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic MEDLINE |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Public Health |
| EISSN | 2214-109X |
| EndPage | e1045 |
| ExternalDocumentID | oai_doaj_org_article_cab0f4acd03e41e08ceda8b21c5d7de1 oai_DiVA_org_umu_167286 oai_recercat_cat_2072_361079 31303294 10_1016_S2214_109X_19_30264_5 S2214109X19302645 |
| Genre | Research Support, Non-U.S. Gov't Systematic Review Journal Article |
| GrantInformation | European Union Innovative Medicines Initiative Respiratory Syncytial Virus Consortium in Europe (RESCEU). |
| GroupedDBID | .1- .FO 0R~ 1P~ 457 53G AAEDT AAEDW AAIKJ AALRI AAMRU AAXUO AAYWO ABMAC ACGFS ACHQT ACVFH ADBBV ADCNI ADEZE ADVLN AENEX AEUPX AEVXI AEXQZ AFPUW AFRHN AFTJW AGHFR AIGII AITUG AJUYK AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ APXCP BAWUL BCNDV DIK EBS EJD FDB GROUPED_DOAJ HZ~ IPNFZ IXB KQ8 M41 M~E O9- OD. OK1 OO~ RIG ROL SSZ Z5R 0SF 6I. AACTN AAFTH AFCTW NCXOZ AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 XX2 ADHXS ADTPV AOWAS D8T D93 ZZAVC |
| ID | FETCH-LOGICAL-c678t-4f889b86fd76f14d9daafcea9340b929b47c45e458a67cc524ed643dc1eb965d3 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 358 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000474823700027&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2214-109X |
| IngestDate | Fri Oct 03 12:51:22 EDT 2025 Tue Nov 04 17:13:07 EST 2025 Fri Nov 07 13:46:18 EST 2025 Fri Sep 05 08:27:20 EDT 2025 Thu Jan 02 22:58:54 EST 2025 Tue Nov 18 22:22:51 EST 2025 Wed Nov 05 20:32:25 EST 2025 Wed May 17 01:33:42 EDT 2023 Tue Aug 26 16:32:27 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 8 |
| Language | English |
| License | This is an open access article under the CC BY license. Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c678t-4f889b86fd76f14d9daafcea9340b929b47c45e458a67cc524ed643dc1eb965d3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 |
| OpenAccessLink | https://doaj.org/article/cab0f4acd03e41e08ceda8b21c5d7de1 |
| PMID | 31303294 |
| PQID | 2258151515 |
| PQPubID | 23479 |
| PageCount | 15 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_cab0f4acd03e41e08ceda8b21c5d7de1 swepub_primary_oai_DiVA_org_umu_167286 csuc_recercat_oai_recercat_cat_2072_361079 proquest_miscellaneous_2258151515 pubmed_primary_31303294 crossref_primary_10_1016_S2214_109X_19_30264_5 crossref_citationtrail_10_1016_S2214_109X_19_30264_5 elsevier_sciencedirect_doi_10_1016_S2214_109X_19_30264_5 elsevier_clinicalkey_doi_10_1016_S2214_109X_19_30264_5 |
| PublicationCentury | 2000 |
| PublicationDate | 2019-08-01 |
| PublicationDateYYYYMMDD | 2019-08-01 |
| PublicationDate_xml | – month: 08 year: 2019 text: 2019-08-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England |
| PublicationTitle | The Lancet global health |
| PublicationTitleAlternate | Lancet Glob Health |
| PublicationYear | 2019 |
| Publisher | Elsevier Ltd Elsevier |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier |
| References | Newman, Bhat, Fleming, Neuzil (bib10) 2018; 13 Nair, Li (bib25) 2019 Alonso, Yu, Viboud (bib5) 2015; 5 Azziz Baumgartner, Dao, Nasreen (bib6) 2012; 206 Tamerius, Shaman, Alonso (bib14) 2013; 9 Willett, Dunn, Thorne (bib24) 2014; 10 Fry, Curns, Harbour, Hutwagner, Holman, Anderson (bib28) 2006; 43 Caini, Andrade, Badur (bib7) 2016; 11 Tamerius, Nelson, Zhou, Viboud, Miller, Alonso (bib31) 2011; 119 Sabuncu, David, Bernède-Bauduin (bib35) 2009; 6 Caini, Alonso, Seblain, Schellevis, Paget (bib26) 2017; 22 Shi, Arnott, Semogas (bib3) 2019 Shi, McLean, Campbell, Nair (bib1) 2015; 5 Broberg, Waris, Johansen, Snacken, Penttinen, Network (bib36) 2018; 23 Hillbruner, Egan (bib37) 2008; 29 Muscatello (bib15) 2018; 78 Obando-Pacheco, Justicia-Grande, Rivero-Calle (bib12) 2018; 217 Bloom-Feshbach, Alonso, Charu (bib11) 2013; 8 (bib18) 2018 Zhu, McLellan, Kallewaard (bib33) 2017; 9 Shi, McAllister, O'Brien (bib16) 2017; 390 (bib20) 2018 Mizuta, Abiko, Aoki (bib29) 2012; 56 Deyle, Maher, Hernandez, Basu, Sugihara (bib8) 2016; 113 He, Lui, Wang, Tse, Yang, Stone (bib9) 2015; 5 Finkelman, Viboud, Koelle, Ferrari, Bharti, Grenfell (bib27) 2007; 2 Stensballe, Devasundaram, Simoes (bib13) 2003; 22 (bib32) 2018 Falsey, Hennessey, Formica, Cox, Walsh (bib2) 2005; 352 (bib22) 2018 Smith, Lott, Vose (bib23) 2011; 92 (bib21) 2018 (bib17) 2018 Troeger, Blacker, Khalil (bib4) 2018; 18 van den Hoogen, Bestebroer, Osterhaus, Fouchier (bib30) 2002; 295 (bib19) 2015 (bib34) 2017 Caini (10.1016/S2214-109X(19)30264-5_bib26) 2017; 22 Shi (10.1016/S2214-109X(19)30264-5_bib1) 2015; 5 Mizuta (10.1016/S2214-109X(19)30264-5_bib29) 2012; 56 Smith (10.1016/S2214-109X(19)30264-5_bib23) 2011; 92 Zhu (10.1016/S2214-109X(19)30264-5_bib33) 2017; 9 Nair (10.1016/S2214-109X(19)30264-5_bib25) 2019 Shi (10.1016/S2214-109X(19)30264-5_bib3) 2019 Deyle (10.1016/S2214-109X(19)30264-5_bib8) 2016; 113 Falsey (10.1016/S2214-109X(19)30264-5_bib2) 2005; 352 Alonso (10.1016/S2214-109X(19)30264-5_bib5) 2015; 5 van den Hoogen (10.1016/S2214-109X(19)30264-5_bib30) 2002; 295 Fry (10.1016/S2214-109X(19)30264-5_bib28) 2006; 43 Willett (10.1016/S2214-109X(19)30264-5_bib24) 2014; 10 Broberg (10.1016/S2214-109X(19)30264-5_bib36) 2018; 23 Troeger (10.1016/S2214-109X(19)30264-5_bib4) 2018; 18 Bloom-Feshbach (10.1016/S2214-109X(19)30264-5_bib11) 2013; 8 Hillbruner (10.1016/S2214-109X(19)30264-5_bib37) 2008; 29 Stensballe (10.1016/S2214-109X(19)30264-5_bib13) 2003; 22 Shi (10.1016/S2214-109X(19)30264-5_bib16) 2017; 390 He (10.1016/S2214-109X(19)30264-5_bib9) 2015; 5 Obando-Pacheco (10.1016/S2214-109X(19)30264-5_bib12) 2018; 217 Sabuncu (10.1016/S2214-109X(19)30264-5_bib35) 2009; 6 Tamerius (10.1016/S2214-109X(19)30264-5_bib14) 2013; 9 Tamerius (10.1016/S2214-109X(19)30264-5_bib31) 2011; 119 Newman (10.1016/S2214-109X(19)30264-5_bib10) 2018; 13 Muscatello (10.1016/S2214-109X(19)30264-5_bib15) 2018; 78 Caini (10.1016/S2214-109X(19)30264-5_bib7) 2016; 11 Finkelman (10.1016/S2214-109X(19)30264-5_bib27) 2007; 2 Azziz Baumgartner (10.1016/S2214-109X(19)30264-5_bib6) 2012; 206 31303303 - Lancet Glob Health. 2019 Aug;7(8):e982-e983 |
| References_xml | – volume: 352 start-page: 1749 year: 2005 end-page: 1759 ident: bib2 article-title: Respiratory syncytial virus infection in elderly and high-risk adults publication-title: N Engl J Med – year: 2018 ident: bib22 article-title: Virology annual report – volume: 5 year: 2015 ident: bib5 article-title: A global map of hemispheric influenza vaccine recommendations based on local patterns of viral circulation publication-title: Sci Rep – volume: 56 start-page: 855 year: 2012 end-page: 858 ident: bib29 article-title: Epidemiology of parainfluenza virus types 1, 2 and 3 infections based on virus isolation between 2002 and 2011 in Yamagata, Japan publication-title: Microbiol Immunol – year: 2019 ident: bib3 article-title: The etiological role of common respiratory viruses in acute respiratory infections in older adults: a systematic review and meta-analysis publication-title: J Infect Dis – year: 2018 ident: bib32 article-title: Fact sheets. Influenza (seasonal) – volume: 22 start-page: S21 year: 2003 end-page: S32 ident: bib13 article-title: Respiratory syncytial virus epidemics: the ups and downs of a seasonal virus publication-title: Pediatr Infect Dis J – volume: 113 start-page: 13081 year: 2016 end-page: 13086 ident: bib8 article-title: Global environmental drivers of influenza publication-title: Proc Natl Acad Sci USA – volume: 43 start-page: 1016 year: 2006 end-page: 1022 ident: bib28 article-title: Seasonal trends of human parainfluenza viral infections: United States, 1990–2004 publication-title: Clin Infect Dis – volume: 206 start-page: 838 year: 2012 end-page: 846 ident: bib6 article-title: Seasonality, timing, and climate drivers of influenza activity worldwide publication-title: J Infect Dis – volume: 92 start-page: 704 year: 2011 end-page: 708 ident: bib23 article-title: The integrated surface database: recent developments and partnerships publication-title: Bull Am Meteorol Soc – year: 2018 ident: bib20 article-title: Detection of pathogens from respiratory specimens – volume: 78 start-page: 140 year: 2018 end-page: 149 ident: bib15 article-title: Redefining influenza seasonality at a global scale and aligning it to the influenza vaccine manufacturing cycle: a descriptive time series analysis publication-title: J Infect – volume: 18 start-page: 1191 year: 2018 end-page: 1210 ident: bib4 article-title: Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 publication-title: Lancet Infect Dis – volume: 9 year: 2013 ident: bib14 article-title: Environmental predictors of seasonal influenza epidemics across temperate and tropical climates publication-title: PLoS Pathog – volume: 217 start-page: 1356 year: 2018 end-page: 1364 ident: bib12 article-title: Respiratory syncytial virus seasonality: a global overview publication-title: J Infect Dis – volume: 9 year: 2017 ident: bib33 article-title: A highly potent extended half-life antibody as a potential RSV vaccine surrogate for all infants publication-title: Sci Transl Med – volume: 13 year: 2018 ident: bib10 article-title: Global influenza seasonality to inform country-level vaccine programs: an analysis of WHO FluNet influenza surveillance data between 2011 and 2016 publication-title: PLoS One – volume: 2 year: 2007 ident: bib27 article-title: Global patterns in seasonal activity of influenza A/H3N2, A/H1N1, and B from 1997 to 2005: viral coexistence and latitudinal gradients publication-title: PLoS One – year: 2018 ident: bib17 article-title: FluNet – year: 2015 ident: bib19 article-title: Isolation and detection of viruses in the past years – volume: 23 start-page: 17 year: 2018 end-page: 00284 ident: bib36 article-title: Seasonality and geographical spread of respiratory syncytial virus epidemics in 15 European countries, 2010 to 2016 publication-title: Euro Surveill – volume: 390 start-page: 946 year: 2017 end-page: 958 ident: bib16 article-title: Global, regional, and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in young children in 2015: a systematic review and modelling study publication-title: Lancet – year: 2017 ident: bib34 article-title: WHO global respiratory syncytial virus surveillance – volume: 8 year: 2013 ident: bib11 article-title: Latitudinal variations in seasonal activity of influenza and respiratory syncytial virus (RSV): a global comparative review publication-title: PLoS One – year: 2019 ident: bib25 article-title: Global patterns in monthly activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus: a systematic analysis [dataset] – volume: 5 year: 2015 ident: bib9 article-title: Global spatio-temporal patterns of influenza in the post-pandemic era publication-title: Sci Rep – year: 2018 ident: bib21 article-title: Open Government Portal – year: 2018 ident: bib18 article-title: FluID – volume: 10 year: 2014 ident: bib24 article-title: HadISDH land surface multi-variable humidity and temperature record for climate monitoring publication-title: Clim Past – volume: 29 start-page: 221 year: 2008 end-page: 231 ident: bib37 article-title: Seasonality, household food security, and nutritional status in Dinajpur, Bangladesh publication-title: Food Nutr Bull – volume: 6 year: 2009 ident: bib35 article-title: Significant reduction of antibiotic use in the community after a nationwide campaign in France, 2002–07 publication-title: PLoS Med – volume: 22 year: 2017 ident: bib26 article-title: The spatiotemporal characteristics of influenza A and B in the WHO European Region: can one define influenza transmission zones in Europe? publication-title: Euro Surveill – volume: 119 start-page: 439 year: 2011 end-page: 445 ident: bib31 article-title: Global influenza seasonality: reconciling patterns across temperate and tropical regions publication-title: Environ Health Perspect – volume: 5 year: 2015 ident: bib1 article-title: Aetiological role of common respiratory viruses in acute lower respiratory infections in children under five years: a systematic review and meta–analysis publication-title: J Glob Health – volume: 295 start-page: 119 year: 2002 end-page: 132 ident: bib30 article-title: Analysis of the genomic sequence of a human metapneumovirus publication-title: Virology – volume: 11 year: 2016 ident: bib7 article-title: Temporal patterns of influenza A and B in tropical and temperate countries: what are the lessons for influenza vaccination? publication-title: PLoS One – volume: 5 year: 2015 ident: 10.1016/S2214-109X(19)30264-5_bib1 article-title: Aetiological role of common respiratory viruses in acute lower respiratory infections in children under five years: a systematic review and meta–analysis publication-title: J Glob Health – volume: 5 year: 2015 ident: 10.1016/S2214-109X(19)30264-5_bib5 article-title: A global map of hemispheric influenza vaccine recommendations based on local patterns of viral circulation publication-title: Sci Rep doi: 10.1038/srep17214 – volume: 11 year: 2016 ident: 10.1016/S2214-109X(19)30264-5_bib7 article-title: Temporal patterns of influenza A and B in tropical and temperate countries: what are the lessons for influenza vaccination? publication-title: PLoS One – volume: 390 start-page: 946 year: 2017 ident: 10.1016/S2214-109X(19)30264-5_bib16 article-title: Global, regional, and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in young children in 2015: a systematic review and modelling study publication-title: Lancet doi: 10.1016/S0140-6736(17)30938-8 – volume: 113 start-page: 13081 year: 2016 ident: 10.1016/S2214-109X(19)30264-5_bib8 article-title: Global environmental drivers of influenza publication-title: Proc Natl Acad Sci USA doi: 10.1073/pnas.1607747113 – volume: 5 year: 2015 ident: 10.1016/S2214-109X(19)30264-5_bib9 article-title: Global spatio-temporal patterns of influenza in the post-pandemic era publication-title: Sci Rep – year: 2019 ident: 10.1016/S2214-109X(19)30264-5_bib25 – volume: 6 year: 2009 ident: 10.1016/S2214-109X(19)30264-5_bib35 article-title: Significant reduction of antibiotic use in the community after a nationwide campaign in France, 2002–07 publication-title: PLoS Med doi: 10.1371/journal.pmed.1000084 – volume: 43 start-page: 1016 year: 2006 ident: 10.1016/S2214-109X(19)30264-5_bib28 article-title: Seasonal trends of human parainfluenza viral infections: United States, 1990–2004 publication-title: Clin Infect Dis doi: 10.1086/507638 – volume: 9 year: 2017 ident: 10.1016/S2214-109X(19)30264-5_bib33 article-title: A highly potent extended half-life antibody as a potential RSV vaccine surrogate for all infants publication-title: Sci Transl Med doi: 10.1126/scitranslmed.aaj1928 – volume: 56 start-page: 855 year: 2012 ident: 10.1016/S2214-109X(19)30264-5_bib29 article-title: Epidemiology of parainfluenza virus types 1, 2 and 3 infections based on virus isolation between 2002 and 2011 in Yamagata, Japan publication-title: Microbiol Immunol doi: 10.1111/j.1348-0421.2012.00507.x – volume: 92 start-page: 704 year: 2011 ident: 10.1016/S2214-109X(19)30264-5_bib23 article-title: The integrated surface database: recent developments and partnerships publication-title: Bull Am Meteorol Soc doi: 10.1175/2011BAMS3015.1 – volume: 119 start-page: 439 year: 2011 ident: 10.1016/S2214-109X(19)30264-5_bib31 article-title: Global influenza seasonality: reconciling patterns across temperate and tropical regions publication-title: Environ Health Perspect doi: 10.1289/ehp.1002383 – volume: 78 start-page: 140 year: 2018 ident: 10.1016/S2214-109X(19)30264-5_bib15 article-title: Redefining influenza seasonality at a global scale and aligning it to the influenza vaccine manufacturing cycle: a descriptive time series analysis publication-title: J Infect doi: 10.1016/j.jinf.2018.10.006 – volume: 10 year: 2014 ident: 10.1016/S2214-109X(19)30264-5_bib24 article-title: HadISDH land surface multi-variable humidity and temperature record for climate monitoring publication-title: Clim Past doi: 10.5194/cp-10-1983-2014 – volume: 8 year: 2013 ident: 10.1016/S2214-109X(19)30264-5_bib11 article-title: Latitudinal variations in seasonal activity of influenza and respiratory syncytial virus (RSV): a global comparative review publication-title: PLoS One doi: 10.1371/journal.pone.0054445 – volume: 217 start-page: 1356 year: 2018 ident: 10.1016/S2214-109X(19)30264-5_bib12 article-title: Respiratory syncytial virus seasonality: a global overview publication-title: J Infect Dis doi: 10.1093/infdis/jiy056 – volume: 295 start-page: 119 year: 2002 ident: 10.1016/S2214-109X(19)30264-5_bib30 article-title: Analysis of the genomic sequence of a human metapneumovirus publication-title: Virology doi: 10.1006/viro.2001.1355 – volume: 206 start-page: 838 year: 2012 ident: 10.1016/S2214-109X(19)30264-5_bib6 article-title: Seasonality, timing, and climate drivers of influenza activity worldwide publication-title: J Infect Dis doi: 10.1093/infdis/jis467 – volume: 13 year: 2018 ident: 10.1016/S2214-109X(19)30264-5_bib10 article-title: Global influenza seasonality to inform country-level vaccine programs: an analysis of WHO FluNet influenza surveillance data between 2011 and 2016 publication-title: PLoS One doi: 10.1371/journal.pone.0193263 – volume: 22 year: 2017 ident: 10.1016/S2214-109X(19)30264-5_bib26 article-title: The spatiotemporal characteristics of influenza A and B in the WHO European Region: can one define influenza transmission zones in Europe? publication-title: Euro Surveill doi: 10.2807/1560-7917.ES.2017.22.35.30606 – volume: 23 start-page: 17 year: 2018 ident: 10.1016/S2214-109X(19)30264-5_bib36 article-title: Seasonality and geographical spread of respiratory syncytial virus epidemics in 15 European countries, 2010 to 2016 publication-title: Euro Surveill doi: 10.2807/1560-7917.ES.2018.23.5.17-00284 – volume: 9 year: 2013 ident: 10.1016/S2214-109X(19)30264-5_bib14 article-title: Environmental predictors of seasonal influenza epidemics across temperate and tropical climates publication-title: PLoS Pathog doi: 10.1371/annotation/df689228-603f-4a40-bfbf-a38b13f88147 – volume: 2 year: 2007 ident: 10.1016/S2214-109X(19)30264-5_bib27 article-title: Global patterns in seasonal activity of influenza A/H3N2, A/H1N1, and B from 1997 to 2005: viral coexistence and latitudinal gradients publication-title: PLoS One doi: 10.1371/journal.pone.0001296 – volume: 352 start-page: 1749 year: 2005 ident: 10.1016/S2214-109X(19)30264-5_bib2 article-title: Respiratory syncytial virus infection in elderly and high-risk adults publication-title: N Engl J Med doi: 10.1056/NEJMoa043951 – volume: 18 start-page: 1191 year: 2018 ident: 10.1016/S2214-109X(19)30264-5_bib4 article-title: Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016 publication-title: Lancet Infect Dis doi: 10.1016/S1473-3099(18)30310-4 – volume: 29 start-page: 221 year: 2008 ident: 10.1016/S2214-109X(19)30264-5_bib37 article-title: Seasonality, household food security, and nutritional status in Dinajpur, Bangladesh publication-title: Food Nutr Bull doi: 10.1177/156482650802900308 – volume: 22 start-page: S21 issue: suppl 2 year: 2003 ident: 10.1016/S2214-109X(19)30264-5_bib13 article-title: Respiratory syncytial virus epidemics: the ups and downs of a seasonal virus publication-title: Pediatr Infect Dis J doi: 10.1097/01.inf.0000053882.70365.c9 – year: 2019 ident: 10.1016/S2214-109X(19)30264-5_bib3 article-title: The etiological role of common respiratory viruses in acute respiratory infections in older adults: a systematic review and meta-analysis publication-title: J Infect Dis – reference: 31303303 - Lancet Glob Health. 2019 Aug;7(8):e982-e983 |
| SSID | ssj0000993277 |
| Score | 2.636614 |
| SecondaryResourceType | review_article |
| Snippet | Influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most common viruses associated with acute lower respiratory... Background: Influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most common viruses associated with acute lower... BACKGROUND: Influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most common viruses associated with acute lower... Background: Influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus are the most common viruses associated with acute lower... |
| SourceID | doaj swepub csuc proquest pubmed crossref elsevier |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | e1031 |
| SubjectTerms | Epidemiologia Epidemiology Female Global Health Humans Influenza A virus - isolation & purification Influenza, Human - epidemiology Malalties de l'aparell respiratori Male Metapneumovirus - isolation & purification Paramyxoviridae Infections - epidemiology Respiratory diseases Respiratory Syncytial Virus Infections - epidemiology Respiratory Syncytial Virus, Human - isolation & purification |
| Title | Global patterns in monthly activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus: a systematic analysis |
| URI | https://www.clinicalkey.com/#!/content/1-s2.0-S2214109X19302645 https://dx.doi.org/10.1016/S2214-109X(19)30264-5 https://www.ncbi.nlm.nih.gov/pubmed/31303294 https://www.proquest.com/docview/2258151515 https://recercat.cat/handle/2072/361079 https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-167286 https://doaj.org/article/cab0f4acd03e41e08ceda8b21c5d7de1 |
| Volume | 7 |
| WOSCitedRecordID | wos000474823700027&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2214-109X dateEnd: 20231231 omitProxy: false ssIdentifier: ssj0000993277 issn: 2214-109X databaseCode: DOA dateStart: 20130101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2214-109X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000993277 issn: 2214-109X databaseCode: M~E dateStart: 20130101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3LjtMwFLWgYoGE0PAuAyMjIQSIMLHj-MFugBmxYYTEQ91Zju2IojatmmSkYcFX8MFcx2k6ZRZlwaKR6vpadXxy73Fsn4vQU-KNAedYJJZRkTBlbWKkC7ssZGldwblXpks2IU5P5WSiPl1I9RX2hEV54HjjDq0p0pIZ69LMM-JTab0zsqDE5k443018gPVcmEz9iLwno13aRUoJA1-jJpvjO4efh8LnRL3IYBrCknwrMI1s3dpexn8rTF2moX9pjHZx6WQP3ewJJT6KHbmFrvjqNroR38bheMjoDvodpf3xslPTrGo8rTDgr_k-O8fhZENIIIEXJRR3KUt-Gnw2XbX1K7zarMTj-hwcMTiE2frHIBt-ycJUDs99Y5aVb-eLrvANNnijGA01og7KXfT15PjLuw9Jn48hsRDSmoSVUqpC8tIJXhLmlDOmtN6ojKUF0KyCCctyz3JpuLA2p8w7IDzOEl8onrvsHhpVi8o_QJinXnACbXHgY8ZAUwxmojn1hcjzzNExYuvB0LYXKw85M2Z62JUWxjCsn080UbobQ52P0evBbBnVOnYZvAwjrSG6-JU1jQ5q28OX8KGpoDoDkinUGL0NeBhaDnW7AsCr7vGqd-F1jPgaTXp9-BXcNTQ03fVX5WDYs6PIev7F9Mkathq8R1gSMpVftLUGby4DpSVQ537E89C9LNAbqtgYPYsA3-r4--m3o67j7bzVhAsq-cP_cX_20XXgpCrusXyERs2q9Y_RNXvWTOvVAboqJvKge9bh-vHX8R9XhFgM |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Global+patterns+in+monthly+activity+of+influenza+virus%2C+respiratory+syncytial+virus%2C+parainfluenza+virus%2C+and+metapneumovirus%3A+a+systematic+analysis&rft.jtitle=The+Lancet+global+health&rft.au=Li%2C+You&rft.au=Reeves%2C+Rachel+M&rft.au=Wang%2C+Xin&rft.au=Bassat%2C+Quique&rft.date=2019-08-01&rft.issn=2214-109X&rft.eissn=2214-109X&rft.volume=7&rft.issue=8&rft.spage=e1031&rft_id=info:doi/10.1016%2FS2214-109X%2819%2930264-5&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2214-109X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2214-109X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2214-109X&client=summon |