A pre-symptomatic incubation model for precision strategies of screening, quarantine, and isolation based on imported COVID-19 cases in Taiwan
Facing the emerging COVID viral variants and the uneven distribution of vaccine worldwide, imported pre-symptomatic COVID-19 cases play a pivotal role in border control strategies. A stochastic disease process and computer simulation experiments with Bayesian underpinning was therefore developed to...
Saved in:
| Published in: | Scientific reports Vol. 12; no. 1; pp. 6053 - 11 |
|---|---|
| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
Nature Publishing Group UK
11.04.2022
Nature Publishing Group Nature Portfolio |
| Subjects: | |
| ISSN: | 2045-2322, 2045-2322 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Facing the emerging COVID viral variants and the uneven distribution of vaccine worldwide, imported pre-symptomatic COVID-19 cases play a pivotal role in border control strategies. A stochastic disease process and computer simulation experiments with Bayesian underpinning was therefore developed to model pre-symptomatic disease progression during incubation period on which we were based to provide precision strategies for containing the resultant epidemic caused by imported COVID-19 cases. We then applied the proposed model to data on 1051 imported COVID-19 cases among inbound passengers to Taiwan between March 2020 and April 2021. The overall daily rate (per 100,000) of pre-symptomatic COVID-19 cases was estimated as 106 (95% credible interval (CrI): 95–117) in March–June 2020, fell to 37 (95% CrI: 28–47) in July–September 2020 (p < 0.0001), resurged to 141 (95% CrI: 118–164) in October–December 2020 (p < 0.0001), and declined to 90 (95% CrI: 73–108) in January–April 2021 (p = 0.0004). Given the median dwelling time, over 82% cases would progress from pre-symptomatic to symptomatic phase in 5-day quarantine. The time required for quarantine given two real-time polymerase chain reaction (RT-PCR) tests depends on the risk of departing countries, testing and quarantine strategies, and whether the passengers have vaccine jabs. Our proposed four-compartment stochastic process and computer simulation experiments design underpinning Bayesian MCMC algorithm facilitated the development of precision strategies for imported COVID-19 cases. |
|---|---|
| AbstractList | Abstract Facing the emerging COVID viral variants and the uneven distribution of vaccine worldwide, imported pre-symptomatic COVID-19 cases play a pivotal role in border control strategies. A stochastic disease process and computer simulation experiments with Bayesian underpinning was therefore developed to model pre-symptomatic disease progression during incubation period on which we were based to provide precision strategies for containing the resultant epidemic caused by imported COVID-19 cases. We then applied the proposed model to data on 1051 imported COVID-19 cases among inbound passengers to Taiwan between March 2020 and April 2021. The overall daily rate (per 100,000) of pre-symptomatic COVID-19 cases was estimated as 106 (95% credible interval (CrI): 95–117) in March–June 2020, fell to 37 (95% CrI: 28–47) in July–September 2020 (p < 0.0001), resurged to 141 (95% CrI: 118–164) in October–December 2020 (p < 0.0001), and declined to 90 (95% CrI: 73–108) in January–April 2021 (p = 0.0004). Given the median dwelling time, over 82% cases would progress from pre-symptomatic to symptomatic phase in 5-day quarantine. The time required for quarantine given two real-time polymerase chain reaction (RT-PCR) tests depends on the risk of departing countries, testing and quarantine strategies, and whether the passengers have vaccine jabs. Our proposed four-compartment stochastic process and computer simulation experiments design underpinning Bayesian MCMC algorithm facilitated the development of precision strategies for imported COVID-19 cases. Facing the emerging COVID viral variants and the uneven distribution of vaccine worldwide, imported pre-symptomatic COVID-19 cases play a pivotal role in border control strategies. A stochastic disease process and computer simulation experiments with Bayesian underpinning was therefore developed to model pre-symptomatic disease progression during incubation period on which we were based to provide precision strategies for containing the resultant epidemic caused by imported COVID-19 cases. We then applied the proposed model to data on 1051 imported COVID-19 cases among inbound passengers to Taiwan between March 2020 and April 2021. The overall daily rate (per 100,000) of pre-symptomatic COVID-19 cases was estimated as 106 (95% credible interval (CrI): 95–117) in March–June 2020, fell to 37 (95% CrI: 28–47) in July–September 2020 (p < 0.0001), resurged to 141 (95% CrI: 118–164) in October–December 2020 (p < 0.0001), and declined to 90 (95% CrI: 73–108) in January–April 2021 (p = 0.0004). Given the median dwelling time, over 82% cases would progress from pre-symptomatic to symptomatic phase in 5-day quarantine. The time required for quarantine given two real-time polymerase chain reaction (RT-PCR) tests depends on the risk of departing countries, testing and quarantine strategies, and whether the passengers have vaccine jabs. Our proposed four-compartment stochastic process and computer simulation experiments design underpinning Bayesian MCMC algorithm facilitated the development of precision strategies for imported COVID-19 cases. Facing the emerging COVID viral variants and the uneven distribution of vaccine worldwide, imported pre-symptomatic COVID-19 cases play a pivotal role in border control strategies. A stochastic disease process and computer simulation experiments with Bayesian underpinning was therefore developed to model pre-symptomatic disease progression during incubation period on which we were based to provide precision strategies for containing the resultant epidemic caused by imported COVID-19 cases. We then applied the proposed model to data on 1051 imported COVID-19 cases among inbound passengers to Taiwan between March 2020 and April 2021. The overall daily rate (per 100,000) of pre-symptomatic COVID-19 cases was estimated as 106 (95% credible interval (CrI): 95-117) in March-June 2020, fell to 37 (95% CrI: 28-47) in July-September 2020 (p < 0.0001), resurged to 141 (95% CrI: 118-164) in October-December 2020 (p < 0.0001), and declined to 90 (95% CrI: 73-108) in January-April 2021 (p = 0.0004). Given the median dwelling time, over 82% cases would progress from pre-symptomatic to symptomatic phase in 5-day quarantine. The time required for quarantine given two real-time polymerase chain reaction (RT-PCR) tests depends on the risk of departing countries, testing and quarantine strategies, and whether the passengers have vaccine jabs. Our proposed four-compartment stochastic process and computer simulation experiments design underpinning Bayesian MCMC algorithm facilitated the development of precision strategies for imported COVID-19 cases.Facing the emerging COVID viral variants and the uneven distribution of vaccine worldwide, imported pre-symptomatic COVID-19 cases play a pivotal role in border control strategies. A stochastic disease process and computer simulation experiments with Bayesian underpinning was therefore developed to model pre-symptomatic disease progression during incubation period on which we were based to provide precision strategies for containing the resultant epidemic caused by imported COVID-19 cases. We then applied the proposed model to data on 1051 imported COVID-19 cases among inbound passengers to Taiwan between March 2020 and April 2021. The overall daily rate (per 100,000) of pre-symptomatic COVID-19 cases was estimated as 106 (95% credible interval (CrI): 95-117) in March-June 2020, fell to 37 (95% CrI: 28-47) in July-September 2020 (p < 0.0001), resurged to 141 (95% CrI: 118-164) in October-December 2020 (p < 0.0001), and declined to 90 (95% CrI: 73-108) in January-April 2021 (p = 0.0004). Given the median dwelling time, over 82% cases would progress from pre-symptomatic to symptomatic phase in 5-day quarantine. The time required for quarantine given two real-time polymerase chain reaction (RT-PCR) tests depends on the risk of departing countries, testing and quarantine strategies, and whether the passengers have vaccine jabs. Our proposed four-compartment stochastic process and computer simulation experiments design underpinning Bayesian MCMC algorithm facilitated the development of precision strategies for imported COVID-19 cases. |
| ArticleNumber | 6053 |
| Author | Hsu, Chen-Yang Jen, Grace Hsiao-Hsuan Yen, Amy Ming-Fang Chen, Sam Li-Sheng Chen, Tony Hsiu-Hsi |
| Author_xml | – sequence: 1 givenname: Grace Hsiao-Hsuan surname: Jen fullname: Jen, Grace Hsiao-Hsuan organization: School of Oral Hygiene, College of Oral Medicine, Taipei Medical University – sequence: 2 givenname: Amy Ming-Fang surname: Yen fullname: Yen, Amy Ming-Fang organization: School of Oral Hygiene, College of Oral Medicine, Taipei Medical University – sequence: 3 givenname: Chen-Yang surname: Hsu fullname: Hsu, Chen-Yang organization: Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Department of Emergency, Dachung Hospital – sequence: 4 givenname: Sam Li-Sheng surname: Chen fullname: Chen, Sam Li-Sheng organization: School of Oral Hygiene, College of Oral Medicine, Taipei Medical University – sequence: 5 givenname: Tony Hsiu-Hsi orcidid: 0000-0002-5799-6705 surname: Chen fullname: Chen, Tony Hsiu-Hsi email: chenlin@ntu.edu.tw organization: Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35411061$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9Uk1v3CAQtapUTZrmD_RQIfXSQ9zyYTBcKkXbr5Ui5ZL2ijAetkQ2bMDOKn-iv7nsbpomOYQLTzPvvRmGeV0dhBigqt4S_JFgJj_lhnAla0xpjZUUrN68qI4obnhNGaUHD_BhdZLzFS6HU9UQ9ao6ZLwhBAtyVP05Q-sEdb4d11MczeQt8sHOXUExoDH2MCAX05Zkfd7G8pTMBCsPGUWHsk0AwYfVKbqeTTJh8gFOkQk98jkOe5vOZOhRAX5cxzQVvLj4tfxSE4VsSeVSEl0avzHhTfXSmSHDyd19XP389vVy8aM-v_i-XJyd15Y3eKpb0eJWcSvA9H3b0qYDR01rnXCgKOmkk0w23AgFjvTMNIp1qhGmoVwahxk7rpZ73z6aK71OfjTpVkfj9S4Q00qbVIYxgFYtkZwQpzrLip4q13UAwARXuAXVFa_Pe6_13I3QWwhlQsMj08eZ4H_rVbzRUilJBC0GH-4MUryeIU969NnCMJgAcc6aikZxKaRQhfr-CfUqzimUUe1YlPC2lYX17mFH9638-_ZCoHuCTTHnBO6eQrDerpfer5cu66V366U3RSSfiKyfdh9cXuWH56VsL82lTlhB-t_2M6q_gFTmEA |
| CitedBy_id | crossref_primary_10_3389_fpubh_2023_1101986 crossref_primary_10_1016_j_puhip_2024_100525 crossref_primary_10_1007_s00477_023_02590_2 crossref_primary_10_30699_ijmm_17_2_243 crossref_primary_10_2196_44349 |
| Cites_doi | 10.1101/2022.01.08.22268954v4 10.1016/j.jfma.2021.05.022 10.1111/j.0006-341X.2000.00167.x 10.1007/s10549-009-0701-x 10.3389/fpubh.2020.587374 10.1093/jtm/taaa141 10.1016/j.jfma.2020.03.007 10.3201/eid1002.030748 10.1371/journal.pmed.1003346 10.1136/bmj.n2342 10.1016/j.ijid.2021.01.017 10.1016/j.socscimed.2018.04.033 10.1093/infdis/jiab337 10.1038/s41598-021-94055-1 10.1002/jmv.26326 10.1126/science.abf9569 10.1002/bimj.201000107 10.7326/M20-1495 10.1007/s13246-021-01079-y 10.1001/jama.2020.8259 10.1080/01621459.1985.10478195 10.1016/j.jfma.2021.05.008 10.1126/science.abb6936 10.1016/S2468-2667(21)00188-2 10.1002/sim.4780141404 10.3201/eid1103.040420 10.1080/22221751.2020.1745095 10.1016/S0140-6736(20)32661-1 10.1038/s41591-020-0869-5 10.1126/science.abl6251 10.1002/sim.8437 10.1177/0049475520945446 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2022 2022. The Author(s). The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s) 2022 – notice: 2022. The Author(s). – notice: The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7X7 7XB 88A 88E 88I 8FE 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI CCPQU COVID DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M2P M7P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI Q9U 7X8 5PM DOA |
| DOI | 10.1038/s41598-022-09863-w |
| DatabaseName | Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) Science Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Journals ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Coronavirus Research Database ProQuest Central Korea Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences ProQuest Health & Medical Collection Medical Database Science Database Biological Science Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Biology Journals (Alumni Edition) ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition Coronavirus Research Database ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | Publicly Available Content Database MEDLINE CrossRef MEDLINE - Academic |
| 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: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 2045-2322 |
| EndPage | 11 |
| ExternalDocumentID | oai_doaj_org_article_9718511f9bc342529fbbeee365907e9b PMC8998162 35411061 10_1038_s41598_022_09863_w |
| Genre | Research Support, Non-U.S. Gov't Journal Article |
| GeographicLocations | Taiwan |
| GeographicLocations_xml | – name: Taiwan |
| GrantInformation_xml | – fundername: Ministry of Science and Technology, Taiwan grantid: MOST 110-2811-M-038-003 funderid: http://dx.doi.org/10.13039/501100004663 – fundername: ; grantid: MOST 110-2811-M-038-003 |
| GroupedDBID | 0R~ 3V. 4.4 53G 5VS 7X7 88A 88E 88I 8FE 8FH 8FI 8FJ AAFWJ AAJSJ AAKDD ABDBF ABUWG ACGFS ACSMW ACUHS ADBBV ADRAZ AENEX AEUYN AFKRA AJTQC ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS AZQEC BAWUL BBNVY BCNDV BENPR BHPHI BPHCQ BVXVI C6C CCPQU DIK DWQXO EBD EBLON EBS ESX FYUFA GNUQQ GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE KQ8 LK8 M0L M1P M2P M48 M7P M~E NAO OK1 PIMPY PQQKQ PROAC PSQYO RNT RNTTT RPM SNYQT UKHRP AASML AAYXX AFFHD AFPKN CITATION PHGZM PHGZT PJZUB PPXIY PQGLB CGR CUY CVF ECM EIF NPM 7XB 8FK COVID K9. PKEHL PQEST PQUKI Q9U 7X8 PUEGO 5PM |
| ID | FETCH-LOGICAL-c540t-7670795c6eadd7724bef2a7cf6fe921b8f83845a69ef1d3a493b946a4258af033 |
| IEDL.DBID | M7P |
| ISICitedReferencesCount | 4 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000781187500023&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2045-2322 |
| IngestDate | Fri Oct 03 12:51:30 EDT 2025 Tue Nov 04 01:46:37 EST 2025 Fri Sep 05 07:31:04 EDT 2025 Tue Oct 07 07:45:33 EDT 2025 Mon Jul 21 05:46:14 EDT 2025 Sat Nov 29 06:25:48 EST 2025 Tue Nov 18 21:52:24 EST 2025 Fri Feb 21 02:36:57 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | 2022. The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c540t-7670795c6eadd7724bef2a7cf6fe921b8f83845a69ef1d3a493b946a4258af033 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0002-5799-6705 |
| OpenAccessLink | https://www.proquest.com/docview/2649215778?pq-origsite=%requestingapplication% |
| PMID | 35411061 |
| PQID | 2649215778 |
| PQPubID | 2041939 |
| PageCount | 11 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_9718511f9bc342529fbbeee365907e9b pubmedcentral_primary_oai_pubmedcentral_nih_gov_8998162 proquest_miscellaneous_2649586869 proquest_journals_2649215778 pubmed_primary_35411061 crossref_primary_10_1038_s41598_022_09863_w crossref_citationtrail_10_1038_s41598_022_09863_w springer_journals_10_1038_s41598_022_09863_w |
| PublicationCentury | 2000 |
| PublicationDate | 2022-04-11 |
| PublicationDateYYYYMMDD | 2022-04-11 |
| PublicationDate_xml | – month: 04 year: 2022 text: 2022-04-11 day: 11 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | Scientific reports |
| PublicationTitleAbbrev | Sci Rep |
| PublicationTitleAlternate | Sci Rep |
| PublicationYear | 2022 |
| Publisher | Nature Publishing Group UK Nature Publishing Group Nature Portfolio |
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing Group – name: Nature Portfolio |
| References | OyungerelBEstimating the extent of asymptomatic COVID-19 and its potential for community transmission: Systematic review and meta-analysisJAMMI20205223234 HeJGuoYMaoRZhangJProportion of asymptomatic coronavirus disease 2019: A systematic review and meta-analysisJ. Med. Virol.2021938208301:CAS:528:DC%2BB3cXhsFOltrbJ10.1002/jmv.26326 ChenCThe epidemiological and radiographical characteristics of asymptomatic infections with the novel coronavirus (COVID-19): A systematic review and meta-analysisInt. J. Infect. Dis.20211044584641:CAS:528:DC%2BB3MXjslWltrk%3D10.1016/j.ijid.2021.01.017 NabelKGStructural basis for continued antibody evasion by the SARS-CoV-2 receptor binding domainScience2022375l625110.1126/science.abl6251 ChenCLReview of epidemic, containment strategies, clinical management, and economic evaluation of COVID-19 pandemicJ. Formos. Med. Assoc.2021120S6S181:CAS:528:DC%2BB3MXhtlegtr7L10.1016/j.jfma.2021.05.022 SchorkNJRandomized clinical trials and personalized medicine: A commentary on deaton and cartwrightSoc. Sci. Med.2018210717310.1016/j.socscimed.2018.04.033 Ministry of Transportation and Communications, Taiwan. https://www.motc.gov.tw/en/index.jsp [accessed March 31, 2021]. DuffySWChenHHTabarLDayNEEstimation of mean sojourn time in breast cancer screening using a Markov chain model of both entry and exit from the preclinical detectable phaseStat. Med.199514153115431:STN:280:DyaK28%2FgtVynsQ%3D%3D10.1002/sim.4780141404 SmithRLLongitudinal assessment of diagnostic test performance over the course of acute SARS-CoV-2 infectionJ. Infect. Dis.20212249769821:CAS:528:DC%2BB3MXitFCntLfM10.1093/infdis/jiab337 WHO. COVID-19 situation reports. 2020. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports [accessed May 31, 2021] Buitrago-GarciaDOccurrence and transmission potential of asymptomatic and presymptomatic SARSCoV-2 infections: a living systematic review and meta-analysisPLoS Med.202017e10033461:CAS:528:DC%2BB3cXitVCgurzK10.1371/journal.pmed.1003346 Taiwan Centers for Disease Control. https://www.cdc.gov.tw/En [accessed March 31, 2021]. YenAMFChenHHModeling the overdetection of screen-identified cancers in population-based cancer screening with the Coxian phase-type Markov processStat. Med.202039660673406775710.1002/sim.8437 KuMSContinental transmission of emerging COVID-19 on the 38° North latitudeJ. Formos. Med. Assoc.2021120S19S251:CAS:528:DC%2BB3MXhtlegtrrP10.1016/j.jfma.2021.05.008 ShahriariradRSarkariBCOVID-19: clinical or laboratory diagnosis? A matter of debateTrop. Doct.20215113113210.1177/0049475520945446 European Centre for Disease Prevention and Control. Assessment of the further spread and potential impact of the SARS-CoV-2 Omicron variant of concern in the EU/EEA, 19th update - 27 January 2022. ECDC: Stockholm; 2022. DickensBLStrategies at points of entry to reduce importation risk of COVID-19 cases and reopen travelJ. Travel Med.20202714110.1093/jtm/taaa141 CauchemezSKiemCTManaging COVID-19 importation risks in a heterogeneous worldLancet Public Health20216e626e62710.1016/S2468-2667(21)00188-2 HeXTemporal dynamics in viral shedding and transmissibility of COVID-19Nat. Med.2020266726751:CAS:528:DC%2BB3cXntFOltbw%3D10.1038/s41591-020-0869-5 VoyseyMSafety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UKLancet2021397991111:CAS:528:DC%2BB3cXisFCgt77I10.1016/S0140-6736(20)32661-1 GaoWLvJPangYLiLMRole of asymptomatic and pre-symptomatic infections in covid-19 pandemicBr. Med. J.2021375234210.1136/bmj.n2342 LoeffelholzMJTangYWLaboratory diagnosis of emerging human coronavirus infections—the state of the artEmerg. Microbes. Infect.202097477561:CAS:528:DC%2BB3cXovVWmtb0%3D10.1080/22221751.2020.1745095 Kaydos-DanielsSCBody temperature monitoring and SARS fever hotline, TaiwanEmerg. Infect. Dis.20041037337610.3201/eid1002.030748 EbertMAGebskiVBaldockCIn the future simulations will replace clinical trialsPhys. Eng. Sci. Med.202144997100110.1007/s13246-021-01079-y RasmussenALSaskiaVPSARS-CoV-2 transmission without symptomsScience2021371653510.1126/science.abf9569 WuJCEstimation of natural history parameters of breast cancer based on non-randomized organized screening data: Subsidiary analysis of effects of inter-screening interval, sensitivity, and attendance rate on reduction of advanced cancerBreast Cancer Res. Treat.201012255356610.1007/s10549-009-0701-x SyangtanGAsymptomatic SARS-CoV-2 carriers: a systematic review and meta-analysisFront. Public Health2021858737410.3389/fpubh.2020.587374 KalbfleischJDLawlessJFThe analysis of panel data under a Markov assumptionJ. Am. Stat. Assoc.19858086387181958510.1080/01621459.1985.10478195 ChenTHHEstimation of sojourn time in chronic disease screening without data on interval casesBiometrics2000561671721:STN:280:DC%2BD3c3ks1ahsA%3D%3D10.1111/j.0006-341X.2000.00167.x National Immigration Agency, Ministry of the Interior, Taiwan. https://www.immigration.gov.tw/5475/ [accessed March 31, 2021]. Schrom, J. et al. Direct comparison of SARS Co-V-2 nasal RT-PCR and rapid antigen test (BinaxNOW (TM)) at a community testing site during an Omicron Surge. Preprint at https://www.medrxiv.org/content/https://doi.org/10.1101/2022.01.08.22268954v4 (2022) U.S. Food & Drug Administration. https://www.fda.gov/medical-devices/coronavirus-covid-19-and-medical-devices/sars-cov-2-viral-mutations-impact-covid-19-tests. SteynNLustigAHendySCBinnyRNPlankMJEffect of vaccination, border testing, and quarantine requirements on the risk of COVID-19 in New Zealand: A modelling studyInfect. Dis. Model.2022718419834977439 WuGHMA stochastic model for survival of early prostate cancer with adjustments for leadtime, length bias, and over-detectionBiom. J.2012542044286897810.1002/bimj.201000107 ShuPYFever screening at airports and imported dengueEmerg. Infect. Dis.20051146046210.3201/eid1103.040420 ChengHYLiSYYangCHInitial rapid and proactive response for the COVID-19 outbreak—Taiwan's experienceJ. Formos. Med. Assoc.20201197717731:CAS:528:DC%2BB3cXpvVGjtrc%3D10.1016/j.jfma.2020.03.007 FerrettiLQuantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracingScience2020368693610.1126/science.abb6936 SethuramanNJeremiahSSRyoAInterpreting diagnostic tests for SARS-CoV-2J. Am. Med. Associ.2020323224922511:CAS:528:DC%2BB3cXhtFOntr%2FJ10.1001/jama.2020.8259 KucirkaLMLauerSALaeyendeckerOBoonDLesslerJVariation in false-negative rate of reverse transcriptase polymerase chain reaction–based SARS-CoV-2 tests by time since exposureAnn. Intern. Med.202017326226710.7326/M20-1495 FredianiJKMultidisciplinary assessment of the Abbott BinaxNOW SARS-CoV-2 point-of-care antigen test in the context of emerging viral variants and self-administrationSci. Rep.202111146041:CAS:528:DC%2BB3MXhs1ClsLzL10.1038/s41598-021-94055-12021NatSR..1114604F GHM Wu (9863_CR35) 2012; 54 J He (9863_CR8) 2021; 93 MS Ku (9863_CR27) 2021; 120 B Oyungerel (9863_CR6) 2020; 5 BL Dickens (9863_CR20) 2020; 27 9863_CR28 9863_CR29 RL Smith (9863_CR38) 2021; 224 CL Chen (9863_CR26) 2021; 120 SC Kaydos-Daniels (9863_CR23) 2004; 10 MA Ebert (9863_CR12) 2021; 44 KG Nabel (9863_CR15) 2022; 375 PY Shu (9863_CR24) 2005; 11 M Voysey (9863_CR40) 2021; 397 C Chen (9863_CR9) 2021; 104 AL Rasmussen (9863_CR11) 2021; 371 W Gao (9863_CR7) 2021; 375 JC Wu (9863_CR36) 2010; 122 9863_CR1 S Cauchemez (9863_CR2) 2021; 6 JK Frediani (9863_CR17) 2021; 11 HY Cheng (9863_CR25) 2020; 119 9863_CR14 9863_CR18 L Ferretti (9863_CR4) 2020; 368 9863_CR19 THH Chen (9863_CR31) 2000; 56 R Shahriarirad (9863_CR22) 2021; 51 MJ Loeffelholz (9863_CR21) 2020; 9 AMF Yen (9863_CR37) 2020; 39 SW Duffy (9863_CR32) 1995; 14 LM Kucirka (9863_CR39) 2020; 173 N Sethuraman (9863_CR34) 2020; 323 X He (9863_CR16) 2020; 26 JD Kalbfleisch (9863_CR33) 1985; 80 G Syangtan (9863_CR10) 2021; 8 D Buitrago-Garcia (9863_CR5) 2020; 17 N Steyn (9863_CR3) 2022; 7 NJ Schork (9863_CR13) 2018; 210 9863_CR30 |
| References_xml | – reference: WuJCEstimation of natural history parameters of breast cancer based on non-randomized organized screening data: Subsidiary analysis of effects of inter-screening interval, sensitivity, and attendance rate on reduction of advanced cancerBreast Cancer Res. Treat.201012255356610.1007/s10549-009-0701-x – reference: KuMSContinental transmission of emerging COVID-19 on the 38° North latitudeJ. Formos. Med. Assoc.2021120S19S251:CAS:528:DC%2BB3MXhtlegtrrP10.1016/j.jfma.2021.05.008 – reference: SmithRLLongitudinal assessment of diagnostic test performance over the course of acute SARS-CoV-2 infectionJ. Infect. Dis.20212249769821:CAS:528:DC%2BB3MXitFCntLfM10.1093/infdis/jiab337 – reference: National Immigration Agency, Ministry of the Interior, Taiwan. https://www.immigration.gov.tw/5475/ [accessed March 31, 2021]. – reference: Schrom, J. et al. Direct comparison of SARS Co-V-2 nasal RT-PCR and rapid antigen test (BinaxNOW (TM)) at a community testing site during an Omicron Surge. Preprint at https://www.medrxiv.org/content/https://doi.org/10.1101/2022.01.08.22268954v4 (2022) – reference: YenAMFChenHHModeling the overdetection of screen-identified cancers in population-based cancer screening with the Coxian phase-type Markov processStat. Med.202039660673406775710.1002/sim.8437 – reference: HeXTemporal dynamics in viral shedding and transmissibility of COVID-19Nat. Med.2020266726751:CAS:528:DC%2BB3cXntFOltbw%3D10.1038/s41591-020-0869-5 – reference: ChenCLReview of epidemic, containment strategies, clinical management, and economic evaluation of COVID-19 pandemicJ. Formos. Med. Assoc.2021120S6S181:CAS:528:DC%2BB3MXhtlegtr7L10.1016/j.jfma.2021.05.022 – reference: European Centre for Disease Prevention and Control. Assessment of the further spread and potential impact of the SARS-CoV-2 Omicron variant of concern in the EU/EEA, 19th update - 27 January 2022. ECDC: Stockholm; 2022. – reference: Kaydos-DanielsSCBody temperature monitoring and SARS fever hotline, TaiwanEmerg. Infect. Dis.20041037337610.3201/eid1002.030748 – reference: SyangtanGAsymptomatic SARS-CoV-2 carriers: a systematic review and meta-analysisFront. Public Health2021858737410.3389/fpubh.2020.587374 – reference: ChengHYLiSYYangCHInitial rapid and proactive response for the COVID-19 outbreak—Taiwan's experienceJ. Formos. Med. Assoc.20201197717731:CAS:528:DC%2BB3cXpvVGjtrc%3D10.1016/j.jfma.2020.03.007 – reference: SethuramanNJeremiahSSRyoAInterpreting diagnostic tests for SARS-CoV-2J. Am. Med. Associ.2020323224922511:CAS:528:DC%2BB3cXhtFOntr%2FJ10.1001/jama.2020.8259 – reference: KucirkaLMLauerSALaeyendeckerOBoonDLesslerJVariation in false-negative rate of reverse transcriptase polymerase chain reaction–based SARS-CoV-2 tests by time since exposureAnn. Intern. Med.202017326226710.7326/M20-1495 – reference: SteynNLustigAHendySCBinnyRNPlankMJEffect of vaccination, border testing, and quarantine requirements on the risk of COVID-19 in New Zealand: A modelling studyInfect. Dis. Model.2022718419834977439 – reference: HeJGuoYMaoRZhangJProportion of asymptomatic coronavirus disease 2019: A systematic review and meta-analysisJ. Med. Virol.2021938208301:CAS:528:DC%2BB3cXhsFOltrbJ10.1002/jmv.26326 – reference: ShahriariradRSarkariBCOVID-19: clinical or laboratory diagnosis? A matter of debateTrop. Doct.20215113113210.1177/0049475520945446 – reference: WHO. COVID-19 situation reports. 2020. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports [accessed May 31, 2021] – reference: Ministry of Transportation and Communications, Taiwan. https://www.motc.gov.tw/en/index.jsp [accessed March 31, 2021]. – reference: CauchemezSKiemCTManaging COVID-19 importation risks in a heterogeneous worldLancet Public Health20216e626e62710.1016/S2468-2667(21)00188-2 – reference: ChenTHHEstimation of sojourn time in chronic disease screening without data on interval casesBiometrics2000561671721:STN:280:DC%2BD3c3ks1ahsA%3D%3D10.1111/j.0006-341X.2000.00167.x – reference: VoyseyMSafety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UKLancet2021397991111:CAS:528:DC%2BB3cXisFCgt77I10.1016/S0140-6736(20)32661-1 – reference: Taiwan Centers for Disease Control. https://www.cdc.gov.tw/En [accessed March 31, 2021]. – reference: NabelKGStructural basis for continued antibody evasion by the SARS-CoV-2 receptor binding domainScience2022375l625110.1126/science.abl6251 – reference: FerrettiLQuantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracingScience2020368693610.1126/science.abb6936 – reference: OyungerelBEstimating the extent of asymptomatic COVID-19 and its potential for community transmission: Systematic review and meta-analysisJAMMI20205223234 – reference: EbertMAGebskiVBaldockCIn the future simulations will replace clinical trialsPhys. Eng. Sci. Med.202144997100110.1007/s13246-021-01079-y – reference: GaoWLvJPangYLiLMRole of asymptomatic and pre-symptomatic infections in covid-19 pandemicBr. Med. J.2021375234210.1136/bmj.n2342 – reference: WuGHMA stochastic model for survival of early prostate cancer with adjustments for leadtime, length bias, and over-detectionBiom. J.2012542044286897810.1002/bimj.201000107 – reference: SchorkNJRandomized clinical trials and personalized medicine: A commentary on deaton and cartwrightSoc. Sci. Med.2018210717310.1016/j.socscimed.2018.04.033 – reference: RasmussenALSaskiaVPSARS-CoV-2 transmission without symptomsScience2021371653510.1126/science.abf9569 – reference: DickensBLStrategies at points of entry to reduce importation risk of COVID-19 cases and reopen travelJ. Travel Med.20202714110.1093/jtm/taaa141 – reference: DuffySWChenHHTabarLDayNEEstimation of mean sojourn time in breast cancer screening using a Markov chain model of both entry and exit from the preclinical detectable phaseStat. Med.199514153115431:STN:280:DyaK28%2FgtVynsQ%3D%3D10.1002/sim.4780141404 – reference: FredianiJKMultidisciplinary assessment of the Abbott BinaxNOW SARS-CoV-2 point-of-care antigen test in the context of emerging viral variants and self-administrationSci. Rep.202111146041:CAS:528:DC%2BB3MXhs1ClsLzL10.1038/s41598-021-94055-12021NatSR..1114604F – reference: U.S. Food & Drug Administration. https://www.fda.gov/medical-devices/coronavirus-covid-19-and-medical-devices/sars-cov-2-viral-mutations-impact-covid-19-tests. – reference: ShuPYFever screening at airports and imported dengueEmerg. Infect. Dis.20051146046210.3201/eid1103.040420 – reference: Buitrago-GarciaDOccurrence and transmission potential of asymptomatic and presymptomatic SARSCoV-2 infections: a living systematic review and meta-analysisPLoS Med.202017e10033461:CAS:528:DC%2BB3cXitVCgurzK10.1371/journal.pmed.1003346 – reference: ChenCThe epidemiological and radiographical characteristics of asymptomatic infections with the novel coronavirus (COVID-19): A systematic review and meta-analysisInt. J. Infect. Dis.20211044584641:CAS:528:DC%2BB3MXjslWltrk%3D10.1016/j.ijid.2021.01.017 – reference: LoeffelholzMJTangYWLaboratory diagnosis of emerging human coronavirus infections—the state of the artEmerg. Microbes. Infect.202097477561:CAS:528:DC%2BB3cXovVWmtb0%3D10.1080/22221751.2020.1745095 – reference: KalbfleischJDLawlessJFThe analysis of panel data under a Markov assumptionJ. Am. Stat. Assoc.19858086387181958510.1080/01621459.1985.10478195 – ident: 9863_CR14 – ident: 9863_CR18 doi: 10.1101/2022.01.08.22268954v4 – volume: 120 start-page: S6 year: 2021 ident: 9863_CR26 publication-title: J. Formos. Med. Assoc. doi: 10.1016/j.jfma.2021.05.022 – volume: 56 start-page: 167 year: 2000 ident: 9863_CR31 publication-title: Biometrics doi: 10.1111/j.0006-341X.2000.00167.x – volume: 122 start-page: 553 year: 2010 ident: 9863_CR36 publication-title: Breast Cancer Res. Treat. doi: 10.1007/s10549-009-0701-x – volume: 8 start-page: 587374 year: 2021 ident: 9863_CR10 publication-title: Front. Public Health doi: 10.3389/fpubh.2020.587374 – volume: 27 start-page: 141 year: 2020 ident: 9863_CR20 publication-title: J. Travel Med. doi: 10.1093/jtm/taaa141 – volume: 119 start-page: 771 year: 2020 ident: 9863_CR25 publication-title: J. Formos. Med. Assoc. doi: 10.1016/j.jfma.2020.03.007 – ident: 9863_CR29 – volume: 10 start-page: 373 year: 2004 ident: 9863_CR23 publication-title: Emerg. Infect. Dis. doi: 10.3201/eid1002.030748 – volume: 17 start-page: e1003346 year: 2020 ident: 9863_CR5 publication-title: PLoS Med. doi: 10.1371/journal.pmed.1003346 – volume: 5 start-page: 223 year: 2020 ident: 9863_CR6 publication-title: JAMMI – volume: 375 start-page: 2342 year: 2021 ident: 9863_CR7 publication-title: Br. Med. J. doi: 10.1136/bmj.n2342 – volume: 104 start-page: 458 year: 2021 ident: 9863_CR9 publication-title: Int. J. Infect. Dis. doi: 10.1016/j.ijid.2021.01.017 – volume: 210 start-page: 71 year: 2018 ident: 9863_CR13 publication-title: Soc. Sci. Med. doi: 10.1016/j.socscimed.2018.04.033 – volume: 224 start-page: 976 year: 2021 ident: 9863_CR38 publication-title: J. Infect. Dis. doi: 10.1093/infdis/jiab337 – volume: 11 start-page: 14604 year: 2021 ident: 9863_CR17 publication-title: Sci. Rep. doi: 10.1038/s41598-021-94055-1 – volume: 93 start-page: 820 year: 2021 ident: 9863_CR8 publication-title: J. Med. Virol. doi: 10.1002/jmv.26326 – volume: 371 start-page: 6535 year: 2021 ident: 9863_CR11 publication-title: Science doi: 10.1126/science.abf9569 – ident: 9863_CR30 – volume: 54 start-page: 20 year: 2012 ident: 9863_CR35 publication-title: Biom. J. doi: 10.1002/bimj.201000107 – volume: 173 start-page: 262 year: 2020 ident: 9863_CR39 publication-title: Ann. Intern. Med. doi: 10.7326/M20-1495 – volume: 44 start-page: 997 year: 2021 ident: 9863_CR12 publication-title: Phys. Eng. Sci. Med. doi: 10.1007/s13246-021-01079-y – ident: 9863_CR19 – volume: 323 start-page: 2249 year: 2020 ident: 9863_CR34 publication-title: J. Am. Med. Associ. doi: 10.1001/jama.2020.8259 – volume: 80 start-page: 863 year: 1985 ident: 9863_CR33 publication-title: J. Am. Stat. Assoc. doi: 10.1080/01621459.1985.10478195 – volume: 120 start-page: S19 year: 2021 ident: 9863_CR27 publication-title: J. Formos. Med. Assoc. doi: 10.1016/j.jfma.2021.05.008 – volume: 368 start-page: 6936 year: 2020 ident: 9863_CR4 publication-title: Science doi: 10.1126/science.abb6936 – volume: 6 start-page: e626 year: 2021 ident: 9863_CR2 publication-title: Lancet Public Health doi: 10.1016/S2468-2667(21)00188-2 – ident: 9863_CR28 – volume: 14 start-page: 1531 year: 1995 ident: 9863_CR32 publication-title: Stat. Med. doi: 10.1002/sim.4780141404 – volume: 11 start-page: 460 year: 2005 ident: 9863_CR24 publication-title: Emerg. Infect. Dis. doi: 10.3201/eid1103.040420 – volume: 9 start-page: 747 year: 2020 ident: 9863_CR21 publication-title: Emerg. Microbes. Infect. doi: 10.1080/22221751.2020.1745095 – volume: 397 start-page: 99 year: 2021 ident: 9863_CR40 publication-title: Lancet doi: 10.1016/S0140-6736(20)32661-1 – volume: 26 start-page: 672 year: 2020 ident: 9863_CR16 publication-title: Nat. Med. doi: 10.1038/s41591-020-0869-5 – volume: 375 start-page: l6251 year: 2022 ident: 9863_CR15 publication-title: Science doi: 10.1126/science.abl6251 – volume: 39 start-page: 660 year: 2020 ident: 9863_CR37 publication-title: Stat. Med. doi: 10.1002/sim.8437 – volume: 51 start-page: 131 year: 2021 ident: 9863_CR22 publication-title: Trop. Doct. doi: 10.1177/0049475520945446 – volume: 7 start-page: 184 year: 2022 ident: 9863_CR3 publication-title: Infect. Dis. Model. – ident: 9863_CR1 |
| SSID | ssj0000529419 |
| Score | 2.3898585 |
| Snippet | Facing the emerging COVID viral variants and the uneven distribution of vaccine worldwide, imported pre-symptomatic COVID-19 cases play a pivotal role in... Abstract Facing the emerging COVID viral variants and the uneven distribution of vaccine worldwide, imported pre-symptomatic COVID-19 cases play a pivotal role... |
| SourceID | doaj pubmedcentral proquest pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 6053 |
| SubjectTerms | 639/705 692/699 Bayes Theorem Bayesian analysis Border stations Computer Simulation Coronaviruses COVID-19 COVID-19 - diagnosis COVID-19 - epidemiology COVID-19 - prevention & control COVID-19 vaccines Humanities and Social Sciences Humans multidisciplinary Polymerase chain reaction Quarantine SARS-CoV-2 Science Science (multidisciplinary) Stochastic processes Taiwan - epidemiology Vaccines |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3LbtQwFLVQBRIbxJtAQUZix0RNYsfxXZZCBZvCoqDuLD9FJJppmxlG_Qm-mWs7M3R4btiNxp6J5Xvse67snEPIi7ZxwvJKl5q7UHLgVSm5cyWYqnPB-Ghwm8wmuqMjeXICH65YfcU7YVkeOE_cHuDmiaQggLEM8dVAMMZ7z0SLZZ0HE3dfZD1Xiqms6t0Ar2F6S6Zicm_ETBXfJsPaqwIpWLnaykRJsP93LPPXy5I_nZimRHR4m9yaGCTdzyO_Q6754S65kT0lL--Rb_s03uwYL0_PFvOkx0r7wS5NigBNxjcUiWrslN116LhYy0XQeaC4jWBpi0-e0XOEj45OEn5G9eBojzjNfxNzn6P4oT9NwuiOHrz_9O51WQO12DTiI-mx7ld6uE8-Hr45PnhbTqYLpUXytig7ETXzWisQYg6pNzc-NLqzQQQPTW1kkEzyVgvwoXZMc2AGuNAYG6lDxdgDsjPMB_-IUMx92iFjAwfALTCQEpqmsliQM6xTTEHqdQCUnRTJozHGF5VOxplUOWgKg6ZS0NSqIC83vznLehx_7f0qxnXTM2pppy8QYWpCmPoXwgqyu0aFmhb4qJBH4my0XScL8nzTjEsznrfowc-XuU8rhRRQkIcZRJuRsJbXsRovSLcFr62hbrcM_eck_x0r5Fo0BZmtgfhjWH-eisf_YyqekJtNWkG8rOtdsrO4WPqn5Lr9uujHi2dpCX4HA_g0Uw priority: 102 providerName: Directory of Open Access Journals |
| Title | A pre-symptomatic incubation model for precision strategies of screening, quarantine, and isolation based on imported COVID-19 cases in Taiwan |
| URI | https://link.springer.com/article/10.1038/s41598-022-09863-w https://www.ncbi.nlm.nih.gov/pubmed/35411061 https://www.proquest.com/docview/2649215778 https://www.proquest.com/docview/2649586869 https://pubmed.ncbi.nlm.nih.gov/PMC8998162 https://doaj.org/article/9718511f9bc342529fbbeee365907e9b |
| Volume | 12 |
| WOSCitedRecordID | wos000781187500023&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: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: DOA dateStart: 20110101 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: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: M~E dateStart: 20110101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: M7P dateStart: 20110101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: 7X7 dateStart: 20110101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: BENPR dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: PIMPY dateStart: 20110101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVPQU databaseName: Science Database customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: M2P dateStart: 20110101 isFulltext: true titleUrlDefault: https://search.proquest.com/sciencejournals providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1bb9MwFLbYBhIv3AeBURmJN2otiZ3EfkLb2MQeViI0UHmKHF8gEku6JqXan-A3c-ykncplL7xEUe20ds_xufg434fQ6yTWqWKhJJJpS5hgIeFMayLKMNO2NI7g1pNNZJMJn05FPmy4tcOxypVN9IZaN8rtke-D4xbgnrKMv51dEsca5aqrA4XGFtpxKAnUH93L13ssrorFIjG8KxNSvt-Cv3LvlEEGFgqeUrLc8Ecetv9vseafRyZ_q5t6d3Ry_38n8gDdGwJRfNBrzkN0y9SP0J2emvLqMfp5gN0BkfbqYtY1HtYVV7ValF6Q2PPnYIh3XaeepAe33Qp1AjcWgzWCDBmGPsaXoIXSEVKYMZa1xhWoe_81zoVqDDfVhcdX1_jow-fTdyQSWEFTCz-Jz2W1lPUT9Onk-PzoPRm4G4iCGLAjWeqg9xKVgqZqiOBZaWwsM2VTa2D6JbeccpbIVBgbaSqZoKVgqQQTwqUNKd1F23VTm2cIgwuVGgI_oYVgSlDBuYjjUEFeTyHdKQMUrSRYqAHY3PFrfC98gZ3yopd6AVIvvNSLZYDerJ-Z9bAeN_Y-dIqx7ukguf0HzfxrMazwQoCXh-jVilJRmEUsbFkaY2iaiDAzAoa5t9KHYrATbXGtDAF6tW6GFe7KNrI2zaLvk_CUpyJAT3stXI-EJixySX2Asg393BjqZktdffMo4i7RjtI4QOOVJl8P699_xfObZ_EC3Y394mIkivbQdjdfmJfotvrRVe18hLayaeavfIR2Do8n-ceR3wSB61mcj_zqhZb89Cz_8gte_kmr |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwELaqAoIL70eggJHgRKPm4TieA0KlpeqqZelhQb2lju1AJJpsN7us9k_wU_iNjJ1kq-XRWw_cVmvvxnG-GX8Zj-cj5GUSaa5YIH3JdOEzYIEvmNY-5EGqi9xYgVsnNpEOh-L4GI7WyM_-LIxNq-x9onPUulY2Rr6FCzfg8pSm4u34zLeqUXZ3tZfQaGFxYBZzfGVr3gx28fm-iqK996Odfb9TFfAVspOpn3JbFC5RHOdQI7dkuSkimaqCFwavkItCxIIlkoMpQh1LBnEOjEsEt5BFYAOg6PKvII2IhEsVPFrGdOyuGQuhO5sTxGKrwfXRnmHDN74ABI_9-cr652QC_sZt_0zR_G2f1i1_e7f-t4m7TW52RJtut5Zxh6yZ6i651kpvLu6RH9vUJsA0i9PxtHZla2lZqVnugEqdPhBFPm87tSJEtJn2VTVoXVD0tsbYmNImPUMrk1Zww2xSWWlaojm3f2Mpgqb4oTx19eM13fn4ebDrh0AVNjV4STqS5VxW98mnS5mMB2S9qivziFCkCFIjsQUNwBTEIAREUaA4ILtIk9wjYY-YTHWF261-yLfMJRDEImtRliHKMoeybO6R18vfjNuyJRf2fmeBuOxpS467L-rJl6zzYBkgi0F2XkCuYryLCIo8N8bEPIEgNYDD3Ojxl3V-sMnOweeRF8tm9GB2W0pWpp61fRLBBQePPGxRvxxJnLDQBi08kq7Yw8pQV1uq8qurkm4DCSGPPLLZW875sP49FY8vvovn5Pr-6MNhdjgYHjwhNyJn2MwPww2yPp3MzFNyVX2fls3kmfMMlJxctkX9AsaPn58 |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Jj9MwFLZGwyIu7EtgACPBiUbN4jj2AaFhSkU1qPQwoLkFxwtEYpJO01L1T_CD-HU8O8uoLHObA7eqdhvH-d7zl-fn9yH0PIkUlSQQviDK-ISTwGdEKZ_nQapMrq3ArRObSKdTdnzMZzvoZ3cWxqZVdj7ROWpVSRsjH8LCzWF5SlM2NG1axGw0fj0_9a2ClN1p7eQ0Gogc6s0aXt_qV5MRPOsXUTR-e3Twzm8VBnwJTGXpp9QWiEskhflUwDNJrk0kUmmo0XC1nBkWM5IIyrUJVSwIj3NOqACgM2ECGwwF938ptUXLXdrgrI_v2B00EvL2nE4Qs2ENa6U9zwZvfwFnNPbXW2uhkwz4G8_9M13ztz1btxSOb_zPk3gTXW8JON5vLOYW2tHlbXSlkeTc3EE_9rFNjKk3J_Nl5crZ4qKUq9wBGDvdIAw833ZqxIlwveyqbeDKYPDCWttY0wCfgvUJK8ShB1iUChdg5s3fWOqgMHwoTlxdeYUPPnyajPyQYwlNNVwSH4liLcq76OOFTMY9tFtWpX6AMFAHoYDwcsU5kTzmjPEoCiTlwDrSJPdQ2KEnk21Bd6sr8i1ziQUxyxrEZYC4zCEuW3voZf-beVPO5Nzebywo-562FLn7olp8yVrPlnFgN8DaDc9lDHcRcZPnWuuYJjxINYdh7nVYzFr_WGdnQPTQs74ZPJvdrhKlrlZNn4RRRrmH7jcW0I8kTkhogxkeSrdsY2uo2y1l8dVVT7cBhpBGHhp0VnQ2rH9PxcPz7-IpugqGlL2fTA8foWuRs3Hih-Ee2l0uVvoxuiy_L4t68cQ5CYw-X7RB_QKpZ6hc |
| 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=A+pre-symptomatic+incubation+model+for+precision+strategies+of+screening%2C+quarantine%2C+and+isolation+based+on+imported+COVID-19+cases+in+Taiwan&rft.jtitle=Scientific+reports&rft.au=Hsiao-Hsuan%2C+Jen+Grace&rft.au=Yen%2C+Amy+Ming-Fang&rft.au=Chen-Yang%2C+Hsu&rft.au=Chen+Sam+Li-Sheng&rft.date=2022-04-11&rft.pub=Nature+Publishing+Group&rft.eissn=2045-2322&rft.volume=12&rft.issue=1&rft_id=info:doi/10.1038%2Fs41598-022-09863-w&rft.externalDBID=HAS_PDF_LINK |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon |