Effect of non-stationary climate on infectious gastroenteritis transmission in Japan

Local weather factors are widely considered to influence the transmission of infectious gastroenteritis. Few studies, however, have examined the non-stationary relationships between global climatic factors and transmission of infectious gastroenteritis. We analyzed monthly data for cases of infectio...

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Published in:Scientific reports Vol. 4; no. 1; p. 5157
Main Author: Onozuka, Daisuke
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 03.06.2014
Nature Publishing Group
Subjects:
692/308/174
704/106/694/2739/2807
Adolescent
Adult
Aged
Aged, 80 and over
Bacterial Infections - epidemiology
Bacterial Infections - transmission
Child
Child, Preschool
Climate
Climate change
Climate Change - statistics & numerical data
Climate effects
Computer Simulation
Data processing
Diarrhea
Disease
Disease Outbreaks - statistics & numerical data
El Nino
Epidemics
Female
Gastroenteritis
Gastroenteritis - epidemiology
Global climate
Humanities and Social Sciences
Humans
Humidity
Incidence
Infant
Infant, Newborn
Japan - epidemiology
Male
Middle Aged
Models, Statistical
multidisciplinary
Rain
Risk Assessment
Science
Southern Oscillation
Statistics as Topic
Time series
Warning systems
Young Adult
Japan
ISSN:2045-2322, 2045-2322
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Abstract Local weather factors are widely considered to influence the transmission of infectious gastroenteritis. Few studies, however, have examined the non-stationary relationships between global climatic factors and transmission of infectious gastroenteritis. We analyzed monthly data for cases of infectious gastroenteritis in Fukuoka, Japan from 2000 to 2012 using cross-wavelet coherency analysis to assess the pattern of associations between indices for the Indian Ocean Dipole (IOD) and El Niño Southern Oscillation (ENSO). Infectious gastroenteritis cases were non-stationary and significantly associated with the IOD and ENSO (Multivariate ENSO Index [MEI], Niño 1 + 2, Niño 3, Niño 4 and Niño 3.4) for a period of approximately 1 to 2 years. This association was non-stationary and appeared to have a major influence on the synchrony of infectious gastroenteritis transmission. Our results suggest that non-stationary patterns of association between global climate factors and incidence of infectious gastroenteritis should be considered when developing early warning systems for epidemics of infectious gastroenteritis.
AbstractList Local weather factors are widely considered to influence the transmission of infectious gastroenteritis. Few studies, however, have examined the non-stationary relationships between global climatic factors and transmission of infectious gastroenteritis. We analyzed monthly data for cases of infectious gastroenteritis in Fukuoka, Japan from 2000 to 2012 using cross-wavelet coherency analysis to assess the pattern of associations between indices for the Indian Ocean Dipole (IOD) and El Niño Southern Oscillation (ENSO). Infectious gastroenteritis cases were non-stationary and significantly associated with the IOD and ENSO (Multivariate ENSO Index [MEI], Niño 1 + 2, Niño 3, Niño 4, and Niño 3.4) for a period of approximately 1 to 2 years. This association was non-stationary and appeared to have a major influence on the synchrony of infectious gastroenteritis transmission. Our results suggest that non-stationary patterns of association between global climate factors and incidence of infectious gastroenteritis should be considered when developing early warning systems for epidemics of infectious gastroenteritis.
Local weather factors are widely considered to influence the transmission of infectious gastroenteritis. Few studies, however, have examined the non-stationary relationships between global climatic factors and transmission of infectious gastroenteritis. We analyzed monthly data for cases of infectious gastroenteritis in Fukuoka, Japan from 2000 to 2012 using cross-wavelet coherency analysis to assess the pattern of associations between indices for the Indian Ocean Dipole (IOD) and El Niño Southern Oscillation (ENSO). Infectious gastroenteritis cases were non-stationary and significantly associated with the IOD and ENSO (Multivariate ENSO Index [MEI], Niño 1 + 2, Niño 3, Niño 4, and Niño 3.4) for a period of approximately 1 to 2 years. This association was non-stationary and appeared to have a major influence on the synchrony of infectious gastroenteritis transmission. Our results suggest that non-stationary patterns of association between global climate factors and incidence of infectious gastroenteritis should be considered when developing early warning systems for epidemics of infectious gastroenteritis.Local weather factors are widely considered to influence the transmission of infectious gastroenteritis. Few studies, however, have examined the non-stationary relationships between global climatic factors and transmission of infectious gastroenteritis. We analyzed monthly data for cases of infectious gastroenteritis in Fukuoka, Japan from 2000 to 2012 using cross-wavelet coherency analysis to assess the pattern of associations between indices for the Indian Ocean Dipole (IOD) and El Niño Southern Oscillation (ENSO). Infectious gastroenteritis cases were non-stationary and significantly associated with the IOD and ENSO (Multivariate ENSO Index [MEI], Niño 1 + 2, Niño 3, Niño 4, and Niño 3.4) for a period of approximately 1 to 2 years. This association was non-stationary and appeared to have a major influence on the synchrony of infectious gastroenteritis transmission. Our results suggest that non-stationary patterns of association between global climate factors and incidence of infectious gastroenteritis should be considered when developing early warning systems for epidemics of infectious gastroenteritis.
ArticleNumber 5157
Author Onozuka, Daisuke
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SSID ssj0000529419
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Snippet Local weather factors are widely considered to influence the transmission of infectious gastroenteritis. Few studies, however, have examined the non-stationary...
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StartPage 5157
SubjectTerms 692/308/174
704/106/694/2739/2807
Adolescent
Adult
Aged
Aged, 80 and over
Bacterial Infections - epidemiology
Bacterial Infections - transmission
Child
Child, Preschool
Climate
Climate change
Climate Change - statistics & numerical data
Climate effects
Computer Simulation
Data processing
Diarrhea
Disease
Disease Outbreaks - statistics & numerical data
El Nino
Epidemics
Female
Gastroenteritis
Gastroenteritis - epidemiology
Global climate
Humanities and Social Sciences
Humans
Humidity
Incidence
Infant
Infant, Newborn
Japan - epidemiology
Male
Middle Aged
Models, Statistical
multidisciplinary
Rain
Risk Assessment
Science
Southern Oscillation
Statistics as Topic
Time series
Warning systems
Young Adult
Title Effect of non-stationary climate on infectious gastroenteritis transmission in Japan
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https://www.ncbi.nlm.nih.gov/pubmed/24889802
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https://www.proquest.com/docview/1532479080
https://pubmed.ncbi.nlm.nih.gov/PMC4042128
Volume 4
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