Effects of daily mean temperature and other meteorological variables on bacillary dysentery in Beijing-Tianjin-Hebei region, China

Background: Although previous studies have shown that meteorological factors such as temperature are related to the incidence of bacillary dysentery (BD), researches about the non-linear and interaction effect among meteorological variables remain limited. The objective of this study was to analyze...

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Main Authors: Qinxue Chang, Keyun Wang, Honglu Zhang, Changping Li, Yong Wang, Huaiqi Jing, Shanshan Li, Yuming Guo, Zhuang Cui, Wenyi Zhang
Format: Article
Language:English
Published: Komiyama Printing Co. Ltd 2022-03-01
Series:Environmental Health and Preventive Medicine
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/ehpm/27/0/27_21-00005/_html/-char/en
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author Qinxue Chang
Keyun Wang
Honglu Zhang
Changping Li
Yong Wang
Huaiqi Jing
Shanshan Li
Yuming Guo
Zhuang Cui
Wenyi Zhang
author_facet Qinxue Chang
Keyun Wang
Honglu Zhang
Changping Li
Yong Wang
Huaiqi Jing
Shanshan Li
Yuming Guo
Zhuang Cui
Wenyi Zhang
author_sort Qinxue Chang
collection DOAJ
description Background: Although previous studies have shown that meteorological factors such as temperature are related to the incidence of bacillary dysentery (BD), researches about the non-linear and interaction effect among meteorological variables remain limited. The objective of this study was to analyze the effects of temperature and other meteorological variables on BD in Beijing-Tianjin-Hebei region, which is a high-risk area for BD distribution. Methods: Our study was based on the daily-scale data of BD cases and meteorological variables from 2014 to 2019, using generalized additive model (GAM) to explore the relationship between meteorological variables and BD cases and distributed lag non-linear model (DLNM) to analyze the lag and cumulative effects. The interaction effects and stratified analysis were developed by the GAM. Results: A total of 147,001 cases were reported from 2014 to 2019. The relationship between temperature and BD was approximately liner above 0 °C, but the turning point of total temperature effect was 10 °C. Results of DLNM indicated that the effect of high temperature was significant on lag 5d and lag 6d, and the lag effect showed that each 5 °C rise caused a 3% [Relative risk (RR) = 1.03, 95% Confidence interval (CI): 1.02–1.05] increase in BD cases. The cumulative BD cases delayed by 7 days increased by 31% for each 5 °C rise in temperature above 10 °C (RR = 1.31, 95% CI: 1.30–1.33). The interaction effects and stratified analysis manifested that the incidence of BD was highest in hot and humid climates. Conclusions: This study suggests that temperature can significantly affect the incidence of BD, and its effect can be enhanced by humidity and precipitation, which means that the hot and humid environment positively increases the incidence of BD.
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spelling doaj.art-4e946d1831444194bac422bef568de382022-12-22T04:04:46ZengKomiyama Printing Co. LtdEnvironmental Health and Preventive Medicine1342-078X1347-47152022-03-0127131310.1265/ehpm.21-00005ehpmEffects of daily mean temperature and other meteorological variables on bacillary dysentery in Beijing-Tianjin-Hebei region, ChinaQinxue Chang0Keyun Wang1Honglu Zhang2Changping Li3Yong Wang4Huaiqi Jing5Shanshan Li6Yuming Guo7Zhuang Cui8Wenyi Zhang9Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical UniversityDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical UniversityDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical UniversityDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical UniversityChinese PLA Center for Disease Control and PreventionState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and PreventionDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash UniversityDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash UniversityDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical UniversityChinese PLA Center for Disease Control and PreventionBackground: Although previous studies have shown that meteorological factors such as temperature are related to the incidence of bacillary dysentery (BD), researches about the non-linear and interaction effect among meteorological variables remain limited. The objective of this study was to analyze the effects of temperature and other meteorological variables on BD in Beijing-Tianjin-Hebei region, which is a high-risk area for BD distribution. Methods: Our study was based on the daily-scale data of BD cases and meteorological variables from 2014 to 2019, using generalized additive model (GAM) to explore the relationship between meteorological variables and BD cases and distributed lag non-linear model (DLNM) to analyze the lag and cumulative effects. The interaction effects and stratified analysis were developed by the GAM. Results: A total of 147,001 cases were reported from 2014 to 2019. The relationship between temperature and BD was approximately liner above 0 °C, but the turning point of total temperature effect was 10 °C. Results of DLNM indicated that the effect of high temperature was significant on lag 5d and lag 6d, and the lag effect showed that each 5 °C rise caused a 3% [Relative risk (RR) = 1.03, 95% Confidence interval (CI): 1.02–1.05] increase in BD cases. The cumulative BD cases delayed by 7 days increased by 31% for each 5 °C rise in temperature above 10 °C (RR = 1.31, 95% CI: 1.30–1.33). The interaction effects and stratified analysis manifested that the incidence of BD was highest in hot and humid climates. Conclusions: This study suggests that temperature can significantly affect the incidence of BD, and its effect can be enhanced by humidity and precipitation, which means that the hot and humid environment positively increases the incidence of BD.https://www.jstage.jst.go.jp/article/ehpm/27/0/27_21-00005/_html/-char/endistributed lag non-linear modelgeneralized additive modelnonlinear and interaction effectsbacillary dysentery
spellingShingle Qinxue Chang
Keyun Wang
Honglu Zhang
Changping Li
Yong Wang
Huaiqi Jing
Shanshan Li
Yuming Guo
Zhuang Cui
Wenyi Zhang
Effects of daily mean temperature and other meteorological variables on bacillary dysentery in Beijing-Tianjin-Hebei region, China
Environmental Health and Preventive Medicine
distributed lag non-linear model
generalized additive model
nonlinear and interaction effects
bacillary dysentery
title Effects of daily mean temperature and other meteorological variables on bacillary dysentery in Beijing-Tianjin-Hebei region, China
title_full Effects of daily mean temperature and other meteorological variables on bacillary dysentery in Beijing-Tianjin-Hebei region, China
title_fullStr Effects of daily mean temperature and other meteorological variables on bacillary dysentery in Beijing-Tianjin-Hebei region, China
title_full_unstemmed Effects of daily mean temperature and other meteorological variables on bacillary dysentery in Beijing-Tianjin-Hebei region, China
title_short Effects of daily mean temperature and other meteorological variables on bacillary dysentery in Beijing-Tianjin-Hebei region, China
title_sort effects of daily mean temperature and other meteorological variables on bacillary dysentery in beijing tianjin hebei region china
topic distributed lag non-linear model
generalized additive model
nonlinear and interaction effects
bacillary dysentery
url https://www.jstage.jst.go.jp/article/ehpm/27/0/27_21-00005/_html/-char/en
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