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Meteorological Factors Affecting Infectious Diarrhea in Different Climate Zones of China

Meteorological factors and the increase in extreme weather events are closely related to the incidence rate of infectious diarrhea. However, few studies have explored whether the impact of the same meteorological factors on the incidence rate of infectious diarrhea in different climate regions has c...

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Autores principales: Yang, Mengya, Chen, Can, Zhang, Xiaobao, Du, Yuxia, Jiang, Daixi, Yan, Danying, Liu, Xiaoxiao, Ding, Cheng, Lan, Lei, Lei, Hao, Yang, Shigui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517640/
https://www.ncbi.nlm.nih.gov/pubmed/36141780
http://dx.doi.org/10.3390/ijerph191811511
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author Yang, Mengya
Chen, Can
Zhang, Xiaobao
Du, Yuxia
Jiang, Daixi
Yan, Danying
Liu, Xiaoxiao
Ding, Cheng
Lan, Lei
Lei, Hao
Yang, Shigui
author_facet Yang, Mengya
Chen, Can
Zhang, Xiaobao
Du, Yuxia
Jiang, Daixi
Yan, Danying
Liu, Xiaoxiao
Ding, Cheng
Lan, Lei
Lei, Hao
Yang, Shigui
author_sort Yang, Mengya
collection PubMed
description Meteorological factors and the increase in extreme weather events are closely related to the incidence rate of infectious diarrhea. However, few studies have explored whether the impact of the same meteorological factors on the incidence rate of infectious diarrhea in different climate regions has changed and quantified these changes. In this study, the time series fixed-effect Poisson regression model guided by climate was used to quantify the relationships between the incidence rate of various types of infectious diarrhea and meteorological factors in different climate regions of China from 2004 to 2018, with a lag of 0–2 months. In addition, six social factors, including per capita Gross Domestic Product (GDP), population density, number of doctors per 1000 people, proportion of urbanized population, proportion of children aged 0–14 years old, and proportion of elderly over 65 years old, were included in the model for confounding control. Additionally, the intercept of each province in each model was analyzed by a meta-analysis. Four climate regions were considered in this study: tropical monsoon areas, subtropical monsoon areas, temperate areas and alpine plateau areas. The results indicate that the influence of meteorological factors and extreme weather in different climate regions on diverse infectious diarrhea types is distinct. In general, temperature was positively correlated with all infectious diarrhea cases (0.2 ≤ r ≤ 0.6, p < 0.05). After extreme rainfall, the incidence rate of dysentery in alpine plateau area in one month would be reduced by 18.7% (95% confidence interval (CI): −27.8–−9.6%). Two months after the period of extreme sunshine duration happened, the incidence of dysentery in the alpine plateau area would increase by 21.9% (95% CI: 15.4–28.4%) in that month, and the incidence rate of typhoid and paratyphoid in the temperate region would increase by 17.2% (95% CI: 15.5–18.9%) in that month. The meta-analysis showed that there is no consistency between different provinces in the same climate region. Our study indicated that meteorological factors and extreme weather in different climate areas had different effects on various types of infectious diarrhea, particularly extreme rainfall and extreme sunshine duration, which will help the government develop disease-specific and location-specific interventions, especially after the occurrence of extreme weather.
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spelling pubmed-95176402022-09-29 Meteorological Factors Affecting Infectious Diarrhea in Different Climate Zones of China Yang, Mengya Chen, Can Zhang, Xiaobao Du, Yuxia Jiang, Daixi Yan, Danying Liu, Xiaoxiao Ding, Cheng Lan, Lei Lei, Hao Yang, Shigui Int J Environ Res Public Health Article Meteorological factors and the increase in extreme weather events are closely related to the incidence rate of infectious diarrhea. However, few studies have explored whether the impact of the same meteorological factors on the incidence rate of infectious diarrhea in different climate regions has changed and quantified these changes. In this study, the time series fixed-effect Poisson regression model guided by climate was used to quantify the relationships between the incidence rate of various types of infectious diarrhea and meteorological factors in different climate regions of China from 2004 to 2018, with a lag of 0–2 months. In addition, six social factors, including per capita Gross Domestic Product (GDP), population density, number of doctors per 1000 people, proportion of urbanized population, proportion of children aged 0–14 years old, and proportion of elderly over 65 years old, were included in the model for confounding control. Additionally, the intercept of each province in each model was analyzed by a meta-analysis. Four climate regions were considered in this study: tropical monsoon areas, subtropical monsoon areas, temperate areas and alpine plateau areas. The results indicate that the influence of meteorological factors and extreme weather in different climate regions on diverse infectious diarrhea types is distinct. In general, temperature was positively correlated with all infectious diarrhea cases (0.2 ≤ r ≤ 0.6, p < 0.05). After extreme rainfall, the incidence rate of dysentery in alpine plateau area in one month would be reduced by 18.7% (95% confidence interval (CI): −27.8–−9.6%). Two months after the period of extreme sunshine duration happened, the incidence of dysentery in the alpine plateau area would increase by 21.9% (95% CI: 15.4–28.4%) in that month, and the incidence rate of typhoid and paratyphoid in the temperate region would increase by 17.2% (95% CI: 15.5–18.9%) in that month. The meta-analysis showed that there is no consistency between different provinces in the same climate region. Our study indicated that meteorological factors and extreme weather in different climate areas had different effects on various types of infectious diarrhea, particularly extreme rainfall and extreme sunshine duration, which will help the government develop disease-specific and location-specific interventions, especially after the occurrence of extreme weather. MDPI 2022-09-13 /pmc/articles/PMC9517640/ /pubmed/36141780 http://dx.doi.org/10.3390/ijerph191811511 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Mengya
Chen, Can
Zhang, Xiaobao
Du, Yuxia
Jiang, Daixi
Yan, Danying
Liu, Xiaoxiao
Ding, Cheng
Lan, Lei
Lei, Hao
Yang, Shigui
Meteorological Factors Affecting Infectious Diarrhea in Different Climate Zones of China
title Meteorological Factors Affecting Infectious Diarrhea in Different Climate Zones of China
title_full Meteorological Factors Affecting Infectious Diarrhea in Different Climate Zones of China
title_fullStr Meteorological Factors Affecting Infectious Diarrhea in Different Climate Zones of China
title_full_unstemmed Meteorological Factors Affecting Infectious Diarrhea in Different Climate Zones of China
title_short Meteorological Factors Affecting Infectious Diarrhea in Different Climate Zones of China
title_sort meteorological factors affecting infectious diarrhea in different climate zones of china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517640/
https://www.ncbi.nlm.nih.gov/pubmed/36141780
http://dx.doi.org/10.3390/ijerph191811511
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