Meteorological and Social Conditions Contribute to Infectious Diarrhea in China

Overview

Journal Sci Rep

Specialty Science

Date 2021 Dec 4

PMID 34862400

Citations 3

Authors

Xiang Yang

Weifeng Xiong

Tianyao Huang

Juan He

Affiliations

Soon will be listed here.

Abstract

Infectious diarrhea in China showed a significant pattern. Many researchers have tried to reveal the drivers, yet usually only meteorological factors were taken into consideration. Furthermore, the diarrheal data they analyzed were incomplete and the algorithms they exploited were inefficient of adapting realistic relationships. Here, we investigate the impacts of meteorological and social factors on the number of infectious diarrhea cases in China. A machine learning algorithm called the Random Forest is utilized. Our results demonstrate that nearly half of infectious diarrhea occurred among children under 5 years old. Generally speaking, increasing temperature or relative humidity leads to increased cases of infectious diarrhea in China. Nevertheless, people from different age groups or different regions own different sensitivities to meteorological factors. The weight of feces that are harmfully treated could be a possible reason for infectious diarrhea of the elderly as well as children under 5 years old. These findings indicate that infectious diarrhea prevention for children under 5 years old remains a primary task in China. Personalized prevention countermeasures ought to be provided to different age groups and different regions. It is essential to bring the weight of feces that are harmfully treated to the forefront when considering infectious diarrhea prevention.

Citing Articles

Predicting the incidence of infectious diarrhea with symptom surveillance data using a stacking-based ensembled model.

Wang P, Zhang W, Wang H, Shi C, Li Z, Wang D BMC Infect Dis. 2024; 24(1):265.

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Epidemic Characteristics, Spatiotemporal Pattern, and Risk Factors of Other Infectious Diarrhea in Fujian Province From 2005 to 2021: Retrospective Analysis.

Lu Y, Zhu H, Hu Z, He F, Chen G JMIR Public Health Surveill. 2023; 9:e45870.

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Meteorological Factors Affecting Infectious Diarrhea in Different Climate Zones of China.

Yang M, Chen C, Zhang X, Du Y, Jiang D, Yan D Int J Environ Res Public Health. 2022; 19(18).

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