Meteorological and social conditions contribute to infectious diarrhea in China
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 inefficie...
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Nature Portfolio
2021
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oai:doaj.org-article:3e95557f19d44fa0a8887a8c09565dc22021-12-05T12:14:41ZMeteorological and social conditions contribute to infectious diarrhea in China10.1038/s41598-021-00932-02045-2322https://doaj.org/article/3e95557f19d44fa0a8887a8c09565dc22021-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00932-0https://doaj.org/toc/2045-2322Abstract 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.Xiang YangWeifeng XiongTianyao HuangJuan HeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021) |
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Medicine R Science Q Xiang Yang Weifeng Xiong Tianyao Huang Juan He Meteorological and social conditions contribute to infectious diarrhea in China |
description |
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. |
format |
article |
author |
Xiang Yang Weifeng Xiong Tianyao Huang Juan He |
author_facet |
Xiang Yang Weifeng Xiong Tianyao Huang Juan He |
author_sort |
Xiang Yang |
title |
Meteorological and social conditions contribute to infectious diarrhea in China |
title_short |
Meteorological and social conditions contribute to infectious diarrhea in China |
title_full |
Meteorological and social conditions contribute to infectious diarrhea in China |
title_fullStr |
Meteorological and social conditions contribute to infectious diarrhea in China |
title_full_unstemmed |
Meteorological and social conditions contribute to infectious diarrhea in China |
title_sort |
meteorological and social conditions contribute to infectious diarrhea in china |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/3e95557f19d44fa0a8887a8c09565dc2 |
work_keys_str_mv |
AT xiangyang meteorologicalandsocialconditionscontributetoinfectiousdiarrheainchina AT weifengxiong meteorologicalandsocialconditionscontributetoinfectiousdiarrheainchina AT tianyaohuang meteorologicalandsocialconditionscontributetoinfectiousdiarrheainchina AT juanhe meteorologicalandsocialconditionscontributetoinfectiousdiarrheainchina |
_version_ |
1718372128142655488 |