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Hysteresis effects of different levels of storm flooding on susceptible enteric infectious diseases in a central city of China

BACKGROUND: Recently, attention has focused on the impact of global climate change on infectious diseases. Storm flooding is an extreme weather phenomenon that not only impacts the health of the environment but also worsens the spread of pathogens. This poses a significant challenge to public health...

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Autores principales: Luo, Piao-yi, Chen, Meng-xiang, Kuang, Wen-tao, Ni, Han, Zhao, Jin, Dai, Hao-yun, Ren, Xiang, Yi, Shang-hui, Hong, Xiu-qin, Zha, Wen-ting, Lv, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537077/
https://www.ncbi.nlm.nih.gov/pubmed/37759167
http://dx.doi.org/10.1186/s12889-023-16754-w
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author Luo, Piao-yi
Chen, Meng-xiang
Kuang, Wen-tao
Ni, Han
Zhao, Jin
Dai, Hao-yun
Ren, Xiang
Yi, Shang-hui
Hong, Xiu-qin
Zha, Wen-ting
Lv, Yuan
author_facet Luo, Piao-yi
Chen, Meng-xiang
Kuang, Wen-tao
Ni, Han
Zhao, Jin
Dai, Hao-yun
Ren, Xiang
Yi, Shang-hui
Hong, Xiu-qin
Zha, Wen-ting
Lv, Yuan
author_sort Luo, Piao-yi
collection PubMed
description BACKGROUND: Recently, attention has focused on the impact of global climate change on infectious diseases. Storm flooding is an extreme weather phenomenon that not only impacts the health of the environment but also worsens the spread of pathogens. This poses a significant challenge to public health security. However, there is still a lack of research on how different levels of storm flooding affect susceptible enteric infectious diseases over time. METHODS: Data on enteric infectious diseases, storm flooding events, and meteorology were collected for Changsha, Hunan Province, between 2016 and 2020. The Wilcoxon Rank Sum Test was used to identify the enteric infectious diseases that are susceptible to storm flooding. Then, the lagged effects of different levels of storm flooding on susceptible enteric infectious diseases were analyzed using a distributed lag nonlinear model. RESULTS: There were eleven storm flooding events in Changsha from 2016 to 2020, concentrated in June and July. 37,882 cases of enteric infectious diseases were reported. During non-flooding days, the daily incidence rates of typhoid/paratyphoid and bacillary dysentery were 0.3/100,000 and 0.1/100,000, respectively. During flooding days, the corresponding rates increased to 2.0/100,000 and 0.8/100,000, respectively. The incidence rates of both diseases showed statistically significant differences between non-flooding and flooding days. Correlation analysis shows that the best lags for typhoid/paratyphoid and bacillary dysentery relative to storm flooding events may be 1 and 3 days. The results of the distributed lag nonlinear model showed that typhoid/paratyphoid had the highest cumulative RR values of 2.86 (95% CI: 1.71–4.76) and 8.16 (95% CI: 2.93–22.67) after 4 days of general flooding and heavy flooding, respectively; and bacillary dysentery had the highest cumulative RR values of 1.82 (95% CI: 1.40–2.35) and 3.31 (95% CI: 1.97–5.55) after 5 days of general flooding and heavy flooding, respectively. CONCLUSIONS: Typhoid/paratyphoid and bacillary dysentery are sensitive enteric infectious diseases related to storm flooding in Changsha. There is a lagging effect of storm flooding on the onset of typhoid/paratyphoid and bacillary dysentery, with the best lagging periods being days 1 and 3, respectively. The cumulative risk of typhoid/paratyphoid and bacillary dysentery was highest at 4/5 days lag, respectively. The higher of storm flooding, the higher the risk of disease, which suggests that the authorities should take appropriate preventive and control measures before and after storm flooding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16754-w.
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spelling pubmed-105370772023-09-29 Hysteresis effects of different levels of storm flooding on susceptible enteric infectious diseases in a central city of China Luo, Piao-yi Chen, Meng-xiang Kuang, Wen-tao Ni, Han Zhao, Jin Dai, Hao-yun Ren, Xiang Yi, Shang-hui Hong, Xiu-qin Zha, Wen-ting Lv, Yuan BMC Public Health Research BACKGROUND: Recently, attention has focused on the impact of global climate change on infectious diseases. Storm flooding is an extreme weather phenomenon that not only impacts the health of the environment but also worsens the spread of pathogens. This poses a significant challenge to public health security. However, there is still a lack of research on how different levels of storm flooding affect susceptible enteric infectious diseases over time. METHODS: Data on enteric infectious diseases, storm flooding events, and meteorology were collected for Changsha, Hunan Province, between 2016 and 2020. The Wilcoxon Rank Sum Test was used to identify the enteric infectious diseases that are susceptible to storm flooding. Then, the lagged effects of different levels of storm flooding on susceptible enteric infectious diseases were analyzed using a distributed lag nonlinear model. RESULTS: There were eleven storm flooding events in Changsha from 2016 to 2020, concentrated in June and July. 37,882 cases of enteric infectious diseases were reported. During non-flooding days, the daily incidence rates of typhoid/paratyphoid and bacillary dysentery were 0.3/100,000 and 0.1/100,000, respectively. During flooding days, the corresponding rates increased to 2.0/100,000 and 0.8/100,000, respectively. The incidence rates of both diseases showed statistically significant differences between non-flooding and flooding days. Correlation analysis shows that the best lags for typhoid/paratyphoid and bacillary dysentery relative to storm flooding events may be 1 and 3 days. The results of the distributed lag nonlinear model showed that typhoid/paratyphoid had the highest cumulative RR values of 2.86 (95% CI: 1.71–4.76) and 8.16 (95% CI: 2.93–22.67) after 4 days of general flooding and heavy flooding, respectively; and bacillary dysentery had the highest cumulative RR values of 1.82 (95% CI: 1.40–2.35) and 3.31 (95% CI: 1.97–5.55) after 5 days of general flooding and heavy flooding, respectively. CONCLUSIONS: Typhoid/paratyphoid and bacillary dysentery are sensitive enteric infectious diseases related to storm flooding in Changsha. There is a lagging effect of storm flooding on the onset of typhoid/paratyphoid and bacillary dysentery, with the best lagging periods being days 1 and 3, respectively. The cumulative risk of typhoid/paratyphoid and bacillary dysentery was highest at 4/5 days lag, respectively. The higher of storm flooding, the higher the risk of disease, which suggests that the authorities should take appropriate preventive and control measures before and after storm flooding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16754-w. BioMed Central 2023-09-27 /pmc/articles/PMC10537077/ /pubmed/37759167 http://dx.doi.org/10.1186/s12889-023-16754-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Luo, Piao-yi
Chen, Meng-xiang
Kuang, Wen-tao
Ni, Han
Zhao, Jin
Dai, Hao-yun
Ren, Xiang
Yi, Shang-hui
Hong, Xiu-qin
Zha, Wen-ting
Lv, Yuan
Hysteresis effects of different levels of storm flooding on susceptible enteric infectious diseases in a central city of China
title Hysteresis effects of different levels of storm flooding on susceptible enteric infectious diseases in a central city of China
title_full Hysteresis effects of different levels of storm flooding on susceptible enteric infectious diseases in a central city of China
title_fullStr Hysteresis effects of different levels of storm flooding on susceptible enteric infectious diseases in a central city of China
title_full_unstemmed Hysteresis effects of different levels of storm flooding on susceptible enteric infectious diseases in a central city of China
title_short Hysteresis effects of different levels of storm flooding on susceptible enteric infectious diseases in a central city of China
title_sort hysteresis effects of different levels of storm flooding on susceptible enteric infectious diseases in a central city of china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537077/
https://www.ncbi.nlm.nih.gov/pubmed/37759167
http://dx.doi.org/10.1186/s12889-023-16754-w
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