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Effects of rainfall on human leptospirosis in Thailand: evidence of multi-province study using distributed lag non-linear model

Leptospirosis is a zoonotic bacterial disease that remains an important public health problem, especially in tropical developing countries. Many previous studies in Thailand have revealed the outbreak of human leptospirosis after heavy rainfall, but research determining its quantitative risks associ...

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Autor principal: Phosri, Arthit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167037/
https://www.ncbi.nlm.nih.gov/pubmed/35692716
http://dx.doi.org/10.1007/s00477-022-02250-x
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author Phosri, Arthit
author_facet Phosri, Arthit
author_sort Phosri, Arthit
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description Leptospirosis is a zoonotic bacterial disease that remains an important public health problem, especially in tropical developing countries. Many previous studies in Thailand have revealed the outbreak of human leptospirosis after heavy rainfall, but research determining its quantitative risks associated with rainfall, especially at the national level, remains limited. This study aims to examine the association between rainfall and human leptospirosis across 60 provinces of Thailand. A quasi-Poisson regression framework combined with the distributed lag non-linear model was used to estimate province-specific association between rainfall and human leptospirosis, adjusting for potential confounders. Province-specific estimates were then pooled to derive regional and national estimates using random-effect meta-analysis. The highest risk of leptospirosis associated with rainfall at national level was observed at the same month (lag 0). Using 0 cm/month of rainfall as a reference, the relative risks of leptospirosis associated with heavy (90th percentile), very heavy (95th percentile), and extremely heavy (99th percentile) rainfall at the national level were 1.0994 (95% CI 0.9747, 1.2401), 1.1428 (95% CI 1.0154, 1.2862), and 1.1848 (95% CI 1.0494, 1.3378), respectively. The highest risk of human leptospirosis associated with rainfall was observed in the northern and north-eastern regions. Specifically, the relative risks of leptospirosis associated with extremely heavy rainfall in northern and north-eastern regions were 1.2362 (95% CI 0.9110, 1.6775) and 1.2046 (95% CI 0.9728, 1.4918), respectively. Increasing rainfall was associated with increased risks of leptospirosis, especially in the northern and northeastern regions of Thailand. This finding could be used for precautionary warnings against heavy rainfall. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00477-022-02250-x.
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spelling pubmed-91670372022-06-07 Effects of rainfall on human leptospirosis in Thailand: evidence of multi-province study using distributed lag non-linear model Phosri, Arthit Stoch Environ Res Risk Assess Original Paper Leptospirosis is a zoonotic bacterial disease that remains an important public health problem, especially in tropical developing countries. Many previous studies in Thailand have revealed the outbreak of human leptospirosis after heavy rainfall, but research determining its quantitative risks associated with rainfall, especially at the national level, remains limited. This study aims to examine the association between rainfall and human leptospirosis across 60 provinces of Thailand. A quasi-Poisson regression framework combined with the distributed lag non-linear model was used to estimate province-specific association between rainfall and human leptospirosis, adjusting for potential confounders. Province-specific estimates were then pooled to derive regional and national estimates using random-effect meta-analysis. The highest risk of leptospirosis associated with rainfall at national level was observed at the same month (lag 0). Using 0 cm/month of rainfall as a reference, the relative risks of leptospirosis associated with heavy (90th percentile), very heavy (95th percentile), and extremely heavy (99th percentile) rainfall at the national level were 1.0994 (95% CI 0.9747, 1.2401), 1.1428 (95% CI 1.0154, 1.2862), and 1.1848 (95% CI 1.0494, 1.3378), respectively. The highest risk of human leptospirosis associated with rainfall was observed in the northern and north-eastern regions. Specifically, the relative risks of leptospirosis associated with extremely heavy rainfall in northern and north-eastern regions were 1.2362 (95% CI 0.9110, 1.6775) and 1.2046 (95% CI 0.9728, 1.4918), respectively. Increasing rainfall was associated with increased risks of leptospirosis, especially in the northern and northeastern regions of Thailand. This finding could be used for precautionary warnings against heavy rainfall. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00477-022-02250-x. Springer Berlin Heidelberg 2022-06-04 2022 /pmc/articles/PMC9167037/ /pubmed/35692716 http://dx.doi.org/10.1007/s00477-022-02250-x Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Phosri, Arthit
Effects of rainfall on human leptospirosis in Thailand: evidence of multi-province study using distributed lag non-linear model
title Effects of rainfall on human leptospirosis in Thailand: evidence of multi-province study using distributed lag non-linear model
title_full Effects of rainfall on human leptospirosis in Thailand: evidence of multi-province study using distributed lag non-linear model
title_fullStr Effects of rainfall on human leptospirosis in Thailand: evidence of multi-province study using distributed lag non-linear model
title_full_unstemmed Effects of rainfall on human leptospirosis in Thailand: evidence of multi-province study using distributed lag non-linear model
title_short Effects of rainfall on human leptospirosis in Thailand: evidence of multi-province study using distributed lag non-linear model
title_sort effects of rainfall on human leptospirosis in thailand: evidence of multi-province study using distributed lag non-linear model
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167037/
https://www.ncbi.nlm.nih.gov/pubmed/35692716
http://dx.doi.org/10.1007/s00477-022-02250-x
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