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A Scoping Review and Thematic Analysis of the Effects of Tropical Cyclones on Diarrheal Diseases
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  • Szu Yu Lin,
  • Paul Lester Chua,
  • Lei Yuan,
  • Nasif Hossain,
  • Jinyu He,
  • Lisa Yamazaki,
  • Lina Madaniyazi,
  • Chris Fook Sheng Ng,
  • Aurelio Tobias,
  • Masahiro Hashizume
Szu Yu Lin
The University of Tokyo

Corresponding Author:[email protected]

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Paul Lester Chua
The University of Tokyo
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Lei Yuan
The University of Tokyo
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Nasif Hossain
The University of Tokyo
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Jinyu He
Center for Climate Change Adaptation, National Institute for Environmental Studies
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Lisa Yamazaki
Center Hospital of the National Center for Global Health and Medicine
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Lina Madaniyazi
School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki
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Chris Fook Sheng Ng
The University of Tokyo
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Aurelio Tobias
Unknown
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Masahiro Hashizume
The University of Tokyo
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Abstract

Tropical cyclones bring health risks and can trigger outbreaks of diarrheal diseases in affected populations. There are several reviews that mention the relationship between tropical cyclones and diarrheal diseases. However, there is no dedicated review of the current evidence and extent of research on the association between tropical cyclones and diarrheal diseases. We performed a scoping review to thoroughly examine the available literature. We also thematically analyzed the transmission pathways explained in the literature. A total of 96 studies were included. Twenty-three studies quantitatively measured the tropical cyclone--diarrhea associations, with half reporting positive associations. We found that the studies defined and measured tropical cyclone exposure differently and mostly analyzed a single event. The study designs employed were mostly pre-post comparisons that had several limitations affecting internal validity. These differences also prevent the quantitative pooling of evidence. A standardized approach to measuring the association between tropical cyclones and diarrheal diseases can be devised by suggesting the most appropriate exposure definition and modeling.
24 Apr 2024Submitted to ESS Open Archive
25 Apr 2024Published in ESS Open Archive