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Impact of precipitation on the prevalence of schistosomiasis mekongi in Lao PDR: Structural equation modelling using Earth observation satellite data

Increasing attention is being given to the effect of climate change on schistosomiasis, but the impact is currently unknown. As the intermediate snail host (Neotricula aperta) of Schistosoma mekongi inhabits the Mekong River, it is thought that environmental factors affecting the area of water will...

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Autores principales: Matsumoto-Takahashi, Emilie Louise Akiko, Kumagai, Takashi, Oyoshi, Kei, Sasaki, Yoshinobu, Mizukami, Yousei, Hongvanthong, Bouasy, Brey, Paul T., Kano, Shigeyuki, Iwagami, Moritoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288094/
https://www.ncbi.nlm.nih.gov/pubmed/37363222
http://dx.doi.org/10.1016/j.onehlt.2023.100563
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author Matsumoto-Takahashi, Emilie Louise Akiko
Kumagai, Takashi
Oyoshi, Kei
Sasaki, Yoshinobu
Mizukami, Yousei
Hongvanthong, Bouasy
Brey, Paul T.
Kano, Shigeyuki
Iwagami, Moritoshi
author_facet Matsumoto-Takahashi, Emilie Louise Akiko
Kumagai, Takashi
Oyoshi, Kei
Sasaki, Yoshinobu
Mizukami, Yousei
Hongvanthong, Bouasy
Brey, Paul T.
Kano, Shigeyuki
Iwagami, Moritoshi
author_sort Matsumoto-Takahashi, Emilie Louise Akiko
collection PubMed
description Increasing attention is being given to the effect of climate change on schistosomiasis, but the impact is currently unknown. As the intermediate snail host (Neotricula aperta) of Schistosoma mekongi inhabits the Mekong River, it is thought that environmental factors affecting the area of water will have an impact on the occurrence of schistosomiasis mekongi. The aim of the present study was to assess the impact of precipitation on the prevalence of human schistosomiasis mekongi using epidemiological data and Earth observation satellite data in Khong district, Champasak province, Lao PDR. Structural equation modelling (SEM) using epidemiological data and Earth observation satellite data was conducted to determine the factors associated with the number of schistosomiasis mekongi patients. As a result, SEM identified 3 significant factors independently associated with schistosomiasis mekongi: (1) a negative association with mass drug administration (MDA); (2) negative association with total precipitation per year; and (3) positive association with precipitation during the dry season. Precisely, regardless of MDA, the increase in total yearly precipitation was suggested to decrease the number of schistosomiasis patients, whereas an increase in precipitation in the dry season increased the number of schistosomiasis patients. This is probably because when total precipitation increases, the water level of the Mekong River rises, thus decreasing the density of infected larvae, cercaria, in the water, and the frequency of humans entering the river would also decrease. In contrast, when precipitation in the dry season is higher, the water level of the Mekong River also rises, which expands the snail habitant, and thus water contact between humans and the snails would also increase. The present study results suggest that increasing precipitation would impact the prevalence of schistosomiasis both positively and negatively, and precipitation should also be considered in the policy to eliminate schistosomiasis mekongi in Lao PDR.
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spelling pubmed-102880942023-06-24 Impact of precipitation on the prevalence of schistosomiasis mekongi in Lao PDR: Structural equation modelling using Earth observation satellite data Matsumoto-Takahashi, Emilie Louise Akiko Kumagai, Takashi Oyoshi, Kei Sasaki, Yoshinobu Mizukami, Yousei Hongvanthong, Bouasy Brey, Paul T. Kano, Shigeyuki Iwagami, Moritoshi One Health Research Paper Increasing attention is being given to the effect of climate change on schistosomiasis, but the impact is currently unknown. As the intermediate snail host (Neotricula aperta) of Schistosoma mekongi inhabits the Mekong River, it is thought that environmental factors affecting the area of water will have an impact on the occurrence of schistosomiasis mekongi. The aim of the present study was to assess the impact of precipitation on the prevalence of human schistosomiasis mekongi using epidemiological data and Earth observation satellite data in Khong district, Champasak province, Lao PDR. Structural equation modelling (SEM) using epidemiological data and Earth observation satellite data was conducted to determine the factors associated with the number of schistosomiasis mekongi patients. As a result, SEM identified 3 significant factors independently associated with schistosomiasis mekongi: (1) a negative association with mass drug administration (MDA); (2) negative association with total precipitation per year; and (3) positive association with precipitation during the dry season. Precisely, regardless of MDA, the increase in total yearly precipitation was suggested to decrease the number of schistosomiasis patients, whereas an increase in precipitation in the dry season increased the number of schistosomiasis patients. This is probably because when total precipitation increases, the water level of the Mekong River rises, thus decreasing the density of infected larvae, cercaria, in the water, and the frequency of humans entering the river would also decrease. In contrast, when precipitation in the dry season is higher, the water level of the Mekong River also rises, which expands the snail habitant, and thus water contact between humans and the snails would also increase. The present study results suggest that increasing precipitation would impact the prevalence of schistosomiasis both positively and negatively, and precipitation should also be considered in the policy to eliminate schistosomiasis mekongi in Lao PDR. Elsevier 2023-05-11 /pmc/articles/PMC10288094/ /pubmed/37363222 http://dx.doi.org/10.1016/j.onehlt.2023.100563 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Paper
Matsumoto-Takahashi, Emilie Louise Akiko
Kumagai, Takashi
Oyoshi, Kei
Sasaki, Yoshinobu
Mizukami, Yousei
Hongvanthong, Bouasy
Brey, Paul T.
Kano, Shigeyuki
Iwagami, Moritoshi
Impact of precipitation on the prevalence of schistosomiasis mekongi in Lao PDR: Structural equation modelling using Earth observation satellite data
title Impact of precipitation on the prevalence of schistosomiasis mekongi in Lao PDR: Structural equation modelling using Earth observation satellite data
title_full Impact of precipitation on the prevalence of schistosomiasis mekongi in Lao PDR: Structural equation modelling using Earth observation satellite data
title_fullStr Impact of precipitation on the prevalence of schistosomiasis mekongi in Lao PDR: Structural equation modelling using Earth observation satellite data
title_full_unstemmed Impact of precipitation on the prevalence of schistosomiasis mekongi in Lao PDR: Structural equation modelling using Earth observation satellite data
title_short Impact of precipitation on the prevalence of schistosomiasis mekongi in Lao PDR: Structural equation modelling using Earth observation satellite data
title_sort impact of precipitation on the prevalence of schistosomiasis mekongi in lao pdr: structural equation modelling using earth observation satellite data
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288094/
https://www.ncbi.nlm.nih.gov/pubmed/37363222
http://dx.doi.org/10.1016/j.onehlt.2023.100563
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