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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-10288094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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