Deforestation inhibits malaria transmission in Lao PDR: a spatial epidemiology using Earth observation satellites.

Anopheles Climate change Deforestation Global warming Land use/land cover Lao PDR Malaria

Journal

Tropical medicine and health
ISSN: 1348-8945
Titre abrégé: Trop Med Health
Pays: Japan
ID NLM: 101215093

Informations de publication

Date de publication:
02 Nov 2023
Historique:
received: 21 09 2023
accepted: 26 10 2023
medline: 2 11 2023
pubmed: 2 11 2023
entrez: 2 11 2023
Statut: epublish

Résumé

The present study aimed to analyze the impact of deforestation on the malaria distribution in the Lao People's Democratic Republic (Lao PDR), with consideration of climate change. Malaria distribution data from 2002 to 2015 were obtained from the Ministry of Health of Lao PDR and each indicator was calculated. Earth observation satellite data (forested area, land surface temperature, and precipitation) were obtained from the Japan Aerospace Exploration Agency (JAXA). Structured equation modeling (SEM) was conducted to clarify the relationship between the malaria incidence and Earth observation satellite data. As a result, SEM identified two factors that were independently associated with the malaria incidence: area and proportion of forest. Specifically, malaria was found to be more prevalent in the southern region, with the malaria incidence increasing as the percentage of forested land increased (both p < 0.01). With global warming steadily progressing, forested areas are expected to play an important role in the incidence of malaria in Lao PDR. This is believed because malaria in Lao PDR is mainly forest malaria transmitted by Anopheles dirus. To accelerate the elimination of malaria in Lao PDR, it is important to identify, prevent, and intervene in places with increased forest coverage (e.g., plantations) and in low-temperature areas adjacent to malaria-endemic areas, where the vegetation is similar to that in malaria-endemic areas.

Sections du résumé

BACKGROUND BACKGROUND
The present study aimed to analyze the impact of deforestation on the malaria distribution in the Lao People's Democratic Republic (Lao PDR), with consideration of climate change.
METHODS METHODS
Malaria distribution data from 2002 to 2015 were obtained from the Ministry of Health of Lao PDR and each indicator was calculated. Earth observation satellite data (forested area, land surface temperature, and precipitation) were obtained from the Japan Aerospace Exploration Agency (JAXA). Structured equation modeling (SEM) was conducted to clarify the relationship between the malaria incidence and Earth observation satellite data.
RESULTS RESULTS
As a result, SEM identified two factors that were independently associated with the malaria incidence: area and proportion of forest. Specifically, malaria was found to be more prevalent in the southern region, with the malaria incidence increasing as the percentage of forested land increased (both p < 0.01). With global warming steadily progressing, forested areas are expected to play an important role in the incidence of malaria in Lao PDR. This is believed because malaria in Lao PDR is mainly forest malaria transmitted by Anopheles dirus.
CONCLUSION CONCLUSIONS
To accelerate the elimination of malaria in Lao PDR, it is important to identify, prevent, and intervene in places with increased forest coverage (e.g., plantations) and in low-temperature areas adjacent to malaria-endemic areas, where the vegetation is similar to that in malaria-endemic areas.

Identifiants

pubmed: 37915065
doi: 10.1186/s41182-023-00554-4
pii: 10.1186/s41182-023-00554-4
pmc: PMC10621094
doi:

Types de publication

Journal Article

Langues

eng

Pagination

60

Subventions

Organisme : Japan Aerospace Exploration Agency
ID : 17RSTK-006235
Organisme : Japan Aerospace Exploration Agency
ID : EO-RA1
Organisme : Japan Aerospace Exploration Agency
ID : EO-RA2
Organisme : Japan Aerospace Exploration Agency
ID : EO-RA3
Organisme : JICA/AMED SATREPS project
ID : 2013
Organisme : JSPS KAKENHI
ID : 23K11587

Informations de copyright

© 2023. The Author(s).

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Auteurs

Emilie Louise Akiko Matsumoto-Takahashi (ELA)

Department of Tropical Medicine and Malaria, Research Institute, National Center for Global Health and Medicine (NCGM), 1-21-1 Toyama, Shinjuku-Ku, Tokyo, 162-8655, Japan.
Graduate School of Public Health, St. Luke's International University, Tokyo, Japan.

Moritoshi Iwagami (M)

Department of Tropical Medicine and Malaria, Research Institute, National Center for Global Health and Medicine (NCGM), 1-21-1 Toyama, Shinjuku-Ku, Tokyo, 162-8655, Japan.
Parasitology Laboratory, Institut Pasteur du Laos (IPL), Ministry of Health, Vientiane, Lao People's Democratic Republic.

Kei Oyoshi (K)

Earth Observation Research Center (EORC), Japan Aerospace Exploration Agency (JAXA), Tsukuba, Japan.

Yoshinobu Sasaki (Y)

Earth Observation Research Center (EORC), Japan Aerospace Exploration Agency (JAXA), Tsukuba, Japan.

Bouasy Hongvanthong (B)

Center of Malariology, Parasitology and Entomology (CMPE), Ministry of Health, Vientiane, Lao People's Democratic Republic.

Shigeyuki Kano (S)

Department of Tropical Medicine and Malaria, Research Institute, National Center for Global Health and Medicine (NCGM), 1-21-1 Toyama, Shinjuku-Ku, Tokyo, 162-8655, Japan. kano@ri.ncgm.go.jp.
Parasitology Laboratory, Institut Pasteur du Laos (IPL), Ministry of Health, Vientiane, Lao People's Democratic Republic. kano@ri.ncgm.go.jp.

Classifications MeSH