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
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
60Subventions
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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