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

IF 3.6 Q1 TROPICAL MEDICINE Tropical Medicine and Health Pub Date : 2023-11-02 DOI:10.1186/s41182-023-00554-4
Emilie Louise Akiko Matsumoto-Takahashi, Moritoshi Iwagami, Kei Oyoshi, Yoshinobu Sasaki, Bouasy Hongvanthong, Shigeyuki Kano
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Abstract

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: 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: 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: 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.

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老挝境内森林砍伐抑制疟疾传播:利用地球观测卫星进行的空间流行病学研究。
背景:本研究旨在分析砍伐森林对老挝人民民主共和国疟疾分布的影响,同时考虑到气候变化。方法:从老挝卫生部获得2002年至2015年的疟疾分布数据,并计算每个指标。地球观测卫星数据(森林面积、地表温度和降水量)是从日本宇宙航空研究开发机构(JAXA)获得的。进行了结构方程建模(SEM),以阐明疟疾发病率与地球观测卫星数据之间的关系。结果:扫描电镜确定了和疟疾发病率独立相关的两个因素:森林面积和比例。具体而言,疟疾在南部地区更为普遍,疟疾发病率随着林地比例的增加而增加(两者均为p 结论:为了加快在老挝消灭疟疾,重要的是在森林覆盖率增加的地方(如种植园)和疟疾流行区附近的低温地区进行识别、预防和干预,因为那里的植被与疟疾流行区的植被相似。
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来源期刊
Tropical Medicine and Health
Tropical Medicine and Health TROPICAL MEDICINE-
CiteScore
7.00
自引率
2.20%
发文量
90
审稿时长
11 weeks
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