Impact of climate and land use/land cover changes on malaria incidence in the Ecuadorian Amazon

Andrea L. Araujo Navas, Mark M. Janko, Fátima L. Benítez, Manuel Narvaez, Luis E. Vasco, P. Kansara, Benjamin Zaitchik, William K. Pan, Carlos F. Mena
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Abstract

Malaria transmission is influenced by climate and land use/land cover change (LULC). This study examines the impact of climate and LULC on malaria risk in the Ecuadorian Amazon. Weekly malaria surveillance data between 2008 and 2019 from Ecuador’s Ministry of Public Health were combined with hydrometeorological and LULC data. Cross-correlation analyses identified time lags. Bayesian spatiotemporal models estimated annual LULC rates of change (ARC) by census area and assessed the effects on Plasmodium vivax and Plasmodium falciparum incidence. ARC for the five land cover classes (forest, agriculture, urban, shrub vegetation, water) ranged from -1 to 4% with agriculture increasing across areas. Forest and shrub vegetation ARC were significantly associated with both Plasmodium vivax and Plasmodium falciparum. Temperature and terrestrial water content showed consistent negative relationships with both species. Precipitation had varying effects on Plasmodium vivax (null) and Plasmodium falciparum (increase) incidence. Shrubs and forest expansion, increased temperature, and terrestrial water content reduced malaria incidence, while increased precipitation had varying effects. Relationships between malaria, LULC, and climate are complex, influencing risk profiles. These findings aid decision-making and guide further research in the region.
气候和土地利用/土地覆盖变化对厄瓜多尔亚马逊地区疟疾发病率的影响
疟疾传播受气候和土地利用/土地覆被变化(LULC)的影响。本研究探讨了气候和 LULC 对厄瓜多尔亚马逊地区疟疾风险的影响。研究将厄瓜多尔公共卫生部 2008 年至 2019 年期间的每周疟疾监测数据与水文气象和 LULC 数据相结合。交叉相关分析确定了时间滞后。贝叶斯时空模型按普查区估算了土地覆被年变化率(ARC),并评估了对间日疟原虫和恶性疟原虫发病率的影响。五个土地覆被等级(森林、农业、城市、灌木植被、水域)的 ARC 变化率从 -1% 到 4% 不等,其中农业变化率在各地区均有所上升。森林和灌木植被的 ARC 与间日疟原虫和恶性疟原虫的发病率均有显著相关。温度和陆地含水量与这两种疟原虫均呈负相关。降水量对间日疟原虫(无)和恶性疟原虫(增加)的发病率有不同的影响。灌木和森林的扩展、温度的升高和陆地含水量的增加降低了疟疾发病率,而降水量的增加则产生了不同的影响。疟疾、土地利用、土地利用变化和气候之间的关系非常复杂,影响着风险概况。这些发现有助于决策,并为该地区的进一步研究提供指导。
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