使

Komi Mensah Agboka1, Moses Mwaura2, Bonoukpoè M Sokame2

  • 1International Centre of Insect Physiology and Ecology (icipe), P.O. Box 30772 00100, Nairobi, Kenya; Laboratoire de Recherche en Science et Technologie (LARSI), Département de Génie Informatique (GI), École Polytechnique de Lomé (EPL), Université de Lomé, Lomé, Togo.

Acta tropica
|March 5, 2026
PubMed
概括

一个新的自组织地图 (SOM) 模型准确地预测了西非的拉萨热风险热点. 这种方法整合了环境数据和人类定居模式,以加强疾病监测和预防工作.

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