Predicting distribution of malaria vector larval habitats in Ethiopia by integrating distributed hydrologic modeling with remotely sensed data

Larval source management has gained renewed interest as a malaria control strategy in Africa but the widespread and transient nature of larval breeding sites poses a challenge to its implementation. To address this problem, we propose combining an integrated high resolution (50 m) distributed hydrol...

Descripción completa

Detalles Bibliográficos
Autores principales: Jiang, Ai-Ling, Lee, Ming-Chieh, Zhou, Guofa, Zhong, Daibin, Hawaria, Dawit, Kibret, Solomon, Yewhalaw, Delenasaw, Sanders, Brett F., Yan, Guiyun, Hsu, Kuolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8115507/
https://www.ncbi.nlm.nih.gov/pubmed/33980945
http://dx.doi.org/10.1038/s41598-021-89576-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8115507/
https://www.ncbi.nlm.nih.gov/pubmed/33980945
http://dx.doi.org/10.1038/s41598-021-89576-8

Ejemplares similares