Spatio-temporal dynamics of three diseases caused by Aedes-borne arboviruses in Mexico

Spatio-temporal dynamics of three diseases caused by Aedes-borne arboviruses in Mexico

Dong et al. analyse Aedes-borne diseases (ABDs) presence, local climate, and socio-demographic factors of 2,469 municipalities in Mexico, and apply machine learning to predict areas most at risk of ABDs clusters. Dengue was most prevalent, and socio-demographic and climatic factors influenced ABDs o...

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Bibliographic Details
Main Authors: Bo Dong, Latifur Khan, Madison Smith, Jesus Trevino, Bingxin Zhao, Gabriel L. Hamer, Uriel A. Lopez-Lemus, Aracely Angulo Molina, Jailos Lubinda, Uyen-Sa D. T. Nguyen, Ubydul Haque
Format: Article
Language:English
Published: Nature Portfolio 2022-10-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-022-00192-7

Internet

https://doi.org/10.1038/s43856-022-00192-7

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