Communications Medicine (Oct 2022)

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

  • 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

DOI
https://doi.org/10.1038/s43856-022-00192-7
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 11

Abstract

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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 occurrence in different regions of Mexico.