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pro vyhledávání: '"Latifur Khan"'
Autor:
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
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-11 (2022)
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-
Externí odkaz:
https://doaj.org/article/eb9cdcbe8b394ce092af58f1291678de