Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease.

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作者： Julia,Ledien ^[1] ; Zulma M,Cucunubá ^[2] ; Gabriel,Parra-Henao ^[3] ; Eliana,Rodríguez-Monguí ^[4] ; Andrew P,Dobson ^[5] ; Susana B,Adamo ^[6] ; María-Gloria,Basáñez ^[7] ; Pierre,Nouvellet ^[8]

作者单位： School of Life Sciences, University of Sussex, Falmer, Brighton, United Kingdom. ^[1] London Centre for Neglected Tropical Disease Research & MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom. ^[2] Departamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Universidad Pontificia Javeriana, Bogotá, Colombia. ^[3] Centro de Investigación en Salud para el Trópico, Universidad Cooperativa de Colombia, Santa Marta, Colombia. ^[4] National Institute of Health, Bogotá, Colombia. ^[5] Independent consultant to the Neglected, Tropical and Vector Borne Diseases Program, Pan American Health Organization (PAHO), Bogota, Colombia. ^[6] Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America. ^[7] Center for International Earth Science Information Network (CIESIN), Columbia Climate School, Columbia University, New York, New York, United States of America. ^[8]

主题词 Chagas病(Chagas Disease);哥伦比亚(Colombia);人类(Humans);线性模型(Linear Models);患病率(Prevalence)

DOI 10.1371/journal.pntd.0010594

PMID 35853042

发布时间 2022-10-09

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