Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease.
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| Title: | Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease. |
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| Authors: | Ledien J; School of Life Sciences, University of Sussex, Falmer, Brighton, United Kingdom., Cucunubá ZM; London Centre for Neglected Tropical Disease Research & MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.; Departamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Universidad Pontificia Javeriana, Bogotá, Colombia., Parra-Henao G; Centro de Investigación en Salud para el Trópico, Universidad Cooperativa de Colombia, Santa Marta, Colombia.; National Institute of Health, Bogotá, Colombia., Rodríguez-Monguí E; Independent consultant to the Neglected, Tropical and Vector Borne Diseases Program, Pan American Health Organization (PAHO), Bogota, Colombia., Dobson AP; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America., Adamo SB; Center for International Earth Science Information Network (CIESIN), Columbia Climate School, Columbia University, New York, New York, United States of America., Basáñez MG; London Centre for Neglected Tropical Disease Research & MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom., Nouvellet P; School of Life Sciences, University of Sussex, Falmer, Brighton, United Kingdom. |
| Source: | PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2022 Jul 19; Vol. 16 (7), pp. e0010594. Date of Electronic Publication: 2022 Jul 19 (Print Publication: 2022). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101291488 Publication Model: eCollection Cited Medium: Internet ISSN: 1935-2735 (Electronic) Linking ISSN: 19352727 NLM ISO Abbreviation: PLoS Negl Trop Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1935-2735 |
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| DOI: | 10.1371/journal.pntd.0010594 |
