Using step selection functions to analyse human mobility using telemetry data in infectious disease epidemiology: a case study of leptospirosis.

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Bibliographic Details
Title: Using step selection functions to analyse human mobility using telemetry data in infectious disease epidemiology: a case study of leptospirosis.
Authors: Ruiz Cuenca P; Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, United Kingdom., Souza FN; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil.; Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Brazil., Coutinho do Nascimento R; Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Brazil., Goncalves da Silva A; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil., Eyre MT; Environmental Health Group, London School of Hygiene and Tropical Medicine, London, United Kingdom., Santana JO; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil.; Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Brazil., de Oliveira D; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil.; Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Brazil., Ribeiro de Souza EV; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil., Palma FG; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil., de Carvalho Santiago DC; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil., Dos Santos Ribeiro P; Federal University of Bahia, National Institute of Science and Technology in Interdisciplinary and Transdiciplinary Studies in Ecology and Evolution, Salvador, Brazil.; Amsterdam University Medical Centre, Leptospirosis Reference Center, Medical Microbiology and Infection Control, Amsterdam, Netherlands., Ferreira Dos Santos PE; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil., Khalil H; Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden., Read JM; Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, United Kingdom., Cremonese C; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil., Costa F; Institute of Collective Health, Federal University of Bahia, Salvador, Brazil.; Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Salvador, Brazil.; Department of Epidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven, United States., Giorgi E; Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, United Kingdom.
Source: ELife [Elife] 2025 Dec 01; Vol. 14. Date of Electronic Publication: 2025 Dec 01.
Publication Type: Journal Article
Journal Info: Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
Database: MEDLINE Ultimate
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