Epidemiological modelling in refugee and internally displaced people settlements: challenges and ways forward.

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Title: Epidemiological modelling in refugee and internally displaced people settlements: challenges and ways forward.
Authors: Aylett-Bullock J; UN Global Pulse, United Nations, New York, New York, USA joseph@unglobalpulse.org.; Institute for Data Science, Durham University, Durham, UK., Gilman RT; Centre for Crisis Studies and Mitigation, The University of Manchester, Manchester, UK.; Department of Earth and Environmental Sciences, The University of Manchester, Manchester, UK., Hall I; Centre for Crisis Studies and Mitigation, The University of Manchester, Manchester, UK.; Division of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.; Department of Mathematics, The University of Manchester, Manchester, UK., Kennedy D; UK Public Health Rapid Support Team, London School of Hygiene & Tropical Medicine/Public Health England, London, UK., Evers ES; WHO Cox's Bazar Emergency Sub-Office, United Nations, Cox's Bazar, Bangladesh., Katta A; UN Global Pulse, United Nations, New York, New York, USA., Ahmed H; UNHCR Cox's Bazar Sub-Office, United Nations, Cox's Bazar, Bangladesh., Fong K; Department of Science, Technology, Engineering and Public Policy, University College London, London, UK., Adib K; WHO Eastern Mediterranean Regional Office, United Nations, Cairo, Egypt., Al Ariqi L; WHO Eastern Mediterranean Regional Office, United Nations, Cairo, Egypt., Ardalan A; WHO Eastern Mediterranean Regional Office, United Nations, Cairo, Egypt., Nabeth P; WHO Eastern Mediterranean Regional Office, United Nations, Cairo, Egypt., von Harbou K; WHO Cox's Bazar Emergency Sub-Office, United Nations, Cox's Bazar, Bangladesh., Hoffmann Pham K; UN Global Pulse, United Nations, New York, New York, USA.; Stern School of Business, New York University, New York City, New York, USA., Cuesta-Lazaro C; Institute for Data Science, Durham University, Durham, UK., Quera-Bofarull A; Institute for Data Science, Durham University, Durham, UK., Gidraf Kahindo Maina A; UNHCR Public Health Unit, United Nations, Cox's Bazar, Bangladesh., Valentijn T; OCHA Centre for Humanitarian Data, United Nations, The Hague, The Netherlands., Harlass S; UNHCR Public Health Unit, United Nations, Geneva, Switzerland., Krauss F; Institute for Data Science, Durham University, Durham, UK., Huang C; UNHCR Global Data Service, United Nations, Copenhagen, New York, USA., Moreno Jimenez R; UNHCR Innovation, United Nations, Geneva, Switzerland., Comes T; Faculty of Technology, Policy, and Management, Department of Engineering Systems and Services, Delft University of Technology, Delft, The Netherlands., Gaanderse M; Faculty of Technology, Policy, and Management, Department of Engineering Systems and Services, Delft University of Technology, Delft, The Netherlands., Milano L; OCHA Centre for Humanitarian Data, United Nations, The Hague, The Netherlands., Luengo-Oroz M; UN Global Pulse, United Nations, New York, New York, USA.
Source: BMJ global health [BMJ Glob Health] 2022 Mar; Vol. 7 (3).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Systematic Review
Journal Info: Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101685275 Publication Model: Print Cited Medium: Print ISSN: 2059-7908 (Print) Linking ISSN: 20597908 NLM ISO Abbreviation: BMJ Glob Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2059-7908
DOI:10.1136/bmjgh-2021-007822