Details
Title
Pareto rules for malaria super-spreaders and super-spreading
Author
Cooper, Laura 1 ; Su Yun Kang 2 ; Bisanzio, Donal 3 ; Maxwell, Kilama 4 ; Rodriguez-Barraquer, Isabel 5
; Greenhouse, Bryan 6 ; Drakeley, Chris 7
; Arinaitwe, Emmanuel 8 ; Staedke, Sarah G 7 ; Gething, Peter W 2 ; Eckhoff, Philip 9 ; Reiner, Robert C, Jr 10
; Hay, Simon I 10
; Dorsey, Grant 6 ; Kamya, Moses R 11 ; Lindsay, Steven W 12 ; Grenfell, Bryan T 13 ; Smith, David L 10
1 Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Department of Veterinary Medicine, Cambridge University, Cambridge, UK
2 Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
3 Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; RTI International, Washington, DC, USA; Epidemiology and Public Health Division, School of Medicine, University of Nottingham, Nottingham, UK
4 Infectious Diseases Research Collaboration, Kampala, Uganda
5 Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA; Department of Medicine, University of California, San Francisco, CA, USA
6 Department of Medicine, University of California, San Francisco, CA, USA
7 London School of Hygiene & Tropical Medicine, London, UK
8 Infectious Diseases Research Collaboration, Kampala, Uganda; London School of Hygiene & Tropical Medicine, London, UK
9 Institute for Disease Modeling, Bellevue, WA, USA
10 Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
11 School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
12 School of Biological and Biomedical Sciences, Durham University, Durham, UK
13 Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, NJ, USA; Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
; Greenhouse, Bryan 6 ; Drakeley, Chris 7
; Arinaitwe, Emmanuel 8 ; Staedke, Sarah G 7 ; Gething, Peter W 2 ; Eckhoff, Philip 9 ; Reiner, Robert C, Jr 10
; Hay, Simon I 10
; Dorsey, Grant 6 ; Kamya, Moses R 11 ; Lindsay, Steven W 12 ; Grenfell, Bryan T 13 ; Smith, David L 10
1 Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Department of Veterinary Medicine, Cambridge University, Cambridge, UK
2 Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
3 Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK; RTI International, Washington, DC, USA; Epidemiology and Public Health Division, School of Medicine, University of Nottingham, Nottingham, UK
4 Infectious Diseases Research Collaboration, Kampala, Uganda
5 Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA; Department of Medicine, University of California, San Francisco, CA, USA
6 Department of Medicine, University of California, San Francisco, CA, USA
7 London School of Hygiene & Tropical Medicine, London, UK
8 Infectious Diseases Research Collaboration, Kampala, Uganda; London School of Hygiene & Tropical Medicine, London, UK
9 Institute for Disease Modeling, Bellevue, WA, USA
10 Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
11 School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
12 School of Biological and Biomedical Sciences, Durham University, Durham, UK
13 Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, NJ, USA; Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
Pages
1-9
Publication year
2019
Publication date
Sep 2019
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2283282667
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.