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Quantifying transmission of emerging zoonoses: Using mathematical models to maximize the value of surveillance data
View ORCID ProfileMonique R. Ambrose, View ORCID ProfileAdam J. Kucharski, Pierre Formenty, Jean-Jacques Muyembe-Tamfum, Anne W. Rimoin, James O. Lloyd-Smith
doi: https://doi.org/10.1101/677021
Monique R. Ambrose
1Department of Ecology and Evolutionary Biology, University of California, Los Angeles
Adam J. Kucharski
2London School of Hygiene and Tropical Medicine
3Fogarty International Center, National Institutes of Health, Bethesda, MD
Pierre Formenty
4World Health Organization, Geneva, Switzerland
Jean-Jacques Muyembe-Tamfum
5Democratic Republic of the Congo National Institute for Biomedical Research
Anne W. Rimoin
6Department of Epidemiology, University of California, Los Angeles
James O. Lloyd-Smith
1Department of Ecology and Evolutionary Biology, University of California, Los Angeles
3Fogarty International Center, National Institutes of Health, Bethesda, MD
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Posted June 19, 2019.
Quantifying transmission of emerging zoonoses: Using mathematical models to maximize the value of surveillance data
Monique R. Ambrose, Adam J. Kucharski, Pierre Formenty, Jean-Jacques Muyembe-Tamfum, Anne W. Rimoin, James O. Lloyd-Smith
bioRxiv 677021; doi: https://doi.org/10.1101/677021
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