Bayesian estimation of Lassa virus epidemiological parameters: Implications for spillover prevention using wildlife vaccination

Authors

Scott L. Nuismer, University of Idaho
Christopher H. Remien, University of Idaho
Andrew J. Basinski, University of Idaho
Tanner Varrelman, University of Idaho
Nathan Layman, University of Idaho
Kyle Rosenke, National Institutes of Health
Brian Bird, University of California at Davis
Michael Jarvis, School of Biomedical Sciences
Peter Barry, University of California at Davis
Patrick W. Hanley, National Institutes of Health
Elisabeth Fichet-Calvet, Bernhard Nocht Institute for Tropical Medicine

ORCID

• Michael Jarvis: 0000-0002-0124-4061

DOI

10.1371/journal.pntd.0007920

Publication Date

2020-09-21

Publication Title

PLoS Neglected Tropical Diseases

Volume

14

Issue

9

ISSN

1935-2727

Embargo Period

2020-11-19

First Page

7920

Last Page

7920

Recommended Citation

Nuismer, S., Remien, C., Basinski, A., Varrelman, T., Layman, N., Rosenke, K., Bird, B., Jarvis, M., Barry, P., Hanley, P., & Fichet-Calvet, E. (2020) 'Bayesian estimation of Lassa virus epidemiological parameters: Implications for spillover prevention using wildlife vaccination', PLoS Neglected Tropical Diseases, 14(9), pp. 7920-7920. Available at: 10.1371/journal.pntd.0007920