Author

A. Anyamba

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:metagenomics· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

A. D. LaBeaud· 1 shared A. Kemp· 1 shared A. M. Stewart-Ibarra· 1 shared A. R. Krystosik· 1 shared B. A. Han· 1 shared B. A. Ndenga· 1 shared B. Forshey· 1 shared B. Okech· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperEcology

A. D. LaBeaud

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Localized Rift Valley Fever Virus Persistence Depends on a High Transovarial Transmission Fraction

M. K. Rostal, J. Prentice, N. Ross, A. Kemp, P. Thompson, A. Anyamba, S. Cleaveland, C. Cordel, V. Msimang, P. Jansen van Vuren, D. Haydon, W. B. Karesh, J. Paweska, L. Matthews

This study models Rift Valley fever virus persistence via transovarial transmission and finds that a high TOT fraction enables localized persistence with realistic seroprevalence patterns.

bioRxiv · Oct 27, 2023 · PreprintEcology

A systematic review and meta-analysis of the potential non-human animal reservoirs and arthropod vectors of the Mayaro virus

M. Celone, B. Okech, B. A. Han, B. Forshey, A. Anyamba, J. Dunford, G. Rutherford, N. K. Mita Mendoza, E. L. Estallo, R. Khouri, I. C. de Siqueira, S. Pollett

This study identifies non-human animal reservoirs and arthropod vectors of Mayaro virus through a systematic review and meta-analysis of 57 studies.

bioRxiv · Jul 28, 2021Ecology

Climate predicts geographic and temporal variation in mosquito-borne disease dynamics on two continents

J. M. Caldwell, A. D. LaBeaud, E. F. Lambin, A. M. Stewart-Ibarra, B. A. Ndenga, F. M. Mutuku, A. R. Krystosik, E. B. Ayala, A. Anyamba, M. J. Borbor-Cordova, R. Damoah, E. N. Grossi-Soyster, F. Heras Heras, H. N. Ngugi, S. J. Ryan, , E. A. Mordecai

The paper develops a climate-driven model to predict mosquito-borne disease dynamics in Ecuador and Kenya, showing it captures outbreak characteristics with variable accuracy.

bioRxiv · Feb 7, 2020Ecology