Author

S. L. Nuismer

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

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Research Focus:host-pathogen & immune response· 3 Organism:mouse· 3 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Basinski· 1 shared A. J. Basinski· 1 shared A. R. Sjodin· 1 shared B. Bird· 1 shared B. H. Bird· 1 shared B. M. Ghersi· 1 shared C. H. Remien· 1 shared C. Monagin· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperEcology

A. Basinski

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3 papers

Recent·Most cited

Using serosurveys to optimize surveillance for zoonotic pathogens

E. Clancey, S. L. Nuismer, S. N. Seifert

This paper develops a statistical model using serosurveillance data to predict peak pathogen prevalence in wildlife reservoirs, improving the timing of field sampling for zoonotic pathogens.

bioRxiv · Feb 22, 2024Ecology

Bridging the gap: Using reservoir ecology and human serosurveys to estimate Lassa virus spillover in West Africa

A. J. Basinski, E. J. Fichet-Calvet, A. R. Sjodin, T. J. Varrelman, C. Remien, N. C. Layman, B. H. Bird, D. J. Wolking, C. Monagin, B. M. Ghersi, P. A. Barry, M. A. Jarvis, P. E. Gessler, S. L. Nuismer

This paper develops a machine learning framework to estimate Lassa virus spillover risk by separating reservoir and spillover risk components, finding Nigeria accounts for over half of annual infections.

bioRxiv · Mar 5, 2020Ecology

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

S. L. Nuismer, C. H. Remien, A. Basinski, T. Varrelman, N. Layman, K. Rosenke, B. Bird, M. Jarvis, P. Barry, E. Fichet-Calvet

This paper develops a Bayesian method to estimate Lassa virus epidemiological parameters and evaluates rodent vaccination efficacy using simulated and real data from Guinea.

bioRxiv · Nov 13, 2019Ecology