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Affiliate Faculty

Katharina Koelle

Associate Professor, Biology
Trinity College of Arts and Sciences
Biology

(919) 660-9457
katia.koelle@duke.edu

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Katharina Koelle

Summary

My research focuses on the ecology and evolution of infectious diseases. I use a combination of mathematical and statistical approaches to understand the processes driving the disease dynamics of pathogens. My interests include the effect of climate on disease dynamics and the role that immune escape plays in the ecological dynamics of RNA viruses. Current projects focus on influenza, dengue, and norovirus.

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Recent Publications

Deep Sequencing of Influenza A Virus from a Human Challenge Study Reveals a Selective Bottleneck and Only Limited Intrahost Genetic Diversification., 12, 2016 Sobel Leonard, A; McClain, MT; Smith, GJ; Wentworth, DE; Halpin, RA; Lin, X; Ransier, A; Stockwell, TB; Das, SR; Gilbert, AS; Lambkin-Williams, R; Ginsburg, GS; Woods, CW; Koelle, K, Journal of virology. 90 vol. (24); pp. 11247-11258

Drivers of Inter-individual Variation in Dengue Viral Load Dynamics, 11, 2016 Ben-Shachar, R; Schmidler, S; Koelle, K, PLoS computational biology. 12 vol. (11); pp. e1005194-e1005194

The Long-Term Safety, Public Health Impact, and Cost-Effectiveness of Routine Vaccination with a Recombinant, Live-Attenuated Dengue Vaccine (Dengvaxia): A Model Comparison Study, 11, 2016 Flasche, S; Jit, M; Rodríguez-Barraquer, I; Coudeville, L; Recker, M; Koelle, K; Milne, G; Hladish, TJ; Perkins, TA; Cummings, DAT; Dorigatti, I; Laydon, DJ; España, G; Kelso, J; Longini, I; Lourenco, J; Pearson, CAB; Reiner, RC; Mier-y-Terán-Romero, L; Vannice, K; Ferguson, N, PLoS medicine. 13 vol. (11); pp. e1002181-e1002181

Koelle, K. and D.A. Rasmussen (2015). The effects of a deleterious mutation load on patterns of influenza A/H3N2’s antigenic evolution in humans. eLife. doi: 10.7554/eLife.07361

Ben-Shachar, R. and K. Koelle (2015). Minimal within-host dengue models highlight the specific roles of the immune response in primary and secondary dengue infections. Journal of the Royal Society, Interface. 12 (103), p. 20140886. doi: 10.1098/rsif.2014.0886

Koelle, K. and D.A. Rasmussen (2014). Influenza: prediction is worth a shot. Nature. 507 (7490), pp. 47-48.doi:10.1038/nature13054

Rasmussen, D.A., Volz, E., and K. Koelle (2014). Phylodynamic inference for structured epidemiological models. PLoS Computational Biology. 10(4), p. e1003570.doi:10.1371/journal.pcbi.1003570