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Biorxiv : the Preprint Server for Biology|July 15, 2024
e3SIM: epidemiological-ecological-evolutionary simulation framework for genomic epidemiologyPeiyu Xu, Shenni Liang, Andrew Hahn, et al.
Genome Medicine|December 9, 2014
A phylogeny-based sampling strategy and power calculator informs genome-wide associations study design for microbial pathogensMaha R Farhat, B Jesse Shapiro, Samuel K Sheppard, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|April 30, 2021
Estimating Genetic Similarity Matrices Using PhylogeniesShijia Wang, Shufei Ge, Caroline Colijn, et al.
Infectious Disease Modelling|July 11, 2026
Comparing methods to estimate time-varying reproduction numbers using genomic and epidemiological dataElisha B Are, Siavash Riazi, Niloufar Saeidi Mobarakeh, et al.
Journal of the Royal Society, Interface|August 25, 2017
Host population structure and treatment frequency maintain balancing selection on drug resistanceSarah Cobey, Edward B Baskerville, Caroline Colijn, et al.
Methods in Ecology and Evolution|April 9, 2026
e3SIM: Epidemiological-ecological-evolutionary simulation framework for genomic epidemiologyPeiyu Xu, Shenni Liang, Andrew Hahn, et al.
The American Journal of Tropical Medicine and Hygiene|February 5, 2011
Drug resistance surveillance in resource-poor settings: current methods and considerations for TB, HIV, and malariaBethany L Hedt, Miriam K Laufer, Ted Cohen
BMC Infectious Diseases|October 24, 2020
Risk factors for recurrent tuberculosis after successful treatment in a high burden setting: a cohort studyPatrick George Tobias Cudahy, Douglas Wilson, Ted Cohen
Plos Computational Biology|January 7, 2017
Using Chemical Reaction Kinetics to Predict Optimal Antibiotic Treatment StrategiesPia Abel Zur Wiesch, Fabrizio Clarelli, Ted Cohen
Microbial Drug Resistance (Larchmont, N.Y.)|January 15, 2005
Isoniazid resistance and the future of drug-resistant tuberculosisTed Cohen, Mercedes C Becerra, Megan B Murray
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