Kenneth Gunasekera
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Biography
Kenneth is an MD-PhD student pursuing PhD training in the Department of Epidemiology of Microbial Disease advised by Ted Cohen. His work uses spatial and decision-analytic methods to improve the control and care of childhood tuberculosis. His scientific interests are in using modeling to extend clinical and epidemiological research to address critical problems in public health. His career aspiration is to be a physician-scientist who advocates for children, families, and communities, with a particular focus on improving access to evidence-based healthcare.
Last Updated on September 16, 2022.
Departments & Organizations
Education & Training
- BS
- Yale University, Molecular Biophysics and Biochemistry (2015)
Research
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Research at a Glance
Yale Co-Authors
Frequent collaborators of Kenneth Gunasekera's published research.
Ted Cohen, DPH, MD, MPH
Patrick Cudahy, MD, MSc
Reza Yaesoubi
Former YSM
Publications
2022
Reconstructing the course of the COVID-19 epidemic over 2020 for US states and counties: Results of a Bayesian evidence synthesis model
Chitwood MH, Russi M, Gunasekera K, Havumaki J, Klaassen F, Pitzer VE, Salomon JA, Swartwood NA, Warren JL, Weinberger DM, Cohen T, Menzies NA. Reconstructing the course of the COVID-19 epidemic over 2020 for US states and counties: Results of a Bayesian evidence synthesis model. PLOS Computational Biology 2022, 18: e1010465. PMID: 36040963, PMCID: PMC9467347, DOI: 10.1371/journal.pcbi.1010465.Peer-Reviewed Original ResearchCitationsAltmetricPredicting resistance to fluoroquinolones among patients with rifampicin-resistant tuberculosis using machine learning methods
You S, Chitwood MH, Gunasekera KS, Crudu V, Codreanu A, Ciobanu N, Furin J, Cohen T, Warren JL, Yaesoubi R. Predicting resistance to fluoroquinolones among patients with rifampicin-resistant tuberculosis using machine learning methods. PLOS Digital Health 2022, 1: e0000059. PMID: 36177394, PMCID: PMC9518704, DOI: 10.1371/journal.pdig.0000059.Peer-Reviewed Original ResearchCitationsAltmetricPhylogeography and transmission of M. tuberculosis in Moldova: A prospective genomic analysis
Yang C, Sobkowiak B, Naidu V, Codreanu A, Ciobanu N, Gunasekera KS, Chitwood MH, Alexandru S, Bivol S, Russi M, Havumaki J, Cudahy P, Fosburgh H, Allender CJ, Centner H, Engelthaler DM, Menzies NA, Warren JL, Crudu V, Colijn C, Cohen T. Phylogeography and transmission of M. tuberculosis in Moldova: A prospective genomic analysis. PLOS Medicine 2022, 19: e1003933. PMID: 35192619, PMCID: PMC8903246, DOI: 10.1371/journal.pmed.1003933.Peer-Reviewed Original ResearchCitationsAltmetric
2021
Development of a Treatment-decision Algorithm for Human Immunodeficiency Virus–uninfected Children Evaluated for Pulmonary Tuberculosis
Gunasekera KS, Walters E, van der Zalm MM, Palmer M, Warren JL, Hesseling AC, Cohen T, Seddon JA. Development of a Treatment-decision Algorithm for Human Immunodeficiency Virus–uninfected Children Evaluated for Pulmonary Tuberculosis. Clinical Infectious Diseases 2021, 73: e904-e912. PMID: 33449999, PMCID: PMC8366829, DOI: 10.1093/cid/ciab018.Peer-Reviewed Original ResearchCitationsAltmetric
2020
Children as sentinels of tuberculosis transmission: disease mapping of programmatic data
Gunasekera KS, Zelner J, Becerra MC, Contreras C, Franke MF, Lecca L, Murray MB, Warren JL, Cohen T. Children as sentinels of tuberculosis transmission: disease mapping of programmatic data. BMC Medicine 2020, 18: 234. PMID: 32873309, PMCID: PMC7466499, DOI: 10.1186/s12916-020-01702-x.Peer-Reviewed Original ResearchCitationsAltmetric
News
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News
- July 24, 2023
Anne Havlik and Kenneth Gunasekera Win Global Health Awards
- June 20, 2023
Office of Global Health Hosts 12th Annual Global Health Day
- March 13, 2023
New Algorithms Could Improve Pediatric Tuberculosis Diagnosis
- March 10, 2022
YSPH-led Study Identifies Drug-Resistant Tuberculosis Strains Spreading in Moldova