Melanie H Chitwood, MS
DownloadHi-Res Photo
About
Biography
Melanie H. Chitwood is a doctoral candidate in the Ted Cohen Lab. She is interested in using mathematical models to understand the transmission and prevalence of tuberculosis in high burden settings. She has previously worked as a Research Associate in the Cohen Lab, where she was involved in projects in Brazil and on COVID-19 estimates and projections. Melanie received her BA from Hampshire College and her MS in Global Health and Population from the Harvard T.H. Chan School of Public Health.
Education & Training
- MS
- Harvard T.H. Chan School of Publich Health, Global Health and Population
- BA
- Hamsphire College
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Melanie H Chitwood's published research.
Ted Cohen, DPH, MD, MPH
Alexandra Savinkina, MSPH
Gregg Gonsalves, PhD
Jiye Kwon, MPH
Joshua Warren, PhD
Publications
2023
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data
Warren J, Chitwood M, Sobkowiak B, Colijn C, Cohen T. Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data. Biometrics 2023, 79: 3650-3663. PMID: 36745619, PMCID: PMC10404301, DOI: 10.1111/biom.13836.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsEstimated Testing, Tracing, and Vaccination Targets for Containment of the US Mpox Outbreak
Chitwood M, Kwon J, Savinkina A, Walker J, Bilinski A, Gonsalves G. Estimated Testing, Tracing, and Vaccination Targets for Containment of the US Mpox Outbreak. JAMA Network Open 2023, 6: e2250984. PMID: 36637825, PMCID: PMC9857202, DOI: 10.1001/jamanetworkopen.2022.50984.Peer-Reviewed Original ResearchCitationsAltmetric
2022
A spatial-mechanistic model to estimate subnational tuberculosis burden with routinely collected data: An application in Brazilian municipalities
Chitwood M, Alves L, Bartholomay P, Couto R, Sanchez M, Castro M, Cohen T, Menzies N. A spatial-mechanistic model to estimate subnational tuberculosis burden with routinely collected data: An application in Brazilian municipalities. PLOS Global Public Health 2022, 2: e0000725. PMID: 36962578, PMCID: PMC10021638, DOI: 10.1371/journal.pgph.0000725.Peer-Reviewed Original ResearchCitationsAltmetricConceptsPerson/yearTB incidenceCase notificationBurden estimatesIncident TB casesTB case notificationTB control strategiesDisease burden estimatesIncident TBUntreated TBTB casesTuberculosis burdenDisease burdenIncidence rateCase detectionRoutine dataDeath recordsMortality dataIncidenceSubnational estimatesDisease control resourcesBurdenHigh needTBFraction of individuals
2021
Trends in Untreated Tuberculosis in Large Municipalities, Brazil, 2008–2017 - Volume 27, Number 3—March 2021 - Emerging Infectious Diseases journal - CDC
Chitwood MH, Pelissari DM, da Silva G, Bartholomay P, Rocha MS, Arakaki-Sanchez D, Sanchez M, Cohen T, Castro MC, Menzies NA. Trends in Untreated Tuberculosis in Large Municipalities, Brazil, 2008–2017 - Volume 27, Number 3—March 2021 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2021, 27: 957-960. PMID: 33622464, PMCID: PMC7920690, DOI: 10.3201/eid2703.204094.Peer-Reviewed Original ResearchCitationsAltmetricBayesian evidence synthesis to estimate subnational TB incidence: An application in Brazil
Chitwood MH, Pelissari DM, da Silva G, Bartholomay P, Rocha MS, Sanchez M, Arakaki-Sanchez D, Glaziou P, Cohen T, Castro MC, Menzies NA. Bayesian evidence synthesis to estimate subnational TB incidence: An application in Brazil. Epidemics 2021, 35: 100443. PMID: 33676092, PMCID: PMC8252152, DOI: 10.1016/j.epidem.2021.100443.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsTB incidenceFraction of casesUntreated active diseaseIncident TB casesTB control programsLocal disease burdenIncident TBActive diseaseTB burdenTB casesTB outcomesTB notificationsDisease burdenBayesian evidence synthesisCase detectionIncidenceEvidence synthesisAverage annual increaseControl programsBurdenAnnual rateAnnual increaseFraction of individualsAverage annual rateSources of bias
Academic Achievements & Community Involvement
honor Inaugural Gerald Friedland Global Health Research Award
National AwardOffice of Global HealthDetails04/01/2022United States