Geographic origins and dispersal of drug-resistant M. tuberculosis in South Africa: Advancing strategies for early detection
Project Number5K08AI166125-03
Former Number1K08AI166125-01A1
Contact PI/Project LeaderBROWN, TYLER STEVEN
Awardee OrganizationBOSTON MEDICAL CENTER
Description
Abstract Text
PROJECT SUMMARY
Background: South Africa is a unique, high-risk environment for the emergence of novel drug-resistant strains
of Mycobacterium tuberculosis (Mtb). Novel drug-resistant Mtb strains are often identified only after they have
achieved sustained transmission and dispersed into larger geographic areas away from their origin location.
Strategies for early detection of drug-resistant Mtb strains, at the critical juncture between outbreak and
epidemic, are lacking. Candidate: I am infectious disease physician and epidemiologist, with experience in
genomic epidemiology, mathematical modeling, and field-level public health research and health service
delivery. My research employs multiple data sources (including geolocated microbial genomic data and mobile
phone-associated movement data) to understand how epidemics emerge and spread. The overarching objective
of my work is to improve and innovate strategies for surveillance and containment of drug-resistant infections,
focused on malaria and tuberculosis. Training: I am seeking career development support to pursue my long-
term goal of becoming an independent NIH-funded physician scientist. To achieve my research and career goals,
I will pursue additional training in Bayesian statistics, spatial population genetics, network science, and research
management skills. Mentors and Environment: Dr. Caroline Buckee, a global leader in infectious disease
epidemiology and mobility-informed infectious disease modeling, will oversee my research and training activities
as primary mentor. Dr. Barun Mathema, a scientific expert in the tuberculosis genomic epidemiology and
tuberculosis transmission, will provide focused scientific support as my co-mentors. Key collaborators on this
project include Dr. Shaheed Vally Omar (surveillance for drug-resistant TB in South Africa), Dr. Ted Cohen
(mathematical modeling and epidemiology of tuberculosis), Dr. Sheetal Silal (agent-based modeling of infectious
disease dynamics), and Dr. Sarita Shah (TB surveillance and control). Dr. Marc Lipsitch, Dr. Yonatan Grad, Dr.
Louise Ivers, Dr. Neil Schluger, and Dr. Frank Tanser will form a Scientific Advisory Board, who will provide
annual feedback on my research and training activities. I will train and conduct research activities during the K08
award at the Harvard T.H. Chan School of Public Health Center for Communicable Disease Dynamics.
Research: I will examine novel strategies for early detection of drug-resistant Mtb in South Africa through
research activities under three specific aims: (1) Using geolocated Mtb genomic data to estimate likely origin
locations and transmission hubs for multiple drug-resistant Mtb strains currently circulating in South Africa; (2)
Developing an individual-based computational model of Mtb transmission in South Africa incorporating human
mobility data and Mtb within-host evolution; (3) Evaluating multiple candidate surveillance strategies for early
detection and containment of novel drug-resistant strains of Mtb using individual-based modeling.
Public Health Relevance Statement
PROJECT NARRATIVE
Drug-resistant tuberculosis (TB) remains an important threat to global public health. Early identification, at the
critical juncture between outbreak and epidemic, can prevent disease and deaths due to drug-resistant TB
infections. In this project, we use genetic data from TB infections and data on human mobility to advance new
strategies for early detection and containment of emerging strains of drug-resistant TB.
NIH Spending Category
No NIH Spending Category available.
Project Terms
AddressAwardBayesian AnalysisCOVID-19CalibrationCellular PhoneCessation of lifeCitiesCollectionCommunicable DiseasesComputer ModelsContainmentDataData SourcesDetectionDevelopmentDiseaseDisease OutbreaksDrug resistanceDrug resistance in tuberculosisDrug resistant Mycobacteria TuberculosisEarly DiagnosisEarly identificationEnvironmentEpidemicEpidemiologistEpidemiologyEvaluationEvolutionFeedbackFundingFutureGeneticGenetic ModelsGenetic VariationGeographic LocationsGeographyGoalsHIVHealth Services AccessibilityHouseholdHumanIndividualInfectionInfectious Disease EpidemiologyLinkLocationMalariaMapsMentorsMentorshipMethodsMigrantModelingMovementMultiple drug resistant Mycobacteria TuberculosisMycobacterium tuberculosisPatternPharmaceutical PreparationsPhysiciansPopulationPopulation GeneticsPredispositionProcessPublic HealthPublic Health SchoolsResearchResearch ActivityRuralSamplingScienceScientistSouth AfricaSpecific qualifier valueSurveysTestingTrainingTraining ActivityTuberculosisUncertaintyUnited States National Institutes of HealthWidespread DiseaseWorkantimicrobial resistant infectioncareercareer developmentco-infectiondrug testingepidemiology studyexperienceforginggenetic signaturegenomic datagenomic epidemiologyhealth care deliveryhigh riskimprovedinfectious disease modelinnovationinsightinterdisciplinary approachmathematical modelmicrobialmicrobial genomicsmultiple data sourcesnew epidemicnovelnovel strategiesnovel therapeuticspreventpublic health relevancepublic health researchresistant strainrural arearural-urban migrationskillsspatial epidemiologysurveillance strategytransmission processurban area
National Institute of Allergy and Infectious Diseases
CFDA Code
855
DUNS Number
005492160
UEI
JZ8RQC4EMDZ5
Project Start Date
02-August-2022
Project End Date
31-July-2026
Budget Start Date
01-August-2024
Budget End Date
31-July-2025
Project Funding Information for 2024
Total Funding
$193,752
Direct Costs
$179,400
Indirect Costs
$14,352
Year
Funding IC
FY Total Cost by IC
2024
National Institute of Allergy and Infectious Diseases
$193,752
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 5K08AI166125-03
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
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Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 5K08AI166125-03
Clinical Studies
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History
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