grant

Analyzing Spatial Movement Patterns and Transmission Hotspots to Inform Targeted Case-Finding Interventions in KwaZulu-Natal, South Africa

Organization COLUMBIA UNIVERSITY HEALTH SCIENCESLocation NEW YORK, UNITED STATESPosted 1 Sept 2025Deadline 26 Sept 2026
NIHUS FederalResearch GrantFY2025AIDS VirusAcquired Immune Deficiency Syndrome VirusAcquired Immunodeficiency Syndrome VirusAddressAgeAreaBacteriologyCaliberCommunicable DiseasesCommunitiesComprehensionCross-Product RatioDataDevelopmentDimensionsEarly identificationEarly treatmentEnrollmentEpidemiologic MethodologyEpidemiologic MethodsEpidemiologic ResearchEpidemiologic StudiesEpidemiologic research methodologyEpidemiologic research methodsEpidemiological MethodsEpidemiological StudiesEpidemiological TechniquesEpidemiologyEpidemiology ResearchExhibitsFailureFrequenciesFutureGenderGenomicsGoalsHIVHIV/MtbHIV/TBHIV/mycobacterium tuberculosisHIV/tuberculosisHeterogeneityHigh PrevalenceHouseholdHumanHuman Immunodeficiency VirusesIncidenceIndividualInfectious DiseasesInfectious DisorderInstitutionInterventionInvestigatorsKnowledgeLAV-HTLV-IIILearningLinkLocationLymphadenopathy-Associated VirusM tbM tuberculosisM tuberculosis infectionM. tbM. tb infectionM. tuberculosisM. tuberculosis infectionM. tuberculosis/HIVM.tb infectionM.tuberculosis infectionMTB infectionMapsMeasuresMentorshipMethodsMethods EpidemiologyMethods in epidemiologyModern ManMolecularMolecular EpidemiologyMovementMycobacterium tuberculosisMycobacterium tuberculosis (MTB) infectionMycobacterium tuberculosis infectionNIAIDNational Institute of Allergy and Infectious DiseaseOdds RatioParentsPatientsPatternPersonsProbabilistic ModelsProbability ModelsProcessQuestionnairesRecommendationRelative OddsResearchResearch PersonnelResearch ResourcesResearchersResourcesRisk RatioRoleSelection BiasShapesSingle Base PolymorphismSingle Nucleotide PolymorphismSiteSouth AfricaStatistical ModelsTB infectionTarget PopulationsTimeTrainingTransmissionTuberculosisUniversitiesUrban CommunityVirus-HIVVisitWorkagesbacterial genome sequencingbacterial whole genome sequencingbody movementcareercase findingcase-basedco-infectioncoinfectioncommunity settingcommunity spreadcommunity transmissioncommunity-level spreadcommunity-level transmissiondevelopmentaldisseminated TBdisseminated tuberculosisearly therapyenrollepidemiologicepidemiologic investigationepidemiologicalepidemiology studyexperiencegenomic datagenomic datasethigh riskinfection due to Mycobacterium tuberculosisinfection rateinnovateinnovationinnovativeinsightmethods to study multiple-level influencesmtbmulti-level analysismulti-level modelmultilevel analysismultilevel modelmultilevel modelingparentperi-urbanperiurbanpopulation basedpopulation healthprogramsrate of infectionresearch data disseminationresearch disseminationresidenceresidential buildingresidential sitescreeningscreeningssingle nucleotide variantskillssocial epidemiologysocial rolespatial epidemiologystatistical linear mixed modelsstatistical linear modelstransmission processtuberculosis infectiontuberculous spondyloarthropathy
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Full Description

PROJECT SUMMARY/ABSTRACT
Background. Global tuberculosis (TB) incidence has only decreased incrementally – despite concerted efforts

to understand TB transmission patterns in high-prevalence settings. As TB exhibits pronounced spatial

heterogeneity in high-incidence settings like South Africa, spatially targeted case-finding approaches may be

effective. Although the underlying processes giving rise to spatial heterogeneity remain unclear, individual

mobility and assortative patterns likely underlie areas of heightened TB transmission. Understanding spatial

mobility patterns may provide insights into the mechanisms that generate and interconnect hotspots within a

community, guiding future active case-finding approaches. Aims. In line with NIAID Strategic Priorities for

Tuberculosis Research, this study will 1) characterize forms of spatial mobility and their association with recent

transmission and 2) examine the relationship between spatial mobility subclasses and community-based TB

transmission hotspots. Elucidating these gaps will advance our understanding of local transmission and inform

the development of targeted case-finding interventions to curb ongoing TB transmission in endemic settings.

Approach. Since there is a limited understanding of the mobility patterns of TB patients, this research will use

detailed mobility data (i.e., the frequency, duration, and spatial dimensions) from TARGET-TB, an ongoing

population-based epidemiologic study that enrolls all incident TB cases identified in a peri-urban community in

KwaZulu-Natal, South Africa, to identify individuals, groups, and places where control efforts may be targeted.

Furthermore, advances in genomic statistical modeling have greatly enhanced our understanding of transmission

linkages at various spatial scales. This contextual setting presents a unique opportunity to combine detailed

spatial mobility data with bacterial whole genome sequencing data to understand the relationship between spatial

mobility and recent transmission and identify transmission hotspots. The overarching goal is to provide insights

into local transmission mechanisms to inform targeted case-finding strategies. Training. Ms. Bezuidenhout’s

training plan leverages her quantitative abilities and TB research experience to advance her skills and launch

her career as an independent investigator focused on spatial mobility and TB transmission. Her training goals

are to develop in-depth knowledge of spatial mobility, advance her expertise in molecular epidemiology and TB

transmission inference, learn advanced epidemiologic techniques for missing data, and build capacity for

effective research dissemination. Under the guidance of her Primary Sponsor, Ms. Bezuidenhout will receive

tailored mentorship from a team of experienced TB researchers who work with the parent study, conduct spatial-

and molecular-focused research, and have tremendous expertise in the requisite quantitative methods. Training

will take place at Columbia University, a high-caliber institution with specialized research programs in population

health, infectious disease, and spatial and social epidemiology.

Grant Number: 1F31AI186450-01A1
NIH Institute/Center: NIH

Principal Investigator: Dana Bezuidenhout

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