2025
Integrating genomic and spatial analyses to describe tuberculosis transmission: a scoping review
Lan Y, Rancu I, Chitwood M, Sobkowiak B, Nyhan K, Lin H, Wu C, Mathema B, Brown T, Colijn C, Warren J, Cohen T. Integrating genomic and spatial analyses to describe tuberculosis transmission: a scoping review. The Lancet Microbe 2025, 6: 101094. PMID: 40228509, PMCID: PMC12371702, DOI: 10.1016/j.lanmic.2025.101094.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsGenome sequencing approachGenetic similarityGenomic dataSequencing approachGenotyping methodsPathogen geneticsGenetic methodsPathogen sequencesSampling completenessTuberculosis isolatesTransmission patternsTuberculosis casesPathogensTuberculosis transmissionM tuberculosis isolatesInfection-related mortalityEnvironmental factorsTuberculosis transmission dynamicsSpatial proximityTransmission clustersGenomeSpatial patternsTuberculosisTransmission dynamicsGeneticsDistribution and transmission of M. tuberculosis in a high-HIV prevalence city in Malawi: A genomic and spatial analysis
Chitwood M, Corbett E, Ndhlovu V, Sobkowiak B, Colijn C, Andrews J, Burke R, Cudahy P, Dodd P, Imai-Eaton J, Engelthaler D, Folkerts M, Feasey H, Lan Y, Lewis J, McNichol J, Menzies N, Chipungu G, Nliwasa M, Weinberger D, Warren J, Salomon J, MacPherson P, Cohen T. Distribution and transmission of M. tuberculosis in a high-HIV prevalence city in Malawi: A genomic and spatial analysis. PLOS Global Public Health 2025, 5: e0004040. PMID: 40173177, PMCID: PMC11964229, DOI: 10.1371/journal.pgph.0004040.Peer-Reviewed Original ResearchHigh HIV prevalence citiesTime of tuberculosisPoor health outcomesCity-wide interventionsTransmission of M. tuberculosisHealth outcomesTargeted interventionsHighest tuberculosis burdenTargeted screeningGeneral populationGeographic concentrationSurveillance dataCommunity characteristicsTuberculosis burdenLocal tacticsBlantyreWhole-genome sequencingInfectious tuberculosisCulture-positive tuberculosis casesInterventionMalawiSustained impactTreated individualsCityEvidence of local transmission
2024
Identifying local foci of tuberculosis transmission in Moldova using a spatial multinomial logistic regression model
Lan Y, Crudu V, Ciobanu N, Codreanu A, Chitwood M, Sobkowiak B, Warren J, Cohen T. Identifying local foci of tuberculosis transmission in Moldova using a spatial multinomial logistic regression model. EBioMedicine 2024, 102: 105085. PMID: 38531172, PMCID: PMC10987885, DOI: 10.1016/j.ebiom.2024.105085.Peer-Reviewed Original ResearchConceptsPatterns of spatial aggregationMTB strainsMDR-TBLogistic regression modelsGenome Epidemiology StudySpecific strainsMultidrug-resistant tuberculosisTreated TB casesNational Institute of AllergyMDR phenotypeRegression modelsM. tuberculosisInstitute of AllergyMultinomial logistic regression modelUS National Institutes of HealthNational Institutes of HealthMDR diseasePublic health concernAssociated with local transmissionIncident TBInstitutes of HealthMtbResistant tuberculosisStrainDiagnosing TBA web-based analytical framework for the detection and visualization space-time clusters of COVID-19
Lan, Y. and Delmelle, E., 2024. A web-based analytical framework for the detection and visualization space-time clusters of COVID-19. Cartography and Geographic Information Science, 51(2), pp.311-329.Peer-Reviewed Original Research
2023
Space-time cluster detection techniques for infectious diseases: A systematic review.
Lan Y, Delmelle E. Space-time cluster detection techniques for infectious diseases: A systematic review. Spat Spatiotemporal Epidemiol 2023, 44: 100563. PMID: 36707196, DOI: 10.1016/j.sste.2022.100563.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2022
Uncertainty in geospatial health: challenges and opportunities ahead
Delmelle, E.M., Desjardins, M.R., Jung, P., Owusu, C., Lan, Y., Hohl, A. and Dony, C., 2022. Uncertainty in geospatial health: challenges and opportunities ahead. Annals of epidemiology, 65, pp.15-30.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2021
Geovisualization of COVID-19: State of the Art and Opportunities
Lan, Y., Desjardins, M. R., Hohl, A., & Delmelle, E. (2021). Geovisualization of COVID-19: State of the Art and Opportunities. Cartographica: The International Journal for Geographic Information and Geovisualization, 56(1), 2-13.Peer-Reviewed Original ResearchNDS: an interactive, web-based system to visualize urban neighborhood dynamics in United States
Lan, Y., Delmelle, E. and Delmelle, E., 2021. NDS: an interactive, web-based system to visualize urban neighborhood dynamics in United States. Journal of Maps, 17(1), pp.62-70.Peer-Reviewed Original Research
2020
Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States
Hohl, A., Delmelle, E. M., Desjardins, M. R., & Lan, Y. (2020). Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States. Spatial and spatio-temporal epidemiology, 34, 100354.Peer-Reviewed Original ResearchA web-based spatial decision support system for monitoring the risk of water contamination in private wells
Lan, Y., Tang, W., Dye, S., & Delmelle, E. (2020). A web-based spatial decision support system for monitoring the risk of water contamination in private wells. Annals of GIS, 26(3), 293-309.Peer-Reviewed Original Research
2017
Geocoding fundamentals and associated challenges
Owusu, C., Lan, Y., Zheng, M., Tang, W. and Delmelle, E., 2017. Geocoding fundamentals and associated challenges. Geospatial data science techniques and applications, 118, pp.41-62.Chapters
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