Yu Lan
Postdoctoral AssociateDownloadHi-Res Photo
About
Titles
Postdoctoral Associate
Biography
Dr. Lan is a spatial epidemiologist and health geographer who works on understanding and visualizing space-time transmission patterns in infectious diseases such as COVID-19 and tuberculosis. She is particularly interested on combining genomic (i.e., WGS) and spatial methods to further recognize strains associated transmission patterns.
Appointments
Departments & Organizations
Education & Training
- PhD
- University of North Carolina at Charlotte, Geography
- MA
- University of North Carolina at Charlotte, Geography
Research
Overview
Public Health Interests
Disease Transmission; GIS/Disease Mapping; COVID-19
ORCID
0000-0003-0373-1944- View Lab Website
Ted Cohen Lab
Research at a Glance
Publications Timeline
A big-picture view of Yu Lan's research output by year.
9Publications
Publications
Featured Publications
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.H., Sobkowiak, B., Warren, J.L. and Cohen, T., 2024. Identifying local foci of tuberculosis transmission in Moldova using a spatial multinomial logistic regression model. eBioMedicine, 102.Peer-Reviewed Original ResearchA 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 ResearchGeovisualization 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 ResearchSpace-time cluster detection techniques for infectious diseases: A systematic review
Lan, Y. and Delmelle, E., 2023. Space-time cluster detection techniques for infectious diseases: A systematic review. Spatial and Spatio-temporal Epidemiology, 44, p.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
NDS: 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
Academic Achievements & Community Involvement
honor SISMID Scholarship
Other AwardSummer Institute in Statistics and Modeling in Infectious DiseasesDetails04/24/2024honor Student Honors Paper Competition Finalist
Other AwardGeographic Information Science and Systems Specialty Group, American Association of GeographersDetails03/24/2023honor Dissertation Summer Fellowship
Other AwardGraduate School, UNC CharlotteDetails05/01/2022United Stateshonor Robert Raskin Student Competition Finalist
Other AwardCyberinfrastructure Specialty Group, American Association of GeographersDetails03/01/2022honor David Woodward Digital Map Award
Other AwardThe Cartography and Geographic Information SocietyDetails04/10/2021United States
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Locations
Public Health Modeling Unit
Academic Office
350 George Street
New Haven, CT 06511