Peer-reviewed articles
(★: Joint first authors/Equal contribution; Graduate advisees are underlined)
[27] Luan H, Li G, Duncan DT, Sullivan P, and Ransome Y. Spatial accessibility of pre-exposure prophylaxis (PrEP): different measure choices and the implications for examining its association with social determinants of health. Annals of Epidemiology (in press). Link
[26] Zhang S★, Luan H★, Kong Y, Xi G, and Zhen F. Does online food delivery improve equity of food accessibility? A case study of Nanjing, China. Journal of Transport Geography, 2023; 107: 103516. Link
[25] Luan H and Ransome Y. County-level spatiotemporal patterns of new HIV diagnosis and pre-exposure prophylaxis (PrEP) use in Mississippi, 2014-2018: a Bayesian analysis of publicly accessible censored data. Annals of Association of American Geographers, 2023; 113(1): 129-148. Link
[24] Zhou Y, Zhu L, Matyas CJ, Luan H, and J Tang. Assessing environmental conditions associated with spatially varying rainfall structure of North Atlantic tropical cyclones: An object-based climatological analysis. International Journal of Climatology (In press). Link
[23] Ransome Y★, Luan H★, Dean LT, Quick H, Nassau T, and Brady KA. Is race-specific neighborhood social cohesion key to reducing racial disparities in late HIV diagnosis: A multiyear ecological study. Spatial and Spatio-temporal Epidemiology, 2022; 42: 100508. Article awarded for Health Equity Research Excellence at Yale University. Link
[22] Luan H and Zhang S. Jointly modeling bus and taxi ridership: A Bayesian multivariate spatial analysis accounting for cross-ridership correlation. Transactions in GIS, 2022; 26(4): 2099-2119. Link
[21] Song I and Luan H. The spatially and temporally varying association between mental illness and substance use mortality and unemployment: a Bayesian analysis in the contiguous United States, 2001-2014. Applied Geography, 2022; 140: 102664. Link
[20] Luan H and Daniel Fuller. Urban form in Canada at a small-area level: quantifying “compactness” and “sprawl” with Bayesian multivariate spatial factor analysis. Environment and Planning B: Urban Analytics and City Science, 2022; 49(4): 1300-1313. Link
[19] Tobin M, Hajna S, Orychock K,…, Muhajarine N, Luan H, and Fuller D. Rethinking walkability and developing a conceptual definition of active living environments to guide research and practice. BMC Public Health, 2022; 22: 450. Link
[18] Ransome Y, Luan H, Song I, Fiellin D, and Galea S. Poor mental health days are associated with COVID-19 infection rates in the USA. American Journal of Preventive Medicine, 2022; 62(3): 326-332. Article featured in Elsevier.com, AJPM News pages, EurekAlert, and AlphaGalileo. Link
[17] Luan H, Song I, Fiellin D, and Ransome Y. HIV infection prevalence significantly intersects with COVID-19 infection at the area-level: a USA county-level analysis. Journal of Acquired Immune Deficiency Syndrome, 2021; 88(2): 125-131. Link
[16] Fuller D, Anaraki JR, Simango Bo, Rayner M, Dorani F, Bozorgi A, Luan H, and Basset F. Predicting lying, sitting, walking, and running using Apple Watch and Fitbit data. BMJ Open Sport & Exercise Medicine, 2021; 7(1): e001004. Link
[15] Quick M and Luan H. The spatial structure of socioeconomic advantage: a Bayesian multivariate spatial factor analysis. International Journal of Geographical Information Science, 2021; 35(1): 63-83. Link
[14] Fuller D, Colwell E, Low Johnathan, Orychock K, Tobin MA, Simango B, Buote R, Van Heerden D, Luan H, Cullen K, Slade L, and Taylor NGA. Reliability and validity of commercially available wearable devices for measuring steps, energy expenditure, and heart rate: systematic review. JMIR mHealth and uHealth, 2020; 8(9): e18694. Link
[13] Ransom Y★, Luan H★, Shi X, Duncan D.T, and Subramanian S.V. Alcohol outlet density and area-level heavy drinking are independent risk factors for higher alcohol-related complaints. Journal of Urban Health, 2019; 96(6): 889-901. Link
[12] Hanning R, Luan H, Orava T, Valaitis R, Jung J, Ahmed R. Exploring Student Food Behaviour in Relation to Food Retail over the Time of Implementing Ontario’s School Food and Beverage Policy. International Journal of Environmental Research and Public Health, 2019; 16(14), 2563. Link
[11] Fuller D, Luan H, Buote R, and Auchincloss A. Impact of a Public Transit Strike on Public Bicycle Share Use: An interrupted time series natural experiment study. Journal of Transport & Health, 2019; 13: 137-142. Link
[10] Luan H, Ramsay D, and Fuller D. Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: A Bayesian spatial analysis. I_nternational Journal of Health Geographics_, 2019; 18:4. Link
[9] Kestens Y, Winters M, Fuller D, …, Luan H, …, Thierry B, Thigpen C, and Wasfi R. INTERACT: A comprehensive approach to assess urban form interventions through natural experiments. BMC Public Health, 2019; 19:51. Link
[8] Luan H, Law J, and Lysy M. Diving into the consumer nutrition environment: a Bayesian spatial factor analysis of neighborhood restaurant environment. Spatial and Spatio-temporal Epidemiology, 2018; 24: 39-51. Link
[7] Perlman CM, Law J, Luan H, Rios S, Seitz D, Stolee P. Geographic Clustering of Admissions to Inpatient Psychiatry among Adults with Cognitive Disorders in Ontario, Canada: Does Distance to Hospital Matter?. Canadian Journal of Psychiatry, 2018; 63(6): 404-409. Link
[6] Quick M, Law J, and Luan H. The influence of on-premise and off-premise alcohol outlets on reported violent crime in the Region of Waterloo, Ontario: Applying Bayesian spatial modeling to inform land use planning and policy. Applied Spatial Analysis and Policy, 2017; 10(3): 435-454. Link
[5] Luan H, Minaker L, and Law J. Do marginalized neighborhoods have less healthy retail food environments? An analysis using Bayesian spatial latent factor and hurdle models. International Journal of Health Geographics, 2016; 15:29. Link
[4] Luan H★, Quick M★, and Law J. Analyzing local spatio-temporal patterns of police calls-for-service using Bayesian Integrated Nested Laplace Approximation, ISPRS International Journal of Geo-Information, 2016; 5(9), 162. Link
[3] Du Q, Zhang M, Li Y, Luan H, Liang S, and Ren F. Spatial patterns of Ischemic Heart Disease in Shenzhen, China: A Bayesian multi-disease modeling approach to inform health planning policies. International Journal of Environmental Research and Public Health, 2016; 13(4), 436. Link
[2] Luan H, Law J, and Quick M. Identifying food deserts and swamps based on relative healthy food access: a spatio-temporal Bayesian approach. International Journal of Health Geographics, 2015; 14:37. Link
[1] Luan H and Law J. Web GIS-based Public Health Surveillance Systems: A systematic review. ISPRS International Journal of Geo-information, 2014; 3(2):481-506. Link