[15] Luan H. “HIV infection prevalence significantly intersects with COVID-19 infection at the area-level: a USA county-level spatial analysis”. Intersectionality and Public Health Symposium, May 7, Chicago. (Online, peer-reviewed)
[14] Luan H. “Estimating county-level mortality rates using left-censored data: a Bayesian spatiotemporal approach”. SPATIAL ACCURACY 2020, July 7-10, Buffalo, USA. [Cancelled due to COVID-19]
[13] Song I and Luan H. “Does missing data mechanism matter?: Exploring its effect on spatiotemporal data imputation accuracy”. SPATIAL ACCURACY 2020, July 7-10, Buffalo, USA. [Cancelled due to COVID-19]
[12] Luan H, Ransome Y, Nassau T, and Brady K. “Bayesian spatiotemporal models for zero-inflated count data: Exploring the trends of late HIV diagnosis rates among Black/African American population in Philadelphia, 2010-2016”, American Association of Geographers Annual Meeting, April 6-10, 2020, Denver, USA. [Cancelled due to COVID-19]
[11] Song I and Luan H. “Local explanations of individual characteristics and district-level air pollution on low birth weight in South Korea: a Bayesian network approach”. American Association of Geographers Annual Meeting, April 6-10, 2020, Denver, USA. [Cancelled due to COVID-19]
[10] Fuller D, Luan H, Alfosool A, and Chen Y. “Time weighted approaches for combining GPS and area level data to create individual measures”. American Association of Geographers Annual Meeting, April 6-10, 2020, Denver, USA. [Cancelled due to COVID-19]
[9] Luan H. “Imputing censored health data at small-area levels: A Bayesian spatiotemporal modelling approach”, American Association of Geographers Annual Meeting, April 2-7, 2019, Washington DC, USA.
[8] Luan H, Fuller D, and Dorani F. “Urban sprawl in Canada at the Census Tract level: a nationwide spatial analysis”, Small and Adaptive Cities 2017: Sustainable futures in the urban periphery, September 29 to October 1, 2017, St. John’s, Newfoundland, Canada.
[7] Minaker L, Law J, Luan H, and Quick M. “Obesity, its associations with the food environment, and spatio-temporal indicators of the food environment in the Region of Waterloo, Ontario”, Canadian Obesity Summit, April 26-28, 2017, Banff, Alberta, Canada.
[6] Luan H, Quick M, and Law J. “A spatial zero-inflated Poisson model for analyzing violent crime data with zero-inflation”, American Association of Geographers Annual Meeting, April 5-9, 2017, Boston, Massachusetts, USA.
[5] Luan H, Law J, and Quick M. “Local spatio-temporal patterns of relative healthy food access in the Region of Waterloo, Ontario, 2011-2014”, The Ontario Public Health Convention (TOPHC), April 4-6, 2016, Toronto, Canada.
[4] Quick M, Luan H, and Law J. “The influence of alcohol outlet density on violent crime calls-to-police in Waterloo Region: A Bayesian spatial analysis”, Canadian Association of Geographers Annual Meeting, June 1-5, 2015, Vancouver, Canada.
[3] Luan H, Law J, and Minaker L. “Diving into the consumer nutrition environment: a retail food environment index based on spatial Bayesian factor analysis at a small-area level”, American Association of Geographers Annual Meeting, April 21-25, 2015, Chicago, Illinois, USA.
[2] Luan H and Quick M. “Is neighborhood socioeconomic status associated with fast food accessibility? A spatial analysis of the Region of Waterloo”, Canadian Association of Geographers – Ontario Division (CAGONT), Critical Human and Physical Geographies, October 24-25, 2014, York University, Toronto, Canada.
[1] Luan H and Law J. “Web GIS in Public Health Surveillance and Planning”, Canadian Association of Geographers Annual Meeting, May 28 – June 2, 2012, Waterloo, Canada.
