What you will learn: Basic concepts, theories, and operations in GIS Hands-on experiences of mainstream GIS software Ability of spatial thinking and reasoning Knowledge for advanced GIS courses
Dr. Liang Mao just received a UF Informatics Institute Seed Fund 2016 grant for his new project “Developing temporally comparable high resolution rurality maps for social and health sciences”. The project will run from September 2016 to August 2017. Dr. Mao will investigate the concept of ‘rurality’ has been widely used by policy makers and governments at […]
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MAO – Potential selection bias associated with using geocoded birth records for epidemiologic research Sandie Ha, Hui Hu, Liang Mao, Dikea Roussos-Ross, Jeffrey Roth, Xiaohui Xu Article first published online: 04 Feb 2016 Annals of Epidemiology DOI: 10.1016/j.annepidem.2016.01.002 ABSTRACT: Purpose There is an increasing use of geocoded birth registry data in environmental epidemiology research. Ungeocoded records […]
The University of Florida is looking for a new faculty member in the area of ‘Health and Social Change in Africa’. This preeminence position is for exceptional candidates at the Assistant level, or Associate or Full Professors. This position would be in the College of Liberal Arts and Sciences (CLAS) which is home to many departments, […]
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MAO – An individual-based rurality measure and its health application: A case study of Latino immigrants in North Florida, USA Liang Mao, Jeanne-Marie R. Stacciarini, Rebekah Smith, Brenda Wiens Article first published online: 02 November 2015 Social Science & Medicine DOI: 10.1016/j.socscimed.2015.10.064 ABSTRACT: Rurality has been frequently noted by researchers as pathways to understand human health […]
This is a methodology-oriented course that focuses on designing and implementing GIS-based models to address health and healthcare issues, such as: suitability models, landscape epidemiology models, disease diffusion models, health accessibility and optimization models, etc.
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Basic concepts, theories, and operations in GIS Hands-on experiences of mainstream GIS software Ability of spatial thinking and reasoning Knowledge for advanced GIS courses
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MAO – Predicting Self-Initiated Preventive Behavior Against Epidemics with an Agent-Based Relative Agreement Model Liang Mao Article first published online: 31 Oct 2015 Journal of Artificial Societies and Social Simulation DOI: 10.18564/jasss.2892 ABSTRACT: Human self-initiated behavior against epidemics is recognized to have significant impacts on disease spread. A few epidemic models have incorporated self-initiated behavior, and most of […]
Mao, L., Wu, X., Huang, ZJ., Tatem, A. (2015). Modeling monthly flows of global air travel passengers: an open-access data resource. Journal of Transport Geography 48: 52-60. (doi:10.1016/j.jtrangeo.2015.08.017)
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Associate Professor Undergraduate Coordinator liangmao@ufl.edu Tel: (352) 294-7516 (Office) Personal Website; Google Scholar; Curriculum Vita Focus Areas Focus Area 2: Medical Geography in Global Health (MGGH) Focus Area 3: Places, Networks, & Flows Research Statement My research aims to offer better understandings on the human-disease system with geospatial science approaches and technologies. My research interests focus on: […]