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Tag: Mao

Mapping large-scale brand networks: A consumers’ foot traffic-based approach

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How do brands interact? Commercial brands are increasingly interconnected, forming a complex network. Analyzing brand networks is crucial to understanding brand interactions and developing data-driven marketing strategies. Traditional methods utilize consumer behavior surveys and social media databases to construct brand networks, but few have considered consumers’ spatial mobility – their movements between brand points of […]

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Modeling time-varying spatial accessibility to healthcare

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Mao, L. (2025). Modeling time-varying spatial accessibility to healthcare: A system dynamic approach. Health & Place, 91, 103416. ABSTRACT: Spatial accessibility to healthcare is essential for policymakers to identify health disparities and develop targeted interventions. Current modeling approaches poorly capture temporal dynamics of contributing factors, and few have represented dynamic interactions among these factors. Further, […]

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Identifying Points of Interest as sentinels for infectious disease surveillance

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Du, F., & Mao, L. (2024). Identifying Points of Interest (POIs) as sentinels for infectious disease surveillance: a COVID-19 study. Spatial and Spatio-temporal Epidemiology, 100691, https://doi.org/10.1016/j.sste.2024.10069. ABSTRACT: Traditional surveillance relies on medical facilities, such as clinics and laboratories, as sentinels to monitor disease activities. Few studies have investigated the feasibility of using Point of Interests (POIs) […]

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Daily rhythm of urban space usage: insights from the nexus of urban functions and human mobility

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MAO – Daily rhythm of urban space usage: insights from the nexus of urban functions and human mobility Fangye Du, Jian Kang, Liang Mao, Jiaoe Wang Article first published online: 04 January 2024 DOI: https://doi.org/10.1057/s41599-023-02577-y ABSTRACT: As urban density increases, it becomes increasingly common for multiple functions to coexist within the same space, intensifying the […]

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Enhancing the Retail Food Environment Index (RFEI) with Neighborhood Commuting Patterns: A Hybrid Human−Environment Measure

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GLOVER, MAO, HU, ZHANG – Enhancing the Retail Food Environment Index (RFEI) with Neighborhood Commuting Patterns: A Hybrid Human−Environment Measure Bailey Glover, Liang Mao, Yujie Hu, Jiawen Zhang Article first published online: 30 August 2022 DOI: https://doi.org/10.3390/ijerph191710798 ABSTRACT: The Retail Food Environment Index (RFEI) and its variants have been widely used in public health to […]

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Focus Area 7: Geospatial Analysis & Techniques

Modeling, Measurement, Visualization and Computation: techniques for the collection, analysis, interpretation and display of geospatial data, using tools such as GeoAI, GIS, Remote Sensing, GPS, and Spatial Statistics. Sub Areas GEOAI: Geographic Artificial Intelligence Geographic Information Systems (GIS) Spatio-Temporal analysis Geospatial Modeling Remote Sensing Courses GIS 2002 The Digital Earth GIS 2114 The World &amp […]

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Focus Area 4: Geopolitics & The Global Economy

The turbulence of the current times has dramatically transformed the world’s economic and political geographies. The scale and scope of such changes require urgent attention. Important topics in this arena relate to: globalization and its impact on peoples and places; economic inequalities across geographic scales and borders; terrorism and power; the development of the knowledge-based economy; and […]

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Focus Area 3: Places, Networks, & Flows

Geographers conceive of networks and flows between places as a foundational spatial concept. Geographic information systems (GIS) are the main analytical tools employed in determining relations between individuals, settlements, modes of transport, and infrastructures like power grids, and communication networks. The concepts can also be applied to disease contagion, healthcare service delivery, crime activities, river […]

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Focus Area 2: Medical Geography in Global Health (MGGH)

Medical geography, an important area of health research, applies concepts, methods, and techniques from geography to investigate health-related topics across the world, focusing on spatial aspects of human and animal (livestock and wildlife) disease and health intervention. Sub-areas One Health Risk Mapping Disease Modeling Zoonotic Emergence Spatial Health Disparities Public Health Interventions Spatial Epidemiology Analysis […]

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GEO3452/GEO6451 Introduction to Medical Geography

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GEO3452/6451 Introduction to Medical Geography (Gen-Ed B) Course description: Medical geography deals with human-environment interactions and the influence of these interactions on public health. This course provides a broad-based, comprehensive survey of geographic topics and approaches in medical sciences. Hands-on experiences will be emphasized through GIS labs. Successful students will be able to: Apply geographic […]

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Modeling transit-assisted hurricane evacuation through socio-spatial networks

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MAO – Modeling transit-assisted hurricane evacuation through socio-spatial networks Yan Yang, Sara Metcalf, & Liang Mao Article first published online: 02 Oct 2020 International Journal of Geographical Information Science DOI: 10.1080/13658816.2020.1828590 ABSTRACT: Increasing intensity and frequency of hurricane events underscores the need for efficient and inclusive evacuation plans, particularly for carless and disabled populations. Hurricane […]

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Inferring transit-based health seeking patterns from smart card data – A case study in Beijing, China

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MAO – Inferring transit-based health seeking patterns from smart card data – A case study in Beijing, China Fangye Du, Liang Mao, Jiaoe Wang, Haitao Jin Article first published online: 19 AUG 2020 Health & Place DOI: 10.1016/j.healthplace.2020.102405 ABSTRACT: Massive electronic trip records have recently been utilized to infer people’s trips for healthcare. Many inferential methods […]

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GEO3452-GEO6421 Introduction to Medical Geography

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Course description: Medical geography deals with human-environment interactions and the influence of these interactions on public health. This course provides a broad-based, comprehensive survey of geographic topics and approaches in medical sciences. Hands-on experiences will be emphasized through GIS labs. Successful students will be able to: Apply geographic concepts and principles widely used in medical […]

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Novel Network Approach to Mosquito Control Distribution Yields Insights for a City in Southern Ecuador

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GAINESVILLE, FL – Fighting mosquito-borne disease can be costly – in both health and financial resources. While mosquito control is an effective way to combat the spread of diseases like dengue fever, the cost of spraying every house in a city quickly adds up. These costs limit public health vector control programs, which often operate […]

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A network analysis framework to improve the delivery of mosquito abatement services in Machala, Ecuador

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BLACKBURN, LIPPI, MAO, RYAN – A network analysis framework to improve the delivery of mosquito abatement services in Machala, Ecuador Catherine A. Lippi, Liang Mao, Anna M. Stewart-Ibarra, Naveed Heydari, Efraín Beltrán Ayala, Nathan D. Burkett-Cadena, Jason K. Blackburn & Sadie J. Ryan Article first published online: 11 FEB 2020 International Journal of Health Geographics […]

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Geo3452 Introduction to Medical Geography Fall 2019 – online

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Geo3452 Introduction to Medical Geography Fall 2019 – online Course description: Medical geography deals with human-environment interactions and the influence of these interactions on public health. This course provides a broad-based, comprehensive survey of geographic topics and approaches in medical sciences.  Hands-on experiences will be emphasized through GIS labs. Successful students will be able to: […]

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UFGeog at AAG 2018

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The UF Geography Department is sending a large contingent to New Orleans for the 2018 meeting of the American Association of Geographers Find out where you can see a GeoGator present their research below: Anthropogenic change to fluvial systems, I Geomorphology Specialty Group, Paleoenvironmental Change Specialty Group, Water Resources Specialty Group 4/10/2018 8:20 AM Balcony […]

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Fall Course: GEO3452 GEO6421 Medical Geography

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This course provides a comprehensive survey of geographic topics and approaches in medical sciences, including: human ecology of diseases, research methods, geospatial techniques, landscape epidemiology, weather and climate, pollution issues, urban health, administration and planning, etc. What you will learn: -Basic concepts, principles, and methods that are widely used in medical geography studies; -A variety […]

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Dr. Mao receives UF Informatics Institute Seed Fund grant

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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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Potential selection bias associated with using geocoded birth records for epidemiologic research

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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 […]

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An individual-based rurality measure and its health application: A case study of Latino immigrants in North Florida, USA

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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 […]

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Predicting Self-Initiated Preventive Behavior Against Epidemics with an Agent-Based Relative Agreement Model

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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 […]

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