Liang Mao
Dados Biográficos
| ID | 3582703 |
|---|---|
| NOME | Liang Mao |
| PRENOMES | Liang |
| SOBRENOME | Mao |
| ASSINATURA | MAO L |
| AFILIAÇÕES | University of Florida |
| ORCID | 0000-0002-7363-0308 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 22 |
| TOTAL DE CITAÇÕES | 66 |
| TOTAL COMO AUTOR | 22 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2011 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 4 |
Spatio-temporal sensitivity of healthcare accessibility
Mapping large-scale brand networks
Human exposure risk via algae-induced transfer of tritiated water in the marine food chain
Modeling time-varying spatial accessibility to healthcare
Daily rhythm of urban space usage
As urban density increases, it becomes increasingly common for multiple functions to coexist within the same space, intensifying the complexity of human activity dynamics. However, traditional urban zoning, which relies on the spatial distribution of urban functions and human activities, focuses on the spatial heterogeneity of urban space and fails to capture the temporal dynamics of urban space usage. This paper aims to investigate the daily rhy…
Spatial equity in healthcare access
Combinational Recommendation of Vaccinations, Mask-Wearing, and Home-Quarantine to Control Influenza in Megacities
The outbreak of COVID-19 stimulated a new round of discussion on how to deal with respiratory infectious diseases. Influenza viruses have led to several pandemics worldwide. The spatiotemporal characteristics of influenza transmission in modern cities, especially megacities, are not well-known, which increases the difficulty of influenza prevention and control for populous urban areas. For a long time, influenza prevention and control measures ha…
Enhancing the Retail Food Environment Index (RFEI) with Neighborhood Commuting Patterns
The Retail Food Environment Index (RFEI) and its variants have been widely used in public health to measure people's accessibility to healthy food. These indices are purely environmental as they only concern the geographic distribution of food retailers, but fail to include human factors, such as demographics, socio-economy, and mobility, which also shape the food environment. The exclusion of human factors limits the explanatory power of RFEIs i…
Determinants of travel mode choice for seeking healthcare
Inferring transit-based health seeking patterns from smart card data – A case study in Beijing, China
Optimal recommendation in two-player bargaining games
A GIS-Based Artificial Neural Network Model for Spatial Distribution of Tuberculosis across the Continental United States
Despite the usefulness of artificial neural networks (ANNs) in the study of various complex problems, ANNs have not been applied for modeling the geographic distribution of tuberculosis (TB) in the US. Likewise, ecological level researches on TB incidence rate at the national level are inadequate for epidemiologic inferences. We collected 278 exploratory variables including environmental and a broad range of socio-economic features for modeling t…
Continuous Rural-Urban Coding for Cancer Disparity Studies
Background : The dichotomization or categorization of rural-urban codes, as nominal variables, is a prevailing paradigm in cancer disparity studies. The paradigm represents continuous rural-urban transition as discrete groups, which results in a loss of ordering information and landscape continuum, and thus may contribute to mixed findings in the literature. Few studies have examined the validity of using rural-urban codes as continuous variables…
Who and Where
Social and spatial characteristics of a population often interact to influence health outcomes, suggesting a need to jointly analyze both to offer useful insights in community health. However, researchers have used either social or spatial analyses to examine community-based health issues and inform intervention programs. We propose a combined socio-spatial analytic approach to develop a social network with spatial weights and a spatial statistic…
Understanding temporal change of spatial accessibility to healthcare
Predicting Self-Initiated Preventive Behavior Against Epidemics with an Agent-Based Relative Agreement Model
Human self-initiated behavior against epidemics is recognized to have significant impacts on disease spread. A few epistemic models have incorporated self-initiated behavior, and most of them are based on a classic population-based approach, which assumes a homogeneous population and a perfect mixing pattern, thus failing to capture heterogeneity among individuals, such as their responsive behavior to diseases. This article proposes an agent-base…
Modeling monthly flows of global air travel passengers
The global flow of air travel passengers varies over time and space, but analyses of these dynamics and their integration into applications in the fields of economics, epidemiology and migration, for example, have been constrained by a lack of data, given that air passenger flow data are often difficult and expensive to obtain. Here, these dynamics are modeled at a monthly scale to provide an open-access spatio-temporally resolved data source for…
An individual-based rurality measure and its health application
Measuring spatial accessibility to healthcare for populations with multiple transportation modes
Modeling Individual Vulnerability to Communicable Diseases
Reports on dangerous communicable diseases, such as severe acute respiratory syndrome (SARS) and H1N1 flu, have repeatedly stressed the importance of individuals in disease transmission. Still in its infancy, individual-based modeling faces many challenges. From the perspective of modeling approaches, this article explores (1) the framework of a three-population (daytime, nighttime, and pastime population) and two-scale (local and societal scale)…
Coupling infectious diseases, human preventive behavior, and networks - A conceptual framework for epidemic modeling
Agent-based simulation for weekend-extension strategies to mitigate influenza outbreaks
This research is the first attempt to incorporate the weekend effect into influenza mitigation strategies. The results suggest that appropriate extensions of the regular two-day weekend can be a potential measure to fight against influenza outbreaks, while minimizing interruptions on normal rhythms of socio-economy. The concept of weekend extension would be particularly useful if there were a lack of vaccine stockpiles, e.g., in countries with li…
Measuring spatial accessibility to healthcare for populations with multiple transportation modes
Modeling Individual Vulnerability to Communicable Diseases
Reports on dangerous communicable diseases, such as severe acute respiratory syndrome (SARS) and H1N1 flu, have repeatedly stressed the importance of individuals in disease transmission. Still in its infancy, individual-based modeling faces many challenges. From the perspective of modeling approaches, this article explores (1) the framework of a three-population (daytime, nighttime, and pastime population) and two-scale (local and societal scale)…
An individual-based rurality measure and its health application
Modeling monthly flows of global air travel passengers
The global flow of air travel passengers varies over time and space, but analyses of these dynamics and their integration into applications in the fields of economics, epidemiology and migration, for example, have been constrained by a lack of data, given that air passenger flow data are often difficult and expensive to obtain. Here, these dynamics are modeled at a monthly scale to provide an open-access spatio-temporally resolved data source for…
Determinants of travel mode choice for seeking healthcare
Inferring transit-based health seeking patterns from smart card data – A case study in Beijing, China
Understanding temporal change of spatial accessibility to healthcare
Coupling infectious diseases, human preventive behavior, and networks - A conceptual framework for epidemic modeling
Human exposure risk via algae-induced transfer of tritiated water in the marine food chain
Modeling time-varying spatial accessibility to healthcare
Spatial equity in healthcare access
Agent-based simulation for weekend-extension strategies to mitigate influenza outbreaks
This research is the first attempt to incorporate the weekend effect into influenza mitigation strategies. The results suggest that appropriate extensions of the regular two-day weekend can be a potential measure to fight against influenza outbreaks, while minimizing interruptions on normal rhythms of socio-economy. The concept of weekend extension would be particularly useful if there were a lack of vaccine stockpiles, e.g., in countries with li…
Modeling Individual Vulnerability to Communicable Diseases
Reports on dangerous communicable diseases, such as severe acute respiratory syndrome (SARS) and H1N1 flu, have repeatedly stressed the importance of individuals in disease transmission. Still in its infancy, individual-based modeling faces many challenges. From the perspective of modeling approaches, this article explores (1) the framework of a three-population (daytime, nighttime, and pastime population) and two-scale (local and societal scale)…
Coupling infectious diseases, human preventive behavior, and networks - A conceptual framework for epidemic modeling
Measuring spatial accessibility to healthcare for populations with multiple transportation modes
Predicting Self-Initiated Preventive Behavior Against Epidemics with an Agent-Based Relative Agreement Model
Human self-initiated behavior against epidemics is recognized to have significant impacts on disease spread. A few epistemic models have incorporated self-initiated behavior, and most of them are based on a classic population-based approach, which assumes a homogeneous population and a perfect mixing pattern, thus failing to capture heterogeneity among individuals, such as their responsive behavior to diseases. This article proposes an agent-base…
Modeling monthly flows of global air travel passengers
The global flow of air travel passengers varies over time and space, but analyses of these dynamics and their integration into applications in the fields of economics, epidemiology and migration, for example, have been constrained by a lack of data, given that air passenger flow data are often difficult and expensive to obtain. Here, these dynamics are modeled at a monthly scale to provide an open-access spatio-temporally resolved data source for…
An individual-based rurality measure and its health application
Who and Where
Social and spatial characteristics of a population often interact to influence health outcomes, suggesting a need to jointly analyze both to offer useful insights in community health. However, researchers have used either social or spatial analyses to examine community-based health issues and inform intervention programs. We propose a combined socio-spatial analytic approach to develop a social network with spatial weights and a spatial statistic…
Understanding temporal change of spatial accessibility to healthcare
A GIS-Based Artificial Neural Network Model for Spatial Distribution of Tuberculosis across the Continental United States
Despite the usefulness of artificial neural networks (ANNs) in the study of various complex problems, ANNs have not been applied for modeling the geographic distribution of tuberculosis (TB) in the US. Likewise, ecological level researches on TB incidence rate at the national level are inadequate for epidemiologic inferences. We collected 278 exploratory variables including environmental and a broad range of socio-economic features for modeling t…
Continuous Rural-Urban Coding for Cancer Disparity Studies
Background : The dichotomization or categorization of rural-urban codes, as nominal variables, is a prevailing paradigm in cancer disparity studies. The paradigm represents continuous rural-urban transition as discrete groups, which results in a loss of ordering information and landscape continuum, and thus may contribute to mixed findings in the literature. Few studies have examined the validity of using rural-urban codes as continuous variables…
Inferring transit-based health seeking patterns from smart card data – A case study in Beijing, China
Optimal recommendation in two-player bargaining games
Determinants of travel mode choice for seeking healthcare
Combinational Recommendation of Vaccinations, Mask-Wearing, and Home-Quarantine to Control Influenza in Megacities
The outbreak of COVID-19 stimulated a new round of discussion on how to deal with respiratory infectious diseases. Influenza viruses have led to several pandemics worldwide. The spatiotemporal characteristics of influenza transmission in modern cities, especially megacities, are not well-known, which increases the difficulty of influenza prevention and control for populous urban areas. For a long time, influenza prevention and control measures ha…
Enhancing the Retail Food Environment Index (RFEI) with Neighborhood Commuting Patterns
The Retail Food Environment Index (RFEI) and its variants have been widely used in public health to measure people's accessibility to healthy food. These indices are purely environmental as they only concern the geographic distribution of food retailers, but fail to include human factors, such as demographics, socio-economy, and mobility, which also shape the food environment. The exclusion of human factors limits the explanatory power of RFEIs i…
Daily rhythm of urban space usage
As urban density increases, it becomes increasingly common for multiple functions to coexist within the same space, intensifying the complexity of human activity dynamics. However, traditional urban zoning, which relies on the spatial distribution of urban functions and human activities, focuses on the spatial heterogeneity of urban space and fails to capture the temporal dynamics of urban space usage. This paper aims to investigate the daily rhy…
Spatial equity in healthcare access
Mapping large-scale brand networks
Human exposure risk via algae-induced transfer of tritiated water in the marine food chain
Modeling time-varying spatial accessibility to healthcare
Spatio-temporal sensitivity of healthcare accessibility
Computer Science (15 obras) · Geography (14 obras) · Urban Transport and Accessibility (12 obras) · Medicine (11 obras) · Environmental health (7 obras) · Health care (7 obras) · Cartography (6 obras) · Economics (6 obras) · Engineering (6 obras) · Health disparities and outcomes (6 obras)