A5080717937- COVID-19 epidemiological studies
- Urban Transport and Accessibility
- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
- Health disparities and outcomes
- Heavy metals in environment
- Environmental Changes in China
- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Soil Carbon and Nitrogen Dynamics
- Mosquito-borne diseases and control
- Hydrology and Sediment Transport Processes
- Geological formations and processes
- Remote Sensing and LiDAR Applications
- Migration, Aging, and Tourism Studies
- Animal Disease Management and Epidemiology
- Complex Network Analysis Techniques
- COVID-19 Digital Contact Tracing
- Nuclear and radioactivity studies
- Mental Health Research Topics
- Graphite, nuclear technology, radiation studies
- Disaster Management and Resilience
- Coastal and Marine Dynamics
- Textile materials and evaluations
- Regional Economic and Spatial Analysis
University of Florida
2016-2025
Guangxi Maternal and Child Health Hospital
2024
Sichuan University of Science and Engineering
2023
National Institute for Radiological Protection
2019-2022
China Resources (China)
2020
United Imaging Healthcare (China)
2020
Sun Yat-sen University
2020
University of Colorado Denver
2020
University of Colorado Cancer Center
2020
Hubei Provincial Women and Children's Hospital
2020
Despite the usefulness of artificial neural networks (ANNs) in study various complex problems, ANNs have not been applied for modeling geographic distribution tuberculosis (TB) US. Likewise, ecological level researches on TB incidence rate at national are inadequate epidemiologic inferences. We collected 278 exploratory variables including environmental and a broad range socio-economic features disease across continental The spatial pattern was statistically evaluated using global Moran’s I,...
The lowermost Mississippi River (LMR) is important to the environment and economy of continental United States. Although bathymetric data have been collected over many decades at numerous cross-sectional sounding points, there has no consensus on appropriate interpolator for generating bathymetry. Such interpolation critical reliable assessments channel morphology change, which serve dredging, engineering projects, mapping navigation hazards. This study aimed identify an optimal spatial...
The global flow of air travel passengers varies over time and space, but analyses these dynamics their integration into applications in the fields economics, epidemiology migration, for example, have been constrained by a lack data, given that passenger data are often difficult expensive to obtain. Here, modeled at monthly scale provide an open-access spatio-temporally resolved source research purposes (www.vbd-air.com/data). By refining annual-scale model Huang et al. (2013), we developed...
Before herd immunity against Coronavirus disease 2019 (COVID-19) is achieved by mass vaccination, science-based guidelines for non-pharmaceutical interventions are urgently needed to reopen megacities. This study integrated massive mobile phone tracking records, census data and building characteristics into a spatially explicit agent-based model simulate COVID-19 spread among 11.2 million individuals living in Shenzhen City, China. After validation local epidemiological observations, the was...
Abstract As urban density increases, it becomes increasingly common for multiple functions to coexist within the same space, intensifying complexity of human activity dynamics. However, traditional zoning, which relies on spatial distribution and activities, focuses heterogeneity space fails capture temporal dynamics usage. This paper aims investigate daily rhythm usage illustrate how combination affect rhythm. Taking Beijing in China as a case, we first identified with k-means algorithm...
Twenty-four million people in the United States have limited English proficiency. They experience barriers to health care because of their inability communicate effectively with providers. Hospitals are required provide language services that reflect needs communities, but these not available systematically.
Visceral leishmaniasis (VL) is an important neglected disease caused by a protozoan parasite, and represents serious public health problem in many parts of the world. It zoonotic Europe Latin America, where infected dogs constitute main domestic reservoir for parasite play key role VL transmission to humans. In Brazil this Leishmania infantum chagasi, transmitted sand fly Lutzomyia longipalpis. Despite programs aimed at eliminating infection sources, continues spread throughout Country. São...
Although the topography of tidal flats is important for understanding their evolution, spatial and temporal sampling frequency such data remains limited. The waterline method has potential to retrieve past flat by utilizing large archives satellite images. This study performs a quantitative analysis relationship between accuracy digital elevation models (DEMs) that are based on factors influence DEMs. three major conclusions as follows: (1) coverage rate points number images used create DEM...
Abstract It remains unclear on how PM 2.5 interacts with other air pollutants and meteorological factors at different temporal scales, while such knowledge is crucial to address the pollution issue more effectively. In this study, we explored interaction various taking city of Nanjing, China as a case study. The ensemble empirical mode decomposition (EEMD) method was applied decompose time series data , five pollutants, six factors, well their correlations were examined daily monthly scales....
Economic impacts of seasonal influenza vary across US counties, but little estimation has been conducted at the county level. This research computed annual economic costs for 3143 counties based on Census 2010, identified inherent spatial patterns, and investigated cost-benefits vaccination strategies. The computing model modified existing methods national level estimation, further emphasized variations between in terms population size, age structure, activity, income Upon such a model, four...
China has proposed an ambitious high-speed rail (HSR) program by 2030 to connect all provincial capitals (excluding Lhasa) and large cities with more than half million people. Little attention been paid evaluate its potential impacts on ground transportation accessibility. To answer this question, we adopted a door-to-door approach calculate two indicators: the weighted average travel time daily The results show that HSR network follows same spatial patterns of population size regional...