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- COVID-19 (2)
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Articles 1 - 7 of 7
Full-Text Articles in Entire DC Network
Preferences Of Health Professions Learners: A Scoping Review Of The Use And Role Of Dces In Health Professions Education, Sarah O'Neal, Natalie Smith, Jan Ostermann Ph.D., Binbin Zheng, Laiton Steele, Chris Gillette
Preferences Of Health Professions Learners: A Scoping Review Of The Use And Role Of Dces In Health Professions Education, Sarah O'Neal, Natalie Smith, Jan Ostermann Ph.D., Binbin Zheng, Laiton Steele, Chris Gillette
Faculty Publications
While discrete choice experiments (DCE), have increasingly been used in the medical literature, little is known about the use of these methods for eliciting preferences from and about students and trainees in health professions. The objectives of this scoping review are to (1) describe the extent to which DCEs have been used in health professions’ education, (2) identify which health professionals have been studied, and (3) identify thematic areas of research in which these methods have been used thematic areas. Between June and September 2024, we conducted a scoping review of the PubMed/Medline, EconLit, Web of Science, and Global Index …
Urban School Neighbourhoods Dominated By Unhealthy Food Retailers And Advertisements In Greater Tunis: A Geospatial Study In The Midst Of The Nutrition Transition, Christelle Akl, Nehmat El-Helou, Gloria Safadi, Aline Semaan, Aya El Sammak, Tarek Trabelsi, Sonia Sassi, Chaza Akik, Jalila El Ati, Pierre Traissac, Hala Ghattas Ph.D.
Urban School Neighbourhoods Dominated By Unhealthy Food Retailers And Advertisements In Greater Tunis: A Geospatial Study In The Midst Of The Nutrition Transition, Christelle Akl, Nehmat El-Helou, Gloria Safadi, Aline Semaan, Aya El Sammak, Tarek Trabelsi, Sonia Sassi, Chaza Akik, Jalila El Ati, Pierre Traissac, Hala Ghattas Ph.D.
Faculty Publications
Objective:
Food environments are a major determinant of children’s nutritional status. Scarce evidence on food environments exists in low- and middle-income countries (LMIC). This study aims to fill this gap by documenting the obesogenicity of food environments around schools in Greater Tunis, Tunisia – an LMIC of the Middle East and North Africa region with an ongoing nutrition transition and increasing rates of childhood obesity.
Design:
In this cross-sectional study, we assessed built food environments around fifty primary schools. Ground-truthing was performed to collect geographic coordinates and pictures of food retailers and food advertisement sets within an 800-m road network …
Projecting The Effects Of Climate Change And Urbanization On Longleaf Pine Stands In The Florida Flatwoods, Lilian Grace Hutchens
Projecting The Effects Of Climate Change And Urbanization On Longleaf Pine Stands In The Florida Flatwoods, Lilian Grace Hutchens
Theses and Dissertations
The southeastern United States once held millions of hectares of highly connected longleaf pine ecosystem. In a dramatic range reduction, longleaf pine now occupies less than 5% of its original extent, its remnant patches existing within a matrix of human-dominated land uses. Conservation planning for longleaf pine ecosystems is complicated given the ecosystem’s reliance on fire and the broad spatial and temporal scales at which longleaf pine management must operate. Planning timelines for longleaf pine management extend into the end of the 21st century, a period during which climate, fire regimes, and land cover are all expected to change, influencing …
Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole Hair, Nicholas Yell, Zhenlong Li, Shan Qiao Ph.D., Xiaoming Li Ph.D.
Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole Hair, Nicholas Yell, Zhenlong Li, Shan Qiao Ph.D., Xiaoming Li Ph.D.
Faculty Publications
Disparities and their geospatial patterns exist in morbidity and mortality of COVID-19 patients. When it comes to the infection rate, there is a dearth of research with respect to the disparity structure, its geospatial characteristics, and the pre-infection determinants of risk (PIDRs). This work aimed to assess the temporal-geospatial associations between PIDRs and COVID-19 infection at the county level in South Carolina. We used the spatial error model (SEM), spatial lag model (SLM), and conditional autoregressive model (CAR) as global models and the geographically weighted regression model (GWR) as a local model. The data were retrieved from multiple sources including …
Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole L. Hair, Nicholas Yell, Zhenlong Li, Shan Qiao, Chen Liang, Xiaoming Li
Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole L. Hair, Nicholas Yell, Zhenlong Li, Shan Qiao, Chen Liang, Xiaoming Li
Faculty Publications
Disparities and their geospatial patterns exist in morbidity and mortality of COVID-19 patients. When it comes to the infection rate, there is a dearth of research with respect to the disparity structure, its geospatial characteristics, and the pre-infection determinants of risk (PIDRs). This work aimed to assess the temporal–geospatial associations between PIDRs and COVID-19 infection at the county level in South Carolina. We used the spatial error model (SEM), spatial lag model (SLM), and conditional autoregressive model (CAR) as global models and the geographically weighted regression model (GWR) as a local model. The data were retrieved from multiple sources including …
Introduction To Big Data Computing For Geospatial Applications, Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook, Qingfeng Guan
Introduction To Big Data Computing For Geospatial Applications, Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook, Qingfeng Guan
Faculty Publications
The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates the opportunities for using big data for geospatial applications. Crucial to the advancements highlighted here is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. This editorial first introduces the background and motivation of this …
Hepatitis B, C Virus And Hiv Co-Infection Among Reported Female Cases In South Carolina, 2004 - 2011: An Epidemiological Analysis Of Pregnancy Outcomes, Afiba Manza-Azele Agovi
Hepatitis B, C Virus And Hiv Co-Infection Among Reported Female Cases In South Carolina, 2004 - 2011: An Epidemiological Analysis Of Pregnancy Outcomes, Afiba Manza-Azele Agovi
Theses and Dissertations
HIV, hepatitis B and C virus (HBV, HCV) are three of the most common blood-borne infections and they continue to be a major public health problem in the United States (US) and globally. It is not well understood if maternal infection with either HBV or HCV has an adverse impact on pregnancy outcomes as findings from previous studies have provided some mixed results. The overall goal of this study was to assess the risk of preterm birth, low birth weight (LBW), small for gestational age (SGA) and admission into neonatal intensive care unit (NICU) for babies born to HBV- and …