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Geographic Access To Pediatric Ecmo And Ecpr: A Geospatial Study Of Transport Networks And Disparities., Allan M. Joseph, Andrew J. Lautz, Carlie N. Myers, Ranjit S. Chima, Juan P. Gurria, Shafee Salloum, Wendy Hasson, Matthew P. Malone, Jenna Miller, Maya L. Dewan
Geographic Access To Pediatric Ecmo And Ecpr: A Geospatial Study Of Transport Networks And Disparities., Allan M. Joseph, Andrew J. Lautz, Carlie N. Myers, Ranjit S. Chima, Juan P. Gurria, Shafee Salloum, Wendy Hasson, Matthew P. Malone, Jenna Miller, Maya L. Dewan
Manuscripts, Articles, Book Chapters and Other Papers
BACKGROUND AND AIM: Extracorporeal membrane oxygenation (ECMO) can help children survive severe cardiac and/or respiratory failure, but it is only provided in specialized centers. There are disparities in access by ground transport to ECMO services, but it is unknown to what extent interfacility transfer systems can expand access. Additionally, the number of children who live in proximity to centers that perform extracorporeal cardiopulmonary resuscitation (ECPR) to be potential candidates in case of out-of-hospital cardiac arrest (OHCA) is unknown. We conducted a geospatial analysis to answer these questions.
METHODS: We conducted a geospatial analysis of the Extracorporeal Life Support Organization (ELSO) …
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 …