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Full-Text Articles in Geographic Information Sciences
Examining The Effectiveness Of “Turn Around Don’T Drown”, Chance D. Bryant
Examining The Effectiveness Of “Turn Around Don’T Drown”, Chance D. Bryant
LSU Master's Theses
Extreme heat is the deadliest weather hazard in the U.S. Flooding is the second worst, and flash flooding is the deadliest form of flooding. The nature of these flood deaths contains a human element that deserves greater study. Since 2004, the National Weather Service has attempted to educate the public with its slogan, ``Turn Around Don’t Drown". Vehicle related mortality rates in Texas since 1996 were examined to answer the question of whether ``Turn Around Don’t Drown" has been effective. The slogan has a large footprint on the social media platform Twitter, with most of the Tweets coming from private …
Predictive Modeling Of Fmol Health System Utilization Using Machine Learning Algorithms And Retrospective Study Of Covid Tested Patients, Ramyakrishna Tummala
Predictive Modeling Of Fmol Health System Utilization Using Machine Learning Algorithms And Retrospective Study Of Covid Tested Patients, Ramyakrishna Tummala
LSU Master's Theses
Overutilization of Emergency Departments (ED) is a major problem among the health care providers in the United States. In this research, a machine learning-based predictive model for predicting ED high utilizers will be designed based on a set of existing and proposed facilities and the population and social determinant of health (SDOH) factors influencing utilization. The purpose of the model will be to alert the healthcare systems and government organizations by identifying the reasons for overutilization of the medical services among the people in a particular community. Also, the novel coronavirus disease 2019 (COVID-19) developed in Whunan city, China has …
Mapping Louisiana's Missing: Spatiotemporal Profiling Of Louisiana's Missing Persons- An Experimental Application Of Geographic Information Systems And Forensic Anthropology, Liam J. Johnson
LSU Master's Theses
The growing number of unresolved unidentified and missing persons cases in the United States is this nation’s ‘silent mass disaster’ (Ritters, 2007). In addition to contextualizing biocultural traits of these cases, forensic anthropologists are uniquely qualified to address this underrecognized humanitarian crisis due to their proven ability to bridge conflicting stakeholders in often complex sociopolitical environments and to create improved opportunities for community collaboration. This project explores local and state demographic trends of missing persons cases and how this information can be used to assist investigative agencies with their missing population, analyzes gaps in identification data, and selects optimal locations …