The southeastern United States experiences some of the greatest tornado fatality rates in the world, with a peak in the western portion of the state of Tennessee. Understanding the physical and social characteristics of the area that may lead to increased fatalities is a critical research need. Residents of 12 Tennessee counties from three regions of the state (N = 1804) were asked questions about their perception of climatological tornado risk in their county. Approximately half of participants underestimated their local tornado risk calculated from 50 years of historical tornado data. The percentage of participants underestimating their climatological risk increased to 81% when using model estimates of tornado frequencies that account for likely missed tornadoes. A mixed effects, ordinal logistic regression model suggested that participants with prior experience with tornadoes are more likely to correctly estimate or overestimate (rather than underestimate) their risk compared to those lacking experience (β = 0.52, p < 0.01). Demographic characteristics did not have a large influence on the accuracy of climatological tornado risk perception. Areas where more tornadoes go unreported may be at a disadvantage for understanding risk because residents' prior experience is based on limited observations. This work adds to the literature highlighting the importance of personal experiences in determining hazard risk perception and emphasizes the uniqueness of tornadoes, as they may occur in rural areas without knowledge, potentially prohibiting an accumulation of experiences.
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Tech Coloproctol
December 2024
Department of Epidemiology, Deventer Hospital, Schalkhaar, The Netherlands.
Background And Study Aim: Local resection of early rectal cancer is being increasingly used. With invasion of the muscularis propria layer of the rectal wall, the risk of lymph node metastasis becomes too high to consider this the optimal oncological treatment. Therefore, a diagnosis of muscular invasion is important before attempting local resection; however, endoscopic and magnetic resonance imaging (MRI) images have limitations, such as overstaging (26-31%).
View Article and Find Full Text PDFVet Microbiol
November 2024
Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN 55108, USA.
Porcine epidemic diarrhea (PED) and Porcine reproductive and respiratory syndrome (PRRS) are viral diseases that continue to challenge the US swine industry. Despite many known risk factors, unusual circumstances associated with their occurrence continues to be poorly explained. We investigated if extreme weather events (flood, heavy rain, high wind and tornadoes, measured at a county-level) are associated with the occurrence of both diseases up to ten weeks after the occurrence of the weather event using a case control study and logistic regression modeling to control for covariates.
View Article and Find Full Text PDFInt J Disaster Risk Reduct
September 2023
Appalachian Energy Center, Appalachian State University, Boone, NC, USA.
Extreme weather events endanger critical health infrastructure, and many individuals rely on infrastructure to meet their basic needs, such as heat, water, and medical devices. The purpose of this study is to identify spatially explicit at-risk populations for power outages due to these extreme weather events. To accomplish this, we used the HHS emPOWER Emergency Planning Dataset, which was created to help public health authorities plan for and address the needs of communities.
View Article and Find Full Text PDFJAMA Netw Open
August 2024
Hiram C. Polk Jr Department of Surgery, Division of Pediatric Surgery, University of Louisville School of Medicine, and Norton Children's Hospital, Louisville, Kentucky.
Importance: Extreme weather has major implications for state and national health care systems; however, statistics examining weather-related injuries and fatalities are limited.
Objective: To examine the frequency and regional distribution of major disaster events (MDEs) in the US.
Design, Setting, And Participants: This ecologic cross-sectional study of MDEs occurring between January 1, 2006, and December 31, 2021, evaluated US data on all injuries and fatalities included in the National Oceanic and Atmospheric Administration National Centers for Environmental Information Storm Events Database.
J Racial Ethn Health Disparities
August 2024
Department of Finance, California State University Fullerton, Fullerton, CA, USA.
During the COVID-19 pandemic, climate-related natural hazards, such as wildfires, storms/hurricanes, and others (e.g., earthquakes, tornadoes), further disrupted the normal functioning of US residents.
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