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Enhancing Special Pathogen Preparedness Through Exercises: Navigating Dual Quarantine Activations.

Health Secur

December 2024

Morgan A. Shradar, MPH, RN, is a Nursing Professional Development Specialist, and Jackson Gruber is Regional Special Pathogens Program Coordinator; Regional Emerging Special Pathogen Treatment Center, Nebraska Medicine, Omaha, NE. Michael C. Wadman, MD, is Medical Director, National Quarantine Unit, and Professor and Chair, Department of Emergency Medicine; John J. Lowe, PhD, is Director, Global Center for Health Security, and Chair, Department of Environmental, Agricultural, and Occupational Health, College of Public Health; Shelly M. Schwedhelm, MSN, RN, NEA-BC, is Associate Director, Global Center for Health Security; James Lawler, MD, MPH, FIDSA, is the Woody and Paula Varner Professor and Associate Director for International Programs and Innovation, Global Center for Health Security, and Professor, Division of Infectious Diseases; Christopher J. Kratochvil, MD, is Distinguished Chair, Global Center for Health Security, and Vice Chancellor for External Relations; and Angela Vasa, MSN, RN, is Director, Biopreparedness and Special Pathogen Programs, Nebraska Medicine, Director, Readiness Consultations and Metrics Development, National Emerging Special Pathogens Training and Education Center (NETEC), and Scholar, Global Center for Health Security; all at the University of Nebraska Medical Center, Omaha, NE. Dwight Ferguson, PhD, MS, REHS/RS, MT(ASCP), is a Lieutenant Commander, US Public Health Service, and Regional Emergency Coordinator, Region VII, Regional Response Office; and Joe Lamana, MPA, is Director of International Operations; both at the Administration for Strategic Preparedness and Response, Washington, DC. Jill S. Cunningham, MBA, MPH, is a Management Analyst, Operational Medicine Directorate, Bureau of Medical Services, US Department of State, Washington DC.

This case study describes findings from an exercise conducted in April 2023 to assess the readiness of the National Quarantine Unit (NQU) and identify opportunities for improvement. The exercise is part of a multiyear effort to assess the readiness of quarantine and transport capabilities at the NQU through annual workshops, discussion-based exercises, and functional and full-scale exercises. The April 2023 exercise tested interagency coordination and decisionmaking, transport of individuals for monitoring, quarantine unit operations, and escalation of care for symptomatic individuals out of quarantine to high-level isolation units in the United States.

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  • * By sequencing 52% of confirmed cases, researchers uncovered key sublineages of the mpox virus and found evidence of early emergence and spread in Portugal, particularly among men who have sex with men.
  • * The findings emphasize the importance of sexual networks and events like saunas in the virus's spread, showcasing genomic epidemiology as a valuable tool for monitoring and controlling mpox outbreaks and informing vaccine strategies.
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The complex, unpredictable nature of pathogen occurrence has required substantial efforts to accurately predict infectious diseases (IDs). With rising popularity of Machine Learning (ML) and Deep Learning (DL) techniques combined with their unique ability to uncover connections between large amounts of diverse data, we conducted a PRISMA systematic review to investigate advances in ID prediction for human and animal diseases using ML and DL. This review included the type of IDs modeled, ML and DL techniques utilized, geographical distribution, prediction tasks performed, input features utilized, spatial and temporal scales, error metrics used, computational efficiency, uncertainty quantification, and missing data handling methods.

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Texas is a geographically large state with large human and livestock populations, many farms, a long coastal region, and extreme fluctuations in weather. During the last 15 years, the state of Texas has frequently suffered disasters or catastrophes causing extensive morbidity and economic loss. These disasters often have complicated consequences requiring multi-faceted responses.

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Our study assesses whether factors related to healthcare access in the first year of the pandemic affect mortality and length of stay (LOS). Our cohort study examined hospitalized patients at Nebraska Medicine between April and October 2020 who were tested for SARS-CoV-2 and had a charted sepsis related diagnostic code. Multivariate logistic was used to analyze the odds of mortality and linear regression was used to calculate the parameter estimates of LOS associated with COVID-19 status, age, gender, race/ethnicity, median household income, admission month, and residential distance from definitive care.

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