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A01=and Medicine
A01=Board on Health Sciences Policy
A01=Committee on Best Practices for Assessing Mortality and Significant Morbidity Following Large-Scale Disasters
A01=Engineering
A01=Health and Medicine Division
A01=National Academies of Sciences
Age Group_Uncategorized
Age Group_Uncategorized
Author_and Medicine
Author_Board on Health Sciences Policy
Author_Committee on Best Practices for Assessing Mortality and Significant Morbidity Following Large-Scale Disasters
Author_Engineering
Author_Health and Medicine Division
Author_National Academies of Sciences
automatic-update
B01=Daniel L. Cork
B01=Ellen J. MacKenzie
B01=Olivia C. Yost
B01=Scott H. Wollek
Category1=Non-Fiction
Category=MMK
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€50 to €100
PS=Active
softlaunch

A Framework for Assessing Mortality and Morbidity After Large-Scale Disasters

In the wake of a large-scale disaster, from the initial devastation through the long tail of recovery, protecting the health and well-being of the affected individuals and communities is paramount. Accurate and timely information about mortality and significant morbidity related to the disaster are the cornerstone of the efforts of the disaster management enterprise to save lives and prevent further health impacts. Conversely, failure to accurately capture mortality and significant morbidity data undercuts the nation's capacity to protect its population. Information about disaster-related mortality and significant morbidity adds value at all phases of the disaster management cycle. As a disaster unfolds, the data are crucial in guiding response and recovery priorities, ensuring a common operating picture and real-time situational awareness across stakeholders, and protecting vulnerable populations and settings at heightened risk.

A Framework for Assessing Mortality and Morbidity After Large-Scale Disasters reviews and describes the current state of the field of disaster-related mortality and significant morbidity assessment. This report examines practices and methods for data collection, recording, sharing, and use across state, local, tribal, and territorial stakeholders; evaluates best practices; and identifies areas for future resource investment.

Table of Contents
  • Front Matter
  • Summary
  • 1 Introduction
  • 2 Value and Use of Mortality and Morbidity Data
  • 3 Operational Considerations for Individual Counts of Mortality and Morbidity
  • 4 Analytical Considerations for Population Estimates of Mortality and Morbidity
  • 5 Meeting the Mission
  • Appendix A: Preliminary Literature Review Strategy
  • Appendix B: Public Workshop Agendas
  • Appendix C: Assessing Morbidity and Mortality Associated with the COVID-19 Pandemic: A Case Study Illustrating the Need for the Recommendations in This Report
  • Appendix D: Integrating Community Vulnerabilities into the Assessment of Disaster-Related Morbidity and Mortality: Two Illustrative Case Studies
  • Appendix E: Committee and Staff Biographical Sketches
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A01=and MedicineA01=Board on Health Sciences PolicyA01=Committee on Best Practices for Assessing Mortality and Significant Morbidity Following Large-Scale DisastersA01=EngineeringA01=Health and Medicine DivisionA01=National Academies of SciencesAge Group_UncategorizedAuthor_and MedicineAuthor_Board on Health Sciences PolicyAuthor_Committee on Best Practices for Assessing Mortality and Significant Morbidity Following Large-Scale DisastersAuthor_EngineeringAuthor_Health and Medicine DivisionAuthor_National Academies of Sciencesautomatic-updateB01=Daniel L. CorkB01=Ellen J. MacKenzieB01=Olivia C. YostB01=Scott H. WollekCategory1=Non-FictionCategory=MMKCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Dimensions: 152 x 229mm
  • Publication Date: 25 Dec 2020
  • Publisher: National Academies Press
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9780309680257

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