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Critical Findings on COVID-19 Select Publications from the National Academies of Sciences, Engineering, and Medicine (2021) / Chapter Skim
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A Framework for Assessing Mortality and Morbidity After Large-Scale Disasters
Pages 139-142

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From page 139...
... Stafford Disaster Relief and Emergency Assistance Act. KEY FINDINGS In its exploration of the current landscape of practices, systems, and tools for assessing mortality and significant morbidity after large-scale disasters, the committee identified several persistent, systemic challenges, including • pervasive variation across the nation in data collection, recording, and reporting practices for mortality and significant morbidity at state, local, tribal, and territorial (SLTT)
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From page 140...
... . BOX 1 GUIDING SYSTEM PRECEPTS FOR A MORBIDITY AND MORTALITY FRAMEWORK -- ABRIDGED A highly effective system for assessing morbidity and mortality of major disasters would: • Collect and use data for community health protection as an essential component across all phases of disaster management • Incorporate both individual counts and population estimates to better understand a disaster's true effect • Leverage morbidity data as well as mortality data to support response, recovery, mitigation, preparedness, and prevention • Build on and use existing systems, capacities, and methodologies
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From page 141...
... BOX 2 RECOMMENDED IMMEDIATE ACTIONS AND FUTURE PRIORITIES Recommended immediate actions needed to address current gaps in policy, practice, and infra structure for mortality and morbidity assessment include 1. Adoption and use of a uniform framework for collecting, recording, and reporting mortality and morbidity data (Recommendations 2-1 and 2-2)
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From page 142...
... Maureen Lichtveld Federal Emergency Management Agency Johns Hopkins Bloomberg School of Tulane University School of Public Public Health Health and Tropical Medicine Sue Anne Bell Charles Rothwell University of Michigan School of National Center for Health Statistics Nursing (retired)
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  • rothwell university
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  • kahn university
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