Total Excess Mortality Surveillance for Real-Time Decision-Making in Disasters and Crises
Crises such as Hurricane Maria and the coronavirus disease 2019 (COVID-19) pandemic have revealed that untimely reporting of the death toll results in inadequate interventions, impacts communication, and fuels distrust on response agencies. Delays in establishing mortality are due to the contested d...
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Veröffentlicht in: | Disaster medicine and public health preparedness 2023-03, Vol.17, p.e350-e350, Article e350 |
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creator | Santos-Burgoa, Carlos Garcia-Meza, Alejandra Talayero, Maria Jose Kuenster, Nolan Goldman Hawes, Ann S. Andrade, Elizabeth |
description | Crises such as Hurricane Maria and the coronavirus disease 2019 (COVID-19) pandemic have revealed that untimely reporting of the death toll results in inadequate interventions, impacts communication, and fuels distrust on response agencies. Delays in establishing mortality are due to the contested definition of deaths attributable to a disaster and lack of rapid collection of vital statistics data from inadequate health system infrastructure. Readily available death counts, combined with geographic, demographic, and socioeconomic data, can serve as a baseline to build a continuous mortality surveillance system. In an emergency setting, real-time Total, All-cause, Excess Mortality (TEM) can be a critical tool, granting authorities timely information ensuring a targeted response and reduce disaster impact. TEM measurement can identify spikes in mortality, including geographic disparities and disproportionate deaths in vulnerable populations. This study recommends that measuring total, all-cause, excess mortality as a first line of response should become the global standard for measuring disaster impact. |
doi_str_mv | 10.1017/dmp.2023.15 |
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Delays in establishing mortality are due to the contested definition of deaths attributable to a disaster and lack of rapid collection of vital statistics data from inadequate health system infrastructure. Readily available death counts, combined with geographic, demographic, and socioeconomic data, can serve as a baseline to build a continuous mortality surveillance system. In an emergency setting, real-time Total, All-cause, Excess Mortality (TEM) can be a critical tool, granting authorities timely information ensuring a targeted response and reduce disaster impact. TEM measurement can identify spikes in mortality, including geographic disparities and disproportionate deaths in vulnerable populations. 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Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. (the “License”). 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subjects | Concepts in Disaster Medicine Coronaviruses COVID-19 Cyclonic Storms Decision making Disasters Emergency preparedness Health surveillance Humans Hurricanes Mortality Pandemics Socioeconomic factors Vital statistics |
title | Total Excess Mortality Surveillance for Real-Time Decision-Making in Disasters and Crises |
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