Total Excess Mortality Surveillance for Real-Time Decision-Making in Disasters and Crises
Document Type
Journal Article
Publication Date
3-13-2023
Journal
Disaster medicine and public health preparedness
Volume
17
DOI
10.1017/dmp.2023.15
Keywords
crisis intervention; disasters; excess mortality; real-time; surveillance
Abstract
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.
APA Citation
Santos-Burgoa, Carlos; Garcia-Meza, Alejandra; Talayero, Maria Jose; Kuenster, Nolan; Goldman Hawes, Ann S.; and Andrade, Elizabeth, "Total Excess Mortality Surveillance for Real-Time Decision-Making in Disasters and Crises" (2023). GW Authored Works. Paper 2593.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/2593
Department
Global Health