The George Washington University.
Independent Consultant.
Disaster Med Public Health Prep. 2023 Mar 13;17:e350. doi: 10.1017/dmp.2023.15.
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.
危机事件,如飓风玛丽亚和 2019 冠状病毒病(COVID-19)大流行,揭示了死亡人数报告不及时会导致干预措施不足、影响沟通,并对应对机构产生不信任。由于对灾难归因死亡的定义存在争议以及缺乏从不完善的卫生系统基础设施中快速收集生命统计数据,导致死亡率的确定出现延迟。随时可用的死亡人数,结合地理、人口和社会经济数据,可以作为建立连续死亡率监测系统的基线。在紧急情况下,实时全因、超额死亡率(TEM)可以成为一个关键工具,为当局提供及时的信息,确保有针对性的响应,并减少灾害的影响。TEM 测量可以识别死亡率的上升,包括地理差异和弱势群体中不成比例的死亡。本研究建议,将全因、超额死亡率的测量作为第一响应线,应成为衡量灾害影响的全球标准。