School of International Development, University of East Anglia, Norwich, Norfolk, UK.
Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, UK.
Gerontologist. 2021 Feb 23;61(2):141-144. doi: 10.1093/geront/gnaa153.
For all health conditions, reliable age-disaggregated data are vital for both epidemiological analysis and monitoring the relative prioritization of different age groups in policy responses. This is especially essential in the case of Coronavirus Disease-2019 (COVID-19), given the strong association between age and case fatality. This paper assesses the availability and quality of age-based data on reported COVID-19 cases and deaths for low- and middle-income countries. It finds that the availability of reliable data which permit specific analyses of older people is largely absent. The paper explores the potential of excess mortality estimates as an alternative metric of the pandemic's effects on older populations. Notwithstanding some technical challenges, this may offer a better approach, especially in countries where cause of death data are unreliable.
对于所有健康状况,可靠的年龄分类数据对于流行病学分析和监测政策反应中不同年龄组的相对优先次序都至关重要。考虑到年龄与病死率之间的强烈关联,在 2019 年冠状病毒病(COVID-19)的情况下,这一点尤其重要。本文评估了低收入和中等收入国家报告的 COVID-19 病例和死亡的基于年龄的数据的可用性和质量。它发现,缺乏可靠的数据,这些数据允许对老年人进行具体分析。本文探讨了超额死亡率估计作为评估大流行对老年人口影响的替代指标的潜力。尽管存在一些技术挑战,但这可能是一种更好的方法,尤其是在死因数据不可靠的国家。