Problems of Data Availability and Quality for COVID-19 and Older People in Low- and Middle-Income Countries
Problems of Data Availability and Quality for COVID-19 and Older People in Low- and Middle-Income Countries
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DOI：
10.1093/geront/gnaa153
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发表时间：
2021-03-01
期刊：
影响因子：
5.7
通讯作者：
Guntupalli, Aravinda
中科院分区：
文献类型：
--
作者：
Lloyd-Sherlock, Peter;Sempe, Lucas;Guntupalli, Aravinda
对于所有健康状况，可靠的按年龄分类的数据对于流行病学分析和监测不同年龄组在政策反应中的相对优先顺序至关重要。鉴于年龄与病死率之间存在密切关联，这一点对于 2019 年冠状病毒病 (COVID-19) 尤为重要。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。研究发现，基本上缺乏能够对老年人进行具体分析的可靠数据。该论文探讨了超额死亡率估计作为衡量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，但这可能提供更好的方法，特别是在死因数据不可靠的国家。
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.