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Problems of Data Availability and Quality for COVID-19 and Older People in Low- and Middle-Income Countries

Peter Lloyd-Sherlock*, Lucas Sempe, Martin McKee, Aravinda Guntupalli

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)
13 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)141-144
Number of pages4
JournalGerontologist
Volume61
Issue number2
Early online date6 Oct 2020
DOIs
Publication statusPublished - 1 Mar 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Ageism
  • COVID-19
  • Data
  • Low- and middle-income countries

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