Problems of Data Availability and Quality for COVID-19 and Older People in Low- and Middle-Income Countries
Autor: | Peter Lloyd-Sherlock, Martin McKee, Lucas Sempé, Aravinda Meera Guntupalli |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
Coronavirus disease 2019 (COVID-19) media_common.quotation_subject Developing country Ageism 03 medical and health sciences 0302 clinical medicine Environmental health Case fatality rate Pandemic Epidemiology medicine Humans Quality (business) 030212 general & internal medicine AcademicSubjects/SOC02600 Developing Countries Aged Cause of death media_common Aged 80 and over Data Low- and middle-income countries Forum SARS-CoV-2 COVID-19 General Medicine Geography Income Metric (unit) Geriatrics and Gerontology Gerontology 030217 neurology & neurosurgery |
Zdroj: | The Gerontologist |
ISSN: | 1758-5341 0016-9013 |
DOI: | 10.1093/geront/gnaa153 |
Popis: | 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. |
Databáze: | OpenAIRE |
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