2021
DOI: 10.1016/s2666-7568(21)00115-x
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A call for standardised age-disaggregated health data

Abstract: Summary The 2030 Sustainable Development Goals agenda calls for health data to be disaggregated by age. However, age groupings used to record and report health data vary greatly, hindering the harmonisation, comparability, and usefulness of these data, within and across countries. This variability has become especially evident during the COVID-19 pandemic, when there was an urgent need for rapid cross-country analyses of epidemiological patterns by age to direct public health action, but such analys… Show more

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Cited by 61 publications
(40 citation statements)
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“…To conclude, our study highlights the importance of collecting, reporting and analysing unbiased sex-disaggregated data. Our results also expose a distinct lack of age by sex data collection and reporting [ 97 ]. Finally, through our quality assessment, we also highlight the need for improved statistical methods and reporting.…”
Section: Discussionmentioning
confidence: 86%
“…To conclude, our study highlights the importance of collecting, reporting and analysing unbiased sex-disaggregated data. Our results also expose a distinct lack of age by sex data collection and reporting [ 97 ]. Finally, through our quality assessment, we also highlight the need for improved statistical methods and reporting.…”
Section: Discussionmentioning
confidence: 86%
“…Others have propounded that the current lack of COVID-19 disentangled data will increase the existing sex and gender data gaps, which in turn will increase gender disparities in the health and socioeconomic effects of the pandemic, with a negative impact on females 4 . Various experts worldwide have advocated the need to produce and standardise age-disaggregated health data to improve usability and cross-country comparison 5 . They have showcased that failing to do so results in misinterpreting the patterns of SARS-CoV-2 transmission among and beyond the cohort of children, the process of prioritizing vaccination, and the inspection of the secondary effects.…”
Section: Background and Summarymentioning
confidence: 99%
“…This draws on freely available national level population data, mostly from government sources and official statistics. As far as we can, we reproduce the data using the quinary age bands for 10–24 year olds (10–14, 15–19, 20–24) to enable us to map trends across adolescence and early adulthood 4…”
Section: Methodsmentioning
confidence: 99%