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A call for standardised age-disaggregated health data.
Diaz, Theresa; Strong, Kathleen L; Cao, Bochen; Guthold, Regina; Moran, Allisyn C; Moller, Ann-Beth; Requejo, Jennifer; Sadana, Ritu; Thiyagarajan, Jotheeswaran Amuthavalli; Adebayo, Emmanuel; Akwara, Elsie; Amouzou, Agbessi; Aponte Varon, John J; Azzopardi, Peter S; Boschi-Pinto, Cynthia; Carvajal, Liliana; Chandra-Mouli, Venkatraman; Crofts, Sarah; Dastgiri, Saeed; Dery, Jeremiah S; Elnakib, Shatha; Fagan, Laura; Jane Ferguson, B; Fitzner, Julia; Friedman, Howard S; Hagell, Ann; Jongstra, Eduard; Kann, Laura; Chatterji, Somnath; English, Mike; Glaziou, Philippe; Hanson, Claudia; Hosseinpoor, Ahmad R; Marsh, Andrew; Morgan, Alison P; Munos, Melinda K; Noor, Abdisalan; Pavlin, Boris I; Pereira, Rich; Porth, Tyler A; Schellenberg, Joanna; Siddique, Rizwana; You, Danzhen; Vaz, Lara M E; Banerjee, Anshu.
  • Diaz T; Maternal, Newborn, Child and Adolescent Health, and Ageing Department, WHO, Geneva, Switzerland.
  • Strong KL; Maternal, Newborn, Child and Adolescent Health, and Ageing Department, WHO, Geneva, Switzerland.
  • Cao B; Data and Analytics Department, WHO, Geneva, Switzerland.
  • Guthold R; Maternal, Newborn, Child and Adolescent Health, and Ageing Department, WHO, Geneva, Switzerland.
  • Moran AC; Maternal, Newborn, Child and Adolescent Health, and Ageing Department, WHO, Geneva, Switzerland.
  • Moller AB; UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Sexual and Reproductive Health and Research, WHO, Geneva, Switzerland.
  • Requejo J; Division of Data, Analysis, Planning and Monitoring, UNICEF, New York, NY, USA.
  • Sadana R; Maternal, Newborn, Child and Adolescent Health, and Ageing Department, WHO, Geneva, Switzerland.
  • Thiyagarajan JA; Maternal, Newborn, Child and Adolescent Health, and Ageing Department, WHO, Geneva, Switzerland.
  • Adebayo E; Adolescent Health Unit, Institute of Child Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
  • Akwara E; UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Sexual and Reproductive Health and Research, WHO, Geneva, Switzerland.
  • Amouzou A; Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
  • Aponte Varon JJ; Global Malaria Programme, WHO, Geneva, Switzerland.
  • Azzopardi PS; Global Adolescent Health Group, Maternal Child and Adolescent Health Program, Burnet Institute, Melbourne, VIC, Australia.
  • Boschi-Pinto C; Adolescent Health and Wellbeing Program, Wardliparingga Aboriginal Health Equity Theme, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.
  • Carvajal L; Department of Pediatrics, VIC, Australia.
  • Chandra-Mouli V; University of Melbourne, VIC, Australia.
  • Crofts S; Department of Epidemiology and Biostatistics, Fluminense Federal University, Rio de Janeiro, Brazil.
  • Dastgiri S; Division of Data, Analysis, Planning and Monitoring, UNICEF, New York, NY, USA.
  • Dery JS; UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Sexual and Reproductive Health and Research, WHO, Geneva, Switzerland.
  • Elnakib S; Office for National Statistics, London, UK.
  • Fagan L; Tabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Jane Ferguson B; Ghana Statistical Service, Cape Coast, Ghana.
  • Fitzner J; UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Sexual and Reproductive Health and Research, WHO, Geneva, Switzerland.
  • Friedman HS; UN Major Group for Children and Youth, New York, NY, USA.
  • Hagell A; Tannay, Switzerland.
  • Jongstra E; Global Infectious Hazard Preparedness Department, WHO, Geneva, Switzerland.
  • Kann L; UN Population Fund, New York, NY, USA.
  • Chatterji S; Association for Young People's Health, London, UK.
  • English M; UN Population Fund, New York, NY, USA.
  • Glaziou P; Princeton, IL, USA.
  • Hanson C; Data and Analytics Department, WHO, Geneva, Switzerland.
  • Hosseinpoor AR; KEMRI-Wellcome Trust, Nairobi, Kenya.
  • Marsh A; Department of Global Tuberculosis, WHO, Geneva, Switzerland.
  • Morgan AP; Department of Global Public Health, Karolinska Institute, Stockholm, Sweden.
  • Munos MK; Data and Analytics Department, WHO, Geneva, Switzerland.
  • Noor A; Maternal, Newborn, Child and Adolescent Health, and Ageing Department, WHO, Geneva, Switzerland.
  • Pavlin BI; Nossal Institute for Global Health, Melbourne School of Population and Global Health, VIC, Australia.
  • Pereira R; Global Financing Facility, World Bank, Washington, DC, USA.
  • Porth TA; Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
  • Schellenberg J; Global Malaria Programme, WHO, Geneva, Switzerland.
  • Siddique R; Health Emergency Information and Risk Assessment Department, WHO, Geneva, Switzerland.
  • You D; Office for National Statistics, London, UK.
  • Vaz LME; Division of Data, Analysis, Planning and Monitoring, UNICEF, New York, NY, USA.
  • Banerjee A; London School of Hygiene & Tropical Medicine, London, UK.
Lancet Healthy Longev ; 2(7): e436-e443, 2021 07.
Article in English | MEDLINE | ID: covidwho-1294388
ABSTRACT
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 analyses were limited by the lack of standard age categories. In this Personal View, we propose a recommended set of age groupings to address this issue. These groupings are informed by age-specific patterns of morbidity, mortality, and health risks, and by opportunities for prevention and disease intervention. We recommend age groupings of 5 years for all health data, except for those younger than 5 years, during which time there are rapid biological and physiological changes that justify a finer disaggregation. Although the focus of this Personal View is on the standardisation of the analysis and display of age groups, we also outline the challenges faced in collecting data on exact age, especially for health facilities and surveillance data. The proposed age disaggregation should facilitate targeted, age-specific policies and actions for health care and disease management.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Child, preschool / Humans Language: English Journal: Lancet Healthy Longev Year: 2021 Document Type: Article Affiliation country: S2666-7568(21)00115-X

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Child, preschool / Humans Language: English Journal: Lancet Healthy Longev Year: 2021 Document Type: Article Affiliation country: S2666-7568(21)00115-X