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1.
Nature ; 613(7942): 130-137, 2023 01.
Article in English | MEDLINE | ID: covidwho-2160239

ABSTRACT

The World Health Organization has a mandate to compile and disseminate statistics on mortality, and we have been tracking the progression of the COVID-19 pandemic since the beginning of 20201. Reported statistics on COVID-19 mortality are problematic for many countries owing to variations in testing access, differential diagnostic capacity and inconsistent certification of COVID-19 as cause of death. Beyond what is directly attributable to it, the pandemic has caused extensive collateral damage that has led to losses of lives and livelihoods. Here we report a comprehensive and consistent measurement of the impact of the COVID-19 pandemic by estimating excess deaths, by month, for 2020 and 2021. We predict the pandemic period all-cause deaths in locations lacking complete reported data using an overdispersed Poisson count framework that applies Bayesian inference techniques to quantify uncertainty. We estimate 14.83 million excess deaths globally, 2.74 times more deaths than the 5.42 million reported as due to COVID-19 for the period. There are wide variations in the excess death estimates across the six World Health Organization regions. We describe the data and methods used to generate these estimates and highlight the need for better reporting where gaps persist. We discuss various summary measures, and the hazards of ranking countries' epidemic responses.


Subject(s)
COVID-19 , Pandemics , World Health Organization , Humans , Bayes Theorem , COVID-19/mortality , Pandemics/statistics & numerical data , Uncertainty , Poisson Distribution
2.
Arch Public Health ; 79(1): 148, 2021 Aug 20.
Article in English | MEDLINE | ID: covidwho-1496225

ABSTRACT

The United Nations' Sustainable Development Agenda calls for targeted attention to the needs and rights of the most vulnerable populations to ensure a life of dignity and human security for all. In this paper, we argue that persons with disabilities are in a disproportionately vulnerable situation in public health emergencies. By using the example of Coronavirus disease 2019 (Covid-19), we explain why that is and call for the systematic consideration of the needs and rights of persons with disabilities during the response to the outbreak and during the recovery phase. Otherwise, equity will continue to be merely an aspiration during this COVID-19 emergency - as it will in future health emergencies.

3.
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.


Subject(s)
COVID-19 , Pandemics , Child, Preschool , Humans , Morbidity , Sustainable Development
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