Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-ter...

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Detalhes bibliográficos
Autores: Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abd Elhafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Adamu, Haruna, Attia, Shady, Ayuso-Mateos, José Luis, Alazzam, Anas, Al Badawi, Ahmad, Bagherieh, Sara, Baker, John G., Bandyopadhyay, Saptarashmi, Barrero, Luís, Bassat, Quique, Oberman, A, Bhalla, Amar S., Bhandari, Divyansh, Biswas, Aritro, Buonsenso, Danilo MD, Cao, Chenglong, Carr, Steven, Castelpietra, Giulio, Cho, Wonjun, Chu, Dewei, Damiani, Giada, dos Santos, Walter, Hosseini Sereshgi, Erfan, Fatehizadeh, Ali, Force Sanmartin, Lluís, Hammoud, Ali, Haque, Md E., Hay, Simon I., Heidari, Majid, Hossain, Md Abid, Hosseinzadeh, Mohammad Reza, Ben-Yehuda, Muli, Kilic, Mukremin, Jacobsen, Knut Stanley, Jain, Nikhil, Janko, Mark M., Johnson, Owen A., Joseph, Augustine, Keller, Clément, Koren, Gerbrand, Koyanagi, Ai, Kulkarni, V., Kumar, Haresh, Ichalal, Dalil, Lansingh, Van C., Lee, Wonyoung, Al Mamun, Abdullah, di Bartolomeo, Sara, Monasta, Lorenzo, Moreira, Raul da Costa, Morrison, S.S., Mueller, Ute, Nascimento, Bruno de Nadai, Nguyen, Philippe, Pandey, Ashok, Pawar, Suwil D., Peres Zurita, Maria Eduarda Paschoalino, Pham, H.V., Rahman, Talha, Rasella, Davide, Rami Reddy, M., Rezaeian, Masoud, Sadeghi, Meisam, Mudhafar Saleh, Mohammed, Salem, Mohamed|||0000-0001-8822-8613, Sawyer, Susan M., Shah, Pooja, Shahabi, Shahriar, Sharma, M., Sharma, V., Hinshaw, D.A., Elsheikh, Ahmed, Soleimani, Hesam, Patan, Krzysztof, Tyrovolas, Stefanos, Ubah, Charlene, Kumar, Tanu, Verma, Manish, Vollset, Stein Emil, Vos, Tanja, J. Weiss, Daniel, Younis, Mohammad, Zahid, Muhammad, Moniruzzaman, Shaikh, Zare, Iman, Zou, ZhiXiang, Marateb, Hamid Reza|||0000-0003-4408-2397
Formato: artículo
Fecha de publicación:2024
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/430285
Acesso em linha:https://hdl.handle.net/2117/430285
https://dx.doi.org/10.1016/S0140-6736(24)00476-8
Access Level:acceso abierto
Palavra-chave:Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Desenvolupament humà::Població
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Desenvolupament humà::Salut
Descrição
Resumo:Background Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods 22¿223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30¿763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31¿642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution.

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