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Excess deaths directly and indirectly attributable to COVID-19 using routinely reported mortality data, Bishkek, Kyrgyzstan, 2020: a cross-sectional study

OBJECTIVES: Studies on excess deaths (ED) show that reported deaths from COVID-19 underestimate death. To understand mortality for improved pandemic preparedness, we estimated ED directly and indirectly attributable to COVID-19 and ED by age groups. DESIGN: Cross-sectional study using routinely repo...

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Autores principales: Bumburidi, Yekaterina, Dzhalimbekova, Altynai, Malisheva, Marina, Moolenaar, Ronald L, Horth, Roberta, Singer, Daniel, Otorbaeva, Dinagul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347454/
https://www.ncbi.nlm.nih.gov/pubmed/37433726
http://dx.doi.org/10.1136/bmjopen-2022-069521
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author Bumburidi, Yekaterina
Dzhalimbekova, Altynai
Malisheva, Marina
Moolenaar, Ronald L
Horth, Roberta
Singer, Daniel
Otorbaeva, Dinagul
author_facet Bumburidi, Yekaterina
Dzhalimbekova, Altynai
Malisheva, Marina
Moolenaar, Ronald L
Horth, Roberta
Singer, Daniel
Otorbaeva, Dinagul
author_sort Bumburidi, Yekaterina
collection PubMed
description OBJECTIVES: Studies on excess deaths (ED) show that reported deaths from COVID-19 underestimate death. To understand mortality for improved pandemic preparedness, we estimated ED directly and indirectly attributable to COVID-19 and ED by age groups. DESIGN: Cross-sectional study using routinely reported individual deaths data. SETTINGS: The 21 health facilities in Bishkek that register all city deaths. PARTICIPANTS: Residents of Bishkek who died in the city from 2015 to 2020. OUTCOME MEASURE: We report weekly and cumulative ED by age, sex and causes of death for 2020. EDs are the difference between observed and expected deaths. Expected deaths were calculated using the historical average and the upper bound of the 95% CI from 2015 to 2019. We calculated the percentage of deaths above expected using the upper bound of the 95% CI of expected deaths. COVID-19 deaths were laboratory confirmed (U07.1) or probable (U07.2 or unspecified pneumonia). RESULTS: Of 4660 deaths in 2020, we estimated 840–1042 ED (79–98 ED per 100 000 people). Deaths were 22% greater than expected. EDs were greater for men (28%) than for women (20%). EDs were observed in all age groups, with the highest ED (43%) among people 65–74 years of age. Hospital deaths were 45% higher than expected. During peak mortality (1 July –21 July), weekly ED was 267% above expected, and ED by disease-specific cause of death were above expected: 193% for ischaemic heart diseases, 52% for cerebrovascular diseases and 421% for lower respiratory diseases. COVID-19 was directly attributable to 69% of ED. CONCLUSION: Deaths directly and indirectly associated with the COVID-19 pandemic were markedly higher than reported, especially for older populations, in hospital settings, and during peak weeks of SARS-CoV-2 transmission. These ED estimates can support efforts to prioritise support for persons at greatest risk of dying during surges.
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spelling pubmed-103474542023-07-15 Excess deaths directly and indirectly attributable to COVID-19 using routinely reported mortality data, Bishkek, Kyrgyzstan, 2020: a cross-sectional study Bumburidi, Yekaterina Dzhalimbekova, Altynai Malisheva, Marina Moolenaar, Ronald L Horth, Roberta Singer, Daniel Otorbaeva, Dinagul BMJ Open Public Health OBJECTIVES: Studies on excess deaths (ED) show that reported deaths from COVID-19 underestimate death. To understand mortality for improved pandemic preparedness, we estimated ED directly and indirectly attributable to COVID-19 and ED by age groups. DESIGN: Cross-sectional study using routinely reported individual deaths data. SETTINGS: The 21 health facilities in Bishkek that register all city deaths. PARTICIPANTS: Residents of Bishkek who died in the city from 2015 to 2020. OUTCOME MEASURE: We report weekly and cumulative ED by age, sex and causes of death for 2020. EDs are the difference between observed and expected deaths. Expected deaths were calculated using the historical average and the upper bound of the 95% CI from 2015 to 2019. We calculated the percentage of deaths above expected using the upper bound of the 95% CI of expected deaths. COVID-19 deaths were laboratory confirmed (U07.1) or probable (U07.2 or unspecified pneumonia). RESULTS: Of 4660 deaths in 2020, we estimated 840–1042 ED (79–98 ED per 100 000 people). Deaths were 22% greater than expected. EDs were greater for men (28%) than for women (20%). EDs were observed in all age groups, with the highest ED (43%) among people 65–74 years of age. Hospital deaths were 45% higher than expected. During peak mortality (1 July –21 July), weekly ED was 267% above expected, and ED by disease-specific cause of death were above expected: 193% for ischaemic heart diseases, 52% for cerebrovascular diseases and 421% for lower respiratory diseases. COVID-19 was directly attributable to 69% of ED. CONCLUSION: Deaths directly and indirectly associated with the COVID-19 pandemic were markedly higher than reported, especially for older populations, in hospital settings, and during peak weeks of SARS-CoV-2 transmission. These ED estimates can support efforts to prioritise support for persons at greatest risk of dying during surges. BMJ Publishing Group 2023-07-11 /pmc/articles/PMC10347454/ /pubmed/37433726 http://dx.doi.org/10.1136/bmjopen-2022-069521 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Public Health
Bumburidi, Yekaterina
Dzhalimbekova, Altynai
Malisheva, Marina
Moolenaar, Ronald L
Horth, Roberta
Singer, Daniel
Otorbaeva, Dinagul
Excess deaths directly and indirectly attributable to COVID-19 using routinely reported mortality data, Bishkek, Kyrgyzstan, 2020: a cross-sectional study
title Excess deaths directly and indirectly attributable to COVID-19 using routinely reported mortality data, Bishkek, Kyrgyzstan, 2020: a cross-sectional study
title_full Excess deaths directly and indirectly attributable to COVID-19 using routinely reported mortality data, Bishkek, Kyrgyzstan, 2020: a cross-sectional study
title_fullStr Excess deaths directly and indirectly attributable to COVID-19 using routinely reported mortality data, Bishkek, Kyrgyzstan, 2020: a cross-sectional study
title_full_unstemmed Excess deaths directly and indirectly attributable to COVID-19 using routinely reported mortality data, Bishkek, Kyrgyzstan, 2020: a cross-sectional study
title_short Excess deaths directly and indirectly attributable to COVID-19 using routinely reported mortality data, Bishkek, Kyrgyzstan, 2020: a cross-sectional study
title_sort excess deaths directly and indirectly attributable to covid-19 using routinely reported mortality data, bishkek, kyrgyzstan, 2020: a cross-sectional study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347454/
https://www.ncbi.nlm.nih.gov/pubmed/37433726
http://dx.doi.org/10.1136/bmjopen-2022-069521
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