Excess deaths associated with the Iranian COVID-19 epidemic: A province-level analysis.

COVID-19 Excess mortality Infection fatality ratio Iran SARS-CoV-2

Journal

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
ISSN: 1878-3511
Titre abrégé: Int J Infect Dis
Pays: Canada
ID NLM: 9610933

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 17 01 2021
revised: 06 04 2021
accepted: 07 04 2021
pubmed: 17 4 2021
medline: 3 7 2021
entrez: 16 4 2021
Statut: ppublish

Résumé

There has been no province-level data on the number of coronavirus disease 2019 (COVID-19)-related deaths in Iran since the start of the pandemic. This study was performed to estimate the number of COVID-19 deaths and population-level exposure per province using seasonal all-cause mortality data. Time-series data were collected from the National Organization for Civil Registration on the seasonal all-cause mortality from spring 2015 to summer 2020 (from March 21, 2015 to September 21, 2020), in accordance with the Solar Hijri (SH) calendar, to estimate the expected number of seasonal deaths for each province using a piecewise linear regression model. A population-weighted infection fatality ratio was then applied to estimate the level of exposure per province during this period. From the start of winter to the end of summer (from December 22, 2019 to September 21, 2020), there were a total of 58 900 (95% confidence interval 46 900-69 500) excess deaths across all 31 provinces, with 27% (95% confidence interval 20-34%) estimated nationwide exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In particular, Qom and Golestan were among the hardest-hit provinces, with nearly 57% exposure, while another 27 provinces showed significant levels of excess mortality in at least one season with >20% population-level exposure to the virus. Unexpectedly high levels of excess mortality were also detected during fall 2019 (from September 23 to December 21, 2019) across 18 provinces, unrelated and prior to the start of the COVID-19 pandemic. This study quantified the pattern of spread of COVID-19 across the country and identified areas with the largest epidemic growth requiring the most immediate interventions.

Identifiants

pubmed: 33862214
pii: S1201-9712(21)00326-X
doi: 10.1016/j.ijid.2021.04.015
pmc: PMC8208896
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

101-115

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/M011224/1
Pays : United Kingdom

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Références

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Auteurs

Mahan Ghafari (M)

Department of Zoology, University of Oxford, Oxford, UK. Electronic address: mahan.ghafari@zoo.ox.ac.uk.

Alireza Kadivar (A)

Center for Statistical and Operational Research, Statsminute Company, Tehran, Iran.

Aris Katzourakis (A)

Department of Zoology, University of Oxford, Oxford, UK. Electronic address: aris.katzourakis@zoo.ox.ac.uk.

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