2021
DOI: 10.1101/2021.03.12.21253442
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Prevalence of COVID-19 in Iran: Results of the first survey of the Iranian COVID-19 Serological Surveillance program

Abstract: Background: This study aims to estimate the prevalence of COVID-19 in the general population of Iran. Methods: The target population was all Iranian people aged six years and older in the country. A stratified random sampling design was used to select 28,314 subjects from among the individuals registered in the electronic health record systems used in primary health care in Iran. Venous blood was taken from each participant and tested for the IgG antibody against COVID-19. The prevalence of COVID-19 was estima… Show more

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Cited by 10 publications
(7 citation statements)
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References 26 publications
(25 reference statements)
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“…Further, a seroepidemiological study carried out on 11 256 Iranian participants reported that the prevalence of COVID-19 (estimated until August 20, 2020) was 14.2%. 13 Moreover, according to the official reports from the Ministry of Health in Iran, by June 20, 2021, 22 321 457 PCR tests were performed, of which 3 086 974 were positive. On the other hand, the positivity rate of SARS-CoV-2 infection was 13.8% in the general population (http://ird.behdasht.gov.ir/).…”
Section: Discussionmentioning
confidence: 99%
“…Further, a seroepidemiological study carried out on 11 256 Iranian participants reported that the prevalence of COVID-19 (estimated until August 20, 2020) was 14.2%. 13 Moreover, according to the official reports from the Ministry of Health in Iran, by June 20, 2021, 22 321 457 PCR tests were performed, of which 3 086 974 were positive. On the other hand, the positivity rate of SARS-CoV-2 infection was 13.8% in the general population (http://ird.behdasht.gov.ir/).…”
Section: Discussionmentioning
confidence: 99%
“…The prevalence proportions of anti_N IgG, anti_S IgG, and anti N and S IgM seropositivity with 95% confidence intervals (CIs) were estimated, adjusting for clustering by location, through cluster robust standard errors (9)(10)(11)(12). The prevalence estimates were adjusted for the test performance i.e., sensitivity (Se) and specificity (Sp) using a Monte Carlo bias analysis with 100,000 samples based on the following formula: TP = (AP + Sp -1) / (Se + Sp -1) where TP denotes true prevalence and AP denotes apparent prevalence (13,14).…”
Section: Discussionmentioning
confidence: 99%
“…There are two countries represented within our data that were identified by Karlinsky and Kobak [57] as having large discrepancies between the official number of deaths attributed to COVID-19 and the number of excess deaths Iran (with UCR=2.4) and Russia (with UCR=4.5). As such, for the Barchuk et al [11] ("Saint Petersburg, Russia") and for the Khalagi et al [58] ("Iran"), we used numbers based on excess deaths (see Supplementary Material for details).…”
Section: Mortality Datamentioning
confidence: 99%
“…• For Khalagi et al [58] ("Iran"), Karlinsky and Kobak [57] suggest that official mortality data for Iran is highly inaccurate and suggest that there have been approx. 58,092 excess deaths in Iran for the period until Sept. 21, 2020.…”
Section: Details On Mortality and Covariate Datamentioning
confidence: 99%