Evidence map›Paper›PMID 35704649›Full record

ArticlePloS one2022

COVID-19 pandemic in Saint Petersburg, Russia: Combining population-based serological study and surveillance data.

Anton Barchuk, Dmitriy Skougarevskiy, Alexei Kouprianov, Daniil Shirokov, Olga Dudkina, Rustam Tursun-Zade, Mariia Sergeeva, Varvara Tychkova, Andrey Komissarov, Alena Zheltukhina and 9 more

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04406038 (A Population-Based Seroprevalence of SARS-CoV-2-Specific Antibodies Among Adults in Saint Petersburg, Russia), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04406038 completednot on this map

A Population-Based Seroprevalence of SARS-CoV-2-Specific Antibodies Among Adults in Saint Petersburg, Russia: Longitudinal Cohort Study

TypeobservationalSponsorEuropean University at St. PetersburgRan2020 to 2023Enrolled1,038ConditionsCOVID19
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Anton BarchukEuropean University at St. Petersburg, St. Petersburg, Russia.ORCID 0000-0002-4629-3326
Dmitriy SkougarevskiyEuropean University at St. Petersburg, St. Petersburg, Russia.
Alexei KouprianovIndependent Researcher, St. Petersburg, Russia.
Daniil ShirokovClinic "Scandinavia" (LLC Ava-Peter), St. Petersburg, Russia.ORCID 0000-0001-6985-4176
Olga DudkinaEuropean University at St. Petersburg, St. Petersburg, Russia.
Rustam Tursun-ZadeEuropean University at St. Petersburg, St. Petersburg, Russia.
Mariia SergeevaSmorodintsev Research Institute of Influenza, St. Petersburg, Russia.ORCID 0000-0003-0411-9896
Varvara TychkovaSmorodintsev Research Institute of Influenza, St. Petersburg, Russia.
Andrey KomissarovSmorodintsev Research Institute of Influenza, St. Petersburg, Russia.ORCID 0000-0003-1733-1255
Alena ZheltukhinaSmorodintsev Research Institute of Influenza, St. Petersburg, Russia.
Dmitry LioznovSmorodintsev Research Institute of Influenza, St. Petersburg, Russia.
Artur IsaevCenter of Genetics and Reproductive Medicine GENETICO LLC, Moscow, Russia.
Ekaterina PomerantsevaCenter of Genetics and Reproductive Medicine GENETICO LLC, Moscow, Russia.
Svetlana ZhikrivetskayaCenter of Genetics and Reproductive Medicine GENETICO LLC, Moscow, Russia.
Yana SofronovaCenter of Genetics and Reproductive Medicine GENETICO LLC, Moscow, Russia.
Konstantin BlagodatskikhCenter of Genetics and Reproductive Medicine GENETICO LLC, Moscow, Russia.
Kirill TitaevEuropean University at St. Petersburg, St. Petersburg, Russia.
Lubov BarabanovaClinic "Scandinavia" (LLC Ava-Peter), St. Petersburg, Russia.
Daria DanilenkoSmorodintsev Research Institute of Influenza, St. Petersburg, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic in Russia has already resulted in 500,000 excess deaths, with more than 5.6 million cases registered officially by July 2021. Surveillance based on case reporting has become the core pandemic monitoring method in the country and globally. However, population-based seroprevalence studies may provide an unbiased estimate of the actual disease spread and, in combination with multiple surveillance tools, help to define the pandemic course. This study summarises results from four consecutive serological surveys conducted between May 2020 and April 2021 at St. Petersburg, Russia and combines them with other SARS-CoV-2 surveillance data.

methodsWe conducted four serological surveys of two random samples (May-June, July-August, October-December 2020, and February-April 2021) from adults residing in St. Petersburg recruited with the random digit dialing (RDD), accompanied by a telephone interview to collect information on both individuals who accepted and declined the invitation for testing and account for non-response. We have used enzyme-linked immunosorbent assay CoronaPass total antibodies test (Genetico, Moscow, Russia) to report seroprevalence. We corrected the estimates for non-response using the bivariate probit model and also accounted the test performance characteristics, obtained from independent assay evaluation. In addition, we have summarised the official registered cases statistics, the number of hospitalised patients, the number of COVID-19 deaths, excess deaths, tests performed, data from the ongoing SARS-CoV-2 variants of concern (VOC) surveillance, the vaccination uptake, and St. Petersburg search and mobility trends. The infection fatality ratios (IFR) have been calculated using the Bayesian evidence synthesis model.

findingsAfter calling 113,017 random mobile phones we have reached 14,118 individuals who responded to computer-assisted telephone interviewing (CATI) and 2,413 provided blood samples at least once through the seroprevalence study. The adjusted seroprevalence in May-June, 2020 was 9.7% (95%: 7.7-11.7), 13.3% (95% 9.9-16.6) in July-August, 2020, 22.9% (95%: 20.3-25.5) in October-December, 2021 and 43.9% (95%: 39.7-48.0) in February-April, 2021. History of any symptoms, history of COVID-19 tests, and non-smoking status were significant predictors for higher seroprevalence. Most individuals remained seropositive with a maximum 10 months follow-up. 92.7% (95% CI 87.9-95.7) of participants who have reported at least one vaccine dose were seropositive. Hospitalisation and COVID-19 death statistics and search terms trends reflected the pandemic course better than the official case count, especially during the spring 2020. SARS-CoV-2 circulation showed rather low genetic SARS-CoV-2 lineages diversity that increased in the spring 2021. Local VOC (AT.1) was spreading till April 2021, but B.1.617.2 substituted all other lineages by June 2021. The IFR based on the excess deaths was equal to 1.04 (95% CI 0.80-1.31) for the adult population and 0.86% (95% CI 0.66-1.08) for the entire population.

conclusionApproximately one year after the COVID-19 pandemic about 45% of St. Petersburg, Russia residents contracted the SARS-CoV-2 infection. Combined with vaccination uptake of about 10% it was enough to slow the pandemic at the present level of all mitigation measures until the Delta VOC started to spread. Combination of several surveillance tools provides a comprehensive pandemic picture.

Indexed as

COVID-19SARS-CoV-2AdultAntibodies, ViralBayes TheoremHumansPandemicsSeroepidemiologic StudiesAntibodies, Viral

Identifiers

PMID35704649
PMCPMC9200332

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.