Evidence map›Paper›PMID 34006960›Full record

ArticleScientific reports2021

Serological surveys to inform SARS-CoV-2 epidemic curve: a cross-sectional study from Odisha, India.

Jaya Singh Kshatri, Debdutta Bhattacharya, Srikanta Kanungo, Sidhartha Giri, Subrata Kumar Palo, Debaprasad Parai, Jyotirmayee Turuk, Asit Mansingh, Hari Ram Choudhary, Matrujyoti Pattnaik and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Dynamics of SARS-CoV-2 seroassay sensitivity: a systematic review and modelling study.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Pooled it
  2. Seroprevalence of IgG antibodies against SARS-CoV-2 in India, March 2020 to August 2021: a systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Pooled it
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  8. Community seroprevalence and risk factors for SARS-CoV-2 infection in different subpopulations in Vellore, India, and their implications for future prevention.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
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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

17 authors.

Jaya Singh KshatriICMR-Regional Medical Research Centre, Bhubaneswar, India.
Debdutta BhattacharyaICMR-Regional Medical Research Centre, Bhubaneswar, India.
Srikanta KanungoICMR-Regional Medical Research Centre, Bhubaneswar, India.
Sidhartha GiriICMR-Regional Medical Research Centre, Bhubaneswar, India.
Subrata Kumar PaloICMR-Regional Medical Research Centre, Bhubaneswar, India.
Debaprasad ParaiICMR-Regional Medical Research Centre, Bhubaneswar, India.ORCID 0000-0003-0266-5623
Jyotirmayee TurukICMR-Regional Medical Research Centre, Bhubaneswar, India.
Asit MansinghICMR-Regional Medical Research Centre, Bhubaneswar, India.
Hari Ram ChoudharyICMR-Regional Medical Research Centre, Bhubaneswar, India.
Matrujyoti PattnaikICMR-Regional Medical Research Centre, Bhubaneswar, India.
Girish Chandra DashICMR-Regional Medical Research Centre, Bhubaneswar, India.
Prasantajyoti MohantyICMR-Regional Medical Research Centre, Bhubaneswar, India.
Niranjan MishraDepartment of Health and Family Welfare, Government of Odisha, Bhubaneswar, India.
Durga Madhab SatapathyDepartment of Community Medicine, Maharaja Krushna Chandra Gajapati Medical College and Hospital, Berhampur, India.
Sanjaya Kumar SahooDepartment of Community Medicine, Maharaja Krushna Chandra Gajapati Medical College and Hospital, Berhampur, India.
Sanghamitra PatiICMR-Regional Medical Research Centre, Bhubaneswar, India. drsanghamitra1212@gmail.com.
ICMR-RMRC [OdiSHA-COVID-19] Serosurvey Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This was a population based cross-sectional study carried out to estimate and compare the seroprevalence, hidden prevalence and determine the demographic risk factors associated with SARS-CoV-2 infection among adults in the three largest cities of Odisha, India, and ascertain the association with the progression of the epidemic. The survey carried out in August 2020 in the three largest cities of the state of Odisha, India. Blood samples were collected from the residents using random sampling methods and tested for anti- SARS CoV-2 antibodies using an automated CLIA platform. A total of 4146 participants from the 3 cities of Bhubaneswar (BBS), Berhampur (BAM) and Rourkela (RKL) participated. The female to male participation ratio was 5.9:10 across the three cities. The gender weighted seroprevalence across the three cities was 20.78% (95% CI 19.56-22.05%). While females reported a higher seroprevalence (22.8%) as compared to males (18.8%), there was no significant difference in seroprevalence across age groups. A majority of the seropositive participants were asymptomatic (90.49%). The case to infection ratio on the date of serosurvey was 1:6.6 in BBS, 1:61 in BAM and 1:29.8 in RKL. The study found a high seroprevalence against COVID-19 in urban Odisha as well as high numbers of asymptomatic infections. The epidemic curves had a correlation with the seroprevalence.

Indexed as

AdultAntibodies, ViralCOVID-19Cross-Sectional StudiesEpidemicsFemaleHumansImmunoassayIndiaMaleMiddle AgedSARS-CoV-2Seroepidemiologic StudiesAntibodies, Viral

Identifiers

PMID34006960
PMCPMC8131641

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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.