Evidence map›Paper›PMID 33817611›Full record

ArticleEClinicalMedicine2021

SARS-CoV-2 prevalence associated to low socioeconomic status and overcrowding in an LMIC megacity: A population-based seroepidemiological survey in Lima, Peru.

Mary F Reyes-Vega, M Gabriela Soto-Cabezas, Fany Cárdenas, Kevin S Martel, Andree Valle, Juan Valverde, Margot Vidal-Anzardo, María Elena Falcón, César V Munayco, Peru COVID-19 Working Group

Abstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 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

42 citing papers in PubMed, 4 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. Pooled it
  3. Pooled it
  4. High seroprevalence for SARS-CoV-2 infection in South America, but still not enough for herd immunity!International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Pooled it
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Review
  20. Article
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

10 authors.

Mary F Reyes-VegaCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Peruvian Ministry of Health, Jr. Daniel Olaechea N°. 199, Jesús María, Lima, Peru.
M Gabriela Soto-CabezasCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Peruvian Ministry of Health, Jr. Daniel Olaechea N°. 199, Jesús María, Lima, Peru.
Fany CárdenasInstituto Nacional de Salud, Peruvian Ministry of Health, Av. Defensores del Morro 2268, Chorrillos, Lima, Peru.
Kevin S MartelCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Peruvian Ministry of Health, Jr. Daniel Olaechea N°. 199, Jesús María, Lima, Peru.
Andree ValleCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Peruvian Ministry of Health, Jr. Daniel Olaechea N°. 199, Jesús María, Lima, Peru.
Juan ValverdeInstituto Nacional de Estadística e Informática, Av. Gral. Garzón 654 - 658, Jesús María, Lima, Peru.
Margot Vidal-AnzardoInstituto Nacional de Salud, Peruvian Ministry of Health, Av. Defensores del Morro 2268, Chorrillos, Lima, Peru.
María Elena FalcónInstituto Nacional de Estadística e Informática, Av. Gral. Garzón 654 - 658, Jesús María, Lima, Peru.
César V MunaycoCentro Nacional de Epidemiología, Prevención y Control de Enfermedades, Peruvian Ministry of Health, Jr. Daniel Olaechea N°. 199, Jesús María, Lima, Peru.
Peru COVID-19 Working Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorldwide, Peru has one of the highest infection fatality rates of COVID-19, and its capital city, Lima, accumulates roughly 50% of diagnosed cases. Despite surveillance efforts to assess the extent of the pandemic, reported cases and deaths only capture a fraction of its impact due to COVID-19's broad clinical spectrum. This study aimed to estimate the seroprevalence of SARS-CoV-2 in Lima, stratified by age, sex, region, socioeconomic status (SES), overcrowding, and symptoms.

methodsWe conducted a multi-stage, population-based serosurvey in Lima, between June 28th and July 9th, 2020, after 115 days of the index case and after the first peak cases. We collected whole blood samples by finger-prick and applied a structured questionnaire. A point-of-care rapid serological test assessed IgM and IgG antibodies against SARS-CoV-2. Seroprevalence estimates were adjusted by sampling weights and test performance. Additionally, we performed RT-PCR molecular assays to seronegatives and estimated the infection prevalence.

findingsWe enrolled 3212 participants from 797 households and 241 sample clusters from Lima in the analysis. The SARS-CoV-2 seroprevalence was 20·8% (95%CI 17·2-23·5), and the prevalence was 25·2% (95%CI 22·5-28·2). Seroprevalence was equally distributed by sex (aPR=0·96 [95%CI 0·85-1·09,

interpretationThis first estimate of SARS-CoV-2 seroprevalence in Lima shows an intense transmission scenario, despite the government's numerous interventions early established. Susceptibles across age groups show that physical distancing interventions must not be relaxed. SES and overcrowding households are associated with seroprevalence. This study highlights the importance of considering the existing social inequalities for implementing the response to control transmission in low- and middle-income countries.

Indexed as

COVID-19LimaPeruPopulation-basedPrevalenceSARS-CoV-2Seroprevalence

Identifiers

PMID33817611
PMCPMC8009628

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.