Evidence map›Paper›PMID 37379355›Full record

ArticlePLoS neglected tropical diseases2023

SARS-CoV-2 seroprevalence on the north coast of Peru: A cross-sectional study after the first wave.

Luz M Moyano, Angie K Toledo, Jenny Chirinos, Percy Mc Quen Vilchez Barreto, Sofia Cavalcanti, Ricardo Gamboa, Jhon Ypanaque, Mauro Meza, Sheilla Noriega, Victor Herrera and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

16 authors at 4 institutions in 1 country.

Luz M MoyanoEscuela de Medicina Humana, Universidad Cesar Vallejo, Piura, Piura, Peru.
Angie K ToledoSchool of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru.ORCID 0000-0003-4418-8378
Jenny ChirinosSchool of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru.
Percy Mc Quen Vilchez BarretoDirección Regional de Salud de Tumbes, Tumbes, Peru.
Sofia CavalcantiHospital Amistad Peru Corea Santa Rosa, II-2 Piura, Peru.
Ricardo GamboaDirección Regional de Salud de Tumbes, Tumbes, Peru.
Jhon YpanaqueEscuela Profesional de Medicina Humana y Facultad de Ciencias en Salud de la Universidad Nacional de Tumbes, Tumbes, Peru.
Mauro MezaEscuela Profesional de Medicina Humana y Facultad de Ciencias en Salud de la Universidad Nacional de Tumbes, Tumbes, Peru.
Sheilla NoriegaDirección Regional de Salud de Tumbes, Tumbes, Peru.
Victor HerreraDirección Regional de Salud de Tumbes, Tumbes, Peru.
Edgar BazanEscuela de Medicina Humana, Universidad Cesar Vallejo, Piura, Piura, Peru.
Alexandra RequenaEscuela Profesional de Medicina Humana y Facultad de Ciencias en Salud de la Universidad Nacional de Tumbes, Tumbes, Peru.
Henry SilvaEscuela Profesional de Medicina Humana y Facultad de Ciencias en Salud de la Universidad Nacional de Tumbes, Tumbes, Peru.
Harold BurgosDirección Regional de Salud de Tumbes, Tumbes, Peru.
Franco León-JimenezHospital Amistad Peru Corea Santa Rosa, II-2 Piura, Peru.
Group of Neuroepidemiology and Science of Life of Peru
Universidad Nacional de Tumbes · PEUniversidad Peruana Cayetano Heredia · PEUniversidad César Vallejo · PEUniversidad Norbert Wiener · PE

Funding

Peru Infectious Diseases Epidemiology Research Training ConsortiumD43TW007393 · FIC · UNIVERSIDAD PERUANA CAYETANO HEREDIA · PI Andres G Lescano · 2005 to 2026
$5.9M
FIC NIH HHS D43 TW007393
6 · The paper itself

Abstract

backgroundPeru had the second-highest number of COVID-19 cases in Latin America. After the first wave, Peru registered more than 900,000 cases of COVID-19 and more than 36,000 confirmed deaths from the disease. Tumbes, a border area with poor sanitation and not enough water, had the fifth highest death rate. The cross-sectional analytic study aimed: a) to assess seroprevalence of COVID-19 after the first wave; b) to assess sociodemographic determinants and symptoms associated with a positive COVID-19 antibody lateral flow test. METHODOLOGY/PRINCIPAL

findingsWe performed this study between November 11th and November 30th, 2020, in an informal settlement in Tumbes. Individuals older than two years were invited to participate in a systematic random sample from one in every four households. Finger-prick blood samples were collected, and a census and symptom survey were applied. Within the chosen house, one adult over 18 years of age was chosen for a PCR-RT molecular test. Overall seroprevalence was 25.59%, adjusted seroprevalence was 24.82% (95%CI 22.49-27.25). Women had higher adjusted seroprevalence (28.03% vs 21.11%; 95% CI 24.83-31.41, p = 0.002). Symptoms as fever (PR 1.89: 95% CI 1.44-2.48, p<0.001), general discomfort (PR 1.67; 95% CI 1.23-2.26, p = 0.001), cough (PR 2.0; 95% CI 1.60-2.50, p<0.001), nasal congestion (PR 1.46; 95% CI 1.03-2.09, p = 0.036), respiratory distress (PR 1.64; 95% CI 1.04-2.56, p = 0.031), headache (PR 1.54; 95% CI 1.09-2.17, p = 0.014), anosmia (PR 1.78; 95% CI 1.01-3.14, p = 0.046) and ageusia (PR 2.31; 95% CI 1.48-3.61, p<0.001) were associated with a positive covid-19 antibody lateral flow test. CONCLUSIONS/SIGNIFICANCE: The COVID-19 transmission and distribution were highlighted by this cross-sectional study. The data will help the Ministry of Health improve its monitoring, surveillance, and monitoring of respiratory community sequelae in the future.

Indexed as

COVID-19SARS-CoV-2AdolescentAdultAntibodies, ViralCross-Sectional StudiesFemaleHumansPeruSeroepidemiologic StudiesAntibodies, Viral

Identifiers

PMID37379355
PMCPMC10335682
OpenAlexW4382467861

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.