Evidence map›Paper›PMID 35090398›Full record

ArticleBMC infectious diseases2022

Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile.

Pablo Vial, Claudia González, Gloria Icaza, Muriel Ramirez-Santana, Rubén Quezada-Gaete, Loreto Núñez-Franz, Mauricio Apablaza, Cecilia Vial, Paola Rubilar, Juan Correa and 7 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Inverse Association between Omega-3 Index and Severity of COVID-19: A Case-Control Study.International journal of environmental research and public health · 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.

Pablo VialInstituto de Ciencias e Innovación en Medicina, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Av. Plaza #680, San Carlos de Apoquindo, 7610658, Las Condes, Santiago, Chile.
Claudia GonzálezCentro de Epidemiología y Políticas de Salud, Facultad de Medicina Clínica Alemana Universidad del Desarrollo, Av. Plaza #680, San Carlos de Apoquindo, 7610658, Las Condes, Santiago, Chile.
Gloria IcazaInstituto de Matemáticas, Universidad de Talca, Avenida Uno Poniente #1141, 3460000, Talca, Chile.
Muriel Ramirez-SantanaPublic Health Department, Faculty of Medicine, Universidad Católica del Norte, Larrondo 1281, 1780000, Coquimbo, Chile.
Rubén Quezada-GaetePublic Health Department, Faculty of Medicine, Universidad Católica del Norte, Larrondo 1281, 1780000, Coquimbo, Chile.
Loreto Núñez-FranzDepartamento de Salud Pública, Facultad de Ciencias de la Salud, Universidad de Talca, Avenida Uno Poniente #1141, 3460000, Talca, Chile.
Mauricio ApablazaFacultad de Gobierno, Universidad del Desarrollo, Av. Plaza #680, San Carlos de Apoquindo, 7610658, Las Condes, Santiago, Chile.
Cecilia VialInstituto de Ciencias e Innovación en Medicina, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Av. Plaza #680, San Carlos de Apoquindo, 7610658, Las Condes, Santiago, Chile.
Paola RubilarCentro de Epidemiología y Políticas de Salud, Facultad de Medicina Clínica Alemana Universidad del Desarrollo, Av. Plaza #680, San Carlos de Apoquindo, 7610658, Las Condes, Santiago, Chile.
Juan CorreaCentro Producción del Espacio, Universidad de Las Américas, Avenida Manuel Montt #948, 7500975, Providencia, Santiago, Chile.
Claudia PérezEscuela de Enfermería, Facultad de Medicina Clínica Alemana Universidad del Desarrollo, Av. Plaza #680, San Carlos de Apoquindo, 7610658, Las Condes, Santiago, Chile.
Andrei FloreaInstituto de Ciencias e Innovación en Medicina, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Av. Plaza #680, San Carlos de Apoquindo, 7610658, Las Condes, Santiago, Chile.
Eugenio GuzmánFacultad de Gobierno, Universidad del Desarrollo, Av. Plaza #680, San Carlos de Apoquindo, 7610658, Las Condes, Santiago, Chile.
María-Estela LavínFacultad de Gobierno, Universidad del Desarrollo, Av. Plaza #680, San Carlos de Apoquindo, 7610658, Las Condes, Santiago, Chile.
Paula ConchaEscuela de Enfermería, Facultad de Medicina Clínica Alemana Universidad del Desarrollo, Av. Plaza #680, San Carlos de Apoquindo, 7610658, Las Condes, Santiago, Chile.
Manuel NájeraCentro de Epidemiología y Políticas de Salud, Facultad de Medicina Clínica Alemana Universidad del Desarrollo, Av. Plaza #680, San Carlos de Apoquindo, 7610658, Las Condes, Santiago, Chile.
Ximena AguileraCentro de Epidemiología y Políticas de Salud, Facultad de Medicina Clínica Alemana Universidad del Desarrollo, Av. Plaza #680, San Carlos de Apoquindo, 7610658, Las Condes, Santiago, Chile. xaguilera@udd.cl.

Funding

Agencia Nacional de Investigación y Desarrollo , ANID COVID 19-0589
6 · The paper itself

Abstract

backgroundSeroprevalence studies provide an accurate measure of SARS-CoV-2 spread and the presence of asymptomatic cases. They also provide information on the uneven impact of the pandemic, pointing out vulnerable groups to prioritize which is particularly relevant in unequal societies. However, due to their high cost, they provide limited evidence of spatial spread of the pandemic specially in unequal societies. Our objective was to estimate the prevalence of SARS-CoV-2 antibodies in Chile and model its spatial risk distribution.

methodsDuring Oct-Nov 2020, we conducted a population-based serosurvey in Santiago, Talca, and Coquimbo-La Serena (2493 individuals). We explored the individual association between positive results and socio-economic and health-related variables by logistic regression for complex surveys. Then, using an Empirical Bayesian Kriging model, we estimated the infection risk spatial distribution using individual and census information, and compared these results with official records.

resultsSeroprevalence was 10.4% (95% CI 7.8-13.7%), ranging from 2% (Talca) to 11% (Santiago), almost three times the number officially reported. Approximately 36% of these were asymptomatic, reaching 82% below 15 years old. Seroprevalence was associated with the city of residence, previous COVID-19 diagnosis, contact with confirmed cases (especially at household), and foreign nationality. The spatial model accurately interpolated the distribution of disease risk within the cities finding significant differences in the predicted probabilities of SARS-CoV-2 infection by census zone (IQR 2.5-15.0%), related to population density and education.

conclusionsOur results underscore the transmission heterogeneity of SARS-CoV-2 within and across three urban centers of Chile. Socio-economic factors and the outcomes of this seroprevalence study enable us to identify priority areas for intervention. Our methodological approach and results can help guide the design of interdisciplinary strategies for urban contexts, not only for SARS-CoV-2 but also for other communicable diseases.

Indexed as

COVID-19SARS-CoV-2AdolescentBayes TheoremChileCOVID-19 TestingHumansSeroepidemiologic StudiesSocial Determinants of HealthAttack rateCase fatality ratioChileCOVID-19GeographyHousehold transmissionSecondary attack rateSeroprevalenceSpatial analysis

Identifiers

PMID35090398
PMCPMC8795965

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.