Evidence map›Paper›PMID 39891540›Full record

ArticleThe Journal of infectious diseases2025

A Comparative Analysis of Universal and Sentinel Surveillance Data for Coronavirus Disease 2019: Insights From Argentina, Chile, and Mexico (2020-2022).

Lidia Redondo-Bravo, Kinda Zureick, Carla Voto, Xaviera Molina Avendaño, Laura Flores-Cisneros, Ashley Fowlkes, Luciana Eva Iummato, Carlos Giovacchini, Maria Fernanda Olivares Barraza, Paula Rodriguez Ferrari and 8 more

Abstract readComparative Study
In one paragraph

Article in The Journal of infectious diseases, 2025. 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
–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

1 citing paper in PubMed.

  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

18 authors.

Lidia Redondo-BravoPAHO Health Emergencies, Pan American Health Organization, Washington, DC, USA.ORCID 0000-0002-6624-3879
Kinda ZureickInfluenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0003-3678-0267
Carla VotoDirección de Epidemiología, Ministerio de Salud, Buenos Aires, Argentina.ORCID 0000-0003-3869-3212
Xaviera Molina AvendañoOficina de País de Chile, Organización Panamericana de la Salud, Santiago de Chile, Chile.ORCID 0000-0001-5477-5926
Laura Flores-CisnerosOficina de País de México, Organización Panamericana de la Salud, Ciudad de México, México.
Ashley FowlkesInfluenza Division, US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0002-0620-6451
Luciana Eva IummatoDirección de Epidemiología, Ministerio de Salud, Buenos Aires, Argentina.
Carlos GiovacchiniDirección de Epidemiología, Ministerio de Salud, Buenos Aires, Argentina.
Maria Fernanda Olivares BarrazaDepartamento de Epidemiología, Ministerio de Salud, Santiago de Chile, Chile.
Paula Rodriguez FerrariDepartamento de Epidemiología, Ministerio de Salud, Santiago de Chile, Chile.ORCID 0009-0003-3447-5653
Rosaura Gutiérrez-VargasDirección de Información Epidemiológica, Dirección General de Epidemiología, Secretaría de Salud, Ciudad de México, México.ORCID 0000-0001-6836-3076
Christian Arturo Zaragoza-JiménezDirección de Información Epidemiológica, Dirección General de Epidemiología, Secretaría de Salud, Ciudad de México, México.
Gabriel García-RodríguezDirección de Información Epidemiológica, Dirección General de Epidemiología, Secretaría de Salud, Ciudad de México, México.
Hugo López-GatellSubsecretaría de Prevención y Promoción de la Salud, Secretaría de Salud, Ciudad de México, México.
Ángel RodríguezPAHO Health Emergencies, Pan American Health Organization, Washington, DC, USA.
Paula CoutoPAHO Health Emergencies, Pan American Health Organization, Washington, DC, USA.ORCID 0000-0003-1900-2543
Marc RondyPAHO Health Emergencies, Pan American Health Organization, Washington, DC, USA.
Andrea S VicariPAHO Health Emergencies, Pan American Health Organization, Washington, DC, USA.

Funding

CDC HHSWorld Health Organization 001
6 · The paper itself

Abstract

backgroundIn 2020, countries implemented universal surveillance to detect and monitor severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases. Although crucial for early monitoring efforts, universal surveillance is resource intensive. To understand the implications of transitioning from universal to sentinel surveillance for monitoring SARS-CoV-2 transmissibility, morbidity and mortality, and disease seriousness, we compared measures of SARS-CoV-2 reported from both surveillance strategies in Argentina, Chile, and Mexico.

methodsWe obtained weekly case counts in Argentina, Chile, and Mexico, in periods when both universal and sentinel surveillance were ongoing. To assess the countries' surveillance strategies, we measured the proportion of total sites that were included in sentinel surveillance. We compared 8 measures of SARS-CoV-2 transmissibility, morbidity and mortality, and disease seriousness between sentinel and universal surveillance and assessed the correlation between the 2 strategies for the 8 measures. Pearson and Spearman correlation was classified as very strong (rs = 0.8-1.0), strong (rs = 0.60-0.79), moderate (rs = 0.50-0.59), or poor (r < 0.50).

resultsThe proportion of total sites included in sentinel surveillance was 5.8% for Argentina, 1.1% for Chile, and 7.6% for Mexico. A total of 21 measures were calculated (8 for Mexico, 8 for Chile, and 5 for Argentina). Of these, 17 showed consistency between the 2 surveillance strategies, with strong or very strong correlations (r = 0.66-0.99): all 8 measures for Mexico, 6 of 8 measures for Chile, and 3 of 5 measures for Argentina. Each country had ≥1 measure reflecting transmissibility and ≥1 reflecting morbidity and mortality for which the correlation was strong or very strong. Chile and Mexico also had ≥1 measure of disease seriousness for which the correlation was strong.

conclusionsOur findings suggest that the integration of SARS-CoV-2 into national sentinel surveillance can yield information comparable to that provided by nationwide universal surveillance for measures related to SARS-CoV-2 transmissibility, morbidity and mortality, and seriousness of disease.

Indexed as

COVID-19Sentinel SurveillanceArgentinaChileHumansMexicoSARS-CoV-2COVID-19 pandemicrespiratory virusesSARS-CoV-2 surveillancesentinel surveillanceuniversal surveillance

Identifiers

PMID39891540
PMCPMC11892001

What OpenQuestion holds

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LicenceCC BY
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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.