Evidence map›Paper›PMID 36796101›Full record

ArticleRevista medica del Instituto Mexicano del Seguro Social2022

[Early alert of COVID-19 outbreaks to plan the response in the IMSS].

José Esteban Fernández-Gárate, Aide Jazmín González-Cruz, Jorge Zenil-Pérez, Ismael Seth Medina-Reyes, Humberto Frances-Salgado, Xóchitl Refugio Romero-Guerrero

Abstract readEnglish Abstract
In one paragraph

Article in Revista medica del Instituto Mexicano del Seguro Social, 2022. 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. [Epidemiological surveillance at IMSS: a review of institutional successes].Revista medica del Instituto Mexicano del Seguro Social · 2025
    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

6 authors.

José Esteban Fernández-GárateInstituto Mexicano del Seguro Social, Coordinación de Vigilancia Epidemiológica, División de Análisis en Salud. Ciudad de México, México.ORCID 0000-0002-5477-324X
Aide Jazmín González-CruzInstituto Mexicano del Seguro Social, Coordinación de Vigilancia Epidemiológica, División de Análisis en Salud. Ciudad de México, México.ORCID 0000-0002-1547-2161
Jorge Zenil-PérezInstituto Mexicano del Seguro Social, Coordinación de Vigilancia Epidemiológica, División de Análisis en Salud. Ciudad de México, México.ORCID 0000-0003-0943-3032
Ismael Seth Medina-ReyesInstituto Mexicano del Seguro Social, Coordinación de Vigilancia Epidemiológica, División de Análisis en Salud. Ciudad de México, México.ORCID 0000-0002-7954-5286
Humberto Frances-SalgadoInstituto Mexicano del Seguro Social, Coordinación de Vigilancia Epidemiológica, División de Análisis en Salud. Ciudad de México, México.ORCID 0000-0003-3301-353X
Xóchitl Refugio Romero-GuerreroInstituto Mexicano del Seguro Social, Coordinación de Vigilancia Epidemiológica. Ciudad de México, México.ORCID 0000-0003-2680-3250

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Instituto Mexicano del Seguro Social (IMSS) developed and implemented epidemic monitoring and modeling tools to support the organization and planning of an adequate and timely response to the COVID-19 health emergency. The aim of this article is to describe the methodology and results of the early outbreak detection tool called COVID-19 Alert. An early warning traffic light was developed that uses time series analysis and a Bayesian method of early detection of outbreaks from electronic records on COVID-19 for suspected cases, confirmed cases, disabilities, hospitalizations, and deaths. Through Alerta COVID-19, the beginning of the fifth wave of COVID-19 in the IMSS was detected in a timely manner, three weeks before the official declaration. The proposed method is aimed at generating early warnings before the start of a new wave of COVID-19, monitoring the serious phase of the epidemic, and supporting decision-making within the institution; unlike other tools that have an approach aimed at communicating risks to the community. We can conclude that the Alerta COVID-19 is an agile tool that incorporates robust methods for the early detection of outbreaks.

Indexed as

COVID-19Bayes TheoremDisease OutbreaksHumansMexicoSocial SecurityCoronavirus InfectionsHealth SurveillanceTime Series Studies

Identifiers

PMID36796101
PMCPMC10652999

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.