Evidence map›Paper›PMID 36711379›Full record

ArticleFrontiers in public health2022

Two-year follow-up of the COVID-19 pandemic in Mexico.

Antonio Loza, Rosa María Wong-Chew, María-Eugenia Jiménez-Corona, Selene Zárate, Susana López, Ricardo Ciria, Diego Palomares, Rodrigo García-López, Pavel Iša, Blanca Taboada and 11 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Shifting drivers and predictable corridors of an illegal wildlife trade network.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Inhaled sevoflurane in critically ill COVID-19 patients: A retrospective cohort study.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2026
    Article
  4. Article
  5. The potential of long-term wastewater-based surveillance to predict COVID-19 waves peak in Mexico.Water environment research : a research publication of the Water Environment Federation · 2025
    Article
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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

21 authors.

Antonio LozaDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Rosa María Wong-ChewFacultad de Medicina, Laboratorio de Investigación en Enfermedades Infecciosas, División de Investigación, Universidad Nacional Autónoma de Mexico, Ciudad de México, Mexico.
María-Eugenia Jiménez-CoronaDepartamento de Epidemiología, Instituto Nacional de Cardiología Ignacio Chávez, Ciudad de México, Mexico.
Selene ZáratePosgrado en Ciencias Genómicas, Universidad Autónoma de la Ciudad de México, Ciudad de México, Mexico.
Susana LópezDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Ricardo CiriaDepartamento de Microbiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Diego PalomaresDepartamento de Microbiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Rodrigo García-LópezDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Pavel IšaDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Blanca TaboadaDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Mauricio RosalesDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Celia BoukadidaCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Ciudad de México, Mexico.
Alfredo Herrera-EstrellaCentro de Investigación y de Estudios Avanzados del IPN, Laboratorio Nacional de Genómica para la Biodiversidad-Unidad de Genómica Avanzada, Irapuato, Guanajuato, Mexico.
Nelly Selem MojicaCentro de Ciencias Matemáticas, Universidad Nacional Autónoma de México, Morelia, Michoacan, Mexico.
Xaira Rivera-GutierrezDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
José Esteba Muñoz-MedinaCoordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico.
Angel Gustavo Salas-LaisLaboratorio Central de Epidemiología, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico.
Alejandro Sanchez-FloresUnidad Universitaria de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Joel Armando Vazquez-PerezInstituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Ciudad de México, Mexico.
Carlos F AriasDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Rosa María Gutiérrez-RíosDepartamento de Microbiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.

Funding

Biotechnology and Biological Sciences Research Council BB/P027849/1
6 · The paper itself

Abstract

Background: After the initial outbreak in China (December 2019), the World Health Organization declared COVID-19 a pandemic on March 11 Design and methods: This is a population-based longitudinal study. We analyzed data from the national COVID-19 registry to describe the evolution of the pandemic in terms of the number of confirmed cases, hospitalizations, deaths and reported symptoms in relation to health policies and circulating variants. We also carried out logistic regression to investigate the major risk factors for disease severity. Results: From March 2020 to March 2022, the coronavirus disease 2019 (COVID-19) pandemic in Mexico underwent four epidemic waves. Out of 5,702,143 confirmed cases, 680,063 were hospitalized (11.9%), and 324,436 (5.7%) died. Even if there was no difference in susceptibility by gender, males had a higher risk of death (CFP: 7.3 vs. 4.2%) and hospital admission risk (HP: 14.4 vs. 9.5%). Severity increased with age. With respect to younger ages (0-17 years), the 60+ years or older group reached adjusted odds ratios of 9.63 in the case of admission and 53.05 (95% CI: 27.94-118.62) in the case of death. The presence of any comorbidity more than doubled the odds ratio, with hypertension-diabetes as the riskiest combination. While the wave peaks increased over time, the odds ratios for developing severe disease (waves 2, 3, and 4 to wave 1) decreased to 0.15 (95% CI: 0.12-0.18) in the fourth wave. Conclusion: The health policy promoted by the Mexican government decreased hospitalizations and deaths, particularly among older adults with the highest risk of admission and death. Comorbidities augment the risk of developing severe illness, which is shown to rise by double in the Mexican population, particularly for those reported with hypertension-diabetes. Factors such as the decrease in the severity of the SARS-CoV2 variants, changes in symptomatology, and advances in the management of patients, vaccination, and treatments influenced the decrease in mortality and hospitalizations.

Indexed as

COVID-19Diabetes MellitusHypertensionAdolescentAgedChildChild, PreschoolFollow-Up StudiesHumansInfantInfant, NewbornLongitudinal StudiesMaleMexicoPandemicsRNA, ViralRNA, Viralcase-fatality-proportioncomorbiditiesCOVID-19logistic-regressionsymptomsvariants

Identifiers

PMID36711379
PMCPMC9880891

What OpenQuestion holds

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Registered trials

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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.