Related Experiment Video

Updated: Jul 29, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

11.9K

[Epidemiological characterization of COVID-2019 in Mexican pregnant women: a cohort study]

María Guadalupe Berumen-Lechuga1, Carlos José Molina-Pérez2, Luis Rey García-Cortés3

  • 1Instituto Mexicano del Seguro Social, Órgano de Operación Administrativa Desconcentrada Estado de México Poniente, Coordinación Auxiliar Médica de Investigación en Salud. Toluca, Estado de México, México.

Revista Medica Del Instituto Mexicano Del Seguro Social
|May 22, 2023
PubMed

Insights

COVID-19 infection during pregnancy poses risks such as preterm birth and maternal death. However, COVID-19 vaccination in pregnant individuals was found to be safe, with no adverse events reported for mothers or newborns.

Area of Science:

  • Obstetrics and Gynecology
  • Infectious Diseases
  • Epidemiology

Context:

  • Pregnancy involves significant cardiorespiratory and immunological adaptations, increasing vulnerability to infections like COVID-19.
  • Understanding COVID-19's impact on pregnant populations is crucial for maternal and fetal health outcomes.
  • Mexican pregnant women represent a key demographic for studying disease-specific risks and management strategies.

Purpose:

  • To epidemiologically characterize COVID-19 cases in pregnant women within Mexico.
  • To assess the safety and efficacy of COVID-19 vaccination in this high-risk group.
  • To identify key complications and outcomes associated with COVID-19 during pregnancy.

Summary:

  • A cohort study analyzed 758 pregnant Mexican women with COVID-19.
  • Key findings include high rates of cesarean delivery (85%), prematurity (53.5%), and preeclampsia (26.2%).
  • Vaccination data indicated no serious adverse events, with BioNTech Pfizer being the most common vaccine.

Impact:

  • COVID-19 in pregnancy is linked to increased risks of preterm birth, preeclampsia, and maternal mortality.
  • The study supports the safety of COVID-19 vaccination for pregnant women and their newborns.
  • Findings inform public health policies and clinical guidance for managing COVID-19 in pregnant populations.
Abstract

Keywords:
COVID-19COVID-19 VaccinesPregnancy

More Related Videos

Isolation of Leukocytes from the Human Maternal-fetal Interface08:19

Isolation of Leukocytes from the Human Maternal-fetal Interface

Published on: May 21, 2015

16.1K
Generating a Reproducible Model of Mid-Gestational Maternal Immune Activation using PolyI:C to Study Susceptibility and Resilience in Offspring09:09

Generating a Reproducible Model of Mid-Gestational Maternal Immune Activation using PolyI:C to Study Susceptibility and Resilience in Offspring

Published on: August 17, 2022

1.7K

Related Concept Videos

Teratogenicity01:07

Teratogenicity

The ability of a drug to produce structural deformations and functional abnormalities in the developing embryo or the fetus is called teratogenicity, and the drug producing this effect is known as a teratogen. Teratogenic effects include stillbirth, miscarriage, intrauterine growth restriction, and neurocognitive delay. A teratogen may affect the embryo at different stages of development, which is important in determining the type and extent of the damage. During blastocyst formation, the early...
2.5K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
436
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
292
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
391
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
652