COVID-19 in Pregnancy and Early Childhood (COPE): study protocol for a prospective, multicentre biobank, survey and

Ylva Carlsson1,2, Lina Bergman1,2, Mehreen Zaigham3,4

  • 1Department of Obstetrics and Gynaecologyhe, Institute of Clinical Science, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

BMJ Open
|September 15, 2021
PubMed

Insights

This study examines the impact of SARS-CoV-2 (COVID-19) on pregnancy outcomes and long-term maternal and child health. It establishes a biobank and database to track health and parental experiences during the pandemic.

Area of Science:

  • Obstetrics and Gynecology
  • Infectious Diseases
  • Public Health
  • Epidemiology

Background:

  • Limited knowledge exists on SARS-CoV-2 effects on pregnancy outcomes.
  • Studies on COVID-19's impact in early pregnancy and long-term follow-up are scarce.
  • Understanding pandemic effects on maternal and child health is crucial.

Purpose of the Study:

  • To investigate the impact of COVID-19 on pregnancy outcomes.
  • To assess long-term maternal and child health following SARS-CoV-2 infection during pregnancy.
  • To examine parental experiences of pregnancy, childbirth, and early parenthood during the COVID-19 pandemic.

Main Methods:

  • Prospective, multicentre cohort study in Sweden involving over 86,000 deliveries annually.
  • Inclusion of pregnant women who test positive for SARS-CoV-2 (COVID-19 group) or are non-infected (screening group).
  • Collection of biological samples, health data from registers, and parental experiences via questionnaires and interviews.

Main Results:

  • Data collection ongoing; results to be published in peer-reviewed journals.
  • Establishment of a comprehensive database and biobank for pregnant women and infants.
  • Analysis of short- and long-term health outcomes and parental experiences.

Conclusions:

  • The study will provide crucial insights into the effects of COVID-19 on pregnancy and long-term health.
  • Findings will inform clinical practice and public health strategies related to infectious diseases in pregnancy.
  • The research addresses a significant gap in understanding the pandemic's impact on families.
Abstract

Related Concept Videos

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...
511
Bioavailability Study Design: Healthy Subjects Versus Patients01:15

Bioavailability Study Design: Healthy Subjects Versus Patients

Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
25
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.7K
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:  
817