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Pregnancy during COVID-19: social contact patterns and vaccine coverage of pregnant women from CoMix in 19 European countries.
Wong, Kerry L M; Gimma, Amy; Paixao, Enny S; Faes, Christel; Beutels, Philippe; Hens, Niel; Jarvis, Christopher I; Edmunds, W John.
  • Wong KLM; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. Kerry.wong@lshtm.ac.uk.
  • Gimma A; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Paixao ES; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Faes C; Data Science Institute and I-BioStat, Hasselt University, Hasselt, Belgium.
  • Beutels P; Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • Hens N; Data Science Institute and I-BioStat, Hasselt University, Hasselt, Belgium.
  • Jarvis CI; Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • Edmunds WJ; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
BMC Pregnancy Childbirth ; 22(1): 757, 2022 Oct 08.
Article in English | MEDLINE | ID: covidwho-2064762
ABSTRACT

BACKGROUND:

Evidence and advice for pregnant women evolved during the COVID-19 pandemic. We studied social contact behaviour and vaccine uptake in pregnant women between March 2020 and September 2021 in 19 European countries.

METHODS:

In each country, repeated online survey data were collected from a panel of nationally-representative participants. We calculated the adjusted mean number of contacts reported with an individual-level generalized additive mixed model, modelled using the negative binomial distribution and a log link function. Mean proportion of people in isolation or quarantine, and vaccination coverage by pregnancy status and gender were calculated using a clustered bootstrap.

FINDINGS:

We recorded 4,129 observations from 1,041 pregnant women, and 115,359 observations from 29,860 non-pregnant individuals aged 18-49. Pregnant women made slightly fewer contacts (3.6, 95%CI = 3.5-3.7) than non-pregnant women (4.0, 95%CI = 3.9-4.0), driven by fewer work contacts but marginally more contacts in non-essential social settings. Approximately 15-20% pregnant and 5% of non-pregnant individuals reported to be in isolation and quarantine for large parts of the study period. COVID-19 vaccine coverage was higher in pregnant women than in non-pregnant women between January and April 2021. Since May 2021, vaccination in non-pregnant women began to increase and surpassed that in pregnant women.

INTERPRETATION:

Limited social contact to avoid pathogen exposure during the COVID-19 pandemic has been a challenge to many, especially women going through pregnancy. More recognition of maternal social support desire is needed in the ongoing pandemic. As COVID-19 vaccination continues to remain an important pillar of outbreak response, strategies to promote correct information can provide reassurance and facilitate informed pregnancy vaccine decisions in this vulnerable group.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Female / Humans / Pregnancy Language: English Journal: BMC Pregnancy Childbirth Journal subject: Obstetrics Year: 2022 Document Type: Article Affiliation country: S12884-022-05076-1

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Female / Humans / Pregnancy Language: English Journal: BMC Pregnancy Childbirth Journal subject: Obstetrics Year: 2022 Document Type: Article Affiliation country: S12884-022-05076-1