Evidence map›Paper›PMID 36426337›Full record

ArticleCureus2022

Impact of the COVID-19 Pandemic on the Rate of Influenza Vaccination in a Predominately African American Pregnant Population.

Rachel Shamoun, Patrina Agosta, Sayeh Nabati, Grace D Brannan, Krystine Haglin, Michele Thomas

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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 at 4 institutions in 2 countries.

Rachel ShamounObstetrics and Gynecology, Ascension Providence Hospital, Southfield, USA.
Patrina AgostaObstetrics and Gynecology, Ascension Providence Hospital, Southfield, USA.
Sayeh NabatiObstetrics and Gynecology, American University of the Caribbean School of Medicine, Cupecoy, SXM.
Grace D BrannanResearch, GDB Research and Statistical Consulting, Athens, USA.
Krystine HaglinObstetrics and Gynecology, Ascension Providence Hospital, Southfield, USA.
Michele ThomasObstetrics and Gynecology, Ascension Providence Hospital, Southfield, USA.
Ascension Providence Hospital · USStatistical Research (United States) · USAmerican University of the Caribbean School of Medicine · SXInstitute for Female Pelvic Medicine and Reconstructive Surgery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The data is sparse on the uptake of preventative vaccinations during the COVID-19 pandemic in the pregnant population. Our goal was to determine if the COVID-19 pandemic affected the rate of influenza and tetanus, diphtheria, and acellular pertussis (TDAP) vaccination in a predominantly African American pregnant population.  Methods  This retrospective descriptive cross-sectional study compared the influenza vaccination rates of pregnant women 18 years and older between the pre-COVID influenza season (September 1, 2019 to March 1, 2020) and the COVID influenza season (September 1, 2020 to March 1, 2021).  Results  The influenza vaccination rate was statistically significant with a rise from 51.9% pre-pandemic to 72.4% post-pandemic (unadjusted odds ratio (OR) 2.437; 95% confidence interval (CI), 1.64- 3.62; p=0.001). The TDAP vaccination rates remained consistent from the pre-pandemic rate of 65.6% to the pandemic rate of 68.6% (p=0.435).  Conclusion We concluded that the pandemic had a positive impact on influenza vaccination rates in the pregnant population.

Indexed as

african americancovid-19 retroinfluenzapregnancyvaccination

Identifiers

PMID36426337
PMCPMC9681703
OpenAlexW4307199145

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.