Evidence map›Paper›PMID 36920919›Full record

ArticlePloS one2023

Maternal COVID-19 infection and associated factors: A cross-sectional study.

Mwansa Ketty Lubeya, Jane Chanda Kabwe, Moses Mukosha, Selia Ng'anjo Phiri, Christabel Chigwe Phiri, Malungo Muyovwe, Joan T Price, Choolwe Jacobs, Patrick Kaonga

Open access · goldFull text read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 6 institutions in 4 countries.

Mwansa Ketty LubeyaDepartment of Obstetrics and Gynaecology, School of Medicine, The University of Zambia, Lusaka, Zambia.ORCID 0000-0002-8526-3410
Jane Chanda KabweYoung Emerging Scientists, Lusaka, Zambia.
Moses MukoshaSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Selia Ng'anjo PhiriDepartment of Obstetrics and Gynaecology, School of Medicine, The University of Zambia, Lusaka, Zambia.
Christabel Chigwe PhiriYoung Emerging Scientists, Lusaka, Zambia.
Malungo MuyovweDepartment of Internal Medicine, Levy Mwanawasa University Teaching Hospital, Lusaka, Zambia.
Joan T PriceUniversity of North Carolina Global Projects - Zambia, LLC, Lusaka, Zambia.
Choolwe JacobsDepartment of Epidemiology and Biostatistics, School of Public Health, University of Zambia, Lusaka, Zambia.
Patrick KaongaDepartment of Epidemiology and Biostatistics, School of Public Health, University of Zambia, Lusaka, Zambia.
University Teaching Hospital · ZMUniversity of the Witwatersrand · ZAJohns Hopkins University · USNational Heart Hospital · BGUniversity of North Carolina at Chapel Hill · USUniversity of Zambia · ZM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the declaration of COVID-19 as a global pandemic, several studies have been conducted to examine associated factors. However, few studies have focused on pregnant women infected with COVID-19 in sub-Saharan Africa. Therefore, this study investigated the prevalence and factors associated with COVID-19 infection among pregnant women at the Levy Mwanawasa University Teaching Hospital and Women and Newborn Hospital of the University Teaching Hospitals in Lusaka, Zambia.

methodsA cross-sectional study was conducted between March and July 2021. Women were recruited as they presented for antenatal care. Data was collected using a structured questionnaire to capture variables of interest (socio-demographic, clinical and obstetric). COVID-19 diagnosis was made using a nasopharyngeal swab by PCR test. Multivariable logistic regression was used to control for confounding and calculate the odds ratios for each explanatory variable and respective 95% confidence intervals.

resultsThe study enrolled 352 participants with a mean (standard deviation [SD]) age of 30.1 years (5.6). One hundred thirty of 352 (36.9%; 95% CI: 31.9 to 42.2) participants had a confirmed positive SARS-CoV-2 test result. At univariable analysis, factors associated with COVID-19 were increased gestational age, education status and maternal HIV serostatus. Women with a secondary level of education were less likely to have COVID-19 infection than those with a primary level of education (AOR = 0.23, 95% CI: 0.09-0.63). On the other hand, a one-week increase in gestational age was associated with higher odds of COVID-19 infection (AOR = 1.03, 95% CI: 1.01-1.06).

conclusionThe results showed that the prevalence of COVID-19 infection among pregnant women was 36.9% and was associated with increased gestational age and a lower level of education. To mitigate adverse maternal outcomes, there is a need to screen for COVID-19 strictly and broadly monitor prenatal women presenting for healthcare.

Indexed as

COVID-19AdultCOVID-19 TestingCross-Sectional StudiesFemaleHumansInfant, NewbornPregnancyPrenatal CareRisk FactorsSARS-CoV-2Zambia

Identifiers

PMID36920919
PMCPMC10016676
OpenAlexW4324311043

What OpenQuestion holds

Textfull text, public
LicenceCC0
measurements read35
identifiers read3
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.