Evidence map›Paper›PMID 34478463›Full record

ArticlePloS one2021

COVID-19 prevalence, symptoms, and sociodemographic disparities in infection among insured pregnant women in Northern California.

Jennifer L Ames, Assiamira Ferrara, Lyndsay A Avalos, Sylvia E Badon, Mara B Greenberg, Monique M Hedderson, Michael W Kuzniewicz, Yinge Qian, Kelly C Young-Wolff, Ousseny Zerbo and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

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  14. Epidemiological and clinical characteristics of pregnant women and neonates with COVID-19 in Northwest Mexico.American journal of reproductive immunology (New York, N.Y. : 1989) · 2022
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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

12 authors at 1 institution in 1 country.

Jennifer L AmesDivision of Research Kaiser Permanente Northern California, Oakland, CA, United States of America.ORCID 0000-0003-0906-9162
Assiamira FerraraDivision of Research Kaiser Permanente Northern California, Oakland, CA, United States of America.
Lyndsay A AvalosDivision of Research Kaiser Permanente Northern California, Oakland, CA, United States of America.
Sylvia E BadonDivision of Research Kaiser Permanente Northern California, Oakland, CA, United States of America.
Mara B GreenbergDepartment of Obstetrics and Gynecology, East Bay, Kaiser Permanente Northern California, Oakland, CA, United States of America.
Monique M HeddersonDivision of Research Kaiser Permanente Northern California, Oakland, CA, United States of America.
Michael W KuzniewiczDivision of Research Kaiser Permanente Northern California, Oakland, CA, United States of America.
Yinge QianDivision of Research Kaiser Permanente Northern California, Oakland, CA, United States of America.
Kelly C Young-WolffDivision of Research Kaiser Permanente Northern California, Oakland, CA, United States of America.
Ousseny ZerboDivision of Research Kaiser Permanente Northern California, Oakland, CA, United States of America.
Yeyi ZhuDivision of Research Kaiser Permanente Northern California, Oakland, CA, United States of America.
Lisa A CroenDivision of Research Kaiser Permanente Northern California, Oakland, CA, United States of America.
Kaiser Permanente · US

Funding

Maternal Inflammation during Pregnancy and Neurodevelopmental DisordersR01HD095128 · NICHD · KAISER FOUNDATION RESEARCH INSTITUTE · PI CROEN, LISA A, VAN DE WATER, JUDY A. · 2018 to 2022
$3.4M
Identifying Risk Factors for Prenatal Substance and Polysubstance UseK01DA043604 · NIDA · KAISER FOUNDATION RESEARCH INSTITUTE · PI YOUNG-WOLFF, KELLY CORINNE · 2017 to 2021
$907k
Interactions of Environmental Chemical Mixtures, Genetics, and Immune Pathways in Autism Spectrum DisorderR00ES032481 · NIEHS · KAISER FOUNDATION RESEARCH INSTITUTE · PI AMES, JENNIFER LISA · 2023 to 2025
$747k
Fetal Programming of Growth and Obesity: A Metabolomics ApproachK01DK120807 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI ZHU, YEYI · 2019 to 2022
$699k
Effect of Maternal Influenza Vaccination during Pregnancy on Risk of Infant InfluenzaK01AI139275 · NIAID · KAISER FOUNDATION RESEARCH INSTITUTE · PI ZERBO, OUSSENY · 2018 to 2022
$648k
Using a 24-Hour Movement Framework to Improve Pregnancy OutcomesK99HD100585 · NICHD · KAISER FOUNDATION RESEARCH INSTITUTE · PI BADON, SYLVIA E · 2020 to 2021
$280k
Interactions of Environmental Chemical Mixtures, Genetics, and Immune Pathways in Autism Spectrum DisorderK99ES032481 · NIEHS · KAISER FOUNDATION RESEARCH INSTITUTE · PI AMES, JENNIFER LISA · 2021 to 2022
$246k
NIAID NIH HHS K01 AI139275NICHD NIH HHS K99 HD100585NICHD NIH HHS R01 HD095128NIDA NIH HHS K01 DA043604NIDDK NIH HHS K01 DK120807NIEHS NIH HHS K99 ES032481NIEHS NIH HHS R00 ES032481
6 · The paper itself

Abstract

backgroundResearch on COVID-19 during pregnancy has mainly focused on women hospitalized for COVID-19 or other reasons during their pregnancy. Little is known about COVID-19 in the general population of pregnant women.

objectiveTo describe the prevalence of COVID-19, symptoms, consequent healthcare use, and possible sources of COVID-19 exposure among a population-based sample of pregnant women residing in Northern California.

methodsWe analyzed data from 19,458 members of Kaiser Permanente Northern California who were pregnant between January 2020 and April 2021 and responded to an online survey about COVID-19 testing, diagnosis, symptoms, and their experiences during the COVID-19 pandemic. Medical diagnosis of COVID-19 during pregnancy was defined separately by self-report and by documentation in electronic health records (EHR). We examined relationships of COVID-19 with sociodemographic factors, underlying comorbidities, and survey measures of COVID-19-like symptoms, consequent healthcare utilization, and possible COVID-19 exposures.

resultsAmong 19,458 respondents, the crude prevalence of COVID-19 was 2.5% (n = 494) according to self-report and 1.4% (n = 276) according to EHR. After adjustment, the prevalence of self-reported COVID-19 was higher among women aged <25 years compared with women aged ≥35 years (prevalence ratio [PR], 1.75, 95% CI: 1.23, 2.49) and among Hispanic women compared with White women (PR, 1.91, 95% CI: 1.53, 2.37). Prevalence of self-reported COVID-19 was higher among women affected by personal or partner job loss during the pandemic (PR, 1.23, 95% CI: 1.02, 1.47) and among women living in areas of high vs. low neighborhood deprivation (PR, 1.74, 95% CI: 1.33, 2.27). We did not observe differences in self-reported COVID-19 between women with and without underlying comorbidities. Results were similar for EHR-documented COVID-19. Loss of smell or taste was a unique and common symptom reported among women with COVID-19 (42.3% in self-reported; 54.0% in EHR-documented). Among women with symptomatic COVID-19, approximately 2% were hospitalized, 71% had a telehealth visit, and 75% quarantined at home. Over a third of women with COVID-19 reported no known exposure to someone with COVID-19.

conclusionsObserved COVID-19 prevalence differences by sociodemographic and socioeconomic factors underscore social and health inequities among reproductive-aged women. Women with COVID-19 reported unique symptoms and low frequency of hospitalization. Many were not aware of an exposure to someone with COVID-19.

Indexed as

PandemicsAdolescentAdultCaliforniaCOVID-19COVID-19 TestingElectronic Health RecordsFemaleHispanic or LatinoHumansPregnancyPregnant PeopleSARS-CoV-2Self ReportSocioeconomic FactorsSurveys and Questionnaires

Identifiers

PMID34478463
PMCPMC8415576
OpenAlexW3196836994

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.