IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i20p13522-d946728.html
   My bibliography  Save this article

Clusters of Pregnant Women with Severe Acute Respiratory Syndrome Due to COVID-19: An Unsupervised Learning Approach

Author

Listed:
  • Isadora Celine Rodrigues Carneiro

    (Instituto Carlos Chagas, Fundação Oswaldo Cruz, Curitiba 81310-020, Brazil)

  • Sofia Galvão Feronato

    (Instituto Carlos Chagas, Fundação Oswaldo Cruz, Curitiba 81310-020, Brazil)

  • Guilherme Ferreira Silveira

    (Instituto Carlos Chagas, Fundação Oswaldo Cruz, Curitiba 81310-020, Brazil)

  • Alexandre Dias Porto Chiavegatto Filho

    (Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo 01246-904, Brazil)

  • Hellen Geremias dos Santos

    (Instituto Carlos Chagas, Fundação Oswaldo Cruz, Curitiba 81310-020, Brazil)

Abstract

COVID-19 has been widely explored in relation to its symptoms, outcomes, and risk profiles for the severe form of the disease. Our aim was to identify clusters of pregnant and postpartum women with severe acute respiratory syndrome (SARS) due to COVID-19 by analyzing data available in the Influenza Epidemiological Surveillance Information System of Brazil (SIVEP-Gripe) between March 2020 and August 2021. The study’s population comprised 16,409 women aged between 10 and 49 years old. Multiple correspondence analyses were performed to summarize information from 28 variables related to symptoms, comorbidities, and hospital characteristics into a set of continuous principal components (PCs). The population was segmented into three clusters based on an agglomerative hierarchical cluster analysis applied to the first 10 PCs. Cluster 1 had a higher frequency of younger women without comorbidities and with flu-like symptoms; cluster 2 was represented by women who reported mainly ageusia and anosmia; cluster 3 grouped older women with the highest frequencies of comorbidities and poor outcomes. The defined clusters revealed different levels of disease severity, which can contribute to the initial risk assessment of the patient, assisting the referral of these women to health services with an appropriate level of complexity.

Suggested Citation

  • Isadora Celine Rodrigues Carneiro & Sofia Galvão Feronato & Guilherme Ferreira Silveira & Alexandre Dias Porto Chiavegatto Filho & Hellen Geremias dos Santos, 2022. "Clusters of Pregnant Women with Severe Acute Respiratory Syndrome Due to COVID-19: An Unsupervised Learning Approach," IJERPH, MDPI, vol. 19(20), pages 1-13, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13522-:d:946728
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/20/13522/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/20/13522/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Caroline Benski & Daria Di Filippo & Gianmarco Taraschi & Michael R. Reich, 2020. "Guidelines for Pregnancy Management During the COVID-19 Pandemic: A Public Health Conundrum," IJERPH, MDPI, vol. 17(21), pages 1-17, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paulina Malarkiewicz & Stanisław Maksymowicz & Maria Libura, 2022. "Mother’s Loneliness: Involuntary Separation of Pregnant Women in Maternity Care Settings and Its Effects on the Experience of Mothers during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(9), pages 1-13, April.
    2. Aleksandra Wesołowska & Magdalena Orczyk-Pawiłowicz & Agnieszka Bzikowska-Jura & Małgorzata Gawrońska & Bartłomiej Walczak, 2022. "Protecting Breastfeeding during the COVID-19 Pandemic: A Scoping Review of Perinatal Care Recommendations in the Context of Maternal and Child Well-Being," IJERPH, MDPI, vol. 19(6), pages 1-26, March.
    3. Hyun-Bin Kim & Ah-Hyun Hyun, 2022. "Psychological and Biochemical Effects of an Online Pilates Intervention in Pregnant Women during COVID-19: A Randomized Pilot Study," IJERPH, MDPI, vol. 19(17), pages 1-12, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13522-:d:946728. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.