Issue |
BIO Web Conf.
Volume 152, 2025
International Conference on Health and Biological Science (ICHBS 2024)
|
|
---|---|---|
Article Number | 01014 | |
Number of page(s) | 7 | |
Section | Dense Matter | |
DOI | https://doi.org/10.1051/bioconf/202515201014 | |
Published online | 20 January 2025 |
Analysis of determinant factors with the severity of COVID-19 in pregnancy
1 Midwifery Study Program, Faculty of Health, Universitas Harapan Bangsa, Banyumas, Central Java, Indonesia
2 Midwifery Study Program, Faculty of Medicine, Universitas Pendidikan Ganesha, Singaraja, Bali, Indonesia
3 Batin Mangunang Regional General Hospital, Tanggamus, Lampung, Indonesia
* Corresponding author: lindayanti@uhb.ac.id
In Indonesia as well as other countries, pregnant women are considerably more likely to have COVID-19. According to data, 1.3% of pregnant women with the infection needed mechanical breathing and intensive care unit treatment. The purpose of this study was to ascertain the association between the severity of COVID-19 in pregnant women and variables such age, gestational age, blood type, immunization status, and comorbidities. 40 pregnant women having a COVID-19 diagnosis between 2021 and 2023 were sampled for a correlational study design at a Lampung hospital. The Pearson correlation test was utilized for data analysis. The findings demonstrated a significant relationship between COVID-19 severity and gestational age, blood type, and immunization status (p-value <0.05). On the other hand, there was no statistically significant correlation between maternal age and comorbidities (p-value >0.05). Early gestational age, certain blood types (A, B, and AB), and immunization status are important factors impacting the severity of COVID-19 in pregnant women, according to the study’s findings. In order to lessen the severity of COVID-19, health care practitioners are urged to ensure that pregnant women receive vaccinations and to provide close monitoring during the first trimester of pregnancy, particularly for those with blood types A, B, or AB.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.