Effect of COVID-19 on Pregnant Women and Newborn Baby of Tertiary Care Hospitals, Dhaka, Bangladesh
Year: 2025
Type: article
Abstract: The 2019 Coronavirus Disease pandemic has affected pregnant women who are particularly susceptible to respiratory infections, but insufficient research has been conducted targeting their pregnancy outcomes. This study was undertaken to document data from tertiary care hospitals in Bangladesh effect of COVID-19 on pregnant women and newborn babies. A convenience sampling strategy was employed to collect a total of 101 samples conducted in two tertiary care hospitals in Dhaka, Bangladesh from January to December 2021. All the RT–PCR–positive cases were enrolled. Data was collected by a structured, predesigned, and pre-tested questionnaire. Data was analyzed using Microsoft Excel and SPSS. Among 101 coronavirus-positive pregnant women more than 45% of the cases were in the age group of 30-34 yrs. 52.5% had COVID-19 symptoms 35.6% were admitted to the hospital. Among them, 86.1% had taken LSCS delivery and 86.1% of them had delivered their term baby. Only 13.9% of newborn babies needed NICU admission. Among the 101 respondents only 01 (0.99%) respondents reported that Vertical transmission occurs. 86.1% delivered babies with average birth weight and about 88.1% of respondents gave breastfeeding to their newborn baby. COVID-19 infection during pregnancy increases the risk of many complications, including cesarean birth. Vertical gearbox could not be confirmed, but it was also possible. Healthcare workers can use these to efficiently manage COVID-19-infected pregnant women, reducing maternal and newborn morbidity and mortality.
Authors: Islam, Mohammad Shaiful, Begum, Mosammat Shahina, Rashid, Farzana, Kana, Begum Shamsun Nahar, Ara, Anjuman, Afreen, Humaira, Sayeda, Shaikh Kaniz, Islam, Nahida, Monalisa, Tarana Fariah, Rizwana, Kashfi, Biva, Sadia Anjum, Naznin, Maliha
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7086922009
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