ABSTRACT
Background: The COVID-19 pandemic lockdown resulted in the disruption of health services in Zimbabwe. The objectives of this study were two-fold. First, the study sought to determine the impact of the lockdown on maternal and perinatal outcomes at two tertiary hospitals in Harare, Zimbabwe, using a maternal audit. Second, the study sought to estimate the potential effect of COVID-19 related decreases in coverage of maternal and newborn health interventions on maternal, and neonatal mortality in Zimbabwe using the Lives Saved Tool (LiST).
ABSTRACT
Background: As the COVID-19 outbreak unfolds, more and more pregnant women are infected with SARS-CoV-2, concerns have been raised about its clinical manifestations in pregnancy and the potential risk of vertical transmission from mother to fetus in pregnant women. Hence, in this review, we summarize the latest research progress related to COVID-19 epidemiology and the reported data of pregnant women with COVID-19. Patients and methods: We searched databases for all case reports and series from 20 February 2020 to 30 April 2021. Multiple terms and combinations were used including COVID-19, pregnancy, maternal mortality, maternal morbidity, complications, clinical manifestations, neonatal morbidity, intrauterine fetal death, neonatal mortality and SARS-CoV-2. and quantitative real-time polymerase chain reaction (PCR) or dual fluorescence PCR-confirmed SARS-CoV-2 infection. Unpublished reports, unspecified date and location of the study or suspicion of duplicate reporting, cases with suspected COVID-19 that were not confirmed by a laboratory test, and unreported maternal or perinatal outcomes were excluded. Data on clinical manifestations, maternal and perinatal outcomes including vertical transmission were extracted and analyzed.
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Introduction: Since the beginning of the pandemic, the Italian Obstetric Surveillance System (ItOSS) coordinated research activities to support health professionals and decision makers. The aim of this paper is to describe the results of the populationbased prospective study on SARS-CoV-2 infection among pregnant women during the first pandemic wave. Materials and methods: From the end of February 2020, ItOSS launched a prospective population-based cohort study enrolling all SARSCoV- 2 pregnant women admitted to any Italian hospital. Anamnestic and clinical information was collected in a structured form and entered in a web-based secure system by trained clinicians of any maternity unit.
ABSTRACT
Introduction: Coronavirus disease-2019 (COVID-19) pandemic has changed health care drastically, especially looking at how obstetrics functions. This places mothers in a situation of greater psychological vulnerability and heightens the risk of postpartum depression and disrupted mother-infant bonding, which may be weighted or worsened by the balance of the couple. We expect this impact to be even greater in vulnerable mothers in the context of dysfunctioning social services. This study intends to identify the incidence of postpartum depression in women delivering during COVID-19 pandemic among lockdown protocols in a tertiary center in Navi Mumbai and identify its sociocultural triggers so that strategies may be evolved to reduce the morbidity costs attributable to the mother and child in the future. Materials and methods: This study was a cross-sectional study, performed over a period of 2 months from June 2020 to August 2020 at DY Patil School of Medicine and Dr DY Patil Hospital, a teaching hospital in Western India. Two hundred postnatal mothers were recruited for the study in the postpartum period from 1 to 6 weeks after delivery. A specially designed questionnaire was used to record various determinants to assess the risk factors, which could contribute to postpartum depression. A predesigned and pretested questionnaire (EDPS-Edinburgh Postnatal Depression Scale) was used to detect the depressive symptoms in postnatal mothers. The results for qualitative data were presented in frequency and percentage. Binary logistic regression was used to predict the contribution of each independent risk factor to arrive at the depression level, which happens to be the dependent risk factor in this study. The statistical analysis was done by using SPSS 21.0. The significant level was used at p < 0.05.