ABSTRACT
COVID-19 has greatly disturbed life in many ways and has changed the way we live. Various surveys have been conducted in different fields, and the teaching-learning process has been affected to a great extent. During this pandemic, various online tools and technologies have been available for guiding students without attending school. Many governments, corporations, and research fields have officially ordered to use of online media for the teaching-learning process. Platforms such as Google Meet, Microsoft Team, and Web-e-X have allowed and arranged for online video conferencing mediums to achieve the goal of the teaching-learning process. However, as mentioned above, there are some serious issues with the online teaching-learning process. These include problems with continuous network bandwidth during sessions, physical and mental presence in the class, difficulties handling mathematics classes, and the potential for non-sense activities that may disturb the entire class. In order to discover knowledge, I am using a new approach to data mining technology called CRISP-DM. This study addresses the effectiveness of online teaching mode and learning and the challenges faced by students and teachers who are taking online classes during COVID-19. According to this study, 88.2% of students did not have proper internet or technology facilities, 58.30% of students were not satisfied with online learning, 85.3% of students complained about eyesight issues from taking online classes on devices, and 50.01% of students were unable to manage university affairs © 2023 Manmohan Singh, Vinod Patidar, Shaheen Ayyub, Anita Soni, Monika Vyas Dharmendra Sharma and Amol Ranadive. This open-access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license
ABSTRACT
Aim: Coronavirus disease 2019 (COVID-19) pandemic is an ongoing emergency with limited data on perinatal outcomes. The aim of the study was to describe key maternal, perinatal, and neonatal outcomes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from low–middle income settings. Materials and methods: We conducted a retrospective observational study in a tertiary level public hospital in India. All pregnant women admitted from May 2020 to July 2020 were included in the study. Maternal demography, medical and obstetric complications, clinical characteristics, and investigations were described. Symptomatic infected women were compared with the asymptomatic group for important outcomes. Key perinatal outcomes such as early pregnancy losses, fetal distress, stillbirths, and placental changes were evaluated. Neonatal characteristics of SARS-CoV-2 positive and negative pregnancies were described and compared. Results: Among the 702 pregnant women enrolled, the incidence of SARS-CoV-2 infection was 16.2%, with the majority being asymptomatic. Infected women had an increased mortality, while symptomatic women had a significant risk of stillbirth. Mean placental weight of infected women was significantly higher. Neonatal infection rate was 9.1%, with 50% manifesting mild respiratory symptoms without any mortality. Conclusion: This study provides a comprehensive description of important antenatal, intrapartum and neonatal complications and outcomes in a low–middle income setting characterized by high disease burden and an overwhelmed health care system. Clinical significance: Incidence of SARS-CoV-2 infection in pregnancy was 16.2%. The symptomatic infected women had increased stillbirth and mortality. Neonatal transmission was seen in 9.1% with good survival.