The coronavirus COVID-19 pandemic is today’s major public health crisis, we have faced since the Second World War. The pandemic is spreading around the globe like a wave, and according to the World Health Organization’s recent report, the number of confirmed cases and deaths are rising rapidly. COVID-19 pandemic has created severe social, economic, and political crises, which in turn will leave long-lasting scars. One of the countermeasures against controlling coronavirus outbreak is specific, accurate, reliable, and rapid detection technique to identify infected patients. The availability and affordability of RT-PCR kits remains a major bottleneck in many countries, while handling COVID-19 outbreak effectively. Recent findings indicate that chest radiography anomalies can characterize patients with COVID-19 infection. In this study, Corona-Nidaan, a lightweight deep convolutional neural network (DCNN), is proposed to detect COVID-19, Pneumonia, and Normal cases from chest X-ray image analysis; without any human intervention. We introduce a simple minority class oversampling method for dealing with imbalanced dataset problem. The impact of transfer learning with pre-trained CNNs on chest X-ray based COVID-19 infection detection is also investigated. Experimental analysis shows that Corona-Nidaan model outperforms prior works and other pre-trained CNN based models. The model achieved 95% accuracy for three-class classification with 94% precision and recall for COVID-19 cases. While studying the performance of various pre-trained models, it is also found that VGG19 outperforms other pre-trained CNN models by achieving 93% accuracy with 87% recall and 93% precision for COVID-19 infection detection. The model is evaluated by screening the COVID-19 infected Indian Patient chest X-ray dataset with good accuracy.

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Introduction: Pregnant women have also been affected globally due to the Coronavirus Disease 2019 (COVID-19) pandemic. As foeto-maternal unit is involved, hence it is important to know possible manifestations and outcome of COVID-19 affected pregnant women. The findings of the study can be a guide for betterment of COVID-19 affected antenatal patients care. Aim: To find the outcome of pregnancies affected by the COVID- 19 infection of the Antenatal care (ANC) patients who presented to the tertiary care hospital in terms of laboratory parameters, treatment of the infection, mode of delivery, adverse outcome if and presence of documented infection in newborn. Materials and Methods: This was a retrospective observational study done from May 2020 to December 2020 conducted on the admitted pregnant women to the tertiary care hospital who tested positive for the COVID-19 virus were included in the study. Data collection (symptoms, reports and treatment) from these pregnant COVID-19 positive patients was done. Patients who were discharged before delivery were contacted telephonically and were asked the relevant information. Results: During the study period, total 1150 COVID-19 positive patients were admitted to the hospital. Amongst these, there were 441 female patients including pregnant and non pregnant women. Amongst the 441 COVID-19 infected female patients, 20 were pregnant. Majority of the patients were in the age group of 21-30 years. An 85% of women were in their third trimester at the time of admission. Pre-eclampsia and Hypothyroidism were the major co-morbidities observed. Six maternal Intensive Care Unit (ICU) admissions were noted. Breathlessness was the main symptom seen followed by sore throat, fever and cough. Previous Lower Segment Caesarean Section (LSCS) and foetal distress were cited as the main reasons for undergoing LSCS. No vertical transmission of virus was seen in the study. There were two neonatal ICU admission. Low Molecular Weight Heparin (LMWH) was administered to 33% patients. Fifty percent of the patients were prescribed steroids. Conclusion: Advanced gestational age, pre-eclampsia, hypothyroidism, elevated levels of d-dimer, Neutrophil/Lymphocyte (NL) ratio and C-reactive protein were seen as the main findings. Mother to child transmission was not observed in this study.