Covid Analysis Prediction Using Densenet Method in Deep Learning

Coronavirus is a quickly spreading viral sickness that infects people, yet in addition creatures as well. Clinical research of COVID-19-tainted patients revealed that these individuals are frequently infected by a lung infection as a result of their interactions with this Corona Virus Disease. Chest CT-scans images are used for diagnosing lungs related problems. Deep learning is the best method of AI, which gives valuable examination to consider a lot of chest CT-Scan pictures that can fundamentally effect on screening of Covid-19. Image and statistical data were used for the evaluation of accuracy and mean value analysis. The DenseNet method is one of the Convolutional Neural Network methods, which achieves better performance during image pre-processing and prediction. The accuracy of our proposed system is up to 95 to 97%, respectively. This kind of system helps to analyze the COVID-19 infection in its early stages. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Impact of Coastal Disasters on Women in Urban Slums: A New Index

Coastal hazards, particularly cyclones, floods, erosion and storm surges, are emerging as a cause for major concern in the coastal regions of Vijayawada, Andhra Pradesh, India. Serious coastal disaster events have become more common in recent decades, triggering substantial destruction to the low-lying coastal areas and a high death toll. Further, women living in informal and slum housing along the Vijayawada coastline of Andhra Pradesh (CAP), India, suffer from multiple social, cultural and economic inequalities as well. These conditions accelerate and worsen women’s vulnerability among this coastal population. The existing literature demonstrates these communities’ susceptibility to diverse coastal disasters but fails to offer gender-specific vulnerability in urban informal housing in the Vijayawada area. Accordingly, the current study developed a novel gender-specific Women’s Coastal Vulnerability Index (WCVI) to assess the impact of coastal disasters on women and their preparedness in Vijayawada. Field data was collected from over 300 women through surveys (2) and workshops (2) between November 2018 and June 2019, and Arc-GIS tools were used to generate vulnerability maps. Results show that women are more vulnerable than men, with a higher death rate during coastal disaster strikes. The current study also found that gender-specific traditional wear is one of the main factors for this specific vulnerability in this area. Furthermore, the majority of the women tend to be located at home to care for the elders and children, and this is associated with more fatalities during disaster events. Homes, particularly for the urban poor, are typically very small and located in narrow and restricted sites, which are a barrier for women to escape from unsafe residential areas during disasters. Overall, the research reveals that most of the coastal disaster events had a disproportionately negative impact on women. The results from this present study offer valuable information to aid evidence-based policy- and decision-makers to improve existing or generate innovative policies to save women’s lives and improve their livelihood in coastal areas.

Impact of Covid-19 on Informal Sector: A Study of Women Domestic Workers in India

The COVID-19 pandemic has left severe impact on livelihood, security and health of informal sector workers, especially domestic workers, majority of whom are women. Being least organised and lacking institutional support, domestic workers are extremely vulnerable to exploitation and human rights violations, and the pandemic has aggravated the situation. Telephonic interviews were conducted with 260 domestic workers from three cities, namely Delhi, Mumbai and Kochi with focus on working conditions, livelihood and household dynamics, health scenario and state support during the pandemic. The data was substantiated with qualitative inputs from in-depth interviews conducted with 12 domestic workers across the cities. In the results, widespread job loss is reported among domestic workers during March?June 2020 along with drastically reduced income and increased workload. About 57% domestic workers reported stigma and discrimination at workplace, and 40% worked without any safety measures. Incidence of domestic violence at home, increased work burden at home, issues in access to health care, etc., were reported. The study findings point out the urgent need to have a national-level policy and state support specifically targeting women domestic workers, without which the situation of poverty, health hazards and social exclusion will continue to exist.JEL Code: J4, J46

COVID-19 and Comorbidities: Audit of 2,000 COVID-19 Deaths in India.

BACKGROUND: On September 5, 2020, India reported the second highest COVID-19 cases globally. Given India's unique disease burden including both infectious and chronic diseases, there is a need to study the survival patterns of COVID-19. We aimed to describe the factors associated with COVID-19 deaths in the State of Tamil Nadu that has the highest COVID-19 case burden among the Indian states, and to compare deaths among COVID patients with and without comorbidities. METHODS: We analyzed the first 1000 COVID deaths (1 March to 26 June 2020) and 1000 recent deaths at the time of analysis (1-10 August 2020). We examined data on facility (public vs private), age, gender, duration of illness prior to and/or during hospitalizations, symptoms, comorbidities and cause of death. We used R statistical program to do the analysis. We compared deaths among patients with and without comorbidities using Wilcoxon rank sum test. p < 0.05 was considered significant. RESULTS: First, we found a shorter time interval from onset of symptoms to death in India than that was reported in the USA and China. Second, young adults without comorbidities had shorter survival from the time of onset of symptoms irrespective of their timing of hospitalization. Third, hypothyroidism is a COVID-19 associated co-morbidity. Longitudinal studies are needed to further assess the thyroid-COVID-19 link. CONCLUSION: As COVID-19 infection rates are accelerating rapidly in India, it is crucial to sensitize young adults while protecting the elderly and other vulnerable populations.

Debate: COVID-19 and children in India.

The COVID-19 pandemic impact on children is a growing concern. The United Nations and its agencies (the World Health Organization and UNICEF), Indian Association For Child and Adolescent Mental Health and National Institute of Mental Health and Neuroscience in India warn about the broader impacts on children and call for urgent action to support the world's children amidst the pandemic which may have lasting consequences. The COVID-19 pandemic and unprecedented control measures to prevent its spread have disrupted nearly every aspect of children's lives - their health, development, learning, behaviour and their families' economic security, including protection from violence and abuse. Given this background, there is an urgent need for action through screening to minimize the mental health issues of children in India who constitute a substantial proportion of the population.