The study of transmission dynamics of COVID-19, have depicted the rate, patterns and predictions of the pandemic cases. In order to combat the disease transmission in India, the Government had declared lockdown on the 25th of March. Even after a strict lockdown nationwide, the cases are increasing and have crossed 4.5 lakh positive cases. A positive point to be noted amongst all that the recovered cases are slowly exceeding the active cases. The survival of the patients, taking death as the event that varies over age groups and gender wise is noteworthy. This study aims in carrying out a survival analysis to establish the variability in survivorship among age groups and sex, at different levels, that is, national, state and district level. The open database of COVID-19 tracker (covid19india.org) of India has been utilized to fulfill the objectives of the study. The study period has been taken from the beginning of the first case which was on 30th Jan 2020 till 30th June. Due to the amount of under-reporting of data and dropping missing columns a total of 26,815 sample patients were considered. The entry point of each patient is different and event of interest is death in the study. Kaplan Meier survival estimation, Cox proportional hazard model and multilevel survival model has been used to perform survival analysis. Kaplan Meier survival function, shows that the probability of survival has been declining during the study period of five months. A significant variability has been observed in the age groups, as evident from all the survival estimates, with increasing age the risk of dying from COVID-19 increases. When Western and Central India show ever decreasing survival rate in the framed time period then Eastern , North Eastern and Southern India shows a slightly better picture in terms of survival. Maharashtra, Gujarat, Delhi, Rajasthan and West bengal showed alrmingly poor survival as well. This study has depicted a grave scenario of gradation of ever decreasing survival rates in various regions and shows the variability by age and gender.
Background: Since December 2019, the world has started to suffer an outbreak of Coronavirus disease (COVID-19). Many people associated with community medicines affirmed that lockdown could help in abating the spread. However, this lockdown has changed our daily life habits. This proposed study will strive to observe this unprecedented changes. Aim: To assess the change in behavior or lifestyle among different segments and to understand different opinions and their association with social and psychological changes. Methodology: This study is based on a primary data that has been collected by circulating an online. Questions regarding the lifestyle pattern and behavioral change during the lockdown, perception and awareness about the pandemic has been asked. Tableau and MS-Excel has been used to analyze and present the results in an effective way. Results and Conclusions: Lockdown has its great effects on Internet Usage, workout routine, sleeping pattern, food intake and other lifestyle patterns. The level of awareness is different due to different exposures. Most people were supporting lockdown to stave off COVID-19 even at the cost of their daily bread. The social media can be seen as an integral part of this radical change. People are desperately striving to cope with the 'new normal'.
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