This study is an attempt to find and analyze the correlation between Covid-19 pandemic and weather conditions in Indian context. Secondary data analysis of surveillance data of COVID-19 is taken from Wikipedia (updating information from World Health Organization) & statista.com and weather data through Power Data Access Viewer (DAV) (power.Iarc.nasa.gov) from NASA after mentioning latitude and longitude of India. The minimum temperature (C) at 2 metre, maximum temperature (C) at 2 metre, temperature (C) at 2 metre and relative humidity (%) are taken as component of weather. To find the association, Spearman's rank correlation test was applied. The minimum, maximum temperature (C) at 2 m, temperatures (C) at 2 m and humidity at 2 m are significantly correlated with COVID-19 pandemic cases (r = 0.93, 0.94, 0.83, and 0.30) at 99% two-tailed significance level. The findings serve as an initial evidence to reduce the incidence rate of COVID-19 in India and useful in policy making.
COVID-19, which was initiated regionally at Wuhan of China, has become a global pandemic by infecting people of almost all the world. Human civilizations are facing threat for their survival and livelihood. No country are getting any substantial relief and solution from this pandemic rather to convince their citizens to make aware and taking precaution by changing their living style. In view of this, this study attempted to assess the awareness, threat, symptoms and its prevention among people of India about the COVID-19. A total of 522 responses from all over India were received. The respondents have adequate awareness for COVID-19 outbreak and its preventive measures, out of total, 98% (513) answered that the virus spreads from one person to another, 95% (494) answered that the disease is caused by a virus. Peoples understand the importance of social distancing and other preventive measures prescribed by the government with good attitude for coronavirus. Peoples are following trusted sources for corona information, having confidence to defeat disease but showed their concern for corona threat, are aware about the virus, its common symptoms and prevention, govt. testing and medical facilities. Principal component analysis was used to identify the latent dimensions regarding people's preventive measures and was found that they are majorly adopting three methods, that is, lockdown, naturopathy and social distancing. This study will help government and peoples to understand and handle this coronavirus pandemic effectively and in prevention of COVID-19, which is crucial for the awareness of society in coming time. 1 | INTRODUCTION COVID-19 started from one city of China in December 2019, but in a short span of time, it covered almost all over the world (WHO, 2020b). Nearly 216 countries of the whole world are struggling for their civilization and livelihood against the coronavirus pandemic. On January 11, 2020, China declared first death of their 61 years old citizen due to COVID-19, who was exposed to the seafood market (WHO, 2020b), but now death reached exponentially to 357,736 on 29th May 2020 (WHO, 2020a). On February 11, 2020, WHO announced this coronavirus disease as COVID-19 (WHO, 2020c) and pandemic on March 11, 2020, after reaching the virus infection to 114 countries across the world. COVID-19 and SARS coronavirus are similar and because it is becoming a big threat to human civilization as consequences, online awareness programs were initiated and conducted worldwide by WHO (2020c). Proper strategies and funds were set up by WHO globally to protect the countries with special focus to poor and weaker health infrastructure developing countries. The aim was to reduce the virus communication in society, dissemination of crucial information, providing proper healthcare and to minimize social and economical loss. WHO also focused on establishing an easy and effective diagnostic system to prevent infection (WHO 2020c). To prevent the infection socially, the lockdown was imposed globally, which resulted in the ha...
In this paper, we have proposed a new Ratio Type Estimator using auxiliary information on two auxiliary variables based on Simple random sampling without replacement (SRSWOR). The proposed estimator is found to be more efficient than the estimators constructed by Olkin (1958), Singh (1965), Lu (2010 and Singh and Kumar (2012) in terms of second order mean square error.
This article suggests a generalized class of estimators for population median of the study variable in simple random sampling using information on an auxiliary variable. Asymptotic expressions of bias and mean square error of the proposed class of estimators have been obtained. Asymptotic optimum estimator has been investigated along with its approximate mean square error. It has been shown that proposed generalized class of estimators are more efficient than estimators considered by 
Amid the COVID-19 contamination, people are bound to use contactless FinTech payment services. Because of restrictions on physical movement and avoidance of touching physical money, people willingly choose mobile payment, resulting in enormous growth in FinTech payment service industries. Because of this, this study aims to examine the effect of factors affecting Gen X and Millennials users to use FinTech payment services.
The authors used 328 responses collected through convenience sampling of Indian users aged between 26 and 57 years in the Delhi-NCR region who are users of FinTech payment services.
The authors’ findings verified that in India, perceived COVID-19 risk, perceived severity for COVID, individual mobility, subjective norms, perceived ease of use and perceived usefulness have statistically significant impacts on FinTech payment services during the COVID-19 pandemic. Structural equation modelling was used to study the proposed research model. Overall, the model predicted 76.9 % of the variation in intention to use FinTech payment services by the abovesaid variables by Indian users during a pandemic.
This study will provide valuable insight to all FinTech service providers and stakeholders in planning and designing the concerned policy. It will be able to draw the attention of users more.
This research added a valuable theory to the existing technology adoption model (TAM) theory. It demonstrated the utility of the above variables in adopting and using FinTech payment services, which will help service providers to develop future strategies because of the COVID-19 pandemic.
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