Ever Changing Statistics of COVID-19 and its Movement
Sasha Kravets, Xiaohan Mei, Avisek Datta, Debarghya Nandi, Rathi Dasgupta, Dulal K. Bhaumik
Abstract
Abstract This study focuses on the concordance of different data sources (e.g. World Health Organization, Centers for Disease Control and Prevention etc.) used for reporting of country wise confirmed COVID-19 infection cases and death rates. It discusses how to estimate related covariates in order to predict COVID-19 confirmed cases and death rates when reporting systems are questionable. It attempts to explain why the pattern of early outbreak of COVID-19 is different from the stabilized portion of the outbreak curve, and examines a long tail nature of its slowing down effect. It also examines the role of temperature, pH level, and humidity in slowing down the spread of COVID-19, and a particular vaccine that many South Asian countries use to protect children from tuberculosis. To illustrate these ideas, the study focuses on China, Italy, Spain, France, South Korea, and the United States, and reveals the policies for varying trends of confirmed cases and death rates of COVID-19. Keywords BCG vaccine; Concordance; Confirmed cases; COVID-19; Death rate
MeSH terms
- Coronavirus disease 2019 (COVID-19)
- Outbreak
- Concordance
- Geography
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- Tuberculosis
- Demography
- Mortality rate
- Disease control
- 2019-20 coronavirus outbreak
- Disease