Lessons and Challenges to be learned from different countries policy implication on COVID 19 recovery cases- A cross-sectional descriptive study
Abstract Background- The need to quantify the non-pharmaceutical measures in policy decision making is essential in current uncertain times of pandemic. The purpose of the current study is to quantify the relationship between Social Distancing measures and the Total number of tests performed with the Total number of recovered cases across 23 countries around the world, currently struck by COVID-19 pandemic.Methods- The cross-sectional descriptive study utilized STATA 16. for Poisson Model analysis using data collected across 23 countries. The statistical databases Statista, WHO situation reports, CDC website, respective country health ministry websites, and World Bank data was utilized to collected the lacking data details regarding COVID-19. The WHO regions/23 countries included in analysis are Republic of Korea, Japan, Australia, Malaysia, Philippines, Thailand, India, United States of America, Canada, Italy,Germany,United Kingdom,France,Austria,Croatia,Israel,Russian Federation,Spain,Belgium,Finland,Sweden,Switzerland,Iran (Islamic Republic of). The variables included in analysis are The factorial analysis of categorical data is included to quantify the levels of social distancing measures and its effect on the total number of recovered cases until April 2nd, 2020. Results- There exists a positive relationship between the improved number of recovered infected cases, and Social distancing measures of lockdown, the total number of tests performed depending on the stage at which it is completed. The availability of total medical doctors in each country affects the number of recovered cases in that particular country. Conclusion- Future studies might use it as a foundation for evaluation modeling in public health for policy decision making.