2021/09/30 by Thilakam Venkatapathi, Venkatapathi, Thilakam, Murugesan Venkatapathi +1
Economics, Econometrics and Finance · Mathematics · Medicine · #COVID-19 epidemiological studies #FOS: Physical sciences #Health Systems, Economic Evaluations, Quality of Life #Physics and Society (physics.soc-ph) #SARS-CoV-2 and COVID-19 Research #Viral Infections and Outbreaks Research
paper · pdf · doi:10.48550/arxiv.2109.15055
openalex publication_date 2021/09/30 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
Background: We estimate the overall quality of response to the Covid-19\npandemic in the first 18 months, using a small number of known parameters and a\nproposed method that is reasonably robust to the uncertainties in the data.\n Methods: The population-normalized values of deaths, diagnostic tests,\nconfirmed cases, and doses of vaccines administered were considered. The\naverage infection-fatality-rate provides us a baseline on potential deaths, and\nalong with the test positivity rates in the formula, they add robustness to the\nestimates of the quality of response.\n Results: The scores are used to rank countries in two lists representing 84\nlarge countries with a population greater than 10 million, and 85 countries\nwith smaller populations. Additional possible corrections in the rankings of\ncountries to include the per capita purchasing power and the age distribution,\nare also shown. In a supplementary note, an analysis of the robustness of the\noverall ranking list to the expected uncertainties in the data, and the maximum\npossible changes in the ranking of any country are presented.\n Conclusion: In many countries, the outcomes are not significantly better than\nthe baseline. A few significant inferences are pondered that may help unravel\nthe causes of the poor outcomes.\n