Mortality Rates of Coronavirus Disease 2019 (COVID-19) Caused by the Novel Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2)

Abstract

Background The significance of the global prevalence and incidence of coronavirusdisease 2019 (COVID-19) is a measure of its severity. However, without statistical data, one cannot understand the novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic. This study, based on good data, enables us to know how the disease is spreading, what impact the pandemic has on the lives of people around the world, and whether the countermeasures that countries have been taking are successful for controlling and preventing the disease. Therefore, this study is undertaken to estimate the infection fatality rates (IFRs) and case-fatality rates (CFRs) in various countries and regions of the world. Methods COVID-19-related data were collected from various countries belonging to different World Bank categories based on economies (low-income, low-middle income, upper-middle income, and high-income countries) and the World Health Organization's (WHO's) regional classification of countries (the Americas, European, African, South-East Asia, Eastern Mediterranean, and Western Pacific regions). The data were collected from the WHO’s dedicated website on COVID-19, and statistical methods like mean, standard deviation, p-value, and percentages were used to calculate the IFR and CFR. Results Mexico (8.94%) reported the highest IFR among all the countries. The low-income countries reported increased IFR (2.46±1.91) as compared to the other groups. The European region (7.3%) and the American region (5.3%) recorded the highest CFRs. The South-East Asian region reported the lowest CFR (1.1%). Conclusions The low-income group countries showed higher rates of IFR and lower CFRs. Lower IFRs and increased CFRs were noted among the high-income group countries and the American and European regions respectively. The varied IFRs and CFRs could be attributed to multiple factors that include climatic conditions, living environments, age, sex, comorbidities, among others.

What does COVID‐19 testing results really say? The real statistics concealed behind the accessible data

“…Many studies highlight the importance of statistical inferences to assess the percentage of people who become infected and the mortality rates. 5 The accuracy of this data depends on how much a country actually tests. The positive‐rate results ( seropositive for SARS‐CoV‐2 infection cases / total cases ) in some countries even reach 35% (i.e., Ecuador), and in some other countries, it is almost near 0% (i.e., Australia).…”

Statistical Inferences and Analysis based on the COVID-19 Data from the United States

“…There is a huge body work in the literature focusing on many important aspects of the pandemic. The economic impact is studied in several recent works including [79], [78], [77], [81]. An up to date global database of research work done on the pandemic is maintained in by the World Health Organization [83].…”

COVID-19 In United States: Statistical Analysis and Inferences From the Empirical Data

“…There is a huge body work in the literature focusing on many important aspects of the pandemic. The economic impact is studied in several recent works including [53], [52], [51], [55]. An up to date global database of research work done on the pandemic is maintained in by the World Health Organization [57].…”