This article explores the impact of variables influencing the COVID-19 fatality rate in Asian countries, notably those related to inclusive human development. The case fatality rate of COVID-19 is the dependent variable in the study, and the independent variables include the percentage of health expenditure from the gross domestic product (GDP), health expenditure per capita in United States dollars, human development index, sustainable development goal (SDG) index, GDP per capita at constant prices, hospital bed per 1,000 people, population ages 15–64 (percent of the total population), population ages 65 and above (percent of the total population), literacy rate adult total (% of people 15 and above ages), physicians per 1,000 people, positive case rate per 1,000 people, and diabetes prevalence (% of population ages 20 – 79). In this article, we have used regression analysis to investigate their impact on the dependent variable. The percentage of health expenditure from the GDP positively impacts the case fatality rate, but it is insignificant. Hospital bed per 1,000 population is negatively associated with fatality rate, yet with insignificant effects Most unexpectedly, the total number of positive cases negatively correlates with the fatality rate with an insignificant impact. On the contrary, diabetes prevalence (% of population ages 20–79) is positively associated with fatality rate but is insignificantly impacted. It is found that the SDG index, GDP per capita (constant), and population ages 65 and above (% of the total population) are significant independent variables. Of the 17 goals in the SDGs, 12 goals, 33 targets, and 57 indicators designated as health-related SDGs will require serious government commitments. Such commitments may be through the fiscal framework as the SDGs’ attainments are dependent on financial commitment. The countries’ governments can give much consideration to these variables to mitigate the vulnerability of the pandemic in the coming future by adopting proper policies.
