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Background and Objectives: The enigma COVID-19 pandemic already involved major parts of the globe with a toll of 3,175,207 victims and 224,172 deaths from 215 countries/territories as on May 1, 2020. It cripples nations by the loss of human resources, economic decline, hunger, unemployment insecurities giving way to mental morbidities, and still many others to be discovered. A systematic search about correlates of its killing attribute is urgently warranted. Materials and Methods: A cross-sectional survey for 3 weeks (03/5/2020–23/5/2020) was conducted in a teaching institution at Kolkata aiming to describe the magnitude and correlates of COVID-19 mortality. Data pertaining to COVID-19 cases, deaths of affected countries, and their potential correlates were retrieved from various public domains, for example, https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports, worldpopulationreview.com, data.worldbank.org. Results: Multiple linear regressions analysis through forward method revealed a maximum R2 of 57.7% (P = 0.03) and a significant model fit (P = 0.000) for COVID-19 mortality rate per million which was revealed to have a positive association with median age of the population of the country (β = 0.073), proportion of population sustaining obesity (β = 0.051) and %of population consumed alcohol over the past 12 months (β = 0.018). It meant for 1 year increase in median age COVID-19 mortality would be increased by 8.0%. Similarly, COVID-19 mortality would be increased by 2.0% and 5.0% by inclusion in the model of 1% alcoholic, and 1% obese individual, respectively, Conclusion: Notwithstanding variations in testing, reporting, and patients' management strategy the findings of this research have some implications to the scientific fraternity and policymakers.

Background and Objectives: The enigma COVID-19 pandemic already involved major parts of globe with toll of 2,074,529 victims and 139,378 deaths from 213 countries/territories as on April 14, 2020. It cripples nations by the loss of human resources, economic decline, hunger, unemployment insecurities giving way to mental morbidities, and still many others to be discovered. Till it completes its trajectory, a systematic investigation, a prerequisite of any epidemic control, is warranted. Materials and Methods: A cross-sectional survey over 2 weeks (April 15, 2020–April 28, 2020) has been conducted at a teaching institution at Kolkata aiming to describe the magnitude, pattern, severity, and correlates of coronavirus pandemic 2020. Data pertaining to COVID-19 cases, deaths of affected countries, and their reported and or potential correlates were retrieved from various public domains, for example, https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports, worldpopulationreview.com, data.worldbank.org. Results: Multiple linear regression analysis revealed a maximum R2 of 32.3% (P = 0.013) with a significant model fit (P = 0.000) for COVID-19 incidence rate per million which is associated positively with the proportion of the urban population (b = 0.024) and the percentage of the population aged 65 years or higher (b = 0.112) and negatively with current universal Bacille Calmette-Guérin vaccination (b = −1.021) policy of countries. Conclusion: Against this viral catastrophe evidence-based classical public health measures are underway. Notwithstanding variations in testing and reporting policy, the findings of this research ignite further study.