TY - JOUR AU - Gupta, Manoj Kumar AU - Bhardwaj, Pankaj AU - Goel, Akhil Dhanesh AU - Saurabh, Suman AU - Misra, Sanjeev PY - 2021/05/31 Y2 - 2024/03/28 TI - Trends of Epidemiological and Demographic Indicators of COVID-19 in India JF - The Journal of Infection in Developing Countries JA - J Infect Dev Ctries VL - 15 IS - 05 SE - Coronavirus Pandemic DO - 10.3855/jidc.13243 UR - https://jidc.org/index.php/journal/article/view/34106883 SP - 618-624 AB - <p>Introduction: This study was planned to assess the trends of epidemiological indicators and demographic determinants related to the COVID-19 in India.</p><p>Methodology: This was a descriptive analysis of the COVID-19 cases and their outcomes between 1<sup>st</sup> March to 31<sup>st</sup> May 2020 in India. Unpaired t-test and ANOVA were used to determine the statistical differences. Linear regression models were prepared to estimate the effect of testing on the fatalities. The Infection Fatality Rate (IFR)/Case Fatality Rate (CFR), doubling time, and Basic Reproduction Number (R<sub>0</sub>) per week were calculated.</p><p>Results: Two-thirds of the cases were between 21-50 years of age, while three-fourth of deaths were among people above 50-years of age. The mean age of people infected with COVID-19 was declining throughout the study period. The mean age of infected males and females was significantly different. The male-female ratio of both infection and deaths due to COVID-19 was near about 2:1. IFR/CFR was 3.31 (95% CI = 3.13-3.50) in April, which reduced to 2.84 (95% CI = 2.77-2.92) in May. An incremental trend was observed in the recovery rates (9.42% to 48.18%), tests conducted / million population (12 / million to 2708 / million) and doubling time (3.59 to 17.71 days). The number of tests was significantly influencing the fatalities (β = 0.016, 95% CI = 0.012-0.020). The overall R<sub>0</sub> was found to be 1.72.</p><p>Conclusions: Public health interventions were likely effective in containing the spread of COVID-19. There is a need to further improve the testing capacity. The high-risk category of individuals being prioritized for hospital admission should be redefined to include individuals older than 50 years.</p> ER -