Differences in age distribution in first and second waves of COVID-19 in eastern Uttar Pradesh, India
Mahendra M Reddy1, Kamran Zaman1, Shailendra Kumar Mishra1
1Indian Council of Medical Research-Regional Medical Research Centre (ICMR-RMRC), Gorakhpur, Uttar Pradesh, India.
Abstract:
Comparison of first and second waves of Coronavirus disease (COVID-19) showed varied differences including the peak and time distribution. Contrary to published reports of comparing two waves in India wherein the younger age group was affected more in the second wave in India; a secondary data analysis of around 0.5 million real-time reverse transcription-polymerase chain reaction tests conducted in COVID-19 diagnostic laboratory in eastern Uttar Pradesh, India showed an increase in positivity rate in older age groups in the second wave. The positivity rate among symptomatic cases was found to be three times higher in second wave compare to the first wave. Higher positivity rates were seen across older age groups, with a shift of 11 years in the mean age of positivity in the second wave compared to the first.
Related Concept Videos
Types of Skewness
For instance, in the middle of a pandemic, the geographical distribution of vaccine coverage may be positively skewed towards populations in the global north countries. However,...
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Pareto Chart
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Distribution
Bias in Epidemiological Studies
Population Growth


