Differences in age distribution in first and second waves of COVID-19 in eastern Uttar Pradesh, India

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 analy...

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Detalles Bibliográficos
Autores principales: Reddy, Mahendra M., Zaman, Kamran, Mishra, Shailendra Kumar, Yadav, Priyanka, Kant, Rajni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Diabetes India. Published by Elsevier Ltd. 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556065/
https://www.ncbi.nlm.nih.gov/pubmed/34731821
http://dx.doi.org/10.1016/j.dsx.2021.102327
Descripción
Sumario: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.

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