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VOLUME 10 , ISSUE 1--4 ( January-December, 2024 ) > List of Articles

RESEARCH ARTICLE

Evaluation of Demographic and Clinical Characteristics of First, Second, and Third Coronavirus Disease 2019 Pandemic Waves in India

Jaya Garg, Jyotsna Agarwal, Vikramjeet Singh, Apurva Rautela, Nikhil Raj, Avneesh Shrivastava, Avneesh Sharma, Anupam Das, Manodeep Sen

Keywords : Coronavirus disease diagnostics, Coronavirus disease variants, Coronavirus disease, Reverse transcription polymerase chain reaction, Severe acute respiratory syndrome coronavirus 2, Sublineages, Waves

DOI: 10.5005/jp-journals-10045-00280

License: CC BY-NC 4.0

Published Online: 30-07-2024

Copyright Statement:  Copyright © 2024; The Author(s).


Abstract

Introduction: The coronavirus disease (COVID) pandemic has presented worldwide as multiple waves of infection. India has witnessed three waves of coronavirus disease 2019 (COVID-19). In this study, we have evaluated and compared the waves of the COVID-19 pandemic presented in North India. Objective: To compare the demography, clinical profile, and outcomes of COVID-infected patients during the first, second, and third waves of the COVID-19 pandemic. Materials and methods: Retrospective collection of demographic details, epidemiology, clinical presentations, outcomes, and follow-up reverse transcription polymerase chain reaction (RT-PCR) results of COVID-19-positive patients were correlated. Results: Retrospective analysis of data showed that positivity in COVID waves was higher during the second wave (10%), followed by the third wave (4.66%), and the first wave (2.95%). The history of the number of household contacts was comparatively higher during the second wave. Atypical presentations and mortality were also notably higher during the second wave (24.69%) than the first wave (14.7%) and third wave (8.6%). Conclusion: Emerging COVID variants due to mutation will lead to multiple waves until it becomes endemic.


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