Epidemiologic Variables Affecting Deaths among COVID-19 Patients in Second Wave of Pandemic in Bundelkhand Region of Uttar Pradesh: A Cross-sectional Study

Introduction: WHO has declared COVID-19 as a global pandemic on 11th March 2020. The Corona Virus Disease 2019 (COVID19) has rapidly spread worldwide. First case of COVID-19 was reported on 30th January 2020 in Kerala state, India. The first COVID-19 case was reported to Government Allopathic medical College Banda on 1st April 2020, and thereafter many COVID-19 cases were admitted and treated. This study was conducted to find the epidemiological variables affection mortality among hospitalised COVID-19 patients. Materials and Methods: Study design: This study was a hospital based cross-sectional study. The outbreak of second wave started and the period was 1st April 2021 to 30th June 2021. Socio-demographic data, clinical signs and symptoms present, history of co-morbidities and vaccination history etc. were taken at the time of admission. Adjusted odds ratio with a 95% confidence interval was estimated for all the potential covariates associated with death. The p-value less than 0.05 considered statistically significant. Results: Maximum number of cases was found in the age group of 41-60 years (463) followed by 21-40 year age group (379). Out of 1226 cases, 795 (64.8%) cases were males respectively. The covariates marital status, sore throat, breathlessness and vaccination status were found to be significantly associated with mortality. Conclusion: Breathlessness, cough, sore throat and fever were the important clinical findings of this study. Also comorbidity was one of the significant risk factors. The COVID death can be minimized by vaccination;therefore there is a need of awareness and health education about COVID vaccine in community. [ABSTRACT FROM AUTHOR] Copyright of International Journal of Medicine & Public Health is the property of SCIBIOLMED.ORG and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)