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

S. K. Kaushal, Navin Kumar, A. K. Patel, M. Yadav
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Abstract

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.)
影响北方邦本德尔坎德地区第二波COVID-19大流行患者死亡的流行病学变量:一项横断面研究
导言:世卫组织于2020年3月11日宣布COVID-19为全球大流行。2019冠状病毒病(covid - 19)在全球迅速蔓延。印度喀拉拉邦于2020年1月30日报告了首例COVID-19病例。班达政府对抗疗法医学院于2020年4月1日报告了首例COVID-19病例,此后有多例COVID-19病例入院治疗。本研究旨在探讨影响COVID-19住院患者死亡率的流行病学变量。材料与方法:研究设计:本研究是一项以医院为基础的横断面研究。第二波疫情开始暴发,期间为2021年4月1日至2021年6月30日。入院时采集社会人口统计数据、目前的临床体征和症状、合并症史和疫苗接种史等。估计与死亡相关的所有潜在协变量的校正优势比为95%置信区间。p值小于0.05认为有统计学意义。结果:以41 ~ 60岁年龄组最多(463例),其次为21 ~ 40岁年龄组(379例)。1226例中,男性795例,占64.8%。发现协变量婚姻状况、喉咙痛、呼吸困难和接种疫苗状况与死亡率显著相关。结论:呼吸困难、咳嗽、咽痛、发热是本研究的重要临床表现。同时,合并症也是重要的危险因素之一。通过接种疫苗可以最大限度地减少COVID死亡,因此有必要在社区开展有关COVID疫苗的认识和健康教育。[摘要]《国际医学与公共卫生杂志》版权归SCIBIOLMED所有。未经版权所有人的明确书面许可,ORG及其内容不得复制或通过电子邮件发送给多个网站或发布到listserv。但是,用户可以打印、下载或通过电子邮件发送文章供个人使用。这篇摘要可以删节。对副本的准确性不作任何保证。用户应参考资料的原始出版版本以获取完整摘要。(版权适用于所有摘要。)
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