Suppr超能文献

印度瓦拉纳西在新冠疫情大流行前和大流行期间基于尸检的全因非自然死亡率:一项回顾性分析。

Autopsy-based all-cause unnatural mortality during pre-pandemic and pandemic of COVID-19 in Varanasi, India: a retrospective analysis.

作者信息

Singh Jyotsana, Kumar Ambrish, Pandey Surendra Kumar

机构信息

Department of Forensic Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, U.P., 221005, India.

Department of Chemistry, Institute of Science, Banaras Hindu University, Varanasi, U.P., 221005, India.

出版信息

Forensic Sci Med Pathol. 2024 Dec;20(4):1360-1370. doi: 10.1007/s12024-024-00825-4. Epub 2024 May 11.

Abstract

The COVID-19 pandemic has led to significant disruptions in healthcare systems worldwide, with Varanasi, India, experiencing profound challenges in managing mortality rates. In order to inform public health initiatives, it is important to comprehend how the pandemic has affected all-cause unnatural death in comparison to pre-pandemic patterns. This retrospective study intended to investigate patterns of all-cause unnatural mortality employing autopsy records of cases from Varanasi's Institute of Medical Sciences, Banaras Hindu University during the pre-pandemic and pandemic period (First and Second wave) of COVID-19. The analysis included 2694 cases of unnatural mortality, such as road traffic accident (RTA), poisoning, hanging and other causes. Demographic, clinical, and circumstantial data were collected and compared between the two time periods, that revealed significant as well as non-significant shifts in all-cause unnatural mortality rates. Whilst certain types of unnatural deaths, such as RTAs, witnessed a non-significant 2.03% (p = 0.34722) decrease, others like hanging exhibited an unexpected significant 3.17% (p = 0.01732) rise, burning and poisoning witnessed a significant 4.18% (p = 0.00026) and 2.37% (p = 0.0271) decline respectively. RTA was the leading cause of mortality both during and before pandemic. Male deaths (79.18%) outweighed female deaths (20.82%) by a more substantial amount throughout research periods. Additionally, variations in demographic characteristics, circumstances surrounding deaths, and healthcare utilization were observed during the pandemic period. The majority of unnatural fatalities occur in the age group of 21-30 years old in both pre-pandemic (22.62%) and pandemic conditions (26.65%). This study provides important insights into the secondary effects of the pandemic on unnatural mortality and emphasizes the need for individualized public health. Furthermore, research is warranted to explore the long-term implications and address the associated challenges for healthcare systems and public health initiatives.

摘要

新冠疫情已导致全球医疗系统严重混乱,印度瓦拉纳西在管理死亡率方面面临巨大挑战。为了为公共卫生举措提供信息,了解疫情与疫情前模式相比如何影响全因非自然死亡至关重要。这项回顾性研究旨在利用贝拿勒斯印度教大学瓦拉纳西医学科学研究所疫情前和疫情期间(第一波和第二波)新冠病例的尸检记录,调查全因非自然死亡率模式。分析包括2694例非自然死亡病例,如道路交通事故(RTA)、中毒、上吊及其他原因。收集了两个时间段的人口统计学、临床和情况数据并进行比较,结果显示全因非自然死亡率出现了显著和不显著的变化。虽然某些类型的非自然死亡,如道路交通事故,下降了2.03%(p = 0.34722),不显著,但其他类型,如上吊,意外显著上升了3.17%(p = 0.01732),烧伤和中毒分别显著下降了4.18%(p = 0.00026)和2.37%(p = 0.0271)。道路交通事故在疫情期间和疫情前都是主要死因。在整个研究期间,男性死亡(79.18%)比女性死亡(20.82%)多出很多。此外,在疫情期间观察到人口统计学特征、死亡情况和医疗保健利用方面的差异。在疫情前(22.62%)和疫情期间(26.65%),大多数非自然死亡发生在21至30岁年龄组。本研究为疫情对非自然死亡率的次生影响提供了重要见解,并强调了个性化公共卫生的必要性。此外,有必要进行研究以探索长期影响,并应对医疗系统和公共卫生举措面临的相关挑战。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验