Evidence map›Paper›PMID 38733467›Full record

ArticleForensic science, medicine, and pathology2024

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

Jyotsana Singh, Ambrish Kumar, Surendra Kumar Pandey

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Article in Forensic science, medicine, and pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jyotsana Singh *Department of Forensic Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, U.P., 221005, India.
Ambrish Kumar *Department of Chemistry, Institute of Science, Banaras Hindu University, Varanasi, U.P., 221005, India.
Surendra Kumar PandeyDepartment of Forensic Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, U.P., 221005, India. pandeyskforensic@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19Accidents, TrafficAdolescentAdultAgedAged, 80 and overAge DistributionAutopsyCause of DeathChildChild, PreschoolFemaleHumansIndiaInfantMaleAutopsyCause of deathCOVID-19PandemicUnnatural death

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.