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Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India
BACKGROUND: As the number of COVID-19 cases continues to rise, public health efforts must focus on preventing avoidable fatalities. Understanding the demographic and clinical characteristics of deceased COVID-19 patients; and estimation of time-interval between symptom onset, hospital admission and...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier, a division of RELX India, Pvt. Ltd on behalf of INDIACLEN.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532809/ https://www.ncbi.nlm.nih.gov/pubmed/33043168 http://dx.doi.org/10.1016/j.cegh.2020.09.010 |
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author | Asirvatham, Edwin Sam Sarman, Charishma Jones Saravanamurthy, Sakthivel P. Mahalingam, Periasamy Maduraipandian, Swarna Lakshmanan, Jeyaseelan |
author_facet | Asirvatham, Edwin Sam Sarman, Charishma Jones Saravanamurthy, Sakthivel P. Mahalingam, Periasamy Maduraipandian, Swarna Lakshmanan, Jeyaseelan |
author_sort | Asirvatham, Edwin Sam |
collection | PubMed |
description | BACKGROUND: As the number of COVID-19 cases continues to rise, public health efforts must focus on preventing avoidable fatalities. Understanding the demographic and clinical characteristics of deceased COVID-19 patients; and estimation of time-interval between symptom onset, hospital admission and death could inform public health interventions focusing on preventing mortality due to COVID-19. METHODS: We obtained COVID-19 death summaries from the official dashboard of the Government of Tamil Nadu, between 10th May and July 10, 2020. Of the 1783 deaths, we included 1761 cases for analysis. RESULTS: The mean age of the deceased was 62.5 years (SD: 13.7). The crude death rate was 2.44 per 100,000 population; the age-specific death rate was 22.72 among above 75 years and 0.02 among less than 14 years, and it was higher among men (3.5 vs 1.4 per 100,000 population). Around 85% reported having any one or more comorbidities; Diabetes (62%), hypertension (49.2%) and CAD (17.5%) were the commonly reported comorbidities. The median time interval between symptom onset and hospital admission was 4 days (IQR: 2, 7); admission and death was 4 days (IQR: 2, 7) with a significant difference between the type of admitting hospital. One-fourth of (24.2%) deaths occurred within a day of hospital admission. CONCLUSION: Elderly, male, people living in densely populated areas and people with underlying comorbidities die disproportionately due to COVID-19. While shorter time-interval between symptom onset and admission is essential, the relatively short time interval between admission and death is a concern and the possible reasons must be evaluated and addressed to reduce avoidable mortality. |
format | Online Article Text |
id | pubmed-7532809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier, a division of RELX India, Pvt. Ltd on behalf of INDIACLEN. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75328092020-10-05 Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India Asirvatham, Edwin Sam Sarman, Charishma Jones Saravanamurthy, Sakthivel P. Mahalingam, Periasamy Maduraipandian, Swarna Lakshmanan, Jeyaseelan Clin Epidemiol Glob Health Original Article BACKGROUND: As the number of COVID-19 cases continues to rise, public health efforts must focus on preventing avoidable fatalities. Understanding the demographic and clinical characteristics of deceased COVID-19 patients; and estimation of time-interval between symptom onset, hospital admission and death could inform public health interventions focusing on preventing mortality due to COVID-19. METHODS: We obtained COVID-19 death summaries from the official dashboard of the Government of Tamil Nadu, between 10th May and July 10, 2020. Of the 1783 deaths, we included 1761 cases for analysis. RESULTS: The mean age of the deceased was 62.5 years (SD: 13.7). The crude death rate was 2.44 per 100,000 population; the age-specific death rate was 22.72 among above 75 years and 0.02 among less than 14 years, and it was higher among men (3.5 vs 1.4 per 100,000 population). Around 85% reported having any one or more comorbidities; Diabetes (62%), hypertension (49.2%) and CAD (17.5%) were the commonly reported comorbidities. The median time interval between symptom onset and hospital admission was 4 days (IQR: 2, 7); admission and death was 4 days (IQR: 2, 7) with a significant difference between the type of admitting hospital. One-fourth of (24.2%) deaths occurred within a day of hospital admission. CONCLUSION: Elderly, male, people living in densely populated areas and people with underlying comorbidities die disproportionately due to COVID-19. While shorter time-interval between symptom onset and admission is essential, the relatively short time interval between admission and death is a concern and the possible reasons must be evaluated and addressed to reduce avoidable mortality. The Authors. Published by Elsevier, a division of RELX India, Pvt. Ltd on behalf of INDIACLEN. 2021 2020-10-03 /pmc/articles/PMC7532809/ /pubmed/33043168 http://dx.doi.org/10.1016/j.cegh.2020.09.010 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Original Article Asirvatham, Edwin Sam Sarman, Charishma Jones Saravanamurthy, Sakthivel P. Mahalingam, Periasamy Maduraipandian, Swarna Lakshmanan, Jeyaseelan Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India |
title | Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India |
title_full | Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India |
title_fullStr | Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India |
title_full_unstemmed | Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India |
title_short | Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India |
title_sort | who is dying from covid-19 and when? an analysis of fatalities in tamil nadu, india |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532809/ https://www.ncbi.nlm.nih.gov/pubmed/33043168 http://dx.doi.org/10.1016/j.cegh.2020.09.010 |
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