Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India
- PMID: 33043168
- PMCID: PMC7532809
- DOI: 10.1016/j.cegh.2020.09.010
Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India
Abstract
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.
Keywords: Age and sex-specific death rate; COVID-19 in India; Comorbidities of COVID-19; Time interval between infection and death.
© 2020 INDIACLEN. Published by Elsevier, a division of RELX India, Pvt. Ltd.
Conflict of interest statement
The authors declare that they have no conflict of interest.
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References
-
- GOI . Government of India; 2020. COVID-19 Statewise Status as on 13th July 2020 New Delhi: Ministry of Health and Family Welfare, (MoHFW)https://www.mohfw.gov.in/ Available from.
-
- CENSUS. Population . 2011. Enumeration Data (Final Population) New Delhi: Office of the Registrar General & Census Commissioner.https://censusindia.gov.in/2011census/population_enumeration.html India. Available from:
-
- GoT. COVID-19 Active Cases in Tamil Nadu Chennai. Health & Family Welfare Department, Government of Tamil Nadu; 2020. https://nhmtn.maps.arcgis.com/apps/opsdashboard/index.html#/095ad0a1c025... Available from:
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