Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India

Autor: Edwin Sam Asirvatham, Charishma Jones Sarman, Sakthivel P. Saravanamurthy, Periasamy Mahalingam, Swarna Maduraipandian, Jeyaseelan Lakshmanan
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Clinical Epidemiology and Global Health, Vol 9, Iss , Pp 275-279 (2021)
Druh dokumentu: article
ISSN: 2213-3984
DOI: 10.1016/j.cegh.2020.09.010
Popis: 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.
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