Demystifying the varying case fatality rates (CFR) of COVID-19 in India: Lessons learned and future directions
In: The Journal of Infection in Developing Countries, Jg. 14 (2020-10-31), S. 1128-1135
Online
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Introduction: At the end of the second week of June 2020, the SARS-CoV-2 responsible for COVID-19 infected above 7.5 million people and killed over 400,000 worldwide. Estimation of case fatality rate (CFR) and determining the associated factors are critical for developing targeted interventions. Methodology: The state-level adjusted case fatality rate (aCFR) was estimated by dividing the cumulative number of deaths on a given day by the cumulative number confirmed cases 8 days before, which is the average time-lag between diagnosis and death. We conducted fractional regression analysis to determine the predictors of aCFR. Results: As of 13 June 2020, India reported 225 COVID-19 cases per million population (95% CI:224-226); 6.48 deaths per million population (95% CI:6.34-6.61) and an aCFR of 3.88% (95% CI:3.81-3.97) with wide variation between states. High proportion of urban population and population above 60 years were significantly associated with increased aCFR (p=0.08, p=0.05), whereas, high literacy rate and high proportion of women were associated with reduced aCFR (p
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Demystifying the varying case fatality rates (CFR) of COVID-19 in India: Lessons learned and future directions
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Autor/in / Beteiligte Person: | Joy, Melvin ; Lakshmanan, Jeyaseelan ; Charishma Jones Sarman ; Edwin Sam Asirvatham |
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Zeitschrift: | The Journal of Infection in Developing Countries, Jg. 14 (2020-10-31), S. 1128-1135 |
Veröffentlichung: | Journal of Infection in Developing Countries, 2020 |
Medientyp: | unknown |
ISSN: | 1972-2680 (print) |
DOI: | 10.3855/jidc.13340 |
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