2021
DOI: 10.1101/2021.01.05.21249264
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Representative Estimates of COVID-19 Infection Fatality Rates from Three Locations in India

Abstract: There are very few estimates of the age-specific infection fatality rate (IFR) of SARS-CoV-2 in low- and middle-income countries. India reports the second highest number of SARS-CoV-2 infections in the world. We estimate age-specific IFR using data from seroprevalence surveys in Mumbai (population 12 million) and Karnataka (population 61 million), and a random sample of economically distressed migrants in Bihar with mortality followup. Among men aged 50–89, IFR is 0.12% in Karnataka (95% C.I. 0.09%–0.15%), 0.5… Show more

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Cited by 13 publications
(10 citation statements)
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“…While there have been more cases and deaths in Wave 2, there is a lower reported case-fatality rate compared to Wave 1 (1.0% vs 1.4%). This could partly be explained by reports that younger age groups were infected more in Wave 2 where the clinical infection fatality rate is lower, but this assertion is yet to be verified (46). It is important to note that we do not have full follow-up data on Wave 2 and more deaths continue to be reported in June including some states like Bihar revising previously reported death numbers (47).…”
Section: The Second Wave Dwarfs the First Wave In Indiamentioning
confidence: 80%
“…While there have been more cases and deaths in Wave 2, there is a lower reported case-fatality rate compared to Wave 1 (1.0% vs 1.4%). This could partly be explained by reports that younger age groups were infected more in Wave 2 where the clinical infection fatality rate is lower, but this assertion is yet to be verified (46). It is important to note that we do not have full follow-up data on Wave 2 and more deaths continue to be reported in June including some states like Bihar revising previously reported death numbers (47).…”
Section: The Second Wave Dwarfs the First Wave In Indiamentioning
confidence: 80%
“…Across the world, multiple cohort studies have described the clinical impact of the COVID-19 pandemic. However, there are difficulties with comparing diverse, fragmented datasets, which often differ in their inclusion criteria, case definitions, and outcome measures (3)(4)(5)(6)(7)(8)(9). Such heterogeneity in study design makes international comparisons challenging.…”
Section: Introductionmentioning
confidence: 99%
“…Fourth, these estimates are for a limited period in the second wave of the pandemic. Cai et al 2021 present some survey evidence that the first wave of the pandemic had a large mortality impact in Bihar, and data from the civil registration system appears to confirm this picture (Banaji 2021).…”
Section: Discussionmentioning
confidence: 86%