2021
DOI: 10.1016/s2214-109x(20)30544-1
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SARS-CoV-2 antibody seroprevalence in India, August–September, 2020: findings from the second nationwide household serosurvey

Abstract: Background The first national severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serosurvey in India, done in May-June, 2020, among adults aged 18 years or older from 21 states, found a SARS-CoV-2 IgG antibody seroprevalence of 0•73% (95% CI 0•34-1•13). We aimed to assess the more recent nationwide seroprevalence in the general population in India. MethodsWe did a second household serosurvey among individuals aged 10 years or older in the same 700 villages or wards within 70 districts in India that w… Show more

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Cited by 178 publications
(125 citation statements)
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“…Seroprevalence was particularly found to vary geographically with higher rates of seropositivity in the denser urban areas compared to rural areas [ 6 ]. The epidemiological trend also implicates SARS-CoV-2 spread among rural communities only later in the epidemic [ 7 ] which would require sound anticipatory interventions.…”
Section: Introductionmentioning
confidence: 99%
“…Seroprevalence was particularly found to vary geographically with higher rates of seropositivity in the denser urban areas compared to rural areas [ 6 ]. The epidemiological trend also implicates SARS-CoV-2 spread among rural communities only later in the epidemic [ 7 ] which would require sound anticipatory interventions.…”
Section: Introductionmentioning
confidence: 99%
“…Prevalence reported in first survey was 0.70%, conducted in May-June2020, while that of second survey was 7% conducted in August 2020. 8 Serological testing may be helpful for the identification of asymptomatic infections. Finding of 30% seropositivity in asymptomatic individuals in our study re-emphasizes the need of frequent serosurveys.…”
Section: Discussionmentioning
confidence: 99%
“…We link our observed deaths mechanistically to transmission [ 7 ]. We use a previously estimated COVID-19 infection fatality ratio (IFR, probability of death given infection) of 0.1% [ 45 , 46 ] together with a distribution of times from infection to death π. To incorporate the uncertainty inherent in this estimate we modify the ifr for every state to have additional noise around the mean, denoted by .…”
Section: Methodsmentioning
confidence: 99%
“…The parameters critical to the estimation and projection methods include the infection-to-death distribution [ 32 ], infection fatality ratio [ 45 , 46 ], generation distribution [ 44 ], prior for R 0 [ 7 , 30 ] and seeding [ 7 ]. Researchers have performed sensitivity analysis for various choices of infection-to-death distribution and found the resultant projections to be robust under changes [ 7 ].…”
Section: Sensitivity Analyses and Performance In Other Countriesmentioning
confidence: 99%