Kinetics and seroprevalence of SARS-CoV-2 antibodies – a comparison of 3 different assays

Kahre, Elisabeth; Galow, Lukas; Unrath, Manja; Haag, Luise; Blankenburg, Judith; Dalpke, Alexander H.; Lueck, Christian J.; Berner, Reinhard; Armann, Jakob

doi:10.1101/2021.03.10.21253273

Cited by 3 publications

(3 citation statements)

References 8 publications

(4 reference statements)

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“…As in Shioda et al, time from illness onset to seroconversion was assumed to follow a Weibull distribution with a mean of 11.5 days and SD of 5.7 days 9 . We estimated the average time from seroconversion to seroreversion to have a mean of 229.7 days (7.6 months) and SD 105.3 days by fitting a Weibull distribution, using a weighted least squares method, to published data on the duration of seropositivity measured by the Abbott ARCHITECT SARS‐CoV‐2 anti‐nucleocapsid immunoglobulin G immunoassay (Supporting Information: Figure ) 10,11 . This assay was used in the Nationwide Commercial Lab Seroprevalence study in Michigan 4 …”

Section: Methodsmentioning

confidence: 99%

The variant‐specific burden of SARS‐CoV‐2 in Michigan: March 2020 through November 2021

Petrie

Eisenberg

Lauring

et al. 2022

Journal of Medical Virology

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Accurate estimates of the total burden of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) are needed to inform policy, planning, and response. We sought to quantify SARS‐CoV‐2 cases, hospitalizations, and deaths by age in Michigan. Coronavirus disease 2019 cases reported to the Michigan Disease Surveillance System were multiplied by age and time‐specific adjustment factors to correct for under‐detection. Adjustment factors were estimated in a model fit to incidence data and seroprevalence estimates. Age‐specific incidence of SARS‐CoV‐2 hospitalization, death, vaccination, and variant proportions were estimated from publicly available data. We estimated substantial under‐detection of infection that varied by age and time. Accounting for under‐detection, we estimate the cumulative incidence of infection in Michigan reached 75% by mid‐November 2021, and over 87% of Michigan residents were estimated to have had ≥1 vaccination dose and/or previous infection. Comparing pandemic waves, the relative burden among children increased over time. In general, the proportion of cases who were hospitalized or who died decreased over time. Our results highlight the ongoing risk of periods of high SARS‐CoV‐2 incidence despite widespread prior infection and vaccination. This underscores the need for long‐term planning for surveillance, vaccination, and other mitigation measures amidst continued response to the acute pandemic.

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Section: Methodsmentioning

confidence: 99%

The variant‐specific burden of SARS‐CoV‐2 in Michigan: March 2020 through November 2021

Petrie

Eisenberg

Lauring

et al. 2022

Journal of Medical Virology

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“…However, it is important to mention, that 20.8% of the seronegative participants also reported symptoms ≥ 12 weeks after COVID-19 within their household. Even though there is no seroconversion in about 10% of people after a SARS-CoV-2 infection 26,27 , these results show that there is a certain background incidence of medical conditions that is not related to the virus infection. Part of it most likely represents a baseline level of non-specific symptoms within our population which might be elevated due to the restrictions during the pandemic.…”

Section: Discussionmentioning

confidence: 77%

Lower SARS-CoV-2 household transmission in children and adolescents compared to adults

Schumm

Blankenburg

Kahre

et al. 2022

Sci Rep

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In the COVID-19 pandemic, children were considered to play a major role in SARS-CoV-2 transmission similar to influenza. Thus, mitigation measures have been focused on children, impacting their everyday life severely. Despite this, infectivity in this age group regarding SARS-CoV-2 is not yet clarified. We performed a serology study in households with confirmed SARS-CoV-2 infection to evaluate virus transmission with focus on children and adolescents. Between January and July 2021, 341 minors and 650 adults from 300 households with a confirmed index case participated in the FamilyCoviDD19-study including serological assessment for SARS-CoV-2 antibodies and a questionnaire on demographics, recent and ongoing symptoms, hygiene measures and comorbidities. 45 (16.3%) of all index cases were < 18 years old. Thereof, 55.6% reported COVID-19 associated symptoms, while nearly all adult index cases were symptomatic (94.8%). There was significantly less virus transmission by children and adolescents compared to adult index cases with a secondary attack rate of 0.29 vs. 0.54. With the caveat that the results do not necessarily apply to the Delta and Omicron variants, we conclude that children and adolescents are less susceptible for SARS-CoV-2 infection, more frequently show an asymptomatic course of disease and are less infective than adults.

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“…To quantify the drop in Abbott, we collected data from several independent studies (Maine et al 2020;Muecksch et al 2021;Eberhardt et al 2021;Kahre et al 2021;Harris et al 2021), pooled data together (see Figure 2a), and fitted a modified Gamma distribution function (which has a max value of 1, thus not a distribution function anymore) to the data to quantify the drop rate (see Figure 2b). Thus, 𝑓𝑓(𝑡𝑡) = 𝐺𝐺𝐺𝐺𝐺𝐺𝐺𝐺𝐺𝐺(𝑡𝑡, 𝛼𝛼, 𝛽𝛽).…”

Section: Sensitivity Decay Of Abbottmentioning

confidence: 99%

Seroprevalence and Infection Attack Rate of COVID-19 in Indian Cities

Fei

Zhao

et al. 2021

Preprint

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Objectives. Serological surveys were used to infer the infection attack rate in different populations. The sensitivity of the testing assay, Abbott, drops fast over time since infection which make the serological data difficult to interpret. In this work, we aim to solve this issue. Methods. We collect longitudinal serological data of Abbott to construct a sensitive decay function. We use the reported COVID-10 deaths to infer the infections, and use the decay function to simulate the seroprevalence and match to the reported seroprevalence in 12 Indian cities. Results. Our model simulated seroprevalence match the reported seroprevalence in most (but not all) of the 12 Indian cities we considered. We obtain reasonable infection attack rate and infection fatality rate for most of the 12 Indian cities. Conclusions. Using both reported COVID-19 deaths data and serological survey data, we infer the infection attack rate and infection fatality rate with increased confidence.

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Kinetics and seroprevalence of SARS-CoV-2 antibodies – a comparison of 3 different assays

Cited by 3 publications

References 8 publications

The variant‐specific burden of SARS‐CoV‐2 in Michigan: March 2020 through November 2021

The variant‐specific burden of SARS‐CoV‐2 in Michigan: March 2020 through November 2021

Lower SARS-CoV-2 household transmission in children and adolescents compared to adults

Seroprevalence and Infection Attack Rate of COVID-19 in Indian Cities

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