scholarly journals Spectrum Bias and Individual Strengths of SARS-CoV-2 Serological Tests—A Population-Based Evaluation

Diagnostics ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1843
Author(s):  
Sebastian Einhauser ◽  
David Peterhoff ◽  
Hans Helmut Niller ◽  
Stephanie Beileke ◽  
Felix Günther ◽  
...  
Keyword(s):  
Latent Class ◽  
Initial Period ◽  
Population Based ◽  
Antibody Testing ◽  
Serological Tests ◽  
Immunosorbant Assay ◽  
Neutralization Capacity ◽  
Quantitative Correlation ◽  
Development And Validation ◽  
Representative Samples

Antibody testing for determining the SARS-CoV-2 serostatus was rapidly introduced in early 2020 and since then has been gaining special emphasis regarding correlates of protection. With limited access to representative samples with known SARS-CoV-2 infection status during the initial period of test development and validation, spectrum bias has to be considered when moving from a “test establishment setting” to population-based settings, in which antibody testing is currently implemented. To provide insights into the presence and magnitude of spectrum bias and to estimate performance measures of antibody testing in a population-based environment, we compared SARS-CoV-2 neutralization to a battery of serological tests and latent class analyses (LCA) in a subgroup (n = 856) of the larger population based TiKoCo-19 cohort (n = 4185). Regarding spectrum bias, we could proof notable differences in test sensitivities and specificities when moving to a population-based setting, with larger effects visible in earlier registered tests. While in the population-based setting the two Roche ELECSYS anti-SARS-CoV-2 tests outperformed every other test and even LCA regarding sensitivity and specificity in dichotomous testing, they didn’t provide satisfying quantitative correlation with neutralization capacity. In contrast, our in-house anti SARS-CoV-2-Spike receptor binding domain (RBD) IgG-ELISA (enzyme-linked-immunosorbant assay) though inferior in dichotomous testing, provided satisfactory quantitative correlation and may thus represent a better correlate of protection. In summary, all tests, led by the two Roche tests, provided sufficient accuracy for dichotomous identification of neutralizing sera, with increasing spectrum bias visible in earlier registered tests, while the majority of tests, except the RBD-ELISA, didn’t provide satisfactory quantitative correlations.

scholarly journals Population (Antibody) Testing for COVID-19—Technical Challenges, Application and Relevance, an English Perspective

Vaccines ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 550
Author(s):  
Peter A. C. Maple
Keyword(s):  
National Level ◽  
Herd Immunity ◽  
Population Based ◽  
Biological Properties ◽  
Limited Extent ◽  
Antibody Testing ◽  
Serum Samples ◽  
Oral Fluids ◽  
Antibody Assays ◽  
The Uk

In the UK, population virus or antibody testing using virus swabs, serum samples, blood spots or oral fluids has been performed to a limited extent for several diseases including measles, mumps, rubella and hepatitis and HIV. The collection of population-based infection and immunity data is key to the monitoring of disease prevalence and assessing the effectiveness of interventions such as behavioural modifications and vaccination. In particular, the biological properties of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its interaction with the human host have presented several challenges towards the development of population-based immunity testing. Measuring SARS-CoV-2 immunity requires the development of antibody assays of acceptable sensitivity and specificity which are capable of accurately detecting seroprevalence and differentiating protection from non-protective responses. Now that anti-COVID-19 vaccines are becoming available there is a pressing need to measure vaccine efficacy and the development of herd immunity. The unprecedented impact of the SARS-CoV-2 pandemic in the UK in terms of morbidity, mortality, and economic and social disruption has mobilized a national scientific effort to learn more about this virus. In this article, the challenges of testing for SARS-CoV-2 infection, particularly in relation to population-based immunity testing, will be considered and examples given of relevant national level studies.

scholarly journals Estimates and Determinants of SARS-Cov-2 Seroprevalence and Infection Fatality Ratio Using Latent Class Analysis: The Population-Based Tirschenreuth Study in the Hardest-Hit German County in Spring 2020

Viruses ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1118
Author(s):  
Ralf Wagner ◽  
David Peterhoff ◽  
Stephanie Beileke ◽  
Felix Günther ◽  
Melanie Berr ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Care Home ◽  
Case Fatality ◽  
The Elderly ◽  
Population Based ◽  
Class Analysis ◽  
Population Based Study ◽  
Targeted Testing ◽  
June July

SARS-CoV-2 infection fatality ratios (IFR) remain controversially discussed with implications for political measures. The German county of Tirschenreuth suffered a severe SARS-CoV-2 outbreak in spring 2020, with particularly high case fatality ratio (CFR). To estimate seroprevalence, underreported infections, and IFR for the Tirschenreuth population aged ≥14 years in June/July 2020, we conducted a population-based study including home visits for the elderly, and analyzed 4203 participants for SARS-CoV-2 antibodies via three antibody tests. Latent class analysis yielded 8.6% standardized county-wide seroprevalence, a factor of underreported infections of 5.0, and 2.5% overall IFR. Seroprevalence was two-fold higher among medical workers and one third among current smokers with similar proportions of registered infections. While seroprevalence did not show an age-trend, the factor of underreported infections was 12.2 in the young versus 1.7 for ≥85-year-old. Age-specific IFRs were <0.5% below 60 years of age, 1.0% for age 60–69, and 13.2% for age 70+. Senior care homes accounted for 45% of COVID-19-related deaths, reflected by an IFR of 7.5% among individuals aged 70+ and an overall IFR of 1.4% when excluding senior care home residents from our computation. Our data underscore senior care home infections as key determinant of IFR additionally to age, insufficient targeted testing in the young, and the need for further investigations on behavioral or molecular causes of the fewer infections among current smokers.

Multiple developmental pathways underlying conduct problems: A multitrajectory framework

2020 ◽  
pp. 1-10
Author(s):  
Jules R. Dugré ◽  
Stéphane Potvin
Keyword(s):  
Conduct Disorder ◽  
Conduct Problems ◽  
Latent Class ◽  
Population Based ◽  
Anxiety Symptoms ◽  
Behavioral Approach ◽  
Parameter Estimates ◽  
Childhood And Adolescence ◽  
Increased Risk ◽  
Psychological Features

Abstract In the past decades, there has been an overemphasis of a descriptive/behavioral approach to study conduct disorder. In an equifinal perspective, we aimed to examine the developmental multitrajectory groups of psychological features (irritability, interpersonal callousness, hyperactivity/impulsivity, and depressive–anxiety symptoms) and their associations with conduct problems. In a population-based cohort (n = 1,309 participants followed from 5 months to 17 years old), latent-class growth analysis was performed for each psychological feature to identify a two-trajectory model (from ages 6 to 12 years). Based on parameter estimates of the two-trajectory models for each of the four psychological features, a parallel process growth mixture model identified eight significant developmental patterns that were subsequently compared with typically developing children. Furthermore, we observed that while interpersonal callousness conferred an increased risk for childhood and adolescence conduct problems, its co-occurrence with hyperactivity/impulsivity, irritability, and/or depressive–anxiety symptoms heightened the general risk, but also predicted distinct subtypes of conduct problems (i.e., aggressive and rule-breaking behaviors). Thus, by studying complex developmental combinations of psychological features, we observed qualitatively distinct pathways towards conduct problems. A multitrajectory framework of psychological features should be considered as a significant step towards unveiling the multiple etiological pathways leading to conduct disorder and its substantial clinical heterogeneity.

scholarly journals SARS-CoV-2 Cumulative Incidence and Period Seroprevalence: Results from a Statewide Population-Based Serosurvey in California

2021 ◽  
Author(s):  
Katherine Lamba ◽  
Heather Bradley ◽  
Kayoko Shioda ◽  
Patrick S Sullivan ◽  
Nicole Luisi ◽  
...  
Keyword(s):  
Public Health ◽  
Cumulative Incidence ◽  
Population Based ◽  
Antibody Testing ◽  
California Department ◽  
Incidence Estimate ◽  
Home Based ◽  
Weighted Data ◽  
Race Ethnicity ◽  
California Population

Abstract Background California has reported the largest number of COVID-19 cases of any U.S. state, with more than 3.5 million confirmed as of March 2021. However, the full breadth of SARS-CoV-2 transmission in California is unknown since reported cases only represent a fraction of all infections. Methods We conducted a population-based serosurvey, utilizing mailed, home-based SARS-CoV-2 antibody testing along with a demographic and behavioral survey. We weighted data from a random sample to represent the adult California population and estimated period seroprevalence overall and by participant characteristics. Seroprevalence estimates were adjusted for waning antibodies to produce statewide estimates of cumulative incidence, the infection fatality ratio (IFR), and the reported fraction. Results California’s SARS-CoV-2 weighted seroprevalence during August–December 2020 was 4.6% (95% CI: 2.8–7.4%). Estimated cumulative incidence as of November 2, 2020 was 8.7% (95% CrI: 6.4%–11.5%), indicating 2,660,441 adults (95% CrI: 1,959,218–3,532,380) had been infected. The estimated IFR was 0.8% (95% CrI: 0.6%–1.0%), and the estimated percentage of infections reported to the California Department of Public Health was 31%. Disparately high risk for infection was observed among persons of Hispanic/Latinx ethnicity and people with no health insurance and who reported working outside the home. Conclusions We present the first statewide SARS-CoV-2 cumulative incidence estimate among adults in California. As of November 2020, approximately one in three SARS-CoV-2 infections in California adults had been identified by public health surveillance. When accounting for unreported SARS-CoV-2 infections, disparities by race/ethnicity seen in case-based surveillance persist.

scholarly journals Psychological factors underpinning vaccine willingness in Israel, Japan and Hungary

2021 ◽  
Author(s):  
Robin Goodwin ◽  
Menachem Ben-Ezra ◽  
Masahito Takahashi ◽  
Lan Anh Nguyen Luu ◽  
Krisztina Borsfay ◽  
...  
Keyword(s):  
Latent Class ◽  
Systems Approach ◽  
Vaccine Hesitancy ◽  
Effective Vaccine ◽  
Anticipated Regret ◽  
Nationally Representative ◽  
The Government ◽  
Using Data ◽  
The Individual ◽  
Representative Samples

The rapid international spread of the SARS-CoV-2 virus 19 led to unprecedented attempts to develop and administer an effective vaccine. However, there is evidence of considerable vaccine hesitancy in some countries and sub-populations. We investigated willingness to vaccinate in three nations with historically different levels of vaccine willingness and attitudes to the COVID-19 vaccine rollout: Israel, Japan and Hungary. Employing an ecological-systems approach we analysed associations between demographic factors and health status, individual cognitions, normative pressures, trust in government, belief in COVID-19 myths and willingness to be vaccinated, using data from three nationally representative samples (Israel, N=1011 (Jan 2021); Japan, N= 997 (Feb 2021); Hungary, N=1131 (Apr 2021)). In Israel 74% indicated a willingness to vaccinate, but only 51% in Japan and 31% in Hungary. Results from multigroup regression analyses indicated greater vaccine willingness amongst those who perceived benefits to vaccination, anticipated regret if not vaccinated and trusted the government. Multi-group latent class analysis of ten COVID-19 (mis)beliefs identified three classes of myths, with concerns about the alteration of DNA (Israel), allergies (Hungary) and catching COVID-19 from the vaccine (Japan) specific to vaccine willingness for each culture. Rather than focusing primarily on disease threats, intervention campaigns should focus on increasing trust and addressing culturally specific myths while emphasising the individual and social group benefits of vaccination.

scholarly journals Trajectories and Determinants of Physical Activity during COVID-19 Pandemic: A Population-Based Study of Middle-Aged and Elderly Individuals in The Netherlands

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 3832
Author(s):  
Amy Hofman ◽  
Marlou A. M. Limpens ◽  
Tosca O. E. de Crom ◽  
Mohammad Arfan Ikram ◽  
Annemarie I. Luik ◽  
...  
Keyword(s):  
Physical Activity ◽  
The Netherlands ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Public Health Problem ◽  
Population Based ◽  
World Health ◽  
Major Public Health Problem ◽  
Middle Aged ◽  
Health Organization

Physical inactivity is a major public health problem, and there are concerns this might have increased during the COVID-19 pandemic. We aimed to identify distinct trajectories of physical activity over a 6-week period after the first restrictive measures and to explore determinants of these trajectories in a population-based cohort of middle-aged and elderly in the Netherlands (n = 5777). We observed that at least 59% of participants did not meet the World Health Organization recommendations for physical activity. Using latent class trajectory analyses over three time points, we identified five distinct trajectories, including four steady trajectories at different levels (very low, low, medium and high) and one increasing trajectory. Using multinomial logistic regression analyses, we observed that, compared to the ‘steadily high’ trajectory, participants in the ‘steadily very low’ trajectory were more often older, lower educated, reporting poorer physical health, more depressive symptoms, consuming a less healthy diet, smoking, and lower alcohol use, and were less often retired. A similar pattern of determinants was seen for those in the increasing trajectory, albeit with smaller effect sizes. Concluding, we observed low levels of physical activity that generally remained during the pandemic. The determinants we described can help identify groups that require additional preventive interventions.

Sign in / Sign up

Export Citation Format

Share Document