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132 results for “Seroprevalence”
Seroprevalence of IgG antibodies against SARS coronavirus 2 in Belgium – a serial prospective cross-sectional nationwide study of residual samples (March – October 2020)
<p>This dataset contains information on seven prospective cross-sectional nationwide residual sera collection rounds. The samples were analyzed for IgG antibodies against S1 proteins of SARS-CoV-2 with a semi-quantitative commercial ELISA (EuroImmun, Luebeck, Germany).</p> <p>We provide a CSV file containing the following variables:</p> <ul> <li><strong>code</strong>: unique sample code</li> <li><strong>age_cat</strong>: age categories by 10-year age bands (0-10, 10-20, ..., 80-90, 90-Inf), the lower limit is included, e.g. 0-10 = [0,10)</li> <li><strong>sex</strong>: sex (f = female, m = male)</li> <li><strong>province</strong>: province of residence (11 categories)</li> <li><strong>region</strong>: region of residence (3 categories: Brussels, Flanders, Walloon)</li> <li><strong>collection_round</strong>: collection round (values 1 to 7)</li> <li><strong>collection_start</strong>: start date of the collection round</li> <li><strong>collection_end</strong>: end date of the collection round</li> <li><strong>igg_orig</strong>: measured IgG OD value as character (note, a semi-quantitative ELISA was used, i.e. this should not be interpreted continiously)</li> <li><strong>igg_cat</strong>: categorized IgG OD values <ul> <li><em>LoD</em>: IgG OD < 0.15</li> <li><em>negative</em>: 0.15 ≤ IgG OD < 0.8</li> <li><em>borderline</em>: 0.8 ≤ IgG OD < 1.1</li> <li><em>positive</em>: 1.1 ≤ IgG OD</li> </ul> </li> </ul> <p>Please see publication mentioned underneath for more details (<a href="https://doi.org/10.1101/2020.06.08.20125179">https://doi.org/10.1101/2020.06.08.20125179</a>).</p> <p><strong>Funding:</strong> This work received funding from the European Union's Horizon 2020 research and innovation program - project EpiPose (No 101003688), the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement 682540 TransMID), the Flemish Research Fund (FWO 1150017N) and from The Antwerp University Fund; which is a community of donors who contribute to research and education with their personal commitment through a donation, gift, bequest or through academic chairs. The funders had no role in study design, data collection, data analysis, data interpretation, writing or submitting of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.</p>
Database of COVID-19 Seroprevalence in Oran, Algeria - January 2021
<p>This is a database related to the seroprevalence survey conducted in Oran, Algeria during the month of January in the year 2021, just before the commencement of the anti-COVID-19 vaccination.</p>
Fig. 2. A in A large-scale study on the seroprevalence of Toxoplasma gondii infection in humans in Iran
Fig. 2. A GIS map of IgM seroprevalence of Toxoplasma gondii (Nicolle et Manceaux, 1908) in different provinces of Iran, during 2015–2020 (ND – no data).
Fig. 3. A in A large-scale study on the seroprevalence of Toxoplasma gondii infection in humans in Iran
Fig. 3. A GIS map of IgG seroprevalence of Toxoplasma gondii (Nicolle et Manceaux, 1908) in different provinces of Iran, during 2015–2020.
Fig. 1 in Seroprevalence of Toxoplasma gondii infection from water buffaloes (Bubalus bubalis) in northeastern and southern Thailand
Fig. 1. Epidemiological seroprevalence of Toxoplasma gondii (Nicolle et Manceaux, 1908) in water buffaloes from northeastern and southern Thailand. Figures in parentheses are seroprevalence/number of farms/number of samples/population size.
Fig. 1 in A large-scale study on the seroprevalence of Toxoplasma gondii infection in humans in Iran
Fig. 1. The seroprevalence plot of Toxoplasma gondii (Nicolle et Manceaux, 1908) in Iran in different age groups (m-month; y-year).
Seroprevalence of Entamoeba histolytica at a voluntary counselling and testing centre in Tokyo: a cross-sectional study
<p><strong>Background</strong> Amebiasis, which is caused by <em>Entamoeba histolytica</em>, is a re-emerging public health issue owing to sexually transmitted infection (STI) in Japan. However, epidemiological data are quite limited.<br> <strong>Methods</strong> To reveal the relative prevalence of sexually transmitted <em>E. histolytica</em> infection to other STIs, we conducted a cross-sectional study at a voluntary counselling and testing (VCT) centre in Tokyo. Seroprevalence of <em>E. histolytica</em> was assessed according to positivity with an enzyme-linked immunosorbent assay for <em>E. histolytica</em>-specific IgG in serum samples collected from anonymous VCT clients.<br> <strong>Results</strong> Among 2,083 samples, seropositive rate for <em>E. histolytica</em> was 2.64%, which was higher than that for HIV-1 (0.34%, p < 0.001) and comparable to that for syphilis (rapid plasma reagin (RPR) 2.11%, p = 0.31). Positivity for <em>Chlamydia trachomatis</em> in urine by transcription-mediated amplification (TMA) was 4.59%. Seropositivity for <em>E. histolytica</em> was high among RPR- or Treponema pallidum hemagglutination (TPHA)-positive individuals and it was not different between clients with and without other STIs. Both seropositivity of <em>E. histolytica</em> and RPR were high among male clients. The seropositive rate for anti-<em>E. histolytica</em> antibody was positively correlated with age. TMA positivity for urine <em>C. trachomatis</em> was high among female clients and negatively correlated with age. Regression analysis identified that male sex, older age, and TPHA-positive results are independent risk factors of <em>E. histolytica</em> seropositivity.<br> <strong>Conclusions</strong> Seroprevalence of <em>E. histolytica</em> was 7.9 times higher than that of HIV-1 at a VCT centre in Tokyo, with a tendency to be higher among people at risk for syphilis infection. There is a need for education and specific interventions against this parasite, as a potentially re-<br> 65 emerging pathogen.</p>
A meta-analysis exploring associations between habitat degradation and Neotropical bat virus prevalence and seroprevalence
<p>Habitat degradation can increase zoonotic disease risks by altering infection dynamics in wildlife and increasing wildlife–human interactions. Bats are an important taxonomic group to consider these effects, because they harbour many relevant zoonotic viruses and have species- and context-dependent responses to degradation that could affect zoonotic virus dynamics. Yet our understanding of the associations between habitat degradation and bat virus prevalence and seroprevalence are limited to a small number of studies, which often differ in the bats or viruses sampled, the study region, and methodology. To develop a broad understanding of the associations between bat viruses and habitat degradation, we conducted an initial phylogenetic meta-analysis that combines published prevalence and seroprevalence ("(sero)prevalence") with remote-sensing habitat degradation data. Our dataset includes 588 unique records of (sero)prevalence across 16 studies, 64 bat species, and five virus families. We quantified the overall strength and direction of the relationship between habitat degradation and bat virus outcomes and tested how this relationship is moderated by the time between habitat degradation and bat sampling and by ecological traits of bat hosts while controlling for phylogenetic nonindependence among bat species. We found no effect of degradation on prevalence overall, although a weak effect may exist when forest loss occurs the year prior to bat sampling. In contrast, we detected a negative but weak association between degradation and seroprevalence overall that was strengthened when forest loss occurred the year prior to bat sampling. No bat traits that we investigated interacted with habitat degradation to impact virus outcomes, suggesting observed trends are independent of these traits. Biases in our initial dataset highlight opportunities for future work; prevalence was highly zero-inflated, and seroprevalence was dominated by <em>Desmodus rotundus</em> and rabies virus. These findings and subsequent analyses will improve our understanding of how global change affects host–pathogen dynamics.</p>
Seroprevalence survey on infection with the SARS-CoV-2 virus after the second wave in Kinshasa, Democratic Republic of the Congo. 2021
<p>Results of population-based age stratified seroepidemiological investigation in the Democratic Republic of the Congo</p>
A NATIONAL STUDY OF SEROPREVALENCE OF COVID-19 INFECTION IN THE POPULATION OF THE REPUBLIKA SRPSKA
<p>Results of population-based age stratified seroepidemiological investigation in the Republika Srpska.</p>
anabreuinsp/Code-availability-: Code availability for the paper Seroprevalence in Mexico published in nature communication.
<p>Here you can find two do-file (.do) in stata to run the main analysis and the sensitivity analysis to take into account a possible response bias. In both cases, after running the script, you need to adjust for sensitivity and specificity of the test, using the excel file that generates confidence intervals. The provided excel file (.xlsx) contains the in-house' sensitivity and specificity. If you want to run the manufacturer test performance (another sensitivity analysis) you need to change the values in D6, D7, E6, E7, F6, and F7. The database in .dta is provided to run the sensitivity analysis.</p>
Seroprevalence of immunoglobulin G antibodies against SARS-CoV-2 in Cyprus
<p>Four vaccines that have been authorized in the European Union offer different levels of protection against SARS-CoV-2 by generating immune responses against the spike receptor-binding domain (RBD) of the virus. Monitoring the levels of IgG antibodies against the SARS-CoV-2 is important during the coronavirus disease 2019 (COVID-19) pandemic to plan an adequate and evidence-based public health response. We compared the levels of serum IgG antibodies against SARS-CoV-2 spike protein in three groups: i) individuals without evidence of prior infection with SARS-CoV-2 who received one or two doses of either an mRNA-based (Comirnaty BNT162b2/Pfizer-BioNTech or Spikevax mRNA-1273/Moderna) or an adenoviral-based vaccine (Vaxzervia ChAdOx1 nCoV-19 /Oxford-Astra Zeneca) (n=227), ii) unvaccinated individuals with evidence of prior infection with SARS-CoV-2 (n=109), and iii) individuals with evidence of prior infection with SARS-CoV-2 who received at least one dose of a vaccine (n=30). Unvaccinated individuals without evidence of prior infection with SARS-CoV-2 were used as a control group (n=211). Our results indicate that vaccine-induced responses lead to higher levels of IgG antibodies compared to those produced following infection with the virus. In agreement with previous studies, our results suggest that among individuals previously infected with SARS-CoV-2, even a single dose of a vaccine is adequate to elicit high levels of humoral immunity.</p>
COVID-19: Longitudinal Study of Seroprevalence of SARS-CoV-2 Antibodies and Development of Immunity in School Children
ClinicalTrials.gov study NCT04448717. IPD Sharing: UNDECIDED. Countries: 1. Publications: 14.
Seroprevalence of SARS-Cov-2 Antibodies in Children
ClinicalTrials.gov study NCT04347408. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study to Determine the Seroprevalence of Bordetella Pertussis in Adults in Hungary
ClinicalTrials.gov study NCT02014519. IPD Sharing: YES. Countries: 1. Publications: 1.
The omicron variant of SARS-CoV-2 drove broadly increased seroprevalence in a public university setting
Open the record for dataset details and reuse information.
A meta-analysis exploring associations between habitat degradation and Neotropical bat virus prevalence and seroprevalence
Open the record for dataset details and reuse information.
Seroprevalence of Entamoeba histolytica at a voluntary counselling and testing centre in Tokyo: a cross-sectional study
Open the record for dataset details and reuse information.
Data from: A systematic review and meta-analysis of seroprevalence surveys of ebolavirus infection
Asymptomatic ebolavirus infection could greatly influence transmission dynamics, but there is little consensus on how frequently it occurs or even if it exists. This paper summarises the available evidence on seroprevalence of Ebola, Sudan and Bundibugyo virus IgG in people without known ebolavirus disease. Through systematic review, we identified 51 studies with seroprevalence results in sera collected from 1961 to 2016. We tabulated findings by study population, contact, assay, antigen and positivity threshold used, and present seroprevalence point estimates and 95% confidence intervals. We classified sampled populations in three groups: those with household or known case-contact; those living in outbreak or epidemic areas but without reported case-contact; and those living in areas with no recorded cases of ebolavirus disease. We performed meta-analysis only in the known case-contact group since this is the only group with comparable exposures between studies. Eight contact studies fitted our inclusion criteria, giving an overall estimate of seroprevalence in contacts with no reported symptoms of 3.3% (95% CI 2.4-4.4, p<0.001), but with substantial heterogeneity.
Data from: Detection error influences both temporal seroprevalence predictions and risk factors associations in wildlife disease models
Understanding the prevalence of pathogens in invasive species is essential to guide efforts to prevent transmission to agricultural animals, wildlife, and humans. Pathogen prevalence can be difficult to estimate for wild species due to imperfect sampling and testing (pathogens may not be detected in infected individuals and erroneously detected in individuals that are not infected). The invasive wild pig (Sus scrofa, also referred to as wild boar and feral swine) is one of the most widespread hosts of domestic animal and human pathogens in North America. We developed hierarchical Bayesian models that account for imperfect detection to estimate the seroprevalence of five pathogens (porcine reproductive and respiratory syndrome virus, pseudorabies virus, Influenza A virus in swine, Hepatitis E virus, and Brucella spp.) in wild pigs in the United States using a dataset of over 50,000 samples across nine years. To assess the effect of incorporating detection error in models, we also evaluated models that ignored detection error. Both sets of models included effects of demographic parameters on seroprevalence. We compared our predictions of seroprevalence to 40 published studies, only one of which accounted for imperfect detection. We found a range of seroprevalence among the pathogens with a high seroprevalence of pseudorabies virus, indicating significant risk to livestock and wildlife. Demographics had mostly weak effects, indicating that other variables may have greater effects in predicting seroprevalence. Models that ignored detection error led to different predictions of seroprevalence as well as different inferences on the effects of demographic parameters. Our results highlight the importance of incorporating detection error in models of seroprevalence and demonstrate that ignoring such error may lead to erroneous conclusions about the risk associated with pathogen transmission. When using opportunistic sampling data to model seroprevalence and evaluate risk factors, detection error should be included.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.