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Dataset results
9 results for “Covid Infection Survey”
Weekly CoMix contact matrices for UKHSA COVID-19 dashboard and ONS COVID-19 infection survey age-groups
<p>Weekly contact matrices calculated from data collected as part of the UK arm of the CoMix survey. All contact matrices were calculated over two survey rounds (SR) of data to account for alternating panels (the indicated SR and the previous SR). Full details of composition can be found in Munday et. al. [1]. Contact matrices are provided for age-groups consistent with publicly available case data from the UKHSA COVID-19 dashboard <strong> (0-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70+) </strong>and publicly available aggregates of infection and antibody prevalence from the ONS COVID-19 infection survey <strong>(2-10, 11-15, 16-24, 25-34, 35-49, 49-69 and 70+)</strong>. The data is provided in qs files as 1000 bootstrapped samples of each contact matrix for weekly 'survey rounds' between 19 and 94 (see directory "survey_round_dates.csv"). The files that begin with UKHSA contain the contact matrices for the age stratification of the UKHSA COVID-19 dashboard case data. The files that begin with ONS contain the contact matrices for the age stratification of the ONS COVID-19 infection survey. </p> <p>Ethics: The study and method of informed consent were approved by the ethics committee of the London School of Hygiene & Tropical Medicine (LSHTM; reference number 21795).</p> <p>1. Munday, J.D., Jarvis, C.I., Gimma, A. <em>et al.</em> Estimating the impact of reopening schools on the reproduction number of SARS-CoV-2 in England, using weekly contact survey data. <em>BMC Med</em> <strong>19</strong>, 233 (2021). https://doi.org/10.1186/s12916-021-02107-0</p>
Lineage replacement and evolution captured by three years of the United Kingdom Covid Infection Survey
<p>The Office for National Statistics COVID-19 Infection Survey (ONS-CIS) is the largest surveillance study of SARS-CoV-2 positivity in the community and collected data on the United Kingdom (UK) epidemic from April 2020 until March 2023 before being paused. Here, we report on the epidemiological and evolutionary dynamics of SARS-CoV-2 determined by analysing the sequenced samples collected by the ONS-CIS during this period. We observed a series of sweeps or partial sweeps, with each sweeping lineage having a distinct growth advantage compared to its predecessors. The sweeps also generated an alternating pattern in which most samples had either S-gene target failure (SGTF) or non-SGTF over time. Evolution was characterised by steadily increasing divergence and diversity within lineages but with step increases in divergence associated with each sweeping major lineage. This led to a faster overall rate of evolution when measured at the between-lineage level compared to within-lineages, and fluctuating levels of diversity. These observations highlight the value of viral sequencing integrated into community surveillance studies to monitor the viral epidemiology and evolution of SARS-CoV-2, and potentially other pathogens, particularly in the current phase of the pandemic with routine RT-PCR testing now ended in the community.</p>
Lineage replacement and evolution captured by three years of the United Kingdom Covid Infection Survey
Open the record for dataset details and reuse information.
Seroepidemiological survey of coronavirus 2019 (COVID-19) infection in the general population in Gabon
<p>Results of population-based age stratified seroepidemiological investigation in Gabon</p>
Profiling of Post Covid-19 Infection Patients: an Online Survey
ClinicalTrials.gov study NCT04912778. IPD Sharing: Not stated. Countries: 1. Publications: 1.
COVID-19 Infection at Samusocial in Paris: Descriptive and Serological Survey
ClinicalTrials.gov study NCT04470648. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Population-based Seroprevalence Survey of COVID-19 Virus Infection in Malaysia
<p>Results of population-based age stratified seroepidemiological investigation in Malaysia</p>
Survey of COVID-19 Infection
ClinicalTrials.gov study NCT05706064. IPD Sharing: NO. Countries: 1. Publications: 0.
Residual Symptoms and the Quality of Life in Individuals Recovered From COVID-19 Infection: A Survey From Pakistan
ClinicalTrials.gov study NCT05148676. IPD Sharing: NO. Countries: 1. Publications: 0.
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