A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Prevalence and determinants of serum antibodies to SARS-CoV-2 in the general population of the Gardena valley. | LitMetric

AI Article Synopsis

  • Estimating SARS-CoV-2 infection spread is essential, as demonstrated in a survey of 2244 community members in Gardena valley during the pandemic's initial phase in Europe.
  • The study found a 26.9% seroprevalence rate by June 2020, with serum bioassays from Diasorin and Abbott showing only modest agreement.
  • Key factors associated with seropositivity included economic activity and location, while symptoms like fever and weakness varied by age, highlighting the need for targeted COVID-19 mitigation strategies in high prevalence areas.

Article Abstract

Estimating the spread of SARS-CoV-2 infection in communities is critical. We surveyed 2244 stratified random sample community members of the Gardena valley, a winter touristic area, amidst the first expansion phase of the COVID-19 pandemic in Europe. We measured agreement between Diasorin and Abbott serum bioassay outputs and the Abbott optimal discriminant threshold of serum neutralisation titres with recursive receiver operating characteristic curve. We analytically adjusted serum antibody tests for unbiased seroprevalence estimate and analysed the determinants of infection with non-response weighted multiple logistic regression. SARS-CoV-2 seroprevalence was 26.9% (95% CI 25.2-28.6) by June 2020. The bioassays had a modest agreement with each other. At a lower threshold than the manufacturer's recommended level, the Abbott assay reflected greater discrimination of serum neutralisation capacity. Seropositivity was associated with place and economic activity, not with sex or age. Symptoms like fever and weakness were age-dependent. SARS-CoV-2 mitigation strategies should account for context in high prevalence areas.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387688PMC
http://dx.doi.org/10.1017/S0950268821001886DOI Listing

Publication Analysis

Top Keywords

gardena valley
8
serum neutralisation
8
serum
5
prevalence determinants
4
determinants serum
4
serum antibodies
4
sars-cov-2
4
antibodies sars-cov-2
4
sars-cov-2 general
4
general population
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!