Longitudinal Study on Seroprevalence and Immune Response to SARS-CoV-2 in a Population of Food and Retail Workers Through Transformation of ELISA Datasets

Abdelhadi Djaïleb, Megan-Faye Parker, Étienne Lavallée, Matthew Stuible, Yves Durocher, Mathieu Thériault, Kim Santerre, Caroline Gilbert, Denis Boudreau, Mariana Baz, Jean-Francois Masson, Marc-André Langlois, Sylvie Trottier, Daniela Quaglia, Joelle N. Pelletier
{"title":"Longitudinal Study on Seroprevalence and Immune Response to SARS-CoV-2 in a Population of Food and Retail Workers Through Transformation of ELISA Datasets","authors":"Abdelhadi Djaïleb, Megan-Faye Parker, Étienne Lavallée, Matthew Stuible, Yves Durocher, Mathieu Thériault, Kim Santerre, Caroline Gilbert, Denis Boudreau, Mariana Baz, Jean-Francois Masson, Marc-André Langlois, Sylvie Trottier, Daniela Quaglia, Joelle N. Pelletier","doi":"10.1101/2024.01.27.24301877","DOIUrl":null,"url":null,"abstract":"Since the onset of the global pandemic caused by the emergence and spread of SARS-CoV-2 in early 2020, numerous studies have been conducted worldwide to understand our immune response to the virus. This study investigates the humoral response elicited by vaccination and by SARS-CoV-2 infection in the poorly studied food and retail workers in the Quebec City area. The 1.5-year study period spans from early 2021, when vaccination became available in this region, to mid-2022, following waves of virulence due to the emergence of the first Omicron variants. Cross-correlated with data on workplace protective measures, pre-existing conditions, activities and other potentially relevant factors, this longitudinal study applies recently developed ELISA data transformation to our dataset to obtain normal distribution. This unlocked the possibility to use the ANOVA-Welsh method for statistical analysis to obtain a statistical perspective of the serological response. Our work allows the identification of factors contributing to statistically relevant differences in the humoral response of the cohort and strengthens the utility of the use of decentralized approaches to serological analysis.","PeriodicalId":501527,"journal":{"name":"medRxiv - Allergy and Immunology","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Allergy and Immunology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.01.27.24301877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Since the onset of the global pandemic caused by the emergence and spread of SARS-CoV-2 in early 2020, numerous studies have been conducted worldwide to understand our immune response to the virus. This study investigates the humoral response elicited by vaccination and by SARS-CoV-2 infection in the poorly studied food and retail workers in the Quebec City area. The 1.5-year study period spans from early 2021, when vaccination became available in this region, to mid-2022, following waves of virulence due to the emergence of the first Omicron variants. Cross-correlated with data on workplace protective measures, pre-existing conditions, activities and other potentially relevant factors, this longitudinal study applies recently developed ELISA data transformation to our dataset to obtain normal distribution. This unlocked the possibility to use the ANOVA-Welsh method for statistical analysis to obtain a statistical perspective of the serological response. Our work allows the identification of factors contributing to statistically relevant differences in the humoral response of the cohort and strengthens the utility of the use of decentralized approaches to serological analysis.
通过转换酶联免疫吸附试验数据集对食品和零售业工人群体中 SARS-CoV-2 血清流行率和免疫反应的纵向研究
自 2020 年初 SARS-CoV-2 的出现和传播引发全球大流行以来,世界各地开展了大量研究,以了解我们对该病毒的免疫反应。本研究调查了疫苗接种和魁北克市食品和零售业工人感染 SARS-CoV-2 后引起的体液反应。研究时间跨度为 1.5 年,从 2021 年初(该地区开始接种疫苗)到 2022 年年中,即第一批 Omicron 变种出现后的毒力高峰期。这项纵向研究将最近开发的酶联免疫吸附试验(ELISA)数据转换应用于我们的数据集,以获得正态分布。这就为使用方差分析-韦尔什方法进行统计分析提供了可能性,从而从统计学角度了解血清反应。通过我们的工作,可以确定导致队列体液反应统计学差异的因素,并加强使用分散方法进行血清学分析的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信