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首页> 外文期刊>JMIR public health and surveillance. >Logistics Workers Are a Key Factor for SARS-CoV-2 Spread in Brazilian Small Towns: Case-Control Study
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Logistics Workers Are a Key Factor for SARS-CoV-2 Spread in Brazilian Small Towns: Case-Control Study

机译：物流工作人员是巴西小镇SARS-COV-2传播的关键因素：案例控制研究

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BACKGROUND:Data on how SARS-CoV-2 enters and spreads in a population are essential for guiding public policies.OBJECTIVE:This study sought to understand the transmission dynamics of SARS-CoV-2 in Brazilian small towns during the early phase of the epidemic, to identify core groups that can serve as initial source of infection as well as factors associated with higher risk of COVID-19.METHODS:Two population-based seroprevalence studies, one household survey and a case-control study were conducted in two small towns in the southeastern Brazil between May and June 2020. In the population-based studies, 400 people were evaluated in each town, there were 40 homes in the household survey, and 95 cases and 393 controls in the case-control study. SARS-CoV-2 serology testing was performed on participants and a questionnaire was applied. Prevalence, household secondary infection rate and factors associated with infection were assessed. Odds ratio (OR) was calculated by logistic regression. Logistics worker was defined as an individual with occupation focused on the transportation of people or goods and whose job involves traveling outside the town of residence at least once a week.RESULTS:Higher seroprevalence of SARS-CoV-2 was observed in the town with greater proportion of logistics workers. The secondary household infection rate was 49.1% and it was observed that in most households (70%) the index case was a logistics worker. The case-control study revealed that being a logistics worker (OR 18.0, 95% CI 8.4?38.7) or living with one (OR 6.9, 95% CI 3.3?14.5) increases the risk of infection. In addition, having close contact with a confirmed case (OR 13.4, 95% CI 6.6?27.3) and living with more than four people (OR 2.7, 95% CI 1.1?7.1) were also risk factors.CONCLUSIONS:Our study shows a strong association between logistics workers and the risk of SARS-CoV-2 infection as well as highlights the key role of these workers for viral spread in small towns. These findings indicate the need to focus on this population to determine COVID-19 prevention and control strategies, including vaccination and sentinel genomic surveillance.
机译：背景：关于SARS-COV-2如何进入和在人口中传播的数据对于指导公共政策是必不可少的。目的：这项研究试图了解在疫情的早期阶段的巴西小镇中SARS-COV-2的传输动态，鉴定可以作为初始感染源的核心群以及与Covid-19的风险更高的因素。方法：两个基于人口的血清升迁研究，一个家庭调查和案例对照研究是在两个小镇进行的在5月20日5月和6月之间的巴西东南部。在基于人口的研究中，每个城镇评估了400人，家庭调查中有40个家庭，案例控制研究中有95例和393例控制。 SARS-COV-2血清学测试是对参与者进行的，并申请问卷。评估患病率，家庭二次感染率和感染相关的因素。通过Logistic回归计算ODDS比率（或）。物流员被定义为具有职业的个人，专注于人员或商品的运输，其工作涉及每周至少一次在居住镇外旅行。结果：在镇上观察到SARS-COV-2的更高血清伪装物流工作者的比例。次要家用感染率为49.1％，观察到，在大多数家庭（70％）中，指数案例是物流职务。案例对照研究表明，作为物流工人（或18.0,95％CI 8.4？38.7）或用一种（或6.9,95％CI 3.3？14.5）增加感染风险。此外，与确认的案例（或13.4,95％CI 6.6？27.3）密切接触，并居住超过四个人（或2.7,95％CI 1.1？7.1）也是风险因素。结论：我们的研究显示了物流工人与SARS-COV-2感染的风险之间的强大协会，并突出了这些工人在小城镇传播病毒的关键作用。这些调查结果表明需要关注该人群来确定Covid-19预防和控制策略，包括疫苗接种和哨兵基因组监测。

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