Oliveira Elaine Cristina de, Terças-Trettel Ana Cláudia Pereira, Andrade Amanda Cristina de Souza, Muraro Ana Paula, Santos Emerson Soares Dos, Espinosa Mariano Martinez, Musis Carlo Ralph De
Secretaria de Estado de Saúde de Mato Grosso, Cuiabá, Brasil.
Universidade do Estado de Mato Grosso, Tangará da Serra, Brasil.
Cad Saude Publica. 2022 Jun 8;38(5):e00093021. doi: 10.1590/0102-311XPT093021. eCollection 2022.
Seroprevalence data provide relevant information on the development and progression of the COVID-19 pandemic. The study aimed to estimate the prevalence of SARS-CoV-2 antibodies in Mato Grosso State, Brazil, and its distribution according to sociodemographic and economic characteristics. This population-based serological survey was conducted in September-October 2020 in individuals 18 years or older in ten municipalities (counties) in the state of Mato Grosso. Interviews and collection of biological samples were conducted in the households, and determination of IgG antibodies to SARS-CoV-2 was performed with chemiluminescence. A total of 4,306 individuals were evaluated, and COVID-19 prevalence was estimated at 12.5% (95%CI: 10.5; 14.7), ranging from 7.4% to 24.3% between municipalities. No significant differences were found in prevalence of infection according to race/color, schooling, or family income, but lower prevalence was seen in individuals with a pensioner living in the same household, who did not receive emergency financial aid, and whose family income had not decreased after social distancing measures during the epidemic. Estimated prevalence of SARS-CoV-2 antibodies in this population-based survey is essential to measure the magnitude of the disease and will back measures to confront and control the pandemic.
血清流行率数据为新冠疫情的发展和演变提供了相关信息。该研究旨在估算巴西马托格罗索州严重急性呼吸综合征冠状病毒2(SARS-CoV-2)抗体的流行率及其根据社会人口统计学和经济特征的分布情况。这项基于人群的血清学调查于2020年9月至10月在马托格罗索州十个市(县)的18岁及以上人群中开展。在家庭中进行访谈并采集生物样本,采用化学发光法检测SARS-CoV-2 IgG抗体。共评估了4306人,新冠病毒感染率估计为12.5%(95%置信区间:10.5;14.7),各市之间的感染率在7.4%至24.3%之间。根据种族/肤色、受教育程度或家庭收入,未发现感染率有显著差异,但在同一家庭中有领取养老金者、未获得紧急财政援助且在疫情期间采取社交距离措施后家庭收入未减少的人群中,感染率较低。在这项基于人群的调查中,SARS-CoV-2抗体的估计流行率对于衡量疾病的严重程度至关重要,并将为应对和控制疫情的措施提供支持。