Ministério da Saúde, Secretaria de Vigilância em Saúde, Brasília, DF, Brasil.
Universidade de Brasília, Programa de Pós-Graduação em Saúde Coletiva, Brasília, DF, Brasil.
Epidemiol Serv Saude. 2020 Jun 12;29(3):e2020066. doi: 10.5123/S1679-49742020000300013. eCollection 2020.
to evaluate attributes of the severe acute respiratory syndrome (SARS) surveillance system in Brazil, 2014-2016.
this was an evaluation study conducted according to United States Centers for Disease Control and Prevention guidelines. Data from the Influenza Web information system notified for the period 2014-2016 were used. The simplicity, completeness, inconsistency, timeliness, acceptability, representativeness, positive predictive value (PPV) of the SARS case definition attributes and usefulness were evaluated.
a simple structure was found with good completeness (100% for required variables; >95% for optional variables); low inconsistency (3.2%); lack of timeliness (68.2%); low acceptability (average of 70.4%); representative of the territory (capable of analyzing risk groups); high PPV (29.1%); useful (fulfils system objectives).
the attributes evaluated indicate that the system is capable of providing complete, representative and useful information about influenza, adequate for guiding national health responses.
评估 2014-2016 年巴西严重急性呼吸综合征（SARS）监测系统的属性。
这是一项根据美国疾病控制与预防中心指南进行的评价研究。使用了 2014-2016 年期间流感网络信息系统报告的资料。评估 SARS 病例定义属性的简单性、完整性、不一致性、及时性、可接受性、代表性、阳性预测值（PPV）和有用性。
该系统结构简单，完整性好（必填变量为 100%；选填变量>95%）；不一致性低（3.2%）；及时性差（68.2%）；可接受性低（平均 70.4%）；具有代表性（能够分析风险群体）；PPV 高（29.1%）；有用（满足系统目标）。
所评估的属性表明，该系统能够提供有关流感的完整、有代表性和有用的信息，足以指导国家卫生应对措施。
