Saint Louis University Center for Health Outcomes Research, Saint Louis, MO; Division of Infectious Diseases, Allergy, and Immunology, Saint Louis University, Saint Louis, MO; The Geospatial Institute at Saint Louis University, Saint Louis, MO.
The Geospatial Institute at Saint Louis University, Saint Louis, MO; Department of Behavioral Science and Health Education, Saint Louis University College for Public Health and Social Justice, Saint Louis, MO.
Am J Infect Control. 2020 Aug;48(8):961-963. doi: 10.1016/j.ajic.2020.05.007. Epub 2020 May 11.
In the absence of widespread testing, syndromic surveillance approaches may be useful for understanding potential undocumented coronavirus disease 2019 (COVID-19) in the United States. We used publicly available data from the Centers for Disease Control and Prevention FluView Interactive to evaluate its potential for COVID-19 syndromic surveillance. Unlike the prior 3 influenza seasons, we found a 76% decrease in influenza positive tests and a 27% increase in influenza like illness during the weeks since COVID-19 outbreaks began in the United States, which suggests FluView's potential utility for COVID-19 syndromic surveillance.
在缺乏广泛检测的情况下,综合征监测方法可能有助于了解美国潜在的未记录的 2019 年冠状病毒病(COVID-19)。我们使用了美国疾病控制与预防中心流感视图交互式提供的公开可用数据,以评估其用于 COVID-19 综合征监测的潜力。与之前的三个流感季节不同,自 COVID-19 在美国爆发以来的几周内,我们发现流感阳性检测结果下降了 76%,而流感样疾病增加了 27%,这表明 FluView 对 COVID-19 综合征监测具有潜在的用途。