Department of Epidemiology and Biostatistics, College of Public Health, Temple University, 1301 Cecil B. Moore Ave., Ritter Annex, 9th Floor, Rm 917, Philadelphia, PA, 19122, USA.
Fox Chase Cancer Center, Temple University Health, Philadelphia, PA, USA.
BMC Public Health. 2024 Aug 29;24(1):2345. doi: 10.1186/s12889-024-19772-4.
Track PCC includes five geographic surveillance sites to conduct standardized population-based surveillance to estimate and track Post-COVID Conditions (PCC) by age, sex, race/ethnicity, geographic area, severity of initial infection, and risk factors among persons with evidence of SARS-CoV-2 infection (based on the Council of State and Territorial Epidemiologist [CSTE] case definitions for confirmed cases or laboratory-confirmed evidence of infection).
The study will estimate the incidence, prevalence, including temporal trends, and duration and severity of PCC symptoms, among children, adolescents, and adults. PCCs include a broad range of symptoms and conditions that continue or develop after acute SARS-CoV-2 infection or COVID-19 illness. Surveillance includes both passive and active components for diverse populations in Arizona, Indiana, and Utah as well as the Bronx Borough, NY, and part of Philadelphia County, PA. Passive surveillance will utilize electronic health records and health information exchanges within each site catchment area to longitudinally follow persons with COVID-19 to estimate PCC occurring at least 30 days after acute COVID-19 illness. Active surveillance will utilize self-report of PCCs from detailed surveys of persons ages 7 years and older with evidence of SARS-CoV-2 infection in the past 3 months. Respondents will complete follow-up surveys at 6-, 12- and 18-months post-infection.
These data can help identify which groups are most affected by PCC, and what health differences among demographic groups exist, as well as indicate potential barriers to care. These additional levels of granularity can inform public health action and help direct needed clinical care for patients.
Track PCC 包括五个地理监测点,以进行标准化的基于人群的监测,根据年龄、性别、种族/族裔、地理区域、初始感染严重程度以及有 SARS-CoV-2 感染证据的人群中的风险因素,估计和跟踪新冠后状况 (PCC)(基于州和地区流行病学家委员会 [CSTE] 对确诊病例或感染的实验室确诊证据的病例定义)。
该研究将估计儿童、青少年和成年人中 PCC 的发生率、患病率,包括时间趋势以及 PCC 症状的持续时间和严重程度。PCC 包括广泛的症状和状况,这些症状和状况在急性 SARS-CoV-2 感染或 COVID-19 疾病后持续或发展。监测包括亚利桑那州、印第安纳州和犹他州以及纽约州布朗克斯区和宾夕法尼亚州费城部分地区的多样化人群的被动和主动监测组件。被动监测将利用每个监测点集水区内的电子健康记录和健康信息交换,对 COVID-19 患者进行纵向随访,以估计至少在急性 COVID-19 疾病后 30 天发生的 PCC。主动监测将利用过去 3 个月内有 SARS-CoV-2 感染证据的 7 岁及以上人群的详细调查,自我报告 PCC。受访者将在感染后 6、12 和 18 个月完成随访调查。
这些数据可以帮助确定哪些人群受 PCC 影响最大,以及不同人群之间存在哪些健康差异,并指出潜在的护理障碍。这些额外的粒度级别可以为公共卫生行动提供信息,并帮助为患者提供所需的临床护理。