Tracking COVID-19 data reporting & analysis in the United States

The United States remains the epicenter for the COVID-19 pandemic. Having accurate data reporting and analysis at the local, state, and national levels would help steer containment efforts, build a more targeted response strategy, and foster learnings across cities and states as new hotspots arise. Throughout the course of the pandemic, Population Council researchers have been tracking how COVID-19 data are reported and analyzed using a comprehensive analysis of 62 COVID-19 data sources from the Centers for Disease Control and Prevention (CDC) and health departments across 50 states, Washington D.C., and ten major cities. We assessed data completeness for COVID-19 testing and four outcomes (cases, hospitalizations, recoveries, and deaths), and examined disaggregation of COVID-19 testing and outcomes by a core set of demographic indicators, including age, race/ethnicity, sex/gender, geography, and underlying health conditions. This analysis also investigated how social and community level data were reported and analyzed, variations in data reporting, and changes over the course of the pandemic. Having this information can equip national and local health officials to deploy a more targeted response effort such as testing, contact tracing, treatment, and containment strategy.

美国仍是新型冠状病毒肺炎（COVID-19）大流行的震中。在地方、州及国家层面开展精准的数据报告与分析工作，将有助于指导疫情防控行动、制定更具针对性的应对策略，并在新的疫情热点出现时，推动各城市与州之间互鉴防疫经验。在本次大流行期间，人口理事会（Population Council）的研究人员通过对美国疾病控制与预防中心（Centers for Disease Control and Prevention, CDC）以及全美50个州、华盛顿哥伦比亚特区和10个主要城市的卫生部门提供的62个COVID-19数据源开展综合分析，持续追踪COVID-19数据的报告与分析模式。本研究评估了COVID-19检测及四项结局指标（确诊病例、住院病例、康复病例与死亡病例）的数据完整性，并针对年龄、种族/民族、生理性别/社会性别、地理区域以及基础健康状况等核心人口学特征，对COVID-19检测数据与上述结局指标数据的细分披露情况进行了分析。本次分析还探究了社会与社区层面数据的报告与分析方式、数据报告的差异，以及大流行期间相关数据的变化趋势。掌握此类信息，可助力国家及地方卫生官员部署更具针对性的防控举措，包括检测、接触者追踪、治疗与疫情防控策略。