Detection of Real-Time Changes in Direction of COVID-19 Transmission Using National- and State-Level Epidemic Trends Based on Rt Estimates - United States Overall and New Mexico, April-October 2024.

IF 25.4 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH MMWR. Morbidity and mortality weekly report Pub Date : 2024-11-21 DOI:10.15585/mmwr.mm7346a3
Danielle M Richard, Zachary Susswein, Sarah Connolly, Adán Myers Y Gutiérrez, Roselyn Thalathara, Kelly Carey, Emily H Koumans, Diba Khan, Nina B Masters, Nathan McIntosh, Patrick Corbett, Isaac Ghinai, Rebecca Kahn, Adrienne Keen, Juliet Pulliam, Daniel Sosin, Katelyn Gostic
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Abstract

Public health practitioners rely on timely surveillance data for planning and decision-making; however, surveillance data are often subject to delays. Epidemic trend categories, based on time-varying effective reproductive number (Rt) estimates that use nowcasting methods, can mitigate reporting lags in surveillance data and detect changes in community transmission before reporting is completed. CDC analyzed the performance of epidemic trend categories for COVID-19 during summer 2024 in the United States and at the state level in New Mexico. COVID-19 epidemic trend categories were estimated and released in real time based on preliminary data, then retrospectively compared with final emergency department (ED) visit data to determine their ability to detect or confirm real-time changes in subsequent ED visits. Across the United States and in New Mexico, epidemic trend categories were an early indicator of increases in COVID-19 community transmission, signifying increases in COVID-19 community transmission in May, and a confirmatory indicator that decreasing COVID-19 ED visits reflected actual decreases in COVID-19 community transmission in September, rather than incomplete reporting. Public health decision-makers can use epidemic trend categories, in combination with other surveillance indicators, to understand whether COVID-19 community transmission and subsequent ED visits are increasing, decreasing, or not changing; this information can guide communications decisions.

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利用基于 Rt 估计值的国家和州一级流行趋势检测 COVID-19 传播方向的实时变化 - 美国总体和新墨西哥州,2024 年 4 月至 10 月。
公共卫生从业人员的规划和决策依赖于及时的监测数据;然而,监测数据往往会出现延迟。流行病趋势类别基于使用即时预测方法的时变有效繁殖数 (Rt) 估计值,可以减轻监测数据的报告滞后性,并在报告完成之前发现社区传播的变化。疾病预防控制中心分析了 2024 年夏季 COVID-19 流行趋势类别在美国和新墨西哥州的表现。COVID-19 流行趋势类别是根据初步数据估算并实时发布的,然后与最终急诊科 (ED) 就诊数据进行回顾性比较,以确定其在后续急诊科就诊中检测或确认实时变化的能力。在全美和新墨西哥州,流行趋势类别是 COVID-19 社区传播增加的早期指标,标志着 5 月份 COVID-19 社区传播的增加,同时也是一个确认指标,表明 COVID-19 急诊就诊人数的减少反映了 9 月份 COVID-19 社区传播的实际减少,而不是报告不完整。公共卫生决策者可以利用流行趋势类别与其他监测指标相结合,了解 COVID-19 社区传播和随后的 ED 就诊量是在增加、减少还是没有变化;这一信息可以为传播决策提供指导。
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来源期刊
MMWR. Morbidity and mortality weekly report
MMWR. Morbidity and mortality weekly report PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
65.40
自引率
0.90%
发文量
309
期刊介绍: The Morbidity and Mortality Weekly Report (MMWR ) series is prepared by the Centers for Disease Control and Prevention (CDC). Often called “the voice of CDC,” the MMWR series is the agency’s primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominantly consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians.
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