Mesh : Humans COVID-19 / epidemiology prevention & control mortality SARS-CoV-2 Epidemiological Monitoring Global Health Pandemics Disease Outbreaks

来  源:   DOI:10.1097/MD.0000000000038766   PDF(Pubmed)

Abstract:
Control charts help epidemiologists and healthcare professionals monitor disease incidence and prevalence in real time, preventing outbreaks and health emergencies. However, there remains a notable gap in the comprehensive exploration and application of these techniques, particularly in the context of monitoring and managing disease outbreaks. This study analyses and categorizes worldwide control chart applications from 2000 to 2023 in outbreak monitoring in over 20 countries, focusing on corona-virus (COVID-19), and chooses optimal control charts for monitoring US COVID-19 death waves from February 2020 to December 2023. The systematic literature review analyzes available 35 articles, categorizing data by year, variable, country, study type, and chart design. A selected optimal chart is applied to monitor COVID-19 death patterns and waves in the USA. Control chart adoption in epidemiology monitoring increased during the COVID-19 pandemic, with annual patterns showing a rise in 2021 to 2023 (18%, 36%, 41%). Important variables from 2000 to 2019 include influenza counts, Salmonella cases, and infection rates, while COVID-19 studies focus more on cases, infection rates, symptoms, and deaths. Among 22 countries, the USA (29%) is the top applier of control charts. The monitoring of USA COVID-19 deaths reveals 8 waves with varying severity  >  >  >  >  >  >  > . The associated with the JN.1 variant, highlights ongoing challenges. This study emphasizes the significance of control charts in outbreak monitoring for early disease diagnosis and intervention. Control charts help healthcare workers manage epidemics using data-driven methods, improving public health. COVID-19 mortality analysis emphasizes their importance, encouraging worldwide use.
摘要:
控制图帮助流行病学家和医疗保健专业人员实时监测疾病发病率和患病率,预防疫情和突发卫生事件。然而,这些技术的综合探索和应用仍然存在明显差距,特别是在监测和管理疾病暴发的背景下。本研究分析并分类了2000年至2023年全球控制图在20多个国家的疫情监测中的应用,专注于冠状病毒(COVID-19),并选择最佳控制图监测2020年2月至2023年12月的美国COVID-19死亡波。系统的文献综述分析了现有的35篇文章,按年份对数据进行分类,变量,国家,研究类型,和图表设计。选择的最佳图表用于监测美国的COVID-19死亡模式和波。在COVID-19大流行期间,流行病学监测中的控制图采用有所增加,2021年至2023年的年度模式显示上升(18%,36%,41%)。从2000年到2019年的重要变量包括流感计数,沙门氏菌病例,和感染率,虽然COVID-19研究更侧重于病例,感染率,症状,和死亡。在22个国家中,美国(29%)是控制图应用最多的国家。美国COVID-19死亡监测显示8波,严重程度不同>>>>>>>与JN.1变体相关的,突出了持续的挑战。本研究强调控制图在暴发监测中对疾病早期诊断和干预的意义。控制图帮助医护人员使用数据驱动的方法管理流行病,改善公众健康。COVID-19死亡率分析强调了它们的重要性,鼓励全球使用。
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