Paving initial forecasting COVID-19 spread capabilities by nonexperts: A case study.

IF 2.9 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES DIGITAL HEALTH Pub Date : 2024-08-18 eCollection Date: 2024-01-01 DOI:10.1177/20552076241272565
Idan Roth, Arthur Yosef
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引用次数: 0

Abstract

Objective: The COVID-19 outbreak compelled countries to take swift actions across various domains amidst substantial uncertainties. In Israel, significant COVID-19-related efforts were assigned to the Israeli Home Front Command (HFC). HFC faced the challenge of anticipating adequate resources to efficiently and timely manage its numerous assignments despite the absence of a COVID-19 spread forecast. This paper describes the initiative of a group of motivated, though nonexpert, people to provide the needed COVID-19 rate of spread of the epidemic forecasts.

Methods: To address this challenge, the Planning Chamber, reporting to the HFC Medical Commander, undertook the task of mapping HFC healthcare challenges and resource requirements. The nonexpert team continuously collected public COVID-19-related data published by the Israeli Ministry of Health (MoH) of verified cases, light cases, mild cases, serious condition cases, life-support cases, and deaths, and despite lacking expertise in statistics and healthcare and having no sophisticated statistical packages, generated forecasts using Microsoft® Excel.

Results: The analysis methods and applications successfully demonstrated the desired outcome of the lockdown by showing a transition from exponential to polynomial growth in the spread of the virus. These forecasting activities enabled decision-makers to manage resources effectively, supporting the HFC's operations during the pandemic.

Conclusions: Nonexpert forecasting may become a necessity and be beneficial, and similar analysis efforts can be easily replicated in future events. However, they are inherently short-lived and should persist only until knowledge centers can bridge the expertise gap. It is crucial to identify major events, such as lockdowns, during forecasting due to their potential impact on spread rates. Despite the expertise gap, the Planning Chamber's approach provided valuable resource management insights for HFC's COVID-19 response.

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非专业人员初步预测 COVID-19 传播能力:案例研究。
目的:COVID-19 的爆发迫使各国在巨大的不确定性中在各个领域迅速采取行动。在以色列,与 COVID-19 相关的大量工作分配给了以色列后方指挥部 (HFC)。尽管没有 COVID-19 的传播预测,但 HFC 仍面临着如何预测充足资源以高效、及时地管理其众多任务的挑战。本文介绍了一群积极主动但并不专业的人员为提供所需的 COVID-19 流行病传播率预测而采取的举措:为了应对这一挑战,向 HFC 医疗指挥官报告的规划室承担了绘制 HFC 医疗保健挑战和资源需求图的任务。非专业团队不断收集以色列卫生部(MoH)公布的 COVID-19 相关公共数据,包括核实病例、轻型病例、轻度病例、重症病例、维持生命病例和死亡病例,尽管缺乏统计和医疗保健方面的专业知识,也没有复杂的统计软件包,但仍使用 Microsoft® Excel 生成了预测结果:结果:分析方法和应用程序通过显示病毒传播从指数增长到多项式增长的转变,成功地展示了封锁的预期结果。这些预测活动使决策者能够有效地管理资源,支持 HFC 在大流行期间的运作:结论:非专家预测可能是必要的,也是有益的,类似的分析工作可以很容易地在未来的事件中复制。然而,非专家预报本质上是短暂的,只有在知识中心能够弥补专业知识差距之前,非专家预报才会持续下去。由于封锁等重大事件对传播率的潜在影响,在预测过程中识别这些事件至关重要。尽管存在专业知识差距,但规划室的方法为 HFC 的 COVID-19 应对措施提供了宝贵的资源管理见解。
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来源期刊
DIGITAL HEALTH
DIGITAL HEALTH Multiple-
CiteScore
2.90
自引率
7.70%
发文量
302
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