Hacettepe University, The Department of Health Management, Ankara, Türkiye.
Hacettepe University, The Department of Health Management, Ankara, Türkiye.
Public Health. 2023 Jul;220:172-178. doi: 10.1016/j.puhe.2023.05.013. Epub 2023 May 16.
This study aimed to simplify the previously developed epidemiological wavelength model and to expand the scope of the model with additional variables to estimate the magnitude of the COVID-19 pandemic. The applicability of the extended wavelength model was tested in Organisation for Economic Cooperation and Development (OECD) member countries.
The epidemiological wavelengths of OECD member countries for the years 2020, 2021 and 2022 were estimated comparatively, considering the cumulative number of COVID-19 cases.
The size of the COVID-19 pandemic was estimated using the wavelength model. The scope of the wavelength model was expanded to include additional variables. The extended estimation model was improved by adding population density and human development index variables, in addition to the number of COVID-19 cases and number of days since the first case reported from the previous estimation model.
According to the findings obtained from the wavelength model, the country with the highest epidemiological wavelength for the years 2020, 2021 and 2022 was the United States (W = 29.96, W = 28.63 and W = 28.86, respectively), and the country with the lowest wavelength was Australia (W = 10.50, W = 13.14 and W = 18.44, respectively). The average wavelength score of OECD member countries was highest in 2022 (W = 24.32) and lowest in 2020 (W = 22.84). The differences in the periodic wavelengths of OECD countries were analysed with the dependent t-test for paired samples in two periods, 2020-2021 and 2021-2022. There was a statistically significant difference between wavelengths in the 2020-2021 and 2021-2022 groups (t(36) = -3.670; P < 0.001).
Decision-makers can use the extended wavelength model to easily follow the progress of the epidemic and to make quicker and more reliable decisions.
本研究旨在简化先前开发的流行病学波长模型,并通过添加其他变量来扩展模型范围,以估计 COVID-19 大流行的规模。该扩展波长模型的适用性在经济合作与发展组织(OECD)成员国中进行了测试。
比较考虑 COVID-19 病例累计数,估算 OECD 成员国 2020 年、2021 年和 2022 年的流行病学波长。
使用波长模型估计 COVID-19 大流行的规模。扩展波长模型的范围,纳入其他变量。除了从之前的估计模型中添加 COVID-19 病例数和首例病例报告以来的天数外,还添加人口密度和人类发展指数变量,改进扩展估计模型。
根据波长模型的结果,2020 年、2021 年和 2022 年流行病学波长最高的国家是美国(W=29.96、W=28.63 和 W=28.86),波长最低的国家是澳大利亚(W=10.50、W=13.14 和 W=18.44)。OECD 成员国的平均波长得分在 2022 年最高(W=24.32),在 2020 年最低(W=22.84)。使用配对样本的两独立样本 t 检验分析 OECD 国家周期性波长的差异。2020-2021 年和 2021-2022 年两个时期的波长有统计学显著差异(t(36)=-3.670;P<0.001)。
决策者可以使用扩展的波长模型来轻松跟踪疫情的进展,并做出更快、更可靠的决策。