Abusam Abdallah
Water Research Centre, Wastewater Treatment and Reclamation Technology Program, Kuwait Institute for Scientific Research, Safat, Kuwait.
J Taibah Univ Med Sci. 2022 Jun;17(3):461-466. doi: 10.1016/j.jtumed.2022.03.002. Epub 2022 Mar 18.
The cumulative numbers of confirmed cases, despite providing few details regarding the dynamics, are widely used to model the COVID-19 pandemic. The purpose of this study was to determine the dynamics of COVID-19 in the Gulf Cooperation Council (GCC) countries by using the number of daily new cases rather than the cumulative number of new cases.
Data on daily new cases of COVID-19 in the GCC countries from February 2020 to September 2021 were obtained from the Worldometer website. In MATLAB, the Savitzky-Golay filter was used to obtain smoothed curves of the daily profiles of the pandemic, and power spectrum analysis was performed to identify the dominant frequencies.
The smoothed curves indicated that the GCC countries have experienced two major waves of the pandemic with different peaks and durations. During the first wave, the exponential growth rates ranged from 9 cases/day in Bahrain to 53 cases/day in KSA, whereas the decline rates varied from 6 cases/day in Kuwait to 72 cases/day in KSA.
Despite the similarities in socio-economic and environmental conditions among GCC countries, the results indicated that the dynamics of COVID-19 are unique for each GCC country.
确诊病例的累计数量虽很少提供有关疫情动态的细节,但被广泛用于对新冠疫情进行建模。本研究的目的是通过使用每日新增病例数而非新增病例累计数来确定海湾合作委员会(GCC)国家的新冠疫情动态。
2020年2月至2021年9月海湾合作委员会国家新冠疫情每日新增病例的数据取自世界ometers网站。在MATLAB中,使用萨维茨基-戈拉伊滤波器获得疫情每日情况的平滑曲线,并进行功率谱分析以确定主导频率。
平滑曲线表明,海湾合作委员会国家经历了两波不同峰值和持续时间的主要疫情。在第一波疫情中,指数增长率从巴林的每天9例到沙特阿拉伯的每天53例不等,而下降率从科威特的每天6例到沙特阿拉伯的每天72例不等。
尽管海湾合作委员会国家在社会经济和环境条件方面存在相似之处,但结果表明,每个海湾合作委员会国家的新冠疫情动态都是独特的。