COVID-19 pandemic waves: Identification and interpretation of global data

被引:8
作者
Swain, Ranjula Bali [1 ,2 ]
Lin, Xiang [1 ]
Wallentin, Fan Yang [3 ]
机构
[1] Sodertorn Univ, Dept Econ, S-14189 Huddinge, Stockholm, Sweden
[2] Stockholm Sch Econ, Ctr Sustainabil Res SIR, Box 6501, SE-11383 Stockholm, Sweden
[3] Uppsala Univ, Dept Stat, Uppsala, Sweden
关键词
STRUCTURAL-CHANGE; TIME-SERIES; DYNAMICS; TESTS;
D O I
10.1016/j.heliyon.2024.e25090
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The mention of the COVID-19 waves is as prevalent as the pandemic itself. Identifying the beginning and end of the wave is critical to evaluating the impact of various COVID-19 variants and the different pharmaceutical and non -pharmaceutical (including economic, health and social, etc.) interventions. We demonstrate a scientifically robust method to identify COVID-19 waves and the breaking points at which they begin and end from January 2020 to June 2021. Employing the Break Least Square method, we determine the significance of COVID-19 waves for global-, regional-, and country -level data. The results show that the method works efficiently in detecting different breaking points. Identifying these breaking points is critical for evaluating the impact of the economic, health, social and other welfare interventions implemented during the pandemic crisis. Employing our method with high frequency data effectively determines the start and end points of the COVID-19 wave(s). Identifying waves at the country level is more relevant than at the global or regional levels. Our research results evidenced that the COVID-19 wave takes about 48 days on average to subside once it begins, irrespective of the circumstances.
引用
收藏
页数:16
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