Quinn Gerry A, Connolly Michael, Fenton Norman E, Hatfill Steven J, Hynds Paul, ÓhAiseadha Coilín, Sikora Karol, Soon Willie, Connolly Ronan
Centre for Molecular Biosciences, Ulster University, Coleraine BT52 1SA, UK.
Independent Researcher, D08 Dublin, Ireland.
J Clin Med. 2024 Jan 6;13(2):334. doi: 10.3390/jcm13020334.
Most government efforts to control the COVID-19 pandemic revolved around non-pharmaceutical interventions (NPIs) and vaccination. However, many respiratory diseases show distinctive seasonal trends. In this manuscript, we examined the contribution of these three factors to the progression of the COVID-19 pandemic.
Pearson correlation coefficients and time-lagged analysis were used to examine the relationship between NPIs, vaccinations and seasonality (using the average incidence of endemic human beta-coronaviruses in Sweden over a 10-year period as a proxy) and the progression of the COVID-19 pandemic as tracked by deaths; cases; hospitalisations; intensive care unit occupancy and testing positivity rates in six Northern European countries (population 99.12 million) using a population-based, observational, ecological study method.
The waves of the pandemic correlated well with the seasonality of human beta-coronaviruses (HCoV-OC43 and HCoV-HKU1). In contrast, we could not find clear or consistent evidence that the stringency of NPIs or vaccination reduced the progression of the pandemic. However, these results are correlations and not causations.
We hypothesise that the apparent influence of NPIs and vaccines might instead be an effect of coronavirus seasonality. We suggest that policymakers consider these results when assessing policy options for future pandemics.
The study is limited to six temperate Northern European countries with spatial and temporal variations in metrics used to track the progression of the COVID-19 pandemic. Caution should be exercised when extrapolating these findings.
大多数政府控制新冠疫情的措施主要围绕非药物干预(NPIs)和疫苗接种。然而,许多呼吸道疾病呈现出明显的季节性趋势。在本论文中,我们研究了这三个因素对新冠疫情发展的影响。
采用Pearson相关系数和时间滞后分析,研究非药物干预、疫苗接种与季节性(以瑞典10年内地方性人类β冠状病毒的平均发病率作为替代指标)之间的关系,以及通过六个北欧国家(人口9912万)的死亡人数、病例数、住院人数、重症监护病房占用率和检测阳性率追踪的新冠疫情发展情况,采用基于人群的观察性生态研究方法。
疫情的波峰与人类β冠状病毒(HCoV-OC43和HCoV-HKU1)的季节性密切相关。相比之下,我们没有找到明确或一致的证据表明非药物干预的严格程度或疫苗接种减缓了疫情的发展。然而,这些结果只是相关性,而非因果关系。
我们推测,非药物干预和疫苗的明显影响可能实际上是冠状病毒季节性的作用。我们建议政策制定者在评估未来大流行的政策选择时考虑这些结果。
本研究仅限于六个北欧温带国家,用于追踪新冠疫情发展的指标存在空间和时间上的差异。外推这些研究结果时应谨慎。