Nemira Alina, Adeniyi Ayotomiwa Ezekiel, Gasich Elena L, Bulda Kirill Y, Valentovich Leonid N, Krasko Anatoly G, Glebova Olga, Kirpich Alexander, Skums Pavel
Department of Computer Science, Georgia State University, Atlanta, GA USA.
Republican Research and Practical Center for Epidemiology and Microbiology, Minsk, Belarus.
Commun Med (Lond). 2021 Sep 16;1:31. doi: 10.1038/s43856-021-00031-1. eCollection 2021.
Non-pharmaceutical interventions (NPIs) have been implemented worldwide to curb COVID-19 spread. Belarus is a rare case of a country with a relatively modern healthcare system, where highly limited NPIs have been enacted. Thus, investigation of Belarusian COVID-19 dynamics is essential for the local and global assessment of the impact of NPI strategies.
We integrate genomic epidemiology and surveillance methods to investigate the spread of SARS-CoV-2 in Belarus in 2020. We utilize phylodynamics, phylogeography, and probabilistic bias inference to study the virus import and export routes, the dynamics of the effective reproduction number, and the incidence of SARS-CoV-2 infection.
Here we show that the estimated cumulative number of infections by June 2020 exceeds the confirmed case number by a factor of ~4 (95% confidence interval (2; 9)). Intra-country SARS-CoV-2 genomic diversity originates from at least 18 introductions from different regions, with a high proportion of regional transmissions. Phylodynamic analysis indicates a moderate reduction of the effective reproductive number after the introduction of limited NPIs, but its magnitude is lower than for developed countries with large-scale NPIs. On the other hand, the effective reproduction number estimate is comparable with that for the neighboring Ukraine, where NPIs were broader.
The example of Belarus demonstrates how countries with relatively low outward population mobility continue to be integral parts of the global epidemiological environment. Comparison of the effective reproduction number dynamics for Belarus and other countries reveals the effect of different NPI strategies but also emphasizes the role of regional Eastern European sociodemographic factors in the virus spread.
全球已实施非药物干预措施(NPIs)以遏制新冠病毒传播。白俄罗斯是一个拥有相对现代医疗体系的国家,但该国实施的NPIs极为有限,是个罕见的例子。因此,对白俄罗斯新冠疫情动态的调查对于评估NPIs策略对当地及全球的影响至关重要。
我们整合基因组流行病学和监测方法,以调查2020年新冠病毒在白俄罗斯的传播情况。我们运用系统发育动力学、系统发育地理学和概率偏差推断法,研究病毒的进出口路线、有效繁殖数的动态变化以及新冠病毒感染的发病率。
我们发现,截至2020年6月,估计的累计感染数比确诊病例数高出约4倍(95%置信区间为(2;9))。国内新冠病毒基因组多样性至少源于18次来自不同地区的引入,且区域传播比例很高。系统发育动力学分析表明,在实施有限的NPIs后,有效繁殖数有所下降,但降幅低于实施大规模NPIs的发达国家。另一方面,有效繁殖数估计值与邻国乌克兰相当,而乌克兰实施的NPIs更为广泛。
白俄罗斯的例子表明,对外人口流动性相对较低的国家如何继续成为全球流行病学环境的一部分。对白俄罗斯和其他国家有效繁殖数动态的比较揭示了不同NPIs策略的效果,但也强调了东欧地区社会人口因素在病毒传播中的作用。