School of Mathematics and Statistics, Baise University, 21, Zhongshan No.2 Road, Guangxi Province, China.
Environ Res. 2021 Jul;198:111278. doi: 10.1016/j.envres.2021.111278. Epub 2021 May 12.
Collective intelligence of viruses is witnessed in many research articles. Most of the researches focus on the qualitative properties or observations. In this research, we model the behaviours and collective intelligence of SARS-CoV-2 by minimal spanning trees (MSTs), which specify the underlying mechanisms of resource allocation in the viral colony. The vertices of the trees are 50 states, DC and NYC in the USA. The weights of the edges are assigned by the reciprocal of the sum of cases or deaths of COVID-19. The types of trees are decided by the chosen 18 factors. We sample 304 time-series data and compute their MST-based auto-correlations for stability analysis. Then we perform correlated analysis and comparative analysis on these stable factors. Our results show MST approach fits the collective intelligence modelling very well; the total cases and total deaths over areas are highly correlated in terms of MSTs; and these stable factors have little to do with the geographical distance. The results also indicate the colonisation of SARS-CoV-2 is pretty mature and organised. Based on the results, for environmental or health policies, we should also turn our attention to the transmission routes that are independent of or far away from human population or densities. The viruses' colonies might already exist in the wild in a large scale, not only in the populated or polluted cities. We shall build or conduct a monitoring system of their colonisation and survival techniques, in order to terminate, contain or live with their communities.
在许多研究文章中都见证了病毒的集体智慧。大多数研究都集中在定性性质或观察上。在这项研究中，我们通过最小生成树 (MST) 对 SARS-CoV-2 的行为和集体智慧进行建模，MST 确定了病毒群体中资源分配的潜在机制。树的顶点是美国的 50 个州、华盛顿特区和纽约市。边的权重由 COVID-19 的病例或死亡总数的倒数分配。树的类型由所选的 18 个因素决定。我们采样了 304 个时间序列数据，并计算了它们基于 MST 的自相关以进行稳定性分析。然后，我们对这些稳定因素进行了相关分析和比较分析。我们的结果表明 MST 方法非常适合集体智慧建模；从 MST 的角度来看，区域内的总病例和总死亡人数高度相关；这些稳定因素与地理距离几乎没有关系。结果还表明，SARS-CoV-2 的殖民化已经相当成熟和有组织。基于这些结果，对于环境或卫生政策，我们还应该关注与人口或密度无关或远离人口的传播途径。病毒的群体可能已经在野外大规模存在，而不仅仅是在人口稠密或污染严重的城市。我们应该建立或进行他们的殖民化和生存技术的监测系统，以便终止、遏制或与他们的社区共存。
