Figure 1. NBC coevolution model.

Figure 2. Relationship between individualism and COVID-19 mortality per million deaths (n = 73). (*** p < 0.001)

Figure 3. Similarity matrix between individualism and COVID-19 million deaths and mortality. (** p < 0.01; *** p < 0.001)

Figure 4. Schematic diagram of fitting epidemic progress curve model.

Figure 5. Correlation between independent self-construction, interdependent self-construction and epidemic control speed (n = 29).

Figure 6. Similarity matrix between self-construction and COVID-19 control speed (n = 29). From left to right/from top to bottom, each matrix is 1 = Hebei, 2 = Shandong, 3 = Hunan, 4 = Sichuan, 5 = Liaoning, 6 = Shaanxi, 7 = Jiangxi, 8 = Henan, 9 = Guangdong, 10 = Shanxi, 11 = Hubei, 12 = Guangxi, 13 = Hainan, 14 = Jiangsu, 15 = Guizhou, 16 = Chongqing, 17 = Anhui, 18 = Shanghai, 19 = Tianjin, 20 = Fujian, 21 = Beijing, 22 = Heilongjiang, 23 = Inner Mongolia, 24 = Yunnan, 25 = Jilin, 26 = Xinjiang, 7 = Gansu, 28 = Ningxia, 29 = Zhejiang

Figure 7. SEIR epidemic model.

Figure 8. Simulation diagram of epidemic spread and evolution process. The first picture shows the initial state of epidemic spread. Among the existing 10,000 subjects, there are 10 red infected subjects (Class I) and 8 yellow exposed subjects (Class E). The second picture shows that after the epidemic spreads for some time, we can see a large number of blue susceptible subjects (Class S) and red infected subjects (Class I), as well as some yellow exposed subjects (Class E), and gray subjects that have recovered immunity (Class R). The third picture shows the end of the epidemic. At this time, there are only blue susceptible individuals (Class S) and gray subjects (Class R) immunized after recovery in the whole model. The dead subjects have been removed from the model. At this time, there are less than 10,000 subjects in the model.

Figure 9. Differences between high and low individualism in the number of confirmed cases and deaths under different levels of government norm.

Figure 10. Differences in control speed of high and low individualism in overall, early and late stages under different levels of government norm.

Figure 11. Distribution of independent/interdependent self-construction/illegal mobility tendency in different countries. A) The values of independent and interdependent self-construction in different countries; B) The world map of illegal mobility scores in different countries; C) Distribution chart of illegal mobility scores in different countries (error lines represent standard errors); D, E) The world map of scores of independent and interdependent types in different countries.

Figure 12. Independent self-construction affects the intermediary roadmap of illegal mobile tendency. Note. * p < 0.05, ** p < 0.01, *** p < 0.001

Figure 13. Co-evolution diagram of nature, culture, behavior, brain and gene.

Figure S1. Differences in control speed of high and low individualism in overall, early, and late stages under different levels of government norm.

 Interdependent Self-construction: Intermediary Roadmap of Impacting Illegal Mobile Tendency (Note. * means p < 0.05, ** means p < 0.01, *** means p < 0.001)

Figure S2. Examples of inconsistent results between linear regression and characterization similarity analysis.\

Figure S3. Curve of cumulative number of confirmed cases in each region with time.

Figure S4. Correlation between interdependent self-construction and epidemic control speed (n = 29).

Figure S5. Differences between high and low individualism in the number of confirmed cases and deaths under different levels of government norm.

Figure S6. Difference diagram of the control speed of high and low individualism in total, early and late stages under different government norm levels.

Figure S7a. Influence of coefficient b attenuation on the epidemic growth rate under the condition of low individualism culture (one of the simulations).

Figure S7b. Influence of coefficient b attenuation on the epidemic growth rate under the condition of high individualism culture (one of the simulations).