两地区人口流动肺结核动力学模型研究
Dynamic Model of Tuberculosis in Population Migration between Two Regions
摘要:
为研究人口迁移与疫苗接种对肺结核传播的影响,建立人口密度不同的两地区之间流动的SEIR流行病动力学模型,并考虑对各地区实施疫苗接种措施,计算其有效再生数,通过数值模拟作有效再生数关于迁移率与疫苗接种率的敏感性分析。结果表明,高人口密度地区向低密度地区迁移可以降低有效再生数,缩小染病规模,低密度地区向高密度地区迁移则结果相反,但均不能通过迁移达到消除肺结核的目的,而适当的对高密度人口地区施加疫苗可以消除肺结核。
Abstract:
To study the effects of population migration and vaccination on the spread of tuberculosis, a dy-namic SEIR epidemic model of the two regions with different population densities is established. The effective reproduction number is calculated, and the vaccination strategy for each region is considered in model. We numerically simulate the sensitivity of the effective reproduction number with respect to migration rate and vaccination rate. The results show that migration from areas with high population density to areas with low population density can reduce the effective re-production number and disease scale. The migration from low-density areas to high-density areas has the opposite result, but they cannot achieve the purpose of eliminating tuberculosis through migration. Appropriate application of vaccines to people in the high-density area can eliminate tuberculosis.
参考文献
|
[1]
|
陈启军, 陈越, 杜生明. 论传染病的危害及我国的防治策略[J]. 中国基础科学, 2005, 7(6): 21-32.
|
|
[2]
|
张兰. 关于公共卫生传染病控制的探索[J]. 大家健康(学术版), 2014(20): 29-30.
|
|
[3]
|
张金慧. 肺结核传播模型的定性分析及数据模拟[D]: [博士学位论文]. 武汉: 华中师范大学, 2014.
|
|
[4]
|
Xu, C., Wei, X., Cui, J., et al. (2017) Mixing in Regional-Structure Model about the Influence of Floating Population and Optimal Control about TB in Guangdong Province of China. International Journal of Biomathematics, 10, 12. [Google Scholar] [CrossRef]
|
|
[5]
|
Zhou, Y., Khan, K., Feng, Z., et al. (2008) Projection of Tu-berculosis Incidence with Increasing Immigration Trends. Journal of Theoretical Biology, 254, 215-228. [Google Scholar] [CrossRef] [PubMed]
|
|
[6]
|
朱宏淼, 靳祯. 两个城市人口相互流动的流感模型研究[J]. 数学的实践与认识, 2012, 42(6): 103-110.
|
|
[7]
|
国家数据. http://data.stats.gov.cn/easyquery.htm?cn=C01
|
|
[8]
|
van den Driessche, P. and Watmough, J. (2002) Reproduction Numbers and Sub-Threshold Endemic Equilibria for Com-partmental Models of Disease Transmission. Mathematical Biosciences, 180, 29-48. [Google Scholar] [CrossRef]
|
|
[9]
|
Feng, Z, Hill, A.N., Curns, A.T., et al. (2016) Evaluating Targeted Interventions via Meta-Population Models with Multi-Level Mixing. Mathematical Biosciences, 287, 93-104. [Google Scholar] [CrossRef] [PubMed]
|