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Mathematical Model Mathematical Models for the Dynamics of Tuberculosis in Density-dependent Populations: The Case of Internally Displaced Peoples' Camps (IDPCs) in Uganda | Science Publications

机译:数学模型密度依赖人群中结核病动态的数学模型:乌干达境内流离失所者营地(IDPC)的案例|科学出版物

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> Mathematical models are formulated to establish the conditions (restrictions) on the size of the area occupied in the IDPCs for minimizing and thereafter eradicating tuberculosis. Both numerical and qualitative analyses of the model are done and the effect of variation in the area size and recruitment rate on the different epidemiological groups is investigated. The results of the analysis show that there exists a stable disease-free equilibrium point provided that the characteristic area is greater than the product of the probability of survival from the latent stage to the infectious stage and the number of latent infections produced by a typical infectious individual during his/her mean infectious period. The study recommends that the characteristic area per individual should be at least 0.25 square kilometres in order to minimize the tuberculosis incidence.
机译: >建立了数学模型,以建立IDPC占用面积的大小(限制)条件,以最大程度地减少和根除结核病。对模型进行了数值和定性分析,并研究了面积大小和招募率的变化对不同流行病学组的影响。分析结果表明,只要特征区域大于从潜伏期到传染期的生存概率与典型传染病产生的潜伏感染数的乘积,便存在一个稳定的无病平衡点。在他/她的平均感染期。研究建议,每个人的特征区域至少应为0.25平方公里,以最大程度地减少结核病的发病率。

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