Department of Mathematics, University of Benin, P.M.B. 1154, Benin City, Edo State, Nigeria.
J Theor Biol. 2011 Jan 21;269(1):31-45. doi: 10.1016/j.jtbi.2010.09.044. Epub 2010 Oct 15.
This paper presents qualitative and quantitative study of a TB mathematical model to test results from a survey carried out in Benin City, Nigeria. The purpose of the survey was to determine factors that could enhance the case detection rate of tuberculosis. Results from the survey identified four key factors that must be combined for an effective control of TB and increase the case detection rate: effective awareness programme, active cough identification, associated cost factor for treatment of identified cases and effective treatment. The overall effect of these factors on the basic reproduction number under treatment, R(T), of the TB model was considered. In all, a serious concentration on tuberculosis awareness programmes and active cough identification as a marker for someone having TB was shown to significantly reduce the value of the reproduction number, hereby reducing the severity of the disease in the presence of treatment.
本文对结核病数学模型进行了定性和定量研究，以检验在尼日利亚贝宁城进行的一项调查的结果。该调查的目的是确定可以提高结核病病例检出率的因素。调查结果确定了四个关键因素，必须将它们结合起来才能有效地控制结核病并提高病例检出率：有效的宣传计划、积极识别咳嗽、治疗已确诊病例的相关费用因素以及有效的治疗。考虑了这些因素对结核病模型治疗下基本繁殖数 R(T)的综合影响。总之，结核病宣传计划和积极识别咳嗽作为某人患有结核病的标志的认真集中表明，这可以显著降低繁殖数的值，从而在治疗的情况下降低疾病的严重程度。
