Statistical description of factors determining detected tuberculosis incidence
Konstantin Konstantinovich Avilov · Russian Journal of Numerical Analysis and Mathematical Modelling · 2009
A model of the detection lag risk of various diseases is constructed in the paper. Using this model, analysis of actual data for detection of pulmonary tuberculosis was performed. Quantitative estimates of the contribution of various factors to the risk of late tuberculosis detection are obtained. The model provides a good description of actual data and is sufficiently robust.