Tuberculosis(TB) is a leading cause of human mortality due to infectious disease.Treatmentdefault is a relevant factor which reduces therapeutic success and increases the risk of resistant TB. In this work we analyze the relation betweentreatmentdefault andtreatmentlengthalong with its consequence on the disease spreading. We use a stylized model structure to explore, systematically, the effects of varyingtreatmentduration and compliance. We find that shorteningtreatmentalone may not reduce TB prevalence, especially in regions wheretransmissionintensity is high, indicating the necessity of complementing this action with increased compliance. A family of default functions relating the proportion of defaulters to thetreatmentlengthis considered and adjusted to a particular dataset. We find that the epidemiological benefits of shortertreatmentregimens are tightly associated with increases intreatmentcompliance and depend on the epidemiological background.
- Mathematical model