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Orientador(es)
Resumo(s)
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.
Descrição
Fundacao de Amparo a Pesquisa do Estado da Bahia-FAPESB (PNX 0006/2009); Conselho Nacional de Desenvolvimento Cientifico e Tecnologico-CNPq (410498/2006-8); Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior-CAPES and Fundacao para a Ciencia e a Tecnologia-FCT (AUX-PE-FCT 1171/2009); European Commission (EC-ICT-231807); INCT-Citecs (57386/2008-9); National Institutes of Science and Technology Programme (MCT-CNPq, Brazil); Fundacao para a Ciencia e Tecnologia (PEst-OE/MAT/UIO297/2014; EXPL/MAT-CAL/0794/2013); FAPESB (B0L0143/2008)
Palavras-chave
Default Mathematical model Reinfection Treatment; Tuberculosis SDG 3 - Good Health and Well-being
