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TUBERCULOSIS TRANSMISSION MODEL WITH CASE DETECTION AND TREATMENT
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  • TUBERCULOSIS TRANSMISSION MODEL WITH CASE DETECTION AND TREATMENT
  • TUBERCULOSIS TRANSMISSION MODEL WITH CASE DETECTION AND TREATMENT
저자명
Bhunu. C.P.,Mushayabasa. S.,Magombedze. G.,Roeger. L.I.
간행물명
Journal of applied mathematics & informatics
권/호정보
2011년|29권 3호|pp.529-546 (18 pages)
발행정보
한국전산응용수학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

A deterministic tuberculosis model for theoretically assessing the potential impact of the combined effects of case detection in the presence of treatment is formulated. The qualitative features of its equilibria are analyzed and it is found that the disease-free equilibrium may not be globally asymptotically stable when the reproduction number is less than unity. This disease threshold number is further used to assess the impact of active TB case finding alone and in conjunction with treatment. A critical threshold parameter ${Theta}$ say for which case detection will have a positive impact is derived. Using the Centre Manifold theory, the model may exhibit the phenomenon of backward bifurcation (coexistence of a locally stable endemic equilibrium with a stable disease-free equilibrium) when the reproduction number is less than unity. It is shown that the possibility of backward bifurcation occurring decreases with increase case detection. Graphical representations suggest that increase in case finding accompanied by treatment of detected TB cases, result in a marked decrease of TB cases (both latent and active TB).