modelos epidemiométricos em tuberculose: definição de "estados" e risco de infecção epidemiometric models in tuberculosis: definition of "states" and risk of infection
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2006
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Abstract
São definidos "estados" ou delimitados "compartimentos" na história natural da tuberculose. Baseado nas alterações macroscópicas do sistema de compartimentos (copiando raciocínio da termodinâmica) é feita a tentativa de quantificar a dinâmica das mudanças dos "estados": "virgem de infecção", "infectados" e "doentes". Na evidenciação das leis que regem a variação do conteúdo dos compartimentos, é proposto um novo caminho para o cálculo do risco de infecção tuberculosa. São apresentados os esquemas do interrelacionamento entre os "estados", as equações que regem a dinâmica entre os mesmos e a fórmula que permite o cálculo do risco de infecção.
Through a rationale used in thermodynamics some "states" or "compartments" in the natural history of Tuberculoses are defined. Based on macroscopic changes observed in the total system an attempt is made to quantify the dynamics of these changes in the following "states": "virgin of infection", "infected" and "sick". A new way to calculate the risk of becoming infected by Tuberculosis, following the laws which govern the variation of the contents in a system of compartments, is presented. A sketch showing the relationships among the considered "states", the equations of the dynamics of them and a formula to calculate the risk of infection is also presented.
Through a rationale used in thermodynamics some "states" or "compartments" in the natural history of Tuberculoses are defined. Based on macroscopic changes observed in the total system an attempt is made to quantify the dynamics of these changes in the following "states": "virgin of infection", "infected" and "sick". A new way to calculate the risk of becoming infected by Tuberculosis, following the laws which govern the variation of the contents in a system of compartments, is presented. A sketch showing the relationships among the considered "states", the equations of the dynamics of them and a formula to calculate the risk of infection is also presented.
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ruffino-netto2006revistamodelos
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| Authors | ;Antonio Ruffino-Netto |
| Journal | proceedings - 2016 3rd international conference on information technology, computer, and electrical engineering, icitacee 2016 |
| Year | 2006 |
| DOI |
10.1590/S0034-89102006000200004
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