Modeling of leishmaniasis infection dynamics: novel application to the design of effective therapies |
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| Authors: | Bettina M L?nger Cristina Pou-Barreto Carlos González-Alcón Basilio Valladares Bettina Wimmer Néstor V Torres |
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| Affiliation: | (1) Grupo de Tecnolog?a Bioqu?mica. Departamento de Bioqu?mica y Biolog?a Molecular, Universidad de La Laguna, 38206 San Crist?bal de La Laguna. Tenerife, Spain;(2) Instituto Universitario de Enfermedades Tropicales y Salud P?blica de Canarias, Universidad de La Laguna, 38206 San Crist?bal de La Laguna. Tenerife, Spain;(3) Grupo de Tecnolog?a Bioqu?mica. Departamento de Estad?stica, I.O. y Ciencias de la Computaci?n. Universidad de La Laguna, 38206 San Crist?bal de La Laguna. Tenerife, Spain |
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| Abstract: | Background The WHO considers leishmaniasis as one of the six most important tropical diseases worldwide. It is caused by parasites of the genus Leishmania that are passed on to humans and animals by the phlebotomine sandfly. Despite all of the research, there is still a lack of understanding on the metabolism of the parasite and the progression of the disease. In this study, a mathematical model of disease progression was developed based on experimental data of clinical symptoms, immunological responses, and parasite load for Leishmania amazonensis in BALB/c mice. |
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