Analysis of the transmission of Trypanosoma cruzi infection through hosts and vectors

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Calculating epidemiological measures of infection by Trypanosoma cruzi , the causative agent of Chagas disease, is complex, because it involves several species, different stages of infection in humans and multiple transmission routes. Using the next-generation matrix method, we analysed a model whic...

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Detalles Bibliográficos
Autor principal: Fabrizio, María del Carmen
Otros Autores: Schweigmann, Nicolas J., Bartoloni, Norberto José
Formato: Artículo
Lenguaje:Inglés
Materias:
CHAGAS DISEASE
TRYPANOSOMA CRUZI
MATHEMATICAL MODEL
NEXT-GENERATION MATRIX
Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2016fabrizio.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Central (FAUBA) de Universidad de Buenos Aires
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100 1 |9 29336  |a Fabrizio, María del Carmen  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina. 
245 0 0 |a Analysis of the transmission of Trypanosoma cruzi infection through hosts and vectors 
520 |a Calculating epidemiological measures of infection by Trypanosoma cruzi , the causative agent of Chagas disease, is complex, because it involves several species, different stages of infection in humans and multiple transmission routes. Using the next-generation matrix method, we analysed a model which considers the three stages of human infection, triatomines and dogs (the main domestic reservoirs of T. cruzi when triatomines are present) and the main transmission routes. We derived R 0 and type-reproduction numbers T. We deduced formulas for the number of new infections generated through each transmission route by each infected individual. We applied our findings in Argentine Gran Chaco. The expressions achieved allowed quantifying the high infectivity of dogs and emphasizing the epidemiological importance of the long and asymptomatic chronic indeterminate stage in humans in the spread of the infection. According to the model, it is expected that one infected human infects 21 triatomines, that 100 infected triatomines are necessary to infect one human and 34 to infect a dog, and that each dog infects on average one triatomine per day. Our results may allow quantifying the effect of control measures on infected humans, triatomines and dogs (or other highly infected vertebrate) or on a specific route of transmission, in other scenarios. 
653 |a CHAGAS DISEASE 
653 |a TRYPANOSOMA CRUZI 
653 |a MATHEMATICAL MODEL 
653 |a NEXT-GENERATION MATRIX 
700 1 |9 67741  |a Schweigmann, Nicolas J.  |u Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución. Buenos Aires, Argentina.   |u Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires (IEGEBA). Buenos Aires, Argentina.  |u CONICET - Universidad de Buenos Aires. Instituto de Ecología, Genética y Evolución de Buenos Aires (IEGEBA). Buenos Aires, Argentina. 
700 1 |9 6346  |a Bartoloni, Norberto José  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina. 
773 |t Parasitology  |g Vol.143, no.9 (2016), p.1168-1178, tbls. 
856 |f 2016fabrizio  |i En reservorio  |q application/pdf  |u http://ri.agro.uba.ar/files/intranet/articulo/2016fabrizio.pdf  |x ARTI201808 
856 |u http://www.journalofparasitology.org/  |z LINK AL EDITOR 
942 |c ARTICULO 
942 |c ENLINEA 
976 |a AAG 

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