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

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...

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Autor principal: Fabrizio, M.C
Otros Autores: Schweigmann, N.J, Bartoloni, N.J
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Lenguaje:Inglés
Publicado: Cambridge University Press 2016
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100 1 |a Fabrizio, M.C. 
245 1 0 |a Analysis of the transmission of Trypanosoma cruzi infection through hosts and vectors 
260 |b Cambridge University Press  |c 2016 
270 1 0 |m Fabrizio, M.C.; Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Av San Martín 4453, Argentina; email: fabrizio@agro.uba.ar 
506 |2 openaire  |e Política editorial 
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504 |a Toloza, A., Germano, M., Cueto, G., Vassena, C., Zerba, E., Picollo, M., Differential patterns of insecticide resistance in eggs and first instars of Triatoma infestans (Hemiptera: Reduviidae) from Argentina and Bolivia (2008) Journal of Medical Entomology, 45, pp. 421-426 
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520 3 |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. © Cambridge University Press 2016.  |l eng 
593 |a Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Av San Martín 4453, Buenos Aires, C1417DSE, Argentina 
593 |a Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, IEGEBA (CONICET), Buenos Aires, C1428EHA, Argentina 
690 1 0 |a CHAGAS DISEASE 
690 1 0 |a MATHEMATICAL MODEL 
690 1 0 |a NEXT-GENERATION MATRIX 
690 1 0 |a TRYPANOSOMA CRUZI 
690 1 0 |a ARTICLE 
690 1 0 |a CHAGAS DISEASE 
690 1 0 |a DISEASE TRANSMISSION 
690 1 0 |a HOST 
690 1 0 |a HUMAN 
690 1 0 |a INFECTION 
690 1 0 |a NONHUMAN 
690 1 0 |a PRIORITY JOURNAL 
690 1 0 |a TRYPANOSOMA CRUZI 
690 1 0 |a ANIMAL 
690 1 0 |a BIOLOGICAL MODEL 
690 1 0 |a CHAGAS DISEASE 
690 1 0 |a DISEASE CARRIER 
690 1 0 |a DOG 
690 1 0 |a DOG DISEASES 
690 1 0 |a ENDEMIC DISEASE 
690 1 0 |a INSECT VECTOR 
690 1 0 |a PARASITOLOGY 
690 1 0 |a PHYSIOLOGY 
690 1 0 |a RURAL POPULATION 
690 1 0 |a THEORETICAL MODEL 
690 1 0 |a TRANSMISSION 
690 1 0 |a TRIATOMINAE 
690 1 0 |a ANIMALS 
690 1 0 |a CHAGAS DISEASE 
690 1 0 |a DISEASE RESERVOIRS 
690 1 0 |a DOG DISEASES 
690 1 0 |a DOGS 
690 1 0 |a ENDEMIC DISEASES 
690 1 0 |a HUMANS 
690 1 0 |a INSECT VECTORS 
690 1 0 |a MODELS, BIOLOGICAL 
690 1 0 |a MODELS, THEORETICAL 
690 1 0 |a RURAL POPULATION 
690 1 0 |a TRIATOMINAE 
690 1 0 |a TRYPANOSOMA CRUZI 
651 4 |a ARGENTINA 
651 4 |a ARGENTINA 
700 1 |a Schweigmann, N.J. 
700 1 |a Bartoloni, N.J. 
773 0 |d Cambridge University Press, 2016  |g v. 143  |h pp. 1168-1178  |k n. 9  |p Parasitology  |x 00311820  |t Parasitology 
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