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Understanding transmissibility patterns of Chagas disease through complex vector–host networks

Published online by Cambridge University Press:  12 January 2017

LAURA RENGIFO-CORREA ,
CHRISTOPHER R. STEPHENS ,
JUAN J. MORRONE ,
JUAN LUIS TÉLLEZ-RENDÓN  and
CONSTANTINO GONZÁLEZ-SALAZAR Open the ORCID record for CONSTANTINO GONZÁLEZ-SALAZAR [Opens in a new window]
LAURA RENGIFO-CORREA
Affiliation:
Museo de Zoología ‘Alfonso L. Herrera’, Departamento de Biología Evolutiva, Facultad de Ciencias, Universidad Nacional Autónoma de México, 04510 Mexico City, Mexico
CHRISTOPHER R. STEPHENS*
Affiliation:
C3 – Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, 04510 Mexico City, Mexico Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, 04510 Mexico City, Mexico
JUAN J. MORRONE
Affiliation:
Museo de Zoología ‘Alfonso L. Herrera’, Departamento de Biología Evolutiva, Facultad de Ciencias, Universidad Nacional Autónoma de México, 04510 Mexico City, Mexico
JUAN LUIS TÉLLEZ-RENDÓN
Affiliation:
Instituto de Diagnóstico y Referencia Epidemiológicos (INDRE), 01480 Mexico City, Mexico
CONSTANTINO GONZÁLEZ-SALAZAR
Affiliation:
C3 – Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, 04510 Mexico City, Mexico
*
*Corresponding author: C3 – Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México (UNAM), 04510 Mexico City, Mexico. E-mail: stephens@nucleares.unam.mx
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Summary

Chagas disease is one of the most important vector-borne zoonotic diseases in Latin America. Control strategies could be improved if transmissibility patterns of its aetiologic agent, Trypanosoma cruzi, were better understood. To understand transmissibility patterns of Chagas disease in Mexico, we inferred potential vectors and hosts of T. cruzi from geographic distributions of nine species of Triatominae and 396 wild mammal species, respectively. The most probable vectors and hosts of T. cruzi were represented in a Complex Inference Network, from which we formulated a predictive model and several associated hypotheses about the ecological epidemiology of Chagas disease. We compiled a list of confirmed mammal hosts to test our hypotheses. Our tests allowed us to predict the most important potential hosts of T. cruzi and to validate the model showing that the confirmed hosts were those predicted to be the most important hosts. We were also able to predict differences in the transmissibility of T. cruzi among triatomine species from spatial data. We hope our findings help drive efforts for future experimental studies.

Keywords

Trypanosoma cruzipotential hostsspatial data miningecological epidemiology

Information

Type
Research Article
Information
Parasitology , Volume 144 , Issue 6 , May 2017 , pp. 760 - 772
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Copyright
Copyright © Cambridge University Press 2017 

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