Understanding transmissibility patterns of Chagas disease through complex vector–host networks
| Autor: | Christopher R. Stephens, Juan Luis Téllez-Rendón, Laura Rengifo-Correa, Juan J. Morrone, Constantino González-Salazar |
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| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
Chagas disease 030231 tropical medicine Animals Wild Spatial data mining Models Biological 010603 evolutionary biology 01 natural sciences 03 medical and health sciences 0302 clinical medicine parasitic diseases medicine Animals Chagas Disease Trypanosoma cruzi Mexico Triatominae Mammals biology Host (biology) medicine.disease biology.organism_classification Transmissibility (vibration) Insect Vectors Infectious Diseases Complex vector Evolutionary biology Host-Pathogen Interactions Animal Science and Zoology Parasitology |
| Zdroj: | Parasitology. 144:760-772 |
| ISSN: | 1469-8161 0031-1820 |
| DOI: | 10.1017/s0031182016002468 |
| Popis: | SUMMARYChagas 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. |
| Databáze: | OpenAIRE |
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