Understanding transmissibility patterns of Chagas disease through complex vector-host networks.

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