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

Abstract:

: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.

journal_name

Parasitology

journal_title

Parasitology

authors

Rengifo-Correa L,Stephens CR,Morrone JJ,Téllez-Rendón JL,González-Salazar C

doi

10.1017/S0031182016002468

subject

Has Abstract

pub_date

2017-05-01 00:00:00

pages

760-772

issue

6

eissn

0031-1820

issn

1469-8161

pii

S0031182016002468

journal_volume

144

pub_type

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