A description of the epidemiological dynamics of Chagas disease via mathematical modeling

•A mathematical model is used to describe Trypanosoma cruzi transmission in an endemic area.•The interaction between humans, Trypanosoma cruzi, vectors, and reservoirs is modeled.•Possible scenarios of Chagas disease dynamics in endemic areas are simulated. Chagas disease is caused by the protozoan...

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Bibliographic Details
Published in:Acta tropica 2023-07, Vol.243, p.106930-106930, Article 106930
Main Authors: Lozada-Yavina, Rafael, Marchant, Carolina, Cancino-Faure, Beatriz, Hernández-Rodríguez, Erix W., Córdova-Lepe, Fernando
Format: Article
Language:English
Subjects:
Animals
Chagas Disease
Humans
Insect Vectors
Mammals
Mathematical models
Models, Theoretical
Simulation
Triatoma
Trypanosoma cruzi
Vector-borne disease
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Summary:•A mathematical model is used to describe Trypanosoma cruzi transmission in an endemic area.•The interaction between humans, Trypanosoma cruzi, vectors, and reservoirs is modeled.•Possible scenarios of Chagas disease dynamics in endemic areas are simulated. Chagas disease is caused by the protozoan Trypanosoma cruzi, which parasitizes many mammals, including humans. Its vectors are blood-feeding hematophagous triatomine insects of different species, which vary according to the geographical area. One of the 17 neglected diseases targeted by the World Health Organization, Chagas disease is endemic to the Americas, but has spread to other countries due to human migratory movements. In this study, we describe the epidemiological dynamics of Chagas disease in an endemic area, considering the main transmission mechanisms and the demographic effects of birth, mortality, and human migration in this phenomenon. We apply mathematical models as a methodological approach to simulate the interactions between reservoirs, vectors, and humans using a system of ordinary differential equations. The results show that the Chagas disease control measures currently in place cannot be relaxed without endangering the progress achieved to date.
ISSN:0001-706X
1873-6254
DOI:10.1016/j.actatropica.2023.106930