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The Mayaro virus and its potential epidemiological consequences in Colombia: an exploratory biomathematics analysis

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AbstractBackgroundMayaro virus (Togaviridae) is an endemic arbovirus of the Americas with epidemiological similarities with the agents of other more prominent diseases such as dengue (Flaviviridae), Zika (Flaviviridae), and chikungunya (Togaviridae). It is naturally transmitted in a sylvatic/rural cycle byHaemagogusspp., but, potentially, it could be incorporated and transmitted in an urban cycle byAedes aegypti, a vector widely disseminated in the Americas.MethodsThe Mayaro arbovirus dynamics was simulated mathematically in the colombian population in the eight biogeographical provinces, bearing in mind the vector’s population movement between provinces through passive transportviatruck cargo. The parameters involved in the virus epidemiological dynamics, as well as the vital rates ofAe. aegyptiin each of the biogeographical provinces were obtained from the literature. These data were included in a meta-population model in differential equations, represented by a model structured by age for the dynamic population ofAe. aegypticombined with an epidemiological SEI/SEIR-type model. In addition, the model was incorporated with a term of migration to represent the connectivity between the biogeographical provinces.ResultsThe vital rates and the development cycle ofAe. aegyptivaried between provinces, having greater biological potential between 23 °C and 28 °C in provinces of Imerí, biogeographical Chocó, and Magdalena, with respect to the North-Andean Moorland (9.33–21.38 °C). Magdalena and Maracaibo had the highest flow of land cargo. The results of the simulations indicate that Magdalena, Imerí, and biogeographical Chocó would be the most affected regarding the number of cases of people infected by Mayaro virus over time.ConclusionsThe temperature in each of the provinces influences the local population dynamics ofAe. aegyptiand passive migrationviatransport of land cargo plays an important role on how the Mayaro virus would be disseminated in the human population. Once this arbovirus begins an urban cycle, the most-affected departments would be Antioquia, Santander, Norte de Santander, Cesar (Provinces of Magdalena), and Valle del Cauca, and Chocó (biogeographical province of Chocó), which is why vector control programmes must aim their efforts at these departments and include some type of vector control to the transport of land cargo to avoid a future Mayaro epidemic.
Title: The Mayaro virus and its potential epidemiological consequences in Colombia: an exploratory biomathematics analysis
Description:
AbstractBackgroundMayaro virus (Togaviridae) is an endemic arbovirus of the Americas with epidemiological similarities with the agents of other more prominent diseases such as dengue (Flaviviridae), Zika (Flaviviridae), and chikungunya (Togaviridae).
It is naturally transmitted in a sylvatic/rural cycle byHaemagogusspp.
, but, potentially, it could be incorporated and transmitted in an urban cycle byAedes aegypti, a vector widely disseminated in the Americas.
MethodsThe Mayaro arbovirus dynamics was simulated mathematically in the colombian population in the eight biogeographical provinces, bearing in mind the vector’s population movement between provinces through passive transportviatruck cargo.
The parameters involved in the virus epidemiological dynamics, as well as the vital rates ofAe.
aegyptiin each of the biogeographical provinces were obtained from the literature.
These data were included in a meta-population model in differential equations, represented by a model structured by age for the dynamic population ofAe.
aegypticombined with an epidemiological SEI/SEIR-type model.
In addition, the model was incorporated with a term of migration to represent the connectivity between the biogeographical provinces.
ResultsThe vital rates and the development cycle ofAe.
aegyptivaried between provinces, having greater biological potential between 23 °C and 28 °C in provinces of Imerí, biogeographical Chocó, and Magdalena, with respect to the North-Andean Moorland (9.
33–21.
38 °C).
Magdalena and Maracaibo had the highest flow of land cargo.
The results of the simulations indicate that Magdalena, Imerí, and biogeographical Chocó would be the most affected regarding the number of cases of people infected by Mayaro virus over time.
ConclusionsThe temperature in each of the provinces influences the local population dynamics ofAe.
aegyptiand passive migrationviatransport of land cargo plays an important role on how the Mayaro virus would be disseminated in the human population.
Once this arbovirus begins an urban cycle, the most-affected departments would be Antioquia, Santander, Norte de Santander, Cesar (Provinces of Magdalena), and Valle del Cauca, and Chocó (biogeographical province of Chocó), which is why vector control programmes must aim their efforts at these departments and include some type of vector control to the transport of land cargo to avoid a future Mayaro epidemic.

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