Evidence map›Paper›PMID 33032645›Full record

ArticleParasites & vectors2020

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

Bryan Steven Valencia-Marín, Irene Duarte Gandica, Oscar Alexander Aguirre-Obando

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Update of the spatiotemporal distribution of Aedes albopictus in EcuadorBiomedica : revista del Instituto Nacional de Salud · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Bryan Steven Valencia-MarínEscuela de Investigaciones en Biomatemática, Universidad del Quindío, Carrera 15, Calle 12 Norte, Armenia, Quindío, Colombia.
Irene Duarte GandicaEscuela de Investigaciones en Biomatemática, Universidad del Quindío, Carrera 15, Calle 12 Norte, Armenia, Quindío, Colombia. iduarte@uniquindio.edu.co.
Oscar Alexander Aguirre-ObandoEscuela de Investigaciones en Biomatemática, Universidad del Quindío, Carrera 15, Calle 12 Norte, Armenia, Quindío, Colombia.
University of Quindío · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMayaro 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 by Haemagogus spp., but, potentially, it could be incorporated and transmitted in an urban cycle by Aedes 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 transport via truck cargo. The parameters involved in the virus epidemiological dynamics, as well as the vital rates of Ae. aegypti in 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 of Ae. aegypti combined 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 of Ae. aegypti varied 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 of Ae. aegypti and passive migration via transport 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.

Indexed as

AedesModels, TheoreticalTogaviridaeAlphavirus InfectionsAnimalsArbovirusesColombiaHumansModels, StatisticalMosquito ControlMosquito VectorsPopulation DynamicsAedes aegyptiArbovirusBiogeographical provincesHaemagogusMeta-population model (SEI/SEIR)Passive transport

Identifiers

PMID33032645
PMCPMC7542739
OpenAlexW3092047819

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.