Evidence map›Paper›PMID 27863520›Full record

ArticleParasites & vectors2016

Modeling the effects of palm-house proximity on the theoretical risk of Chagas disease transmission in a rural locality of the Orinoco basin, Colombia.

Diana Erazo, Juan Cordovez

Abstract read
In one paragraph

Article in Parasites & vectors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

2 authors.

Diana ErazoBIOMAC, Universidad de los Andes, Carrera 1 E No. 19A 40, Bogotá, 111711, Colombia.
Juan CordovezBIOMAC, Universidad de los Andes, Carrera 1 E No. 19A 40, Bogotá, 111711, Colombia. jucordov@uniandes.edu.co.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChagas disease is a major public health concern in Latin America and it is transmitted by insects of the subfamily Triatominae, including Rhodnius spp. Since palm trees are ubiquitous in Colombia and a habitat for Rhodnius spp., the presence of palms near villages could increase contact rates between vectors and humans. Therefore, knowing whether a relationship exists between the proximity of palms to villages and the abundance and distribution of vectors therein, may be critical for Chagas disease prevention programs. Adapting a mathematical model for R. prolixus population dynamics in a small village, we model the implications of changing distances between palms and dwellings, to the risk of Chagas disease infection.

methodsWe implemented a mathematical model that reflects R. prolixus population dynamics in a small village located in the department of Casanare (Colombia) to study the role of palm-house proximity. We varied the distance between palms and houses by monitoring the network global efficiency metric. We constructed 1,000 hypothetical villages varying distances and each one was run 100 times.

resultsAccording to the model, as palm-house proximity increases, houses were more likely to be visited by triatomine bugs. The number of bugs per unit time increased progressively in a non-linear fashion with high variability. We stress the importance of village configuration on the model output.

conclusionsFrom a theoretical perspective, palm-house proximity may have a positive effect on the incidence of Chagas disease. The model predicts a 1% increase in new human cases per year when houses and palms are brought closer by 75%.

Indexed as

HousingTreesAnimalsChagas DiseaseColombiaEcosystemEnvironmentHumansInsect ControlInsect VectorsModels, TheoreticalRhodniusRisk FactorsRural PopulationTrypanosoma cruziChagas diseaseHouse infestationMathematical modelingPalm proximityRhodnius prolixusRisk factors

Identifiers

PMID27863520
PMCPMC5116207

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LicenceCC BY
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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.