Evidence map›Paper›PMID 31455165›Full record

ArticleJournal of the Royal Society, Interface2019

Data scarcity and ecological complexity: the cutaneous leishmaniasis dynamics in Ecuador.

Diego Morales, Marlio Paredes, Emmanuel J Morales-Butler, Mayteé Cruz-Aponte, Leon Arriola, Varsovia Cevallos, Patricio Ponce, Anuj Mubayi

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 6 institutions in 5 countries.

Diego MoralesInstituto Nacional de Investigación en Salud Pública (INSPI), Quito, Ecuador.
Marlio ParedesDepartment of Mathematics, Universidad del Valle, Calle 13 No. 100-00, Cali 760032, Colombia.
Emmanuel J Morales-ButlerDepartment of Natural Sciences, University of Puerto Rico at Utuado, Utuado, PR 00641, USA.
Mayteé Cruz-AponteDepartment of Mathematics-Physics, University of Puerto Rico at Cayey, Cayey, PR 00736, USA.
Leon ArriolaMathematics Department, University of Wisconsin-Whitewater, Whitewater, WI 53190, USA.
Varsovia CevallosInstituto Nacional de Investigación en Salud Pública (INSPI), Quito, Ecuador.
Patricio PonceYachay Tech University, San Miguel de Urcuquí, Ecuador.
Anuj MubayiSimon A. Levin Mathematical, Computational and Modeling Sciences Center, Arizona State University, Tempe, AZ 85287, USA.
Arizona State University · USInstituto Nacional de Investigación en Salud Pública · ECUniversidad Yachay Tech · ECUniversity of Puerto Rico at Cayey · PRUniversity of Puerto Rico at Utuado · PRUniversity of Wisconsin–Whitewater · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cutaneous leishmaniasis (CL) is a neglected tropical disease transmitted by species of Phlebotominae sand flies. CL is responsible for more than 1000 reported cases per year in Ecuador. Vector collection studies in Ecuador suggest that there is a strong association between the ecological diversity of an ecosystem, the presence of potential alternative or reservoir hosts and the abundance of sand fly species. Data collected from a coastal community in Ecuador showed that Leishmania parasites may be circulating in diverse hosts, including mammalian and potentially avian species, and these hosts may serve as potential hosts for the parasite. There has been limited reporting of CL cases in Ecuador because the disease is non-fatal and its surveillance system is passive. Hence, the actual incidence of CL is unknown. In this study, an epidemic model was developed and analysed to understand the complexity of CL transmission dynamics with potential non-human hosts in the coastal ecosystem and to estimate critical epidemiological quantities for Ecuador. The model is fitted to the 2010 CL outbreak in the town of Valle Hermoso in the Santo Domingo de los Tsachilas province of Ecuador and parameters such as CL transmission rates in different types of hosts (primary and alternative), and levels of case reporting in the town are estimated. The results suggest that the current surveillance in this region fails to capture 38% (with 95% CI (29%, 47%)) of the actual number of cases under the assumption that alternative hosts are dead-end hosts and that the mean CL reproduction number in the town is 3.9. This means that on the average 3.9 new human CL cases were generated by a single infectious human in the town during the initial period of the 2010 outbreak. Moreover, major outbreaks of CL in Ecuador in coastal settings are unavoidable until reporting through the surveillance system is improved and alternative hosts are managed properly. The estimated infection transmission probabilities from alternative hosts to sand flies, and sand flies to alternative hosts are 27% and 32%, respectively. The analysis highlights that vector control and alternative host management are two effective programmes for Ecuador but need to be implemented concurrently to avoid future major outbreaks.

Indexed as

EcosystemModels, BiologicalAnimalsBirdsEcuadorHumansInsect VectorsLeishmaniaLeishmaniasis, CutaneousPsychodidaeZoonosesdata sparsityhealth surveillancehost heterogeneitymathematical modelunderreportingvector feeding preference

Identifiers

PMID31455165
PMCPMC6731491
OpenAlexW2970919197

What OpenQuestion holds

Textmetadata
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.