Evidence map›Paper›PMID 27716833›Full record

ArticlePLoS neglected tropical diseases2016

Can You Judge a Disease Host by the Company It Keeps? Predicting Disease Hosts and Their Relative Importance: A Case Study for Leishmaniasis.

Christopher R Stephens, Constantino González-Salazar, Víctor Sánchez-Cordero, Ingeborg Becker, Eduardo Rebollar-Tellez, Ángel Rodríguez-Moreno, Miriam Berzunza-Cruz, Cristina Domingo Balcells, Gabriel Gutiérrez-Granados, Mircea Hidalgo-Mihart and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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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

14 authors at 6 institutions in 2 countries.

Christopher R StephensInstituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico.
Constantino González-SalazarC3 - Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico.ORCID http://orcid.org/0000-0001-7347-714X
Víctor Sánchez-CorderoInstituto de Biología, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico.
Ingeborg BeckerUnidad de Investigación en Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico.
Eduardo Rebollar-TellezLaboratorio de Entomología Médica, Departamento de Zoología de Invertebrados, Facultad de Ciencias Biológicas, Universidad Autónoma de Nuevo León, Nuevo León, México.
Ángel Rodríguez-MorenoInstituto de Biología, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico.
Miriam Berzunza-CruzUnidad de Investigación en Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico.
Cristina Domingo BalcellsUnidad de Investigación en Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico.
Gabriel Gutiérrez-GranadosFacultad de Estudios Superiores-Zaragoza, Universidad Nacional Autónoma de México, México D.F., México.
Mircea Hidalgo-MihartDivisión Académica de Ciencias Biológicas. Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, México.
Carlos N Ibarra-CerdeñaDepartamento de Ecología Humana, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav) Unidad Mérida, Mérida, Yucatán, México.
Martha Pilar Ibarra LópezLaboratorio de Zoología, Centro Universitario de la Costa Sur, Universidad de Guadalajara, Jalisco, México.
Luis Ignacio Iñiguez DávalosLaboratorio de Zoología, Centro Universitario de la Costa Sur, Universidad de Guadalajara, Jalisco, México.
María Magdalena Ramírez MartínezDepartamento de Salud y Ecología Humana, Centro Universitario de la Costa Sur, Universidad de Guadalajara, Jalisco, México.
Universidad Nacional Autónoma de México · MXUniversidad de Guadalajara · MXUniversidad Autónoma de la Ciudad de México · MXCentro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional · MXUniversidad Autónoma de Nuevo León · MXUniversidad Juárez Autónoma de Tabasco · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zoonoses are an important class of infectious diseases. An important element determining the impact of a zoonosis on domestic animal and human health is host range. Although for particular zoonoses some host species have been identified, until recently there have been no methods to predict those species most likely to be hosts or their relative importance. Complex inference networks infer potential biotic interactions between species using their degree of geographic co-occurrence, and have been posited as a potential tool for predicting disease hosts. Here we present the results of an interdisciplinary, empirical study to validate a model based on such networks for predicting hosts of Leishmania (L.) mexicana in Mexico. Using systematic sampling to validate the model predictions we identified 22 new species of host (34% of all species collected) with the probability to be a host strongly dependent on the probability of co-occurrence of vector and host. The results confirm that Leishmania (L.) mexicana is a generalist parasite but with a much wider host range than was previously thought. These results substantially change the geographic risk profile for Leishmaniasis and provide insights for the design of more efficient surveillance measures and a better understanding of potential dispersal scenarios.

Indexed as

Host SpecificityAnimalsDisease ReservoirsHumansLeishmaniaLeishmaniasisMexicoMiceZoonoses

Identifiers

PMID27716833
PMCPMC5055336
OpenAlexW2529439802

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.