Evidence map›Paper›PMID 28413725›Full record

ArticlePeerJ2017

Trypanosoma cruzi reservoir-triatomine vector co-occurrence networks reveal meta-community effects by synanthropic mammals on geographic dispersal.

Carlos N Ibarra-Cerdeña, Leopoldo Valiente-Banuet, Víctor Sánchez-Cordero, Christopher R Stephens, Janine M Ramsey

Abstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
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  5. Fighting Strategies Against Chagas' Disease: A Review.Pathogens (Basel, Switzerland) · 2025
    Review
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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

5 authors.

Carlos N Ibarra-CerdeñaDepartamento de Ecología Humana, Centro de Investigaciones y de Estudios de Avanzados (Cinvestav) del IPN Unidad Mérida, Mérida, Yucatán, México.
Leopoldo Valiente-BanuetCentro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México, Ciudad de México, México.
Víctor Sánchez-CorderoInstituto de Biología, Universidad Nacional Autónoma de México, Ciudad de México, México.
Christopher R StephensCentro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México, Ciudad de México, México.
Janine M RamseyCentro Regional de Investigaciones en Salud Pública, Instituto Nacional de Salud Pública, Tapachula, Chiapas, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contemporary patterns of land use and global climate change are modifying regional pools of parasite host species. The impact of host community changes on human disease risk, however, is difficult to assess due to a lack of information about zoonotic parasite host assemblages. We have used a recently developed method to infer parasite-host interactions for Chagas Disease (CD) from vector-host co-occurrence networks. Vector-host networks were constructed to analyze topological characteristics of the network and ecological traits of species' nodes, which could provide information regarding parasite regional dispersal in Mexico. Twenty-eight triatomine species (vectors) and 396 mammal species (potential hosts) were included using a data-mining approach to develop models to infer most-likely interactions. The final network contained 1,576 links which were analyzed to calculate centrality, connectivity, and modularity. The model predicted links of independently registered

Indexed as

Chagas diseaseComplex networksCo-occurrenceData-miningMexicoTriatominaeVector-host interactionsZoonotic disease

Identifiers

PMID28413725
PMCPMC5391790

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.