Evidence map›Paper›PMID 34039413›Full record

ArticleParasites & vectors2021

Temporal and geographic analysis of trichinellosis incidence in Chile with risk assessment.

Carlos Landaeta-Aqueveque, Salvador Ayala, Denis Poblete-Toledo, Mauricio Canals

Abstract readHistorical Article
In one paragraph

Article in Parasites & vectors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. First assessment of the prevalence ofThe veterinary quarterly · 2025
    Article
  3. Article
  4. First record ofPeerJ · 2021
    Article
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

4 authors.

Carlos Landaeta-AquevequeFacultad de Ciencias Veterinarias, Universidad de Concepción, Vicente Méndez 595, Chillán, Chile. clandaeta@udec.cl.ORCID http://orcid.org/0000-0002-7398-6099
Salvador AyalaInstituto de Salud Pública de Chile, Santiago, Chile.
Denis Poblete-ToledoFacultad de Ciencias Veterinarias, Universidad de Concepción, Vicente Méndez 595, Chillán, Chile.
Mauricio CanalsPrograma de Salud Ambiental, Escuela de Salud Pública and Departamento de Medicina, Facultad de Medicina, Universidad de Chile, Independencia 939, 8380453, Santiago, Chile. mcanals@uchile.cl.ORCID http://orcid.org/0000-0001-5256-4439

Funding

Fondo Nacional de Desarrollo Científico y Tecnológico 11170294
6 · The paper itself

Abstract

Trichinellosis is a foodborne disease caused by several Trichinella species around the world. In Chile, the domestic cycle was fairly well-studied in previous decades, but has been neglected in recent years. The aims of this study were to analyze, geographically, the incidence of trichinellosis in Chile to assess the relative risk and to analyze the incidence rate fluctuation in the last decades. Using temporal data spanning 1964-2019, as well as geographical data from 2010 to 2019, the time series of cases was analyzed with ARIMA models to explore trends and periodicity. The Dickey-Fuller test was used to study trends, and the Portmanteau test was used to study white noise in the model residuals. The Besag-York-Mollie (BYM) model was used to create Bayesian maps of the level of risk relative to that expected by the overall population. The association of the relative risk with the number of farmed swine was assessed with Spearman's correlation. The number of annual cases varied between 5 and 220 (mean: 65.13); the annual rate of reported cases varied between 0.03 and 1.9 cases per 10

Indexed as

AnimalsBayes TheoremChileDisease OutbreaksGeographic MappingHistory, 20th CenturyHistory, 21st CenturyIncidenceRisk AssessmentSwineSwine DiseasesTrichinellaTrichinellosisChileDisease outbreaksFoodborne diseasesIncidenceRisk assessmentTrichinella

Identifiers

PMID34039413
PMCPMC8157648

What OpenQuestion holds

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LicenceCC BY
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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.