Evidence map›Paper›PMID 36851503›Full record

ArticleViruses2023

Risk Factors and Spatiotemporal Analysis of Classical Swine Fever in Ecuador.

Alfredo Acosta, Klaas Dietze, Oswaldo Baquero, Germana Vizzotto Osowski, Christian Imbacuan, Alexandra Burbano, Fernando Ferreira, Klaus Depner

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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

8 authors at 2 institutions in 2 countries.

Alfredo AcostaInstitute of International Animal Health/One Health, Friedrich-Loeffler-Institut, 17493 Greifswald, Germany.ORCID 0000-0001-9627-3094
Klaas DietzeInstitute of International Animal Health/One Health, Friedrich-Loeffler-Institut, 17493 Greifswald, Germany.ORCID 0000-0002-6138-6707
Oswaldo BaqueroLaboratory of Epidemiology and Biostatistics, School of Veterinary Medicine and Animal Science, Preventive Veterinary Medicine Department, University of São Paulo, São Paulo 05508-270, Brazil.
Germana Vizzotto OsowskiLaboratory of Epidemiology and Biostatistics, School of Veterinary Medicine and Animal Science, Preventive Veterinary Medicine Department, University of São Paulo, São Paulo 05508-270, Brazil.ORCID 0000-0002-6388-5382
Christian ImbacuanGeneral Coordination of Animal Health, Phyto-Zoosanitary Regulation and Control Agency, Quito 170903, Ecuador.
Alexandra BurbanoGeneral Coordination of Animal Health, Phyto-Zoosanitary Regulation and Control Agency, Quito 170903, Ecuador.
Fernando FerreiraLaboratory of Epidemiology and Biostatistics, School of Veterinary Medicine and Animal Science, Preventive Veterinary Medicine Department, University of São Paulo, São Paulo 05508-270, Brazil.ORCID 0000-0002-9160-7355
Klaus DepnerInstitute of International Animal Health/One Health, Friedrich-Loeffler-Institut, 17493 Greifswald, Germany.
Friedrich-Loeffler-Institut · DEUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Classical swine fever (CSF) is one of the most important re-emergent swine diseases worldwide. Despite concerted control efforts in the Andean countries, the disease remains endemic in several areas, limiting production and trade opportunities. In this study, we aimed to determine the risk factors and spatiotemporal implications associated with CSF in Ecuador. We analysed passive surveillance and vaccination campaign datasets from 2014 to 2020; Then, we structured a herd-level case-control study using a logistic and spatiotemporal Bayesian model. The results showed that the risk factors that increased the odds of CSF occurrence were the following: swill feeding (OR 8.53), time until notification (OR 2.44), introduction of new pigs during last month (OR 2.01) and lack of vaccination against CSF (OR 1.82). The spatiotemporal model showed that vaccination reduces the risk by 33%. According to the priority index, the intervention should focus on

Indexed as

Classical Swine FeverAnimalsBayes TheoremCase-Control StudiesEcuadorRisk FactorsSpatio-Temporal AnalysisSwinecase-controlclassical swine feverEcuadorrisk-based surveillancerisk factorsspatiotemporalvaccination

Identifiers

PMID36851503
PMCPMC9966056
OpenAlexW4317502700

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.