Evidence map›Paper›PMID 40715785›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2025

Identification of persistent clusters and temporal trends of glanders in horses throughout Brazil.

Valdir Vieira da Silva, Denny Parente de Sá Barreto Maia Leite, Lucilene Martins Trindade Gonçalves, Pollyanne Raysa Fernandes de Oliveira, José Wilton Pinheiro Junior, Rinaldo Aparecido Mota

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Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2025. 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
–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

0 citing papers in PubMed.

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

6 authors.

Valdir Vieira da SilvaDepartment of Veterinary Medicine - R. Manuel de Medeiros, Federal Rural University of Pernambuco - UFRPE, s/n, Dois Irmãos, Recife, 521771-900, PE, Brazil.
Denny Parente de Sá Barreto Maia LeiteDepartment of Veterinary Medicine - R. Manuel de Medeiros, Federal Rural University of Pernambuco - UFRPE, s/n, Dois Irmãos, Recife, 521771-900, PE, Brazil.
Lucilene Martins Trindade GonçalvesDepartment of Veterinary Medicine - R. Manuel de Medeiros, Federal Rural University of Pernambuco - UFRPE, s/n, Dois Irmãos, Recife, 521771-900, PE, Brazil.
Pollyanne Raysa Fernandes de OliveiraDepartment of Veterinary Medicine - R. Manuel de Medeiros, Federal Rural University of Pernambuco - UFRPE, s/n, Dois Irmãos, Recife, 521771-900, PE, Brazil.
José Wilton Pinheiro JuniorDepartment of Veterinary Medicine - R. Manuel de Medeiros, Federal Rural University of Pernambuco - UFRPE, s/n, Dois Irmãos, Recife, 521771-900, PE, Brazil.
Rinaldo Aparecido MotaDepartment of Veterinary Medicine - R. Manuel de Medeiros, Federal Rural University of Pernambuco - UFRPE, s/n, Dois Irmãos, Recife, 521771-900, PE, Brazil. rinaldo.mota@hotmail.com.ORCID http://orcid.org/0000-0002-2844-5509

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glanders, caused by Burkholderia mallei, is a zoonotic disease with profound socioeconomic and public health implications, affecting equines and humans. This study investigated glanders cases in Brazil from 2006 to 2023 to identify persistent clusters and analyze temporal trends, providing a foundation for the formulation of effective control policies. Official data were obtained from the National Animal Health Information System (SIZ) and Brazilian Institute of Geography and Statistics (IBGE), encompassing case notifications and equine population statistics by state and year. The incidence risk (IR) was calculated, and prospective spatiotemporal analyses were performed using the discrete Poisson model in SatScan software. Temporal trends were assessed through segmented regression in Joinpoint software. A total of 2,654 glanders cases were reported, with the Northeast region accounting for 52.19% of cases and Pernambuco presenting the highest IR (342.58/100,000). Primary clusters were detected in the Northeast (RR = 5.16), while secondary clusters were identified in the North, South, Central-West, and Southeast regions, with the most notable cluster in Amazonas (RR = 60.32). Temporal trend analysis revealed overall stability in Brazil but demonstrated increasing trends in the North, South, and Central-West regions. These results underscore the critical need for integrated epidemiological surveillance, stricter health regulations, and improved control of equine movement, particularly in regions at higher risk. Strengthening early diagnostic capabilities and implementing targeted educational initiatives are essential to curbing the spread of B. mallei and mitigating the socioeconomic and public health impacts of glanders in Brazil.

Indexed as

Burkholderia malleiGlandersHorse DiseasesAnimalsBrazilCluster AnalysisHorsesIncidenceSpatio-Temporal AnalysisBurkholderia malleiEpidemiological surveillanceSpatiotemporal analysisVeterinary public healthZoonotic disease

Identifiers

PMID40715785
PMCPMC12350885

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Registered trials

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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.