Spatial characterization of Leptospira spp. infection in equids from the Brejo Paraibano micro-region in Brazil.
Abstract: The present study, the first to spatially characterize Leptospira spp. infection among equids in the Brejo Paraibano micro-region of the Paraiba state in the northeast of Brazil, investigated 257 animals in 26 farms properties. Serum samples from 204 horses, 46 mules and seven donkeys were serologically diagnosed using the microscopic agglutination test (MAT). The distribution of Leptospira spp. was studied by employing specific antigens from 24 different Leptospira serovars. All farms were georeferenced and their distribution visualised on a map of the Brejo Paraibano micro-region. In addition, rainfall data were obtained from the same year, in which the sampling was performed. Among the 20 farms found to harbour animals with leptospirosis, 14 (70%) exhibited low prevalence, five (25%) medium prevalence and one (5%), high prevalence. Certain areas had a higher density of infected farms and required intervention to control the infection. Many serovars were widely distributed, while others were more common in particular areas. There was no significant association between the prevalence of Leptospira spp. infection and rainfall.
Publication Date: 2014-06-04 PubMed ID: 24893023DOI: 10.4081/gh.2014.35Google Scholar: Lookup
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- Journal Article
Summary
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This research article discusses the spread of Leptospira infection among horses, mules, and donkeys in the Brejo Paraibano region in Brazil and its relation to rainfall patterns. It shows that the infection had varying prevalence across different areas and wasn’t tied to rainfall.
Study Methodology
- The researchers performed the first spatial characterization of a Leptospira infection among equids (horses, mules, and donkeys) in the Brejo Paraibano region in northeast Brazil.
- They examined 257 animals across 26 different farms. Diagnosis was achieved through a microscopic agglutination test (MAT) on serum samples.
- They studied the distribution of the Leptospira bacteria by using specific antigens from 24 different strains or serovars of the bacteria.
- All the farms were georeferenced, allowing the researchers to visually map the distribution of the infection across the region.
- Rainfall data was also gathered from the year of the study, as the bacteria often thrive in wet conditions.
Findings and Conclusions
- Among the 20 farms found to have animals with leptospirosis, 70% had a low prevalence, 25% medium prevalence and 5% high prevalence.
- Some areas had a higher density of infected farms, implying these areas need targeted intervention to control the spread.
- Different serovars of Leptospira had different distributions; some were widespread, while others were localized to specific areas. This distribution could be due to environmental factors or particular host preferences of the serovars.
- Contrary to what might be expected, the study found no significant correlation between rainfall and the prevalence of Leptospira infection. This could be due to other environmental and epidemiological factors affecting the bacteria’s spread, the timing of sampling, and/or local climate variations.
Cite This Article
APA
Oliveira Filho RB, Campos Malta K, Assis Santana VL, Vance Harrop MH, Tancler Stipp D, Friguglietti Brandespim D, Aparecido Mota R, Wilton Pinheiro Júnior J.
(2014).
Spatial characterization of Leptospira spp. infection in equids from the Brejo Paraibano micro-region in Brazil.
Geospat Health, 8(2), 463-469.
https://doi.org/10.4081/gh.2014.35 Publication
Researcher Affiliations
MeSH Terms
- Animals
- Brazil / epidemiology
- Equidae / microbiology
- Horse Diseases / epidemiology
- Horse Diseases / microbiology
- Horses / microbiology
- Leptospira
- Leptospirosis / epidemiology
- Leptospirosis / veterinary
- Prevalence
- Rain
- Spatial Analysis
Citations
This article has been cited 1 times.- Souza IPO, Uberti MS, Tassinari WS. Geoprocessing and spatial analysis for identifying leptospirosis risk areas: a systematic review. Rev Inst Med Trop Sao Paulo 2020;62:e35.
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