2006
DOI: 10.1177/104063870601800511
|View full text |Cite
|
Sign up to set email alerts
|

Distribution of Equine Infectious Anemia in Horses in the North of Minas Gerais State, Brazil

Abstract: Abstract. The paper examines the prevalence of equine infectious anemia (EIA) in horse populations in the northern part (comprising 89 cities) of Minas Gerais State, Brazil, from January 2002 to December 2004. Data on 8,981 agar gel immunodiffusion test results from the region were used as input for a statistical and autoregressive analysis model to construct a city-level map of the distribution of EIA prevalence. The following EIA prevalence (P) levels were found: 49 cities with 0 , P # 0.5%, 26 with 0.5% , P… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
7
0

Year Published

2008
2008
2022
2022

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 13 publications
(7 citation statements)
references
References 6 publications
0
7
0
Order By: Relevance
“…Equine infectious anemia virus (EIAV) has been found in blood, milk, saliva, feces and semen of diseased horses. The virus apparently can cross the placental barrier and cause prenatal fetal infection [13,30,31,37]. …”
Section: Methodsmentioning
confidence: 99%
“…Equine infectious anemia virus (EIAV) has been found in blood, milk, saliva, feces and semen of diseased horses. The virus apparently can cross the placental barrier and cause prenatal fetal infection [13,30,31,37]. …”
Section: Methodsmentioning
confidence: 99%
“…A recent study based on a spatial scan statistic method showed that TB cases were highly concentrated in many neighbourhoods in Antananarivo [7]. Here, we re-examine this finding using a Bayesian approach, as previously described for analyses of the spatial distribution of prostate cancer incidence [8], lung cancer [9], malaria [10], giardiasis [11], equine infectious anaemia in horses [12]; modelling the effects of indicators of tuberculosis [13], schistosomiasis [14] and predicting the spatial distribution of schistosomiasis [15]. Previous disease mapping work was based on collating, mapping and analysing prevalence or incidence data with conventional statistical approaches, which are affected by random variation due to population variability and a loss of statistical power when cases are assigned to subgroups (e.g., several geographic subareas).…”
Section: Introductionmentioning
confidence: 99%
“…Due to the registration of the disease at almost all continents [17,[18][19][20], much attention is paid to the problem of the EIA virus prevalence control. Phylogenetic analysis of local isolates and strains performed in different countries suggests that there are genetic subtypes of the EIA virus that circulate in the world currently [8,14,17].…”
Section: Introductionmentioning
confidence: 99%