Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/57860
Title: Temporal series analyses in equine infectious anemia cases in the State of Rio de Janeiro, Brazil, 2007 to 2011
Keywords: Animal health defense
Epidemiology
Equines - Anemia
Defesa da saúde animal
Epidemiologia
Eqüinos - Anemia
Issue Date: Oct-2016
Publisher: Society of Veterinary Medicine of the State of Rio de Janeiro
Citation: BAPTISTA, D. de Q. et al. Temporal series analyses in equine infectious anemia cases in the State of Rio de Janeiro, Brazil, 2007 to 2011. Brazilian Journal of Veterinary Medicine, v. 38, n. 4, p. 431-438, out./dez. 2016.
Abstract: Equine Infectious Anemia (EIA) is a disease caused by a cosmopolitan in-fection of which the etiological agent is the Lentivirus, which reaches equines in general. This paper presents the results of a survey of the EIA in the State of Rio de Janeiro, Brazil, by means of a temporal series from 2007 to 2011. In addition, was estimating a model of case occurrences in subsequent years. The occurrence of EIA in the State is low (0.43%), with the highest occurrence being in 2007 (0.63%). The Livestock Defense Regionals (LDRs) that had the highest prevalence of this disease were Rio de Janeiro, Niterói, Cordeiro and Tres Rios, however, the LDRs, such as Barra Mansa, Itaocara and Campos dos Goyta-cazes had the lowest number of tests performed, thus presenting the lowest prevalence values. This disease is still considered endemic in the state of Rio de Janeiro. The prevision analysis indicates an approximate prediction (p<0.01) of the real observation of the number of EIA cases in the State of Rio de Janeiro in the year of 2011, thus constituting an important tool for planning the control and eradication of EIA.
URI: http://repositorio.ufla.br/jspui/handle/1/57860
Appears in Collections:DMV - Artigos publicados em periódicos

Files in This Item:
There are no files associated with this item.


This item is licensed under a Creative Commons License Creative Commons