Spatial distribution and risk factors for equine infectious anaemia in the state of Mato Grosso, Brazil

被引:8
作者
Barros, M. L. [1 ,2 ]
Borges, A. M. C. M. [1 ]
de Oliveira, A. C. S. [3 ]
Lacerda, W. [3 ]
Souza, A. de O. [4 ]
Aguiar, D. M. [4 ]
机构
[1] Univ Fed Mato Grosso, Fac Vet Med, BR-78060900 Cuiaba, MT, Brazil
[2] Mato Grosso Inst Agr Def, BR-78050970 Cuiaba, MT, Brazil
[3] Univ Fed Mato Grosso, Inst Exact & Earth Sci, Dept Stat, BR-78060900 Cuiaba, MT, Brazil
[4] Univ Fed Mato Grosso, Vet Hosp, Lab Virol & Rickettsial Infect, Av Fernando Correa da Costa 2367, BR-78090900 Cuiaba, MT, Brazil
来源
REVUE SCIENTIFIQUE ET TECHNIQUE-OFFICE INTERNATIONAL DES EPIZOOTIES | 2018年 / 37卷 / 03期
关键词
Agar gel immunodiffusion; Brazil; Disease; Epidemiology; Equine; Equine infectious anaemia; Horse; Infection; Retroviridae; MECHANICAL TRANSMISSION; VIRUS; PREVALENCE; MOUTHPARTS; DIAGNOSIS; TABANIDAE; RESPONSES; DIPTERA;
D O I
10.20506/37.3.2900
中图分类号
S85 [动物医学(兽医学)];
学科分类号
0906 ;
摘要
The prevalence of equine infectious anaemia (EIA) in the three biomes of the state of Mato Grosso (Amazon, Cerrado and Pantanal) was estimated. Serum samples were collected from 3,858 equines in 1,067 herds between September and December 2014. The agar gel immunodiffusion (AGID) assay was used to detect EIA virus antibodies, and if a herd contained a seropositive animal it was classified as a focus. The prevalence rates were 17.2% (95% confidence interval [CI]: 14.9-19.8%) for herds and 6.6% (95% CI: 5.8-7.5%) for animals. The Pantanal region showed the highest prevalence rates: 36.1% (95% CI: 30.8-41.7%) for herds and 17.0% (95% CI: 14.7-19.6%) for animals. The spatial distribution of relative risk was calculated according to the kernel density, which revealed three major clusters with the highest prevalence rates occurring in the north-western (Amazon biome), north-eastern (Cerrado biome) and southern (Pantanal biome) regions. A high spatial correlation was found among ranches, with high intraherd prevalence rates located in the Amazon and Cerrado biomes, but the highest spatial correlation with EIA foci was found in the Pantanal biome. Variables related to ranch management, reflecting human influence, were associated with positive equines. Based on the results, it can be concluded that EIA is present in all biomes of the state, and that the risk factors are associated with human interference in the transmission process. Given this situation, the EIA control programme should be re-evaluated and more prophylactic measures should be adopted to control the disease.
引用
收藏
页码:971 / 983
页数:13
相关论文
共 41 条
  • [1] Aguiar D. M., 2008, Brazilian Journal of Veterinary Research and Animal Science, V45, P269
  • [2] Aguilar Machado Santos Silva R. Gomes Pinto de Abreu U. & Thadeu Medeiros de Barros A., 2001, 29 EMBR PANT
  • [3] Equine infectious anemia: prevalence in working equids of livestock herds, in Minas Gerais, Brazil.
    Almeida, V. M. A.
    Goncalves, V. S. P.
    Martins, M. F.
    Haddad, J. P. A.
    Dias, R. A.
    Leite, R. C.
    Reis, J. K. P.
    [J]. ARQUIVO BRASILEIRO DE MEDICINA VETERINARIA E ZOOTECNIA, 2006, 58 (02) : 141 - 148
  • [4] [Anonymous], 2009, MAN LEG PROGR NAC SA
  • [5] [Anonymous], 2016, REV EST COMPL AGR CA
  • [6] spatstat: An R package for analyzing spatial point patterns
    Baddeley, A
    Turner, R
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2005, 12 (06): : 1 - 42
  • [7] The influence of distance on movement of tabanids (Diptera: Tabanidae) between horses
    Barros, A. T. M.
    Foil, L. D.
    [J]. VETERINARY PARASITOLOGY, 2007, 144 (3-4) : 380 - 384
  • [8] BESAG J, 1974, J ROY STAT SOC B MET, V36, P192
  • [9] Using an autologistic regression model to identify spatial risk factors and spatial risk patterns of hand, foot and mouth disease (HFMD) in Mainland China
    Bo, Yan-Chen
    Song, Chao
    Wang, Jin-Feng
    Li, Xiao-Wen
    [J]. BMC PUBLIC HEALTH, 2014, 14
  • [10] Prevalence and risk factors for Equine Infectious Anemia in Pocone municipality, northern Brazilian Pantanal
    Borges, Alice M. C. M.
    Silva, Lucas G.
    Nogueira, Marcia F.
    Oliveira, Anderson C. S.
    Segri, Neuber J.
    Ferreira, Fernando
    Witter, Rute
    Aguiar, Daniel M.
    [J]. RESEARCH IN VETERINARY SCIENCE, 2013, 95 (01) : 76 - 81