Literature DB >> 25476549

Identification of Suitable Areas for African Horse Sickness Virus Infections in Spanish Equine Populations.

A Sánchez-Matamoros1,2, J M Sánchez-Vizcaíno1, V Rodríguez-Prieto1, E Iglesias3, B Martínez-López1,4.   

Abstract

African horse sickness (AHS) is one of the most important vector-borne viral infectious diseases of equines, transmitted mainly by Culicoides spp. The re-emergence of Culicoides-borne diseases in Europe, such as the recent bluetongue (BT) or Schmallenberg outbreaks, has raised concern about the potential re-introduction and further spread of AHS virus (AHSV) in Europe. Spain has one of the largest European equine populations. In addition, its geographical, environmental and entomological conditions favour AHSV infections, as shown by the historical outbreaks in the 1990s. The establishment of risk-based surveillance strategies would allow the early detection and rapid control of any potential AHSV outbreak. This study aimed to identify the areas and time periods that are suitable or at high risk for AHS occurrence in Spain using a GIS-based multicriteria decision framework. Specifically risk maps for AHS occurrence were produced using a weighted linear combination of the main risk factors of disease, namely extrinsic incubation period, equine density and distribution of competent Culicoides populations. Model results revealed that the south-western and north-central areas of Spain and the Balearic Islands are the areas at the highest risk for AHSV infections, particularly in late summer months. Conversely, Galicia, Castile and Leon and La Rioja can be considered as low-risk regions. This result was validated with historical AHS and BT outbreaks in Spain, and with the Culicoides vector distribution area. The model results, together with current Spanish equine production features, should provide the foundations to design risk-based and more cost-effective surveillance strategies for the early detection and rapid control potential of AHS outbreaks in Spain.
© 2014 Blackwell Verlag GmbH.

Entities:  

Keywords:  African horse sickness; Spain; risk mapping; risk-based surveillance; suitability maps; vector-borne disease

Mesh:

Year:  2014        PMID: 25476549     DOI: 10.1111/tbed.12302

Source DB:  PubMed          Journal:  Transbound Emerg Dis        ISSN: 1865-1674            Impact factor:   5.005


  4 in total

1.  Modeling the global distribution of Culicoides imicola: an Ensemble approach.

Authors:  Samson Leta; Eyerusalem Fetene; Tesfaye Mulatu; Kebede Amenu; Megarsa Bedasa Jaleta; Tariku Jibat Beyene; Haileleul Negussie; Crawford W Revie
Journal:  Sci Rep       Date:  2019-10-02       Impact factor: 4.379

2.  Updating the global occurrence of Culicoides imicola, a vector for emerging viral diseases.

Authors:  Samson Leta; Eyerusalem Fetene; Tesfaye Mulatu; Kebede Amenu; Megarsa Bedasa Jaleta; Tariku Jibat Beyene; Haileleul Negussie; Darren Kriticos; Crawford W Revie
Journal:  Sci Data       Date:  2019-09-30       Impact factor: 6.444

Review 3.  Spatial and temporal epidemiological analysis in the Big Data era.

Authors:  Dirk U Pfeiffer; Kim B Stevens
Journal:  Prev Vet Med       Date:  2015-06-06       Impact factor: 2.670

4.  Spatio-temporal modelling of Culicoides Latreille (Diptera: Ceratopogonidae) populations on Reunion Island (Indian Ocean).

Authors:  Yannick Grimaud; Annelise Tran; Samuel Benkimoun; Floriane Boucher; Olivier Esnault; Catherine Cêtre-Sossah; Eric Cardinale; Claire Garros; Hélène Guis
Journal:  Parasit Vectors       Date:  2021-05-27       Impact factor: 3.876

  4 in total

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