Epidemiological Analyses of the First Incursion of the Epizootic Hemorrhagic Disease Virus Serotype 8 in Tunisia, 2021–2022

Author:

Ben Hassine Thameur1,García-Carrasco José-María2ORCID,Sghaier Soufien3ORCID,Thabet Sarah4,Lorusso Alessio5ORCID,Savini Giovanni5ORCID,Hammami Salah6

Affiliation:

1. General Directorate of Veterinary Services, Regional Commissary for Agricultural Development of Nabeul, Nabeul 8000, Tunisia

2. Biogeography, Diversity and Conservation Lab, Department of Animal Biology, Faculty of Sciences, University of Malaga, E-29071 Malaga, Spain

3. Food and Agriculture Organisation (FAO), Subregional Office for North Africa, les Berges du Lac 1, Tunis 1053, Tunisia

4. Institut de la RechercheVétérinaire de Tunisie, Tunis 1006, Tunisia

5. Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise, 64100 Teramo, Italy

6. École Nationale de Médecine Vétérinaire de Sidi Thabet (ENMV), Service de Microbiologie, Immunologie et Pathologie Générale, Université de la Manouba, Tunis 2020, Tunisia

Abstract

Epizootic hemorrhagic disease (EHD) is a non-contagious arthropod-transmitted viral disease and a World Organization for Animal Health (WOAH)-listed disease of domestic and wild ruminants since 2008. EHDV is transmitted among susceptible animals by a few species of midges of genus Culicoides. During the fall of 2021, a large outbreak caused by the epizootic hemorrhagic disease virus (EHDV), identified as serotype 8, was reported in Tunisian dairy and beef farms with Bluetongue virus (BTV)-like clinical signs. The disease was detected later in the south of Italy, in Spain, in Portugal and, more recently, in France, where it caused severe infections in cattle. This was the first evidence of EHDV-8 circulation outside Australia since 1982. In this study, we analyzed the epidemiological situation of the 2021–2022 EHDV outbreaks reported in Tunisia, providing a detailed description of the spatiotemporal evolution of the disease. We attempted to identify the eco-climatic factors associated with infected areas using generalized linear models (GLMs). Our results demonstrated that environmental factors mostly associated with the presence of C. imicola, such as digital elevation model (DEM), slope, normalized difference vegetation index (NDVI), and night-time land surface temperature (NLST)) were by far the most explanatory variables for EHD repartition cases in Tunisia that may have consequences in neighboring countries, both in Africa and Europe through the spread of infected vectors. The risk maps elaborated could be useful for disease control and prevention strategies.

Funder

Prima Foundation through the project BlueMed

Publisher

MDPI AG

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