| Literature DB >> 32088933 |
Constantina N Tsokana1, Christos Sokos1, Alexios Giannakopoulos1, Periklis Birtsas2,3, George Valiakos1, Vassiliki Spyrou4, Labrini V Athanasiou5, Angeliki Rodi Burriel6, Charalambos Billinis1.
Abstract
European brown hare (Lepus europaeus, EBH) is probably the most important game animal in Europe throughout its historical distribution. The decline in its populations across its geographic range in Europe have been attributed to factors such as reproductive rate and the ability for adaptation, climate, feed availability, predators, anthropogenic factors and diseases. Apart from common diseases of hares with a high impact on their mortality such as European Brown hare Syndrome, EBH has been involved in the epidemiology of pathogens with zoonotic potential. In this work, the role of EBH as a source of Crimean-Congo haemorrhagic fever virus (CCHFV), Hepatitis E virus (HEV), Yersinia spp., Brucella spp., Francisella tularensis, Toxoplasma gondii and Leishmania infantum is discussed. Hares may significantly contribute to the epidemiology of important emerging zoonotic pathogens through maintenance of high endemicity levels as in the case of CCHFV, as a reservoir of important pathogens such as Yersinia spp., B. suis, F. tularensis and L. infantum and as a potential source of T. gondii for other animals, especially for carnivores but also for humans. However, EBH may also be a host of minor importance as in the case of HEV. The continuous surveillance of hare populations will enable the collection of information on the population health status and the pathogens currently circulating in the area posing risk for wildlife, domestic animals and humans. The possible live animal translocations of infected hares, the fact that this species acts as a host of vectors (fleas, ticks, mosquitoes and sandflies) and the prey of carnivores and omnivores that travel in great distances getting into contact with domestic animals and humans, further highlights the need to be included in surveillance studies. Besides, the hunter-harvested EBH population is an excellent indicator for recent pathogen transmission due to its short lifespan.Entities:
Keywords: zzm321990Brucellazzm321990; zzm321990Francisella tularensiszzm321990; zzm321990Toxoplasma gondiizzm321990; Crimean-Congo haemorrhagic fever virus; Hepatitis E virus; Leishmania spp. Lepus europaeus; Yersinia spp.
Mesh:
Year: 2020 PMID: 32088933 PMCID: PMC7397891 DOI: 10.1002/vms3.248
Source DB: PubMed Journal: Vet Med Sci ISSN: 2053-1095
Selected studies on the prevalence of antibodies against Brucella spp. in Lepus europaeus and the serological methods applied
| Country | Number of samples examined | Method | Percentage | References |
|---|---|---|---|---|
| Schleswig‐Holstein, Germany | 321 | Rose Bengal | 0% | Frandölich et al., |
| Austrian – Czech border region | 384 | Slow agglutination | 3.54% (Austria) | Winkelmayer et al., |
| 0% (Chech) | ||||
| South Moravia, Czech Republic | 1,051 | Slow agglutination | 1.6% | Treml et al., |
| Hungary | 510 | Rose Bengal | 5/510 | Gyuranecz, Erdélyi, et al., |
Selected studies on the prevalence of antibodies against F. tularensis in Le. europaeus and the serological methods applied
| Country | Number of samples examined | Method | Percentage | Reference |
|---|---|---|---|---|
| Austria | 110 | MAT | 4.5% | Höflechner‐Pöltl, Hofer, Awad‐Masalmeh, Müller, & Steineck, |
| Germany | 299 | Western blotting | 0% | Frölich et al., |
| Austrian – Czech border region | 384 | Slow agglutination | 6% | Winkelmayer et al., |
| South Moravia, Czech Republic | 1,051 | Slow agglutination | 6.5% | Treml et al., |
| Hungary | 197 | Agglutination test | 5.1% | Gyuranecz, Erdélyi, et al., |
Selected studies on the prevalence of antibodies against T .gondii in Le. europaeus and the serological methods applied
| Country | Number of samples examined | Method | Percentage | References |
|---|---|---|---|---|
| Sweden | 176 | IFAT, ELISA, DAT, Sabin‐Feldman test | 0% | Gustafsson & Uggla, |
| Schleswig‐Holstein, Germany | 318 | Sabin‐Feldman test | 46% | Frandölich et al., |
| France | 23 | MAT | 9% | Aubert et al., |
| Czech Republic | 333 | IFAT | 21% | Bartova et al., |
| Slovakia | 209 | 6% | ||
| Austria | 383 | 13% | ||
| Italy | 222 | MAT | Ebani et al., | |
| Greece | 105 | IFAT | 5.7% | Tsokana et al., |