Constantina N. Tsokana

A serosurvey for selected pathogens in Greek European wild boar

Objectives Serum samples, collected from 94 European wild boar (Sus scrofa) during the hunting seasons 2006 -2010 from different regions of Greece, were examined in order to estimate the role of these wildlife species as reservoir of pathogens important for livestock and/or public health. Materials and Methods The assays used for this purpose were commercial indirect ELISA for the detection of antibodies against porcine circovirus type 2 (PCV-2), porcine reproductive and respiratory syndrome (virus) (PRRSV), Aujeszkys disease virus (ADV), influenza A (IA) virus, Actinobacillus pleuropneumoniae, Mycoplasma hyopneumoniae, Salmonella species, Trichinella species and indirect immunofluorescence antibody test for the detection of antibodies against Toxoplasma gondii and Neospora caninum. Results Antibodies against PCV-2, PRRSV, ADV, IA virus,A. pleuropneumoniae, M. hyopneumoniae,Salmonella species, Trichinella species, T. gondii and N. caninum were detected in 19.1 per cent, 12.8 per cent, 35.1 per cent, 1.1 per cent, 57.4 per cent, 0 per cent, 4.3 per cent, 6.4 per cent, 5.2 per cent and 1.1 per cent of the samples, respectively. Cluster analysis revealed a hot spot of seropositivity near Bulgarian border; seropositivity to ADV was more common among female animals. Conclusions These results indicate exposure of wild boar to most of the above-mentioned pathogens, raising concern about the possibility that these species may pose a significant health risk for livestock and/or humans.

Use of wild bird surveillance, human case data and GIS spatial analysis for predicting spatial distributions of West Nile virus in Greece.

West Nile Virus (WNV) is the causative agent of a vector-borne, zoonotic disease with a worldwide distribution. Recent expansion and introduction of WNV into new areas, including southern Europe, has been associated with severe disease in humans and equids, and has increased concerns regarding the need to prevent and control future WNV outbreaks. Since 2010, 524 confirmed human cases of the disease have been reported in Greece with greater than 10% mortality. Infected mosquitoes, wild birds, equids, and chickens have been detected and associated with human disease. The aim of our study was to establish a monitoring system with wild birds and reported human cases data using Geographical Information System (GIS). Potential distribution of WNV was modelled by combining wild bird serological surveillance data with environmental factors (e.g. elevation, slope, land use, vegetation density, temperature, precipitation indices, and population density). Local factors including areas of low altitude and proximity to water were important predictors of appearance of both human and wild bird cases (Odds Ratio = 1,001 95%CI = 0,723–1,386). Using GIS analysis, the identified risk factors were applied across Greece identifying the northern part of Greece (Macedonia, Thrace) western Greece and a number of Greek islands as being at highest risk of future outbreaks. The results of the analysis were evaluated and confirmed using the 161 reported human cases of the 2012 outbreak predicting correctly (Odds = 130/31 = 4,194 95%CI = 2,841–6,189) and more areas were identified for potential dispersion in the following years. Our approach verified that WNV risk can be modelled in a fast cost-effective way indicating high risk areas where prevention measures should be implemented in order to reduce the disease incidence.

Molecular Diagnosis of Leishmaniasis, Species Identification and Phylogenetic Analysis

Leishmaniases are vector-borne infections caused by protozoa of genus Leishmania, affecting various mammals, mainly carnivores and humans. Clinical patent disease is relatively easy to be diagnosed and laboratory-confirmed by direct detection of the parasite in clinical samples. However, in subclinical cases detection of the causative agent is possible by highly sensitive diagnostic techniques such as molecular assays. Different molecular methods have been developed and evaluated including multilocus enzyme electrophoresis, conventional poly‐ merase chain reaction (PCR) based assays, quantitative Real Time PCR as well as simplified PCR methods.

Diagnostic performance of a rapid in-clinic test for the detection of Canine Parvovirus under different storage conditions and vaccination status.

Abstract Canine parvovirus (CPV) is one of the most common causes of acute haemorrhagic enteritis in young dogs, while clinical diagnosis is often indecisive. The aim of our study was to evaluate the diagnostic accuracy of an in-clinic rapid test in the detection of CPV infection in dogs. To this end, we compared the Rapid Diagnostic Kit of Canine Parvovirus, Coronavirus and Rotavirus antigen (Quicking®) to PCR, which is considered as the most reliable diagnostic method. A total of 78 duplicated faecal samples were collected from diarrhoeic dogs. Vaccination history within a month prior to the onset of diarrhoea was reported for 12 of the sampled dogs. The rapid diagnostic test was performed in 23 of the faecal samples directly, while the rest were placed into a sterile cotton tipped swab suitable for collection and transportation of viruses (Sigma Σ-VCM®) and stored at −20°C. The sensitivity of the Quicking rapid diagnostic test compared to PCR in the total number of samples, in samples from non-vaccinated dogs and in samples tested directly after collection were 22.22% (95% CI: 13.27–33.57%), 26.67% (95% CI: 16.08–39.66%) and 76.47% (95% CI: 50.10–93.04%) respectively, while the specificity of the test was 100% in any case. In conclusion, negative results do not exclude parvoenteritis from the differential diagnosis, especially in dogs with early vaccination history, but a positive result almost certainly indicates CPV infection. An improved sensitivity may be expected when the test is performed immediately.

Dissemination of intestinal pathogens between lambs and puppies in sheep farms

Abstract Objectives of the present work were (i) to confirm pathogens implicated in cases of diarrhoea in newborn and young lambs in sheep farms in Greece and (ii) to investigate a possible relation in dissemination of pathogens between lambs and dogs present in the farm. Work was carried out in 22 sheep farms, with (i) flock size over 150 animals, (ii) presence of clinical signs of diarrhoea in lambs in the flock and (iii) close and continuous contact and movement of shepherd dogs within the animal shed of each farm. Faecal sample collection from lambs was performed within 48h of onset of clinical signs and prior to administration of any antimicrobial or antiparasitic medication to lambs. Faecal samples were also collected from puppies in the farm. In total, samples were collected from 126 lambs and 58 puppies. Samples were processed by using established techniques for isolation of bacteria, detection of viruses and observation of protozoan oocycts. Escherichia coli isolates obtained during the study, were tested for antimicrobial resistance against a variety of antimicrobial agents. In total, 236 bacterial isolates were recovered from faecal samples of lambs and 165 isolates from faecal samples of puppies. E. coli was the most frequently isolated microorganism: 104 isolates from lambs and 109 isolates from puppies were recovered. Other bacteria isolated were Enterobacter spp., Proteus spp., Klebsiella spp., (lambs and puppies), Clostridium perfringens, Citrobacter freundi, Salmonella enterica subsp. diarizonae (only lambs) and Streptococcus spp. (only puppies). Group A Rotavirus was detected in samples from lambs (2.5%) and Parvovirus in samples from puppies (5%). Cryptosporidium spp. oocysts were observed in samples from lambs and puppies. This is the first report of isolation of S. enterica subsp. diarizonae and of detection of Rotavirus from lambs in Greece. Rates of E. coli isolates from puppies resistant to antimicrobial agents were, in general, smaller than respective rates in isolates from lambs. Two pairs of isolates from the same farm (one from a lamb and one from a puppy) with identical patterns of resistance to antimicrobial agents were detected, which provides some evidence in support of a hypothesis that members of each pair might possibly have been spread from one animal species to the other.

Rabies outbreak in Greece during 2012–2014: use of Geographical Information System for analysis, risk assessment and control

The objectives of this work were (i) geographical analysis of the 2012-2014 outbreak of rabies in Greece using GIS and (ii) comparative analysis of animal cases with data of potential human exposure to rabies together with environmental data, in order to provide information for risk assessment, effective monitoring and control. Most animal cases (40/48) involved red foxes, while domestic animals were also diagnosed with rabies. Overall, 80% of the cases were diagnosed in central northern Greece; 75% of the cases were diagnosed in low altitudes (<343·5 m), within a distance of 1 km from human settlements. Median distance from livestock farms was 201·25 m. Most people potentially exposed to rabies (889/1060) presented with dog bite injuries. Maximum entropy analysis revealed that distance from farms contributed the highest percentage in defining environmental niche profiles for rabid foxes. Oral vaccination programmes were implemented in 24 administrative units of the country during 2013 and 2014, covering a total surface area of ~60 000 km2. Rabies re-occurrence in Greece emphasizes the need for ongoing surveillance in cross-border areas and in areas with intense human activity.

Histograms of Complete Blood Counts in Dogs: Maximizing Diagnostic Information

ABSTRACT Histograms, which are an integral part of the automated complete blood count, are now available through most of the automatic hematology analyzers used in veterinary clinical practice. Data concerning the size and number of blood cells are graphically presented in histograms, and their variations are also illustrated. Important information that is not apparent from numerical results are sometimes provided by histograms. Histograms are also referred to as frequency distribution curves and are essentially graphs resulting from the placement of the sizes of cells on the x‐axis and the number of cells on the y‐axis. Typically, automated analyzers provide histograms for each class of blood cells, that is, for erythrocytes, leukocytes, and platelets. Thus, when the erythrocyte histogram shows asymmetry with a right shift, it means the size of the erythrocytes is greater than normal (macrocytosis); when it presents a left shift, the size of the erythrocytes is less than normal (microcytosis). When two peaks are found in the curve, two populations of erythrocytes coexist, as in the case of a blood transfusion or therapeutic response. In the leukocyte histogram, three peaks are found: the closest to the y‐axis (left) corresponds to the lymphocytes, the middle to the monocytes, and the right to the polymorphonuclear cells (neutrophils, eosinophils, and basophils). Finally, in platelet histogram, asymmetry with a right shift suggests the presence of giant platelets or schistocytes. Although the histogram is not recommended as a stand‐alone test, it allows the practitioner to observe abnormalities in the distribution curve that correspond to abnormalities in the size or number of cells, and to quickly make diagnostic or therapeutic decisions that are particularly important in emergencies.

Environmental parameters as risk factors for human and canine Leishmania infection in Thessaly, Central Greece.

Thessaly, Central Greece, is an endemic area for leishmaniasis with higher incidence rate during the last years. We herein investigated the geographical distribution of human leishmaniasis cases and Leishmania infected dogs in relation to environmental parameters to identify high-risk areas. All the human leishmaniasis cases (n = 82) reported to Hellenic Centre for Disease Control and Prevention from 2007 to 2014 and 85 Leishmania polymerase chain reaction positive dogs were included in this study. To analyse the data geographical information system (GIS) together with the Ecological Niche Model (ENM) were used. The most important findings of the study were: (i) Central plain of Thessaly together with the coast line and the western and eastern lowlands were identified as high-risk geographical areas. (ii) The highest percentage of the high-risk areas was found in low altitude (<200 m above sea level) and in irrigated and cultivated agricultural areas. (iii) A total of 20% of the human settlements was found in high-risk areas. (iv) The maximum temperature of the warmest month contributes the highest per cent to define both environmental niche profiles for humans and dogs. (v) The ENM could be a useful tool for the epidemiological study of leishmaniasis. Spatial analysis may allow the design of entomological studies and identify target population in order to implement preventive measures.

Resistance in Escherichia coli Strains Isolated from Pig Faecal Samples and Pig farm Workers, Greece

In this study, we compare the degree of antibiotic resistance between the E. coli strains isolated from swine faecal and farm workers. Resistance in nine widely used antibiotics was assessed by the determination of Minimum Inhibitory Concentration. Sixty-four out of 72 E. coli isolates derived from pigs and sixty out of 72 derived from farm workers showed resistance to at least one antibiotic. High resistance in tetracycline, ampicillin and amoxicillin was detected in both human and swine E. coli isolates, showing similar resistance patterns. This finding indicates that the use of antibiotics in pig industry and the increased antibiotic resistance of animal E. coli isolates, also affects the resistance of isolates collected from farm workers, at least in the area of study.