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Zdybel S, Sosnowska A, Kowalska D, Sommer J, Conrady B, Mester P, Gromelski M, Puzyn T. Hybrid Machine Learning and Experimental Studies of Antiviral Potential of Ionic Liquids against P100, MS2, and Phi6. J Chem Inf Model 2024; 64:1996-2007. [PMID: 38452014 DOI: 10.1021/acs.jcim.3c02037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
Viruses are a group of widespread organisms that are often responsible for very dangerous diseases, as most of them follow a mechanism to multiply and infect their hosts as quickly as possible. Pathogen viruses also mutate regularly, with the result that measures to prevent virus transmission and recover from the disease caused are often limited. The development of new substances is very time-consuming and highly budgeted and requires the sacrifice of many living organisms. Computational chemistry methods allow faster analysis at a much lower cost and, most importantly, reduce the number of living organisms sacrificed experimentally to a minimum. Ionic liquids (ILs) are a group of chemical compounds that could potentially find a wide range of applications due to their potential virucidal activity. In our study, we conducted a complex computational analysis to predict the antiviral activity of ionic liquids against three surrogate viruses: two nonenveloped viruses, Listeria monocytogenes phage P100 and Escherichia coli phage MS2, and one enveloped virus, Pseudomonas syringae phage Phi6. Based on experimental data of toxic activity (logEC90), we assigned activity classes to 154 ILs. Prediction models were created and validated according to the Organization for Economic Co-operation and Development (OECD) recommendations using the Classification Tree method. Further, we performed an external validation of our models through virtual screening on a set of 1277 theoretically generated ionic liquids and then selected 10 active ionic liquids, which were synthesized to verify their activity against the analyzed viruses. Our study proved the effectiveness and efficiency of computational methods to predict the antiviral activity of ionic liquids. Thus, computational models are a cost-effective alternative approach compared with time-consuming experimental studies where live animals are involved.
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Affiliation(s)
- Szymon Zdybel
- QSAR Lab, ul. Trzy Lipy 3, 80-172 Gdańsk, Poland
- Laboratory of Environmental Chemometrics, Faculty of Chemistry, University of Gdansk, 80-308 Gdańsk, Poland
| | - Anita Sosnowska
- QSAR Lab, ul. Trzy Lipy 3, 80-172 Gdańsk, Poland
- Laboratory of Environmental Chemometrics, Faculty of Chemistry, University of Gdansk, 80-308 Gdańsk, Poland
| | | | - Julia Sommer
- Unit of Food Microbiology, Institute of Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria
| | - Beate Conrady
- Department of Veterinary and Animal Sciences, University of Copenhagen, Grønnegårdsvej 8, 1870 Frederiksberg Campus, Copenhagen DK-1870, Denmark
| | - Patrick Mester
- Unit of Food Microbiology, Institute of Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria
| | | | - Tomasz Puzyn
- QSAR Lab, ul. Trzy Lipy 3, 80-172 Gdańsk, Poland
- Laboratory of Environmental Chemometrics, Faculty of Chemistry, University of Gdansk, 80-308 Gdańsk, Poland
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2
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Pohlin F, Frei C, Meyer LCR, Roch FF, Quijada NM, Conrady B, Neubauer V, Hofmeyr M, Cooper D, Stalder G, Wetzels SU. Capture and transport of white rhinoceroses ( Ceratotherium simum) cause shifts in their fecal microbiota composition towards dysbiosis. Conserv Physiol 2023; 11:coad089. [PMID: 38026796 PMCID: PMC10673814 DOI: 10.1093/conphys/coad089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/09/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023]
Abstract
Translocations of Rhinocerotidae are commonly performed for conservation purposes but expose the animals to a variety of stressors (e.g. prolonged fasting, confinement, novel environment, etc.). Stress may change the composition of gut microbiota, which can impact animal health and welfare. White rhinoceroses in particular can develop anorexia, diarrhea and enterocolitis after translocation. The aim of this study was to investigate the associations of age, sex and translocation on the rhinoceros' fecal bacterial microbiota composition. fecal samples were collected from rhinoceroses at capture (n = 16) and after a >30-hour road transport (n = 7). DNA was isolated from these samples and submitted for 16S rRNA V3-V4 phylotyping. Alpha diversity indices of the rhinoceros' fecal microbiota composition of different age, sex and before and after transport were compared using non-parametric statistical tests and beta diversity indices using Permutational Multivariate Analysis Of Variance (PERMANOVA). Resulting P-values were alpha-corrected (Padj.). Alpha and beta diversity did not differ between rhinoceroses of different age and sex. However, there was a significant difference in beta diversity between fecal samples collected from adult animals at capture and after transport. The most abundant bacterial phyla in samples collected at capture were Firmicutes and Bacteroidetes (85.76%), represented by Lachnospiraceae, Ruminococcaceae and Prevotellaceae families. The phyla Proteobacteria (Padj. = 0.009) and Actinobacteria (Padj. = 0.012), amongst others, increased in relative abundance from capture to after transport encompassing potentially pathogenic bacterial families such as Enterobacteriaceae (Padj. = 0.018) and Pseudomonadaceae (Padj. = 0.022). Important commensals such as Spirochaetes (Padj. = 0.009), Fibrobacteres (Padj. = 0.018) and Lachnospiraceae (Padj. = 0.021) decreased in relative abundance. These results indicate that the stressors associated with capture and transport cause an imbalanced fecal microbiota composition in white rhinoceroses that may lead to potentially infectious intestinal disorders. This imbalance may result from recrudescence of normally innocuous pathogens, increased shedding of pathogens or increased vulnerability to new pathogens.
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Affiliation(s)
- Friederike Pohlin
- Department of Interdisciplinary Life Sciences, Research Institute of Wildlife Ecology, University of Veterinary Medicine Vienna, Savoyenstrasse 1, 1160 Vienna, Austria
- Centre for Veterinary Wildlife Research, Faculty of Veterinary Science, University of Pretoria, Soutpan Road, 0110 Onderstepoort, South Africa
- Department of Paraclinical Sciences, Faculty of Veterinary Science, University of Pretoria, Soutpan Road, 0110 Onderstepoort, South Africa
| | - Carolin Frei
- Department of Interdisciplinary Life Sciences, Research Institute of Wildlife Ecology, University of Veterinary Medicine Vienna, Savoyenstrasse 1, 1160 Vienna, Austria
- Centre for Veterinary Wildlife Research, Faculty of Veterinary Science, University of Pretoria, Soutpan Road, 0110 Onderstepoort, South Africa
- Unit for Food Microbiology, Institute for Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animal and Veterinary Public Health, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria
| | - Leith C R Meyer
- Centre for Veterinary Wildlife Research, Faculty of Veterinary Science, University of Pretoria, Soutpan Road, 0110 Onderstepoort, South Africa
- Department of Paraclinical Sciences, Faculty of Veterinary Science, University of Pretoria, Soutpan Road, 0110 Onderstepoort, South Africa
| | - Franz-Ferdinand Roch
- Unit for Food Microbiology, Institute for Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animal and Veterinary Public Health, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria
| | - Narciso M Quijada
- Unit for Food Microbiology, Institute for Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animal and Veterinary Public Health, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria
- Department of Microbiology and Genetics, Institute for Agribiotechnology Research (CIALE), University of Salamanca, Parque Científico de Villamayor, Calle Río Duero 12, 37185 Villamayor (Salamanca), Spain
| | - Beate Conrady
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 15, 1870 Frederiksberg C, Denmark
- Complexity Science Hub Vienna, Josefstädterstr. 38, 1080 Vienna, Austria
| | - Viktoria Neubauer
- Unit for Food Microbiology, Institute for Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animal and Veterinary Public Health, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria
- FFoQSI - Austrian Competence Centre for Feed and Food Quality, Safety and Innovation, Technopark 1D, 3430 Tulln, Austria
| | - Markus Hofmeyr
- Centre for Veterinary Wildlife Research, Faculty of Veterinary Science, University of Pretoria, Soutpan Road, 0110 Onderstepoort, South Africa
- Department of Paraclinical Sciences, Faculty of Veterinary Science, University of Pretoria, Soutpan Road, 0110 Onderstepoort, South Africa
- Great Plains Conservation and Rhinos Without Borders, Boseja, Maun, Botswana
- Rhino Recovery Fund/Wildlife Conservation Network and Oak Foundation, 1 Kingsway, London WC2B 6AN, United Kingdom
| | - Dave Cooper
- Ezemvelo KZN Wildlife, Cascades 3202, South Africa
| | - Gabrielle Stalder
- Department of Interdisciplinary Life Sciences, Research Institute of Wildlife Ecology, University of Veterinary Medicine Vienna, Savoyenstrasse 1, 1160 Vienna, Austria
| | - Stefanie U Wetzels
- Unit for Food Microbiology, Institute for Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animal and Veterinary Public Health, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria
- FFoQSI - Austrian Competence Centre for Feed and Food Quality, Safety and Innovation, Technopark 1D, 3430 Tulln, Austria
- Tierarztpraxis Brugger, Kitzsteinhornstraße 43, 5700 Zell am See, Austria
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Grohmann M, Grosch J, Conrady B, Schomakers L, Witte AK. Impact on the German asymptomatic screening strategy based on actual user data from SARS-CoV-2 test centers. Sci Rep 2023; 13:19959. [PMID: 37968444 PMCID: PMC10652004 DOI: 10.1038/s41598-023-47262-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 11/10/2023] [Indexed: 11/17/2023] Open
Abstract
Since March 2021, Germany has been providing cost-free severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigen tests, and many day-to-day activities following the lockdown have required negative test results. Yet it remains unclear how tests have been used and whether there are patterns connected to mitigation measures. We analyzed over 50,000 anonymized records from eight test centers in a typical medium-sized city, with one of them remaining open continuously from March until December 2021. The centers exhibit distinct patterns of visitor types, with the majority tested only once in the investigated period. Individuals who underwent repeated testing tended to favor the same location. A preference for spontaneous testing grew in proportion to the availability of spare tests. Visitors aged 18 to 30 years were distinctly overrepresented compared to the local demographic. A negative binominal model showed that implemented mitigation measures had an impact on the number of tests conducted. Cost-free testing in private facilities was implemented into the German complementary screening strategy, aiming to achieve weekly population-wide testing. This study demonstrates these facilities were rarely used for regular testing but rather for meeting requirements of certified tests. The results should aid authorities in making future decisions regarding infection control.
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Affiliation(s)
- Marcus Grohmann
- HTK Hygiene Technologie Kompetenzzentrum GmbH, Buger Str. 80, 96049, Bamberg, Germany
| | - Janina Grosch
- HTK Hygiene Technologie Kompetenzzentrum GmbH, Buger Str. 80, 96049, Bamberg, Germany
| | - Beate Conrady
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 1870, Frederiksberg, Denmark
- Complexity Science Hub Vienna, 1080, Vienna, Austria
| | - Lena Schomakers
- HTK Hygiene Technologie Kompetenzzentrum GmbH, Buger Str. 80, 96049, Bamberg, Germany
| | - Anna Kristina Witte
- HTK Hygiene Technologie Kompetenzzentrum GmbH, Buger Str. 80, 96049, Bamberg, Germany.
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Pearce R, Conrady B, Guardabassi L. Prevalence and Types of Extended-Spectrum β-Lactamase-Producing Bacteria in Retail Seafood. Foods 2023; 12:3033. [PMID: 37628032 PMCID: PMC10453871 DOI: 10.3390/foods12163033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 07/28/2023] [Accepted: 08/09/2023] [Indexed: 08/27/2023] Open
Abstract
Objectives: To assess prevalence and types of extended-spectrum β-lactamase (ESBL)-producing bacteria in retail seafood. Methods: A literature review was completed according to international guidelines for systematic reviews, except for being performed by a single reviewer. Kruskal-Wallis and Dunn tests were used to determine statistical differences between continents or seafood types. Results: Among 12,277 hits, 42 publications from 2011 to 2023 were deemed relevant to the review's objectives. The median prevalence of ESBL-contaminated products was 19.4%. A significantly lower prevalence was observed in Europe (p = 0.006) and Africa (p = 0.004) compared to Asia. Amongst the 2053 isolates analyzed in the selected studies, 44.8% were ESBL-positive. The predominant type was CTX-M (93.6%), followed by TEM (6.7%) and SHV (5.0%). Only 32.6% and 18.5% of the CTX-M-positive isolates were typed to group and gene level, respectively. While group 1 (60.2%) was prevalent over group 9 (39.8%) among Enterobacterales, the opposite trend was observed in Vibrio spp. (60.0% vs. 40.0%). Information at gene level was limited to Enterobacterales, where CTX-M-15 was the most prevalent (79.2%). Conclusions: On average, one in five seafood products sold at retail globally is contaminated with ESBL-producing Enterobacterales of clinical relevance. Our findings highlight a potential risk for consumers of raw seafood, especially in Asia.
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Affiliation(s)
- Ryan Pearce
- Department of Pathobiology and Population Sciences, Royal Veterinary College, London NW1 0TU, UK;
- Department of Veterinary and Animal Sciences, University of Copenhagen, 2600 Copenhagen, Denmark;
| | - Beate Conrady
- Department of Veterinary and Animal Sciences, University of Copenhagen, 2600 Copenhagen, Denmark;
| | - Luca Guardabassi
- Department of Pathobiology and Population Sciences, Royal Veterinary College, London NW1 0TU, UK;
- Department of Veterinary and Animal Sciences, University of Copenhagen, 2600 Copenhagen, Denmark;
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Bakran-Lebl K, Kjær LJ, Conrady B. Predicting Culex pipiens/restuans Population Dynamics Using a Weather-Driven Dynamic Compartmental Population Model. Insects 2023; 14:293. [PMID: 36975978 PMCID: PMC10056620 DOI: 10.3390/insects14030293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 06/18/2023]
Abstract
Mosquitoes of the genus Culex are important vectors of a variety of arthropod-borne viral infections. In most of the northern parts of the USA, Cx. pipiens/restuans is the predominant representative of this genus. As vectors, they play a key role in the spreading of arboviruses and thus, knowledge of the population dynamic of mosquitoes is important to understand the disease ecology of these viruses. As poikilotherm animals, the vital rates of mosquitoes are highly dependent on ambient temperature, and also on precipitation. We present a compartmental model for the population dynamics of Cx. pipiens/restuans. The model is driven by temperature, precipitation, and daytime length (which can be calculated from the geographic latitude). For model evaluation, we used long-term mosquito capture data, which were averaged from multiple sites in Cook County, Illinois. The model fitted the observation data and was able to reproduce between-year differences in the abundance of the Cx. pipiens/restuans mosquitoes, as well as the different seasonal trends. Using this model, we evaluated the effectiveness of targeting different vital rates for mosquito control strategies. The final model is able to reproduce the weekly mean Cx. pipiens/restuans abundance for Cook County with a high accuracy, and over a long time period of 20 years.
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Affiliation(s)
- Karin Bakran-Lebl
- Institute for Medical Microbiology and Hygiene, AGES—Austrian Agency for Health and Food Safety, 1090 Vienna, Austria
| | - Lene Jung Kjær
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg Campus, 1870 Copenhagen, Denmark
| | - Beate Conrady
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg Campus, 1870 Copenhagen, Denmark
- Complexity Science Hub Vienna, 1080 Vienna, Austria
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Conrady B, Mortensen S, Nielsen SS, Houe H, Calvo-Artavia FF, Ellis-Iversen J, Boklund A. Simulation of Foot-and-Mouth Disease Spread and Effects of Mitigation Strategies to Support Veterinary Contingency Planning in Denmark. Pathogens 2023; 12:pathogens12030435. [PMID: 36986357 PMCID: PMC10056164 DOI: 10.3390/pathogens12030435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 03/12/2023] Open
Abstract
To forge a path towards livestock disease emergency preparedness in Denmark, 15 different strategies to mitigate foot-and-mouth disease (FMD) were examined by modelling epidemics initiated in cattle, pig or small ruminant herds across various production systems located in four different Danish regions (Scenario 1), or in one specific livestock production system within each of the three species geographically distributed throughout Denmark (Scenario 2). When additional mitigation strategies were implemented on top of basic control strategies in the European foot-and-mouth disease spread model (EuFMDiS), no significant benefits were predicted in terms of the number of infected farms, the epidemic control duration, and the total economic cost. Further, the model results indicated that the choice of index herd, the resources for outbreak control, and the detection time of FMD significantly influenced the course of an epidemic. The present study results emphasise the importance of basic mitigation strategies, including an effective back-and-forward traceability system, adequate resources for outbreak response, and a high level of awareness among farmers and veterinarians concerning the detection and reporting of FMD at an early stage of an outbreak for FMD control in Denmark.
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Affiliation(s)
- Beate Conrady
- Department of Veterinary and Animal Sciences, University of Copenhagen, 1870 Frederiksberg C, Denmark
- Correspondence: ; Tel.: +45-3532-2309
| | - Sten Mortensen
- Danish Veterinary and Food Administration, 2600 Glostrup, Denmark
| | - Søren Saxmose Nielsen
- Department of Veterinary and Animal Sciences, University of Copenhagen, 1870 Frederiksberg C, Denmark
| | - Hans Houe
- Department of Veterinary and Animal Sciences, University of Copenhagen, 1870 Frederiksberg C, Denmark
| | | | | | - Anette Boklund
- Department of Veterinary and Animal Sciences, University of Copenhagen, 1870 Frederiksberg C, Denmark
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7
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Sigmund M, Egger-Danner C, Firth CL, Obritzhauser W, Roch FF, Conrady B, Wittek T. The effect of antibiotic versus no treatment at dry-off on udder health and milk yield in subsequent lactation: A retrospective analysis of Austrian health recording data from dairy herds. J Dairy Sci 2023; 106:452-461. [PMID: 36333135 DOI: 10.3168/jds.2022-21790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 08/09/2022] [Indexed: 11/07/2022]
Abstract
Bovine mastitis is the most commonly diagnosed disease of dairy cows worldwide and causes extensive economic losses to milk producers. Intramammary infection status before dry-off plays a decisive role with respect to udder health and milk yield in the subsequent lactation. The aim of this study was to compare the effect of antibiotic dry cow therapy (DCT) versus no treatment at dry-off on milk yield, somatic cell count (SCC), inflammation of the mammary gland (IMG), and the incidence of clinical mastitis in the subsequent lactation. Dairy herd data from 251 Austrian dairy farms were recorded over an observation period of 12 mo and subsequently analyzed. The data set included 5,018 dairy cows: 2,078 were treated with antibiotics (abDCT group) and 2,940 were not treated (noDCT group) at dry-off. The abDCT group was subdivided, based on the antimicrobial active substances used for drying off, into 4 different groups (penicillins, cloxacillin, cephalosporins, and rifaximin). Based on bacteriological culture results, infections were grouped into those caused by major, minor, and other pathogens. Additionally, the IMG was defined via SCC from milk recording data using a cutoff of 200,000 cells/mL before drying off and after calving. The incidence of clinical mastitis cases within 30 and 90 d in milk was calculated using veterinary diagnosis data. To investigate the effect of different dry cow therapies on the following parameters: milk yield, SCC, and diagnosed clinical mastitis cases, different linear mixed models were constructed. Overall, the abDCT group was determined to have a significantly higher milk yield over 305 d in milk in the subsequent lactation (increase of 6.18%), compared with the noDCT group (increase of 4.29%). Both groups (abDCT and noDCT) demonstrated a decrease in the first SCC after calving compared with the SCC before dry-off, although the treated cows had a significantly higher reduction. Regarding the different antibiotic groups, with exception of the rifaximin treated cows, all antibiotic groups showed a significant difference from not treated cows with respect to SCC. Additionally, we were able to demonstrate that cows with IMG before dry-off had a 2.073 times higher chance of an increased SCC (>200,000 cells/mL) after calving. With respect to the veterinary diagnosis data, neither the IMG before drying off nor the type of DCT had a significant influence on the probability of developing clinical mastitis within 30 or 90 d in milk. Only a small number of treatments was accompanied with a bacteriological examination before drying off. However, the existing data in this study indicates that the intramammary infection status before dry-off in combination with different dry cow treatments influences udder health and milk yield after calving. Nevertheless, further studies with larger data sets of bacteriological examinations are necessary to enable a more in-depth investigation into the effects of different antibiotic substances used for DCT.
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Affiliation(s)
- M Sigmund
- University Clinic for Ruminants, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, 1210 Vienna, Austria.
| | - C Egger-Danner
- ZuchtData-EDV-Dienstleistungen GmbH, 1200 Vienna, Austria
| | - C L Firth
- Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, 1210 Vienna, Austria
| | | | - F F Roch
- Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, 1210 Vienna, Austria; Unit of Food Microbiology, Institute of Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, 1210 Vienna, Austria
| | - B Conrady
- Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, 1210 Vienna, Austria; Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 1870 Frederiksberg C, Denmark; Complexity Science Hub Vienna, 1080 Vienna, Austria
| | - T Wittek
- University Clinic for Ruminants, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, 1210 Vienna, Austria
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8
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Hodnik JJ, Acinger-Rogić Ž, Alishani M, Autio T, Balseiro A, Berezowski J, Carmo LP, Chaligiannis I, Conrady B, Costa L, Cvetkovikj I, Davidov I, Dispas M, Djadjovski I, Duarte EL, Faverjon C, Fourichon C, Frössling J, Gerilovych A, Gethmann J, Gomes J, Graham D, Guelbenzu M, Gunn GJ, Henry MK, Hopp P, Houe H, Irimia E, Ježek J, Juste RA, Kalaitzakis E, Kaler J, Kaplan S, Kostoulas P, Kovalenko K, Kneževič N, Knific T, Koleci X, Madouasse A, Malakauskas A, Mandelik R, Meletis E, Mincu M, Mõtus K, Muñoz-Gómez V, Niculae M, Nikitović J, Ocepek M, Tangen-Opsal M, Ózsvári L, Papadopoulos D, Papadopoulos T, Pelkonen S, Polak MP, Pozzato N, Rapaliuté E, Ribbens S, Niza-Ribeiro J, Roch FF, Rosenbaum Nielsen L, Saez JL, Nielsen SS, van Schaik G, Schwan E, Sekovska B, Starič J, Strain S, Šatran P, Šerić-Haračić S, Tamminen LM, Thulke HH, Toplak I, Tuunainen E, Verner S, Vilček Š, Yildiz R, Santman-Berends IMGA. Corrigendum: Overview of Cattle Diseases Listed Under Category C, D or E in the Animal Health Law for Which Control Programmes Are in Place Within Europe. Front Vet Sci 2022; 9:902559. [PMID: 35529840 PMCID: PMC9070405 DOI: 10.3389/fvets.2022.902559] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 03/23/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Jaka Jakob Hodnik
- Clinic for Reproduction and Large Animals - Section for Ruminants, Veterinary Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Žaklin Acinger-Rogić
- Veterinary and Food Safety Directorate, Ministry of Agriculture, Zagreb, Croatia
| | - Mentor Alishani
- Department of Veterinary Medicine, Faculty of Agriculture and Veterinary, University of Prishtina "Hasan Prishtina", Prishtina, Albania
| | - Tiina Autio
- Finnish Food Authority, Veterinary Bacteriology and Pathology Unit, Kuopio, Finland
| | - Ana Balseiro
- Animal Health Department, University of León, León, Spain.,Animal Health Department, Instituto de Ganadería de Montaña Consejo Superior de Investigaciones Científicas-University of León, León, Spain
| | - John Berezowski
- Veterinary Public Health Institute, Vetsuisse, University of Bern, Bern, Switzerland
| | - Luís Pedro Carmo
- Veterinary Public Health Institute, Vetsuisse, University of Bern, Bern, Switzerland
| | - Ilias Chaligiannis
- School of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Beate Conrady
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Complexity Science Hub Vienna, Vienna, Austria
| | - Lina Costa
- Department of Agrarian and Veterinary Sciences, Agrarian School of Elvas, Polytechnic Institute of Portalegre, Portalegre, Portugal
| | - Iskra Cvetkovikj
- Faculty of Veterinary Medicine in Skopje, Ss Cyril and Methodius University in Skopje, Skopje, Macedonia
| | - Ivana Davidov
- Faculty of Agriculture, University of Novi Sad, Novi Sad, Serbia
| | | | - Igor Djadjovski
- Faculty of Veterinary Medicine in Skopje, Ss Cyril and Methodius University in Skopje, Skopje, Macedonia
| | - Elsa Leclerc Duarte
- Departamento de Medicina Veterinária, Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Évora, Portugal
| | | | | | - Jenny Frössling
- Department of Disease Control and Epidemiology, National Veterinary Institute (SVA), Uppsala, Sweden.,Department of Animal Environment and Health, Swedish University of Agricultural Sciences, Skara, Sweden
| | - Anton Gerilovych
- National Scientific Centre, Institute for Experimental and Clinical Veterinary Medicine, Kharkiv, Ukraine
| | - Jörn Gethmann
- Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Greifswald, Germany
| | - Jacinto Gomes
- Animal Health and Production Unit, National Institute for Agrarian and Veterinary Research, Oeiras, Portugal
| | - David Graham
- Animal Health Ireland, Carrick on Shannon, Ireland
| | | | - George J Gunn
- Epidemiology Research Unit, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College, Inverness, United Kingdom
| | - Madeleine K Henry
- Epidemiology Research Unit, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College, Inverness, United Kingdom
| | - Petter Hopp
- Section of Epidemiology, Norwegian Veterinary Institute (NVI), Oslo, Norway
| | - Hans Houe
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Elena Irimia
- Research and Development Institute for Bovine Balotesti, Balotesti, Romania
| | - Jožica Ježek
- Clinic for Reproduction and Large Animals - Section for Ruminants, Veterinary Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Ramon A Juste
- Department of Animal Health, NEIKER-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance, Derio, Spain
| | - Emmanouil Kalaitzakis
- Clinic of Farm Animals, Veterinary Faculty, Aristotle University Thessaloniki, Thessaloniki, Greece
| | - Jasmeet Kaler
- School of Veterinary Medicine and Science, University of Nottingham, Nottingham, United Kingdom
| | - Selcuk Kaplan
- Department of Genetics, Faculty of Veterinary Medicine, Tekirdag Namik Kemal University, Tekirdag, Turkey
| | - Polychronis Kostoulas
- Laboratory of Epidemiology, Faculty of Public and One (Integrated) Health, School of Health Sciences, University of Thessaly, Karditsa, Greece
| | - Kaspars Kovalenko
- Faculty of Veterinary Medicine, Latvia University of Lifesciences and Technologies, Jelgava, Latvia
| | - Nada Kneževič
- Podravka Food Industry, Research and Development, Koprivnica, Croatia
| | - Tanja Knific
- Veterinary Faculty, Institute of Food Safety, Feed and Environment, University of Ljubljana, Ljubljana, Slovenia
| | - Xhelil Koleci
- Department of Veterinary Public Health, Faculty of Veterinary Medicine, Agricultural University of Tirana, Tirana, Albania
| | | | - Alvydas Malakauskas
- Department of Veterinary Pathobiology, Lithuanian University of Health Sciences, Veterinary Academy, Kaunas, Lithuania
| | - Rene Mandelik
- Department of Epizootiology, Parasitology and Protection of One Health, University of Veterinary Medicine and Pharmacy, Kosice, Slovakia
| | - Eleftherios Meletis
- Laboratory of Epidemiology, Faculty of Public and One (Integrated) Health, School of Health Sciences, University of Thessaly, Karditsa, Greece
| | - Madalina Mincu
- Research and Development Institute for Bovine Balotesti, Balotesti, Romania
| | - Kerli Mõtus
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu, Estonia
| | - Violeta Muñoz-Gómez
- Section of Epidemiology, Vetsuisse Faculty, University of Zürich, Zurich, Switzerland
| | - Mihaela Niculae
- Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Cluj-Napoca, Romania
| | - Jelena Nikitović
- Institute for Genetic Resources, University of Banja Luka, Banja Luka, Bosnia and Herzegovina
| | - Matjaž Ocepek
- Veterinary Faculty, National Veterinary Institute, University of Ljubljana, Ljubljana, Slovenia
| | | | - László Ózsvári
- Department of Veterinary Forensics and Economics, University of Veterinary Medicine Budapest, Budapest, Hungary
| | - Dimitrios Papadopoulos
- Department of Microbiology, Faculty of Veterinary Medicine, Aristoteles University of Thessaloniki, Thessaloniki, Greece
| | - Theofilos Papadopoulos
- Department of Microbiology, Faculty of Veterinary Medicine, Aristoteles University of Thessaloniki, Thessaloniki, Greece
| | - Sinikka Pelkonen
- Finnish Food Authority, Veterinary Bacteriology and Pathology Unit, Kuopio, Finland
| | | | - Nicola Pozzato
- Laboratorio di Medicina Forense Veterinaria, Struttura Complessa Territoriale 1 - Verona e Vicenza, Istituto Zooprofilattico Sperimentale Delle Venezie, Vicenza, Italy
| | - Eglé Rapaliuté
- Department of Veterinary Pathobiology, Lithuanian University of Health Sciences, Veterinary Academy, Kaunas, Lithuania
| | | | - João Niza-Ribeiro
- Department of Population Studies, Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal
| | - Franz-Ferdinand Roch
- Unit of Food Microbiology, Institute for Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Liza Rosenbaum Nielsen
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jose Luis Saez
- Ministry of Agriculture, Fisheries and Food, Madrid, Spain
| | - Søren Saxmose Nielsen
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Gerdien van Schaik
- Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.,Royal GD, Deventer, Netherlands
| | | | - Blagica Sekovska
- Faculty of Veterinary Medicine in Skopje, Ss Cyril and Methodius University in Skopje, Skopje, Macedonia
| | - Jože Starič
- Clinic for Reproduction and Large Animals - Section for Ruminants, Veterinary Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Sam Strain
- Animal Health and Welfare Northern Ireland, Dungannon, United Kingdom
| | - Petr Šatran
- State Veterinary Administration, Prague, Czechia
| | - Sabina Šerić-Haračić
- Animal Health Economics Department, Veterinary Faculty of the University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | | | - Hans-Hermann Thulke
- Department of Ecological Modelling, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Ivan Toplak
- Department of Virology, Veterinary Faculty, Institute of Microbiology and Parasitology, University of Ljubljana, Ljubljana, Slovenia
| | | | - Sharon Verner
- Animal Health and Welfare Northern Ireland, Dungannon, United Kingdom
| | - Štefan Vilček
- Department of Epizootiology, Parasitology and Protection of One Health, University of Veterinary Medicine and Pharmacy, Kosice, Slovakia
| | - Ramazan Yildiz
- Department of Internal Medicine, Faculty of Veterinary Medicine, Burdur Mehmet Akif Ersoy University, Burdur, Turkey
| | - Inge M G A Santman-Berends
- Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.,Royal GD, Deventer, Netherlands
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9
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Witte AK, Grosch J, Conrady B, Schomakers L, Grohmann M. Free PoC Testing for SARS-CoV-2 in Germany: Factors Expanding Access to Various Communities in a Medium-Sized City. Int J Environ Res Public Health 2022; 19:ijerph19084721. [PMID: 35457587 PMCID: PMC9027734 DOI: 10.3390/ijerph19084721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/07/2022] [Accepted: 04/12/2022] [Indexed: 12/10/2022]
Abstract
During the third wave of the COVID-19 (coronavirus disease 2019) pandemic in Germany, free SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) point-of-care (PoC) antigen tests were offered to citizens at least once a week to prevent spreading by asymptomatic infected individuals. This study investigated user groups, timing, frequency, and test center locations in a typical medium-sized European city. We analyzed 27,369 pseudonymized datasets from eight centers over 12 weeks. Those were evaluated according to age, residence, appointment, and potential repeated test occurrence. The centers were visited by different groups; some centers were preferred by a predominantly younger demographic, whereas a mobile option attracted an older age group by reaching districts with few other testing possibilities. Elderly individuals were tested more spontaneously than younger individuals, and a test center at a ‘park and ride’ had more spontaneous visitors from outside of the city compared to other test locations. Only a small proportion of less than 4% came for testing more than five times. To preferably address many people for voluntary antigen testing, it is crucial to offer different test opportunities accounting for individual behavioral patterns, despite this requiring more complex and costly design than conventional forms.
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Affiliation(s)
- Anna Kristina Witte
- HTK Hygiene Technologie Kompetenzzentrum GmbH, Heinrichstr. 6, 96047 Bamberg, Germany; (J.G.); (L.S.); (M.G.)
- Correspondence:
| | - Janina Grosch
- HTK Hygiene Technologie Kompetenzzentrum GmbH, Heinrichstr. 6, 96047 Bamberg, Germany; (J.G.); (L.S.); (M.G.)
| | - Beate Conrady
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 1870 Frederiksberg, Denmark;
- Complexity Science Hub Vienna, 1080 Vienna, Austria
| | - Lena Schomakers
- HTK Hygiene Technologie Kompetenzzentrum GmbH, Heinrichstr. 6, 96047 Bamberg, Germany; (J.G.); (L.S.); (M.G.)
| | - Marcus Grohmann
- HTK Hygiene Technologie Kompetenzzentrum GmbH, Heinrichstr. 6, 96047 Bamberg, Germany; (J.G.); (L.S.); (M.G.)
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10
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Burgstaller J, Wittek T, Sudhaus-Jörn N, Conrady B. Associations between Animal Welfare Indicators and Animal-Related Factors of Slaughter Cattle in Austria. Animals (Basel) 2022; 12:ani12050659. [PMID: 35268227 PMCID: PMC8909719 DOI: 10.3390/ani12050659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 03/02/2022] [Accepted: 03/03/2022] [Indexed: 11/22/2022] Open
Abstract
Simple Summary The aims of this study were (1) to evaluate the prevalence of lameness, dirtiness of the body surface, and abomasal disorders of slaughter cattle; and (2) to determine the association between these welfare indicators and animal-related factors (e.g., housing type, carcass weight, and transportation and waiting duration of the animals). In contrast to dirtiness (level of contamination of the body surface, also referred to as cleanliness) and the prevalence of abomasal disorders, the determined lameness prevalence was very low. The husbandry of cattle was identified as a significant influencing factor for both the dirtiness and occurrence of abomasal disorders of slaughter cattle. Abstract Three cattle welfare indicators (lameness, dirtiness, and abomasal disorders) were evaluated in 412 slaughter cattle in a cross-sectional study in Austria. The aims of this study were (1) to evaluate the prevalence of lameness, dirtiness of slaughter cattle, and abomasal disorders; and (2) to determine the association between these welfare indicators and animal-related factors (e.g., housing type, carcass weight, transportation and waiting duration of the animals). The lameness prevalence was 0.73%, the abomasal disorders prevalence was 52.43%, and 88.59% of all cattle were contaminated. The latter result indicates that the cattle were kept in a dirty environment. The occurrence of abomasal disorders was associated with cattle housing systems (p ≤ 0.00) and slaughter weight (p = 0.03). The odds for abomasal disorders were 28.0 times higher for cattle housed on slatted flooring compared to cattle kept in a tethered system. The chance for occurrence of abomasal disorders was 3.6 times higher for cattle with a low carcass weight compared to cattle with a high carcass weight. Furthermore, significant associations were found between dirtiness (also referred to as cleanliness or contamination) and husbandry system, sex, and breed. Cattle housed in deep litter boxes had 40.8 times higher odds of being contaminated compared to cattle in a tethered housing system. Cows (odds: 32.9) and heifers (odds: 4.4) had higher odds of being contaminated with feces compared to bulls, whereby female calves (odds: 0.09) and male calves (odds: 0.02) had significantly lower odds of being contaminated. Furthermore, the breeds Brown Swiss (odds: 0.26) and Holstein-Friesian (odds: 0.14) had a significantly lower chance of being contaminated compared to Simmental cattle. Other collected factors, such as production system, transportation duration, life days of the cattle, average daily weight gain, carcass classification, and fat coverage, showed no association with the collected welfare indicators. The study presented here indicates that welfare indicators evaluated for slaughter cattle are suitable to assess cattle welfare, and improvements in husbandry may positively impact both the abomasal physiology and cleanliness of cattle.
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Affiliation(s)
| | - Thomas Wittek
- Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, 1210 Vienna, Austria;
| | - Nadine Sudhaus-Jörn
- Institute of Food Quality and Safety, University of Veterinary Medicine Hannover, 30173 Hannover, Germany;
| | - Beate Conrady
- Department of Veterinary and Animal Sciences, University of Copenhagen, 1870 Frederiksberg C, Denmark
- Complexity Science Hub Vienna, 1080 Vienna, Austria
- Correspondence:
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11
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Abstract
[This corrects the article DOI: 10.3389/fvets.2021.689244.].
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Affiliation(s)
- Franz-Ferdinand Roch
- Department for Farm Animals and Veterinary Public Health, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria
| | - Beate Conrady
- Department for Farm Animals and Veterinary Public Health, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria.,Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark.,Complexity Science Hub Vienna, Vienna, Austria
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12
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Selberherr E, Penz T, König L, Conrady B, Siegl A, Horn M, Schmitz-Esser S. The life cycle-dependent transcriptional profile of the obligate intracellular amoeba symbiont Amoebophilus asiaticus. FEMS Microbiol Ecol 2022; 98:6499296. [PMID: 34999767 PMCID: PMC8831229 DOI: 10.1093/femsec/fiac001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/22/2021] [Accepted: 01/04/2022] [Indexed: 12/04/2022] Open
Abstract
Free-living amoebae often harbor obligate intracellular bacterial symbionts. Amoebophilus (A.) asiaticus is a representative of a lineage of amoeba symbionts in the phylum Bacteroidota. Here, we analyse the transcriptome of A. asiaticus strain 5a2 at four time points during its infection cycle and replication within the Acanthamoeba host using RNA sequencing. Our results reveal a dynamic transcriptional landscape throughout different A. asiaticus life cycle stages. Many intracellular bacteria and pathogens utilize eukaryotic-like proteins (ELPs) for host cell interaction and the A. asiaticus 5a2 genome shows a particularly high abundance of ELPs. We show the expression of all genes encoding ELPs and found many ELPs to be differentially expressed. At the replicative stage of A. asiaticus, ankyrin repeat proteins and tetratricopeptide/Sel1-like repeat proteins were upregulated. At the later time points, high expression levels of a type 6 secretion system that likely prepares for a new infection cycle after lysing its host, were found. This study reveals comprehensive insights into the intracellular lifestyle of A. asiaticus and highlights candidate genes for host cell interaction. The results from this study have implications for other intracellular bacteria such as other amoeba-associated bacteria and the arthropod symbionts Cardinium forming the sister lineage of A. asiaticus.
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Affiliation(s)
- E Selberherr
- Unit of Food Microbiology, Institute of Food Safety, Food Technology and Veterinary Public Health, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, Austria
| | - T Penz
- Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria.,current affiliation: CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - L König
- Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
| | - B Conrady
- Department of Veterinary and Animal Science, University of Copenhagen, Denmark
| | - A Siegl
- Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
| | - M Horn
- Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
| | - S Schmitz-Esser
- Department of Animal Science, Iowa State University, Ames, USA
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13
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Conrady B, Decaro N, Graham D, Ridpath JF, Santman-Berends I, Strain S, Gethmann J, Schweizer M. Editorial: Global Control and Eradication Programmes for Cattle Diseases. Front Vet Sci 2021; 8:806111. [PMID: 34926650 PMCID: PMC8677940 DOI: 10.3389/fvets.2021.806111] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 11/16/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Beate Conrady
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Complexity Science Hub Vienna, Vienna, Austria
| | - Nicola Decaro
- Department of Veterinary Medicine, University of Bari Aldo Moro, Valenzano, Italy
| | | | | | - Inge Santman-Berends
- Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.,Royal GD, Deventer, Netherlands
| | - Sam Strain
- Animal Health and Welfare Northern Ireland, Dungannon, United Kingdom
| | - Jörn Gethmann
- Friedrich-Loeffler-Institute, Federal Research Institute for Animal Health, Institute of Epidemiology, Greifswald, Germany
| | - Matthias Schweizer
- Institute of Virology and Immunology, Bern, Switzerland.,Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
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14
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Marschik T, Kopacka I, Stockreiter S, Schmoll F, Hiesel J, Höflechner-Pöltl A, Käsbohrer A, Conrady B. What Are the Human Resources Required to Control a Foot-and-Mouth Disease Outbreak in Austria? Front Vet Sci 2021; 8:727209. [PMID: 34778427 PMCID: PMC8580879 DOI: 10.3389/fvets.2021.727209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 10/04/2021] [Indexed: 11/23/2022] Open
Abstract
Contingency planning allows veterinary authorities to prepare a rapid response in the event of a disease outbreak. A recently published foot-and-mouth disease (FMD) simulation study indicated concerns whether capacity was sufficient to control a potential FMD epidemic in Austria. The objectives of the study presented here were to estimate the human resources required to implement FMD control measures and to identify areas of the operational activities that could potentially delay successful control of the disease. The stochastic spatial simulation model EuFMDiS (The European Foot-and-Mouth Disease Spread Model) was used to simulate a potential FMD outbreak and its economic impact, including different control scenarios based on variations of culling, vaccination, and pre-emptive depopulation. In this context, the utilization of human resources was assessed based on the associated EuFMDiS output regarding the performance of operational activities. The assessments show that the number of personnel needed in an outbreak with a stamping-out policy would reach the peak at the end of the second week of control with a median of 540 (257–926) individuals, out of which 31% would be veterinarians. Approximately 58% of these human resources would be attributable to surveillance, followed by staff for cleaning and disinfection activities. Our analysis demonstrates that, of the operational activities, surveillance personnel were the largest factor influencing the magnitude of the outbreak. The aim of the assessment presented here is to assist veterinary authorities in the contingency planning of required human resources to respond effectively to an outbreak of animal diseases such as FMD.
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Affiliation(s)
- Tatiana Marschik
- Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria.,Division for Animal Health, Austrian Agency for Health and Food Safety, Mödling, Austria
| | - Ian Kopacka
- Division for Data, Statistics and Risk Assessment, Austrian Agency for Health and Food Safety, Graz, Austria
| | - Simon Stockreiter
- Department for Animal Health and Animal Disease Control, Federal Ministry of Labour, Social Affairs, Health and Consumer Protection, Vienna, Austria
| | - Friedrich Schmoll
- Division for Animal Health, Austrian Agency for Health and Food Safety, Mödling, Austria
| | - Jörg Hiesel
- Department of Veterinary Administration, Styrian Provincial Government, Graz, Austria
| | - Andrea Höflechner-Pöltl
- Department for Animal Health and Animal Disease Control, Federal Ministry of Labour, Social Affairs, Health and Consumer Protection, Vienna, Austria
| | - Annemarie Käsbohrer
- Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria
| | - Beate Conrady
- Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria.,Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Complexity Science Hub, Vienna, Austria
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15
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Conrady B. Epidemiological, Mitigation and Economic Impact of Zoonoses. Int J Environ Res Public Health 2021; 18:ijerph182111704. [PMID: 34770218 PMCID: PMC8582836 DOI: 10.3390/ijerph182111704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 10/30/2021] [Indexed: 11/22/2022]
Affiliation(s)
- Beate Conrady
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 1870 Copenhagen, Denmark;
- Complexity Science Hub Vienna, 1080 Vienna, Austria
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16
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Hodnik JJ, Acinger-Rogić Ž, Alishani M, Autio T, Balseiro A, Berezowski J, Carmo LP, Chaligiannis I, Conrady B, Costa L, Cvetkovikj I, Davidov I, Dispas M, Djadjovski I, Duarte EL, Faverjon C, Fourichon C, Frössling J, Gerilovych A, Gethmann J, Gomes J, Graham D, Guelbenzu M, Gunn GJ, Henry MK, Hopp P, Houe H, Irimia E, Ježek J, Juste RA, Kalaitzakis E, Kaler J, Kaplan S, Kostoulas P, Kovalenko K, Kneževič N, Knific T, Koleci X, Madouasse A, Malakauskas A, Mandelik R, Meletis E, Mincu M, Mõtus K, Muñoz-Gómez V, Niculae M, Nikitović J, Ocepek M, Tangen-Opsal M, Ózsvári L, Papadopoulos D, Papadopoulos T, Pelkonen S, Polak MP, Pozzato N, Rapaliuté E, Ribbens S, Niza-Ribeiro J, Roch FF, Rosenbaum Nielsen L, Saez JL, Nielsen SS, van Schaik G, Schwan E, Sekovska B, Starič J, Strain S, Šatran P, Šerić-Haračić S, Tamminen LM, Thulke HH, Toplak I, Tuunainen E, Verner S, Vilček Š, Yildiz R, Santman-Berends IMGA. Overview of Cattle Diseases Listed Under Category C, D or E in the Animal Health Law for Which Control Programmes Are in Place Within Europe. Front Vet Sci 2021; 8:688078. [PMID: 34395571 PMCID: PMC8361752 DOI: 10.3389/fvets.2021.688078] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/01/2021] [Indexed: 12/20/2022] Open
Abstract
The COST action “Standardising output-based surveillance to control non-regulated diseases of cattle in the European Union (SOUND control),” aims to harmonise the results of surveillance and control programmes (CPs) for selected cattle diseases to facilitate safe trade and improve overall control of cattle infectious diseases. In this paper we aimed to provide an overview on the diversity of control for these diseases in Europe. A selected cattle disease was defined as an infectious disease of cattle with no or limited control at EU level, which is not included in the European Union Animal health law Categories A or B under Commission Implementing Regulation (EU) 2020/2002. A CP was defined as surveillance and/or intervention strategies designed to lower the incidence, prevalence, mortality or prove freedom from a specific disease in a region or country. Passive surveillance, and active surveillance of breeding bulls under Council Directive 88/407/EEC were not considered as CPs. A questionnaire was designed to obtain country-specific information about CPs for each disease. Animal health experts from 33 European countries completed the questionnaire. Overall, there are 23 diseases for which a CP exists in one or more of the countries studied. The diseases for which CPs exist in the highest number of countries are enzootic bovine leukosis, bluetongue, infectious bovine rhinotracheitis, bovine viral diarrhoea and anthrax (CPs reported by between 16 and 31 countries). Every participating country has on average, 6 CPs (min–max: 1–13) in place. Most programmes are implemented at a national level (86%) and are applied to both dairy and non-dairy cattle (75%). Approximately one-third of the CPs are voluntary, and the funding structure is divided between government and private resources. Countries that have eradicated diseases like enzootic bovine leukosis, bluetongue, infectious bovine rhinotracheitis and bovine viral diarrhoea have implemented CPs for other diseases to further improve the health status of cattle in their country. The control of the selected cattle diseases is very heterogenous in Europe. Therefore, the standardising of the outputs of these programmes to enable comparison represents a challenge.
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Affiliation(s)
- Jaka Jakob Hodnik
- Clinic for Reproduction and Large Animals - Section for Ruminants, Veterinary Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Žaklin Acinger-Rogić
- Veterinary and Food Safety Directorate, Ministry of Agriculture, Zagreb, Croatia
| | - Mentor Alishani
- Department of Veterinary Medicine, Faculty of Agriculture and Veterinary, University of Prishtina "Hasan Prishtina", Prishtina, Albania
| | - Tiina Autio
- Finnish Food Authority, Veterinary Bacteriology and Pathology Unit, Kuopio, Finland
| | - Ana Balseiro
- Animal Health Department, University of León, León, Spain.,Animal Health Department, Instituto de Ganadería de Montaña Consejo Superior de Investigaciones Científicas-University of León, León, Spain
| | - John Berezowski
- Veterinary Public Health Institute, Vetsuisse, University of Bern, Bern, Switzerland
| | - Luís Pedro Carmo
- Veterinary Public Health Institute, Vetsuisse, University of Bern, Bern, Switzerland
| | - Ilias Chaligiannis
- School of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Beate Conrady
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Complexity Science Hub Vienna, Vienna, Austria
| | - Lina Costa
- Department of Agrarian and Veterinary Sciences, Agrarian School of Elvas, Polytechnic Institute of Portalegre, Portalegre, Portugal
| | - Iskra Cvetkovikj
- Faculty of Veterinary Medicine in Skopje, Ss Cyril and Methodius University in Skopje, Skopje, Macedonia
| | - Ivana Davidov
- Faculty of Agriculture, University of Novi Sad, Novi Sad, Serbia
| | | | - Igor Djadjovski
- Faculty of Veterinary Medicine in Skopje, Ss Cyril and Methodius University in Skopje, Skopje, Macedonia
| | - Elsa Leclerc Duarte
- Departamento de Medicina Veterinária, Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Évora, Portugal
| | | | | | - Jenny Frössling
- Department of Disease Control and Epidemiology, National Veterinary Institute (SVA), Uppsala, Sweden.,Department of Animal Environment and Health, Swedish University of Agricultural Sciences, Skara, Sweden
| | - Anton Gerilovych
- National Scientific Centre, Institute for Experimental and Clinical Veterinary Medicine, Kharkiv, Ukraine
| | - Jörn Gethmann
- Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Greifswald, Germany
| | - Jacinto Gomes
- Animal Health and Production Unit, National Institute for Agrarian and Veterinary Research, Oeiras, Portugal
| | - David Graham
- Animal Health Ireland, Carrick on Shannon, Ireland
| | | | - George J Gunn
- Epidemiology Research Unit, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College, Inverness, United Kingdom
| | - Madeleine K Henry
- Epidemiology Research Unit, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College, Inverness, United Kingdom
| | - Petter Hopp
- Section of Epidemiology, Norwegian Veterinary Institute (NVI), Oslo, Norway
| | - Hans Houe
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Elena Irimia
- Research and Development Institute for Bovine Balotesti, Balotesti, Romania
| | - Jožica Ježek
- Clinic for Reproduction and Large Animals - Section for Ruminants, Veterinary Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Ramon A Juste
- Department of Animal Health, NEIKER-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance, Derio, Spain
| | - Emmanouil Kalaitzakis
- Clinic of Farm Animals, Veterinary Faculty, Aristotle University Thessaloniki, Thessaloniki, Greece
| | - Jasmeet Kaler
- School of Veterinary Medicine and Science, University of Nottingham, Nottingham, United Kingdom
| | - Selcuk Kaplan
- Department of Genetics, Faculty of Veterinary Medicine, Tekirdag Namik Kemal University, Tekirdag, Turkey
| | - Polychronis Kostoulas
- Laboratory of Epidemiology, Faculty of Public and One (Integrated) Health, School of Health Sciences, University of Thessaly, Karditsa, Greece
| | - Kaspars Kovalenko
- Faculty of Veterinary Medicine, Latvia University of Lifesciences and Technologies, Jelgava, Latvia
| | - Nada Kneževič
- Podravka Food Industry, Research and Development, Koprivnica, Croatia
| | - Tanja Knific
- Veterinary Faculty, Institute of Food Safety, Feed and Environment, University of Ljubljana, Ljubljana, Slovenia
| | - Xhelil Koleci
- Department of Veterinary Public Health, Faculty of Veterinary Medicine, Agricultural University of Tirana, Tirana, Albania
| | | | - Alvydas Malakauskas
- Department of Veterinary Pathobiology, Lithuanian University of Health Sciences, Veterinary Academy, Kaunas, Lithuania
| | - Rene Mandelik
- Department of Epizootiology, Parasitology and Protection of One Health, University of Veterinary Medicine and Pharmacy, Kosice, Slovakia
| | - Eleftherios Meletis
- Laboratory of Epidemiology, Faculty of Public and One (Integrated) Health, School of Health Sciences, University of Thessaly, Karditsa, Greece
| | - Madalina Mincu
- Research and Development Institute for Bovine Balotesti, Balotesti, Romania
| | - Kerli Mõtus
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu, Estonia
| | - Violeta Muñoz-Gómez
- Section of Epidemiology, Vetsuisse Faculty, University of Zürich, Zürich, Switzerland
| | - Mihaela Niculae
- Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Cluj-Napoca, Romania
| | - Jelena Nikitović
- Institute for Genetic Resources, University of Banja Luka, Banja Luka, Bosnia and Herzegovina
| | - Matjaž Ocepek
- Veterinary Faculty, National Veterinary Institute, University of Ljubljana, Ljubljana, Slovenia
| | | | - László Ózsvári
- Department of Veterinary Forensics and Economics, University of Veterinary Medicine Budapest, Budapest, Hungary
| | - Dimitrios Papadopoulos
- Department of Microbiology, Faculty of Veterinary Medicine, Aristoteles University of Thessaloniki, Thessaloniki, Greece
| | - Theofilos Papadopoulos
- Department of Microbiology, Faculty of Veterinary Medicine, Aristoteles University of Thessaloniki, Thessaloniki, Greece
| | - Sinikka Pelkonen
- Finnish Food Authority, Veterinary Bacteriology and Pathology Unit, Kuopio, Finland
| | | | - Nicola Pozzato
- Laboratorio di Medicina Forense Veterinaria, Struttura Complessa Territoriale 1 - Verona e Vicenza, Istituto Zooprofilattico Sperimentale Delle Venezie, Vicenza, Italy
| | - Eglé Rapaliuté
- Department of Veterinary Pathobiology, Lithuanian University of Health Sciences, Veterinary Academy, Kaunas, Lithuania
| | | | - João Niza-Ribeiro
- Department of Population Studies, Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal
| | - Franz-Ferdinand Roch
- Unit of Food Microbiology, Institute for Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Liza Rosenbaum Nielsen
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jose Luis Saez
- Ministry of Agriculture, Fisheries and Food, Madrid, Spain
| | - Søren Saxmose Nielsen
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Gerdien van Schaik
- Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.,Royal GD, Deventer, Netherlands
| | | | - Blagica Sekovska
- Faculty of Veterinary Medicine in Skopje, Ss Cyril and Methodius University in Skopje, Skopje, Macedonia
| | - Jože Starič
- Clinic for Reproduction and Large Animals - Section for Ruminants, Veterinary Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Sam Strain
- Animal Health and Welfare Northern Ireland, Dungannon, United Kingdom
| | - Petr Šatran
- State Veterinary Administration, Prague, Czechia
| | - Sabina Šerić-Haračić
- Animal Health Economics Department, Veterinary Faculty of the University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | | | - Hans-Hermann Thulke
- Department of Ecological Modelling, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Ivan Toplak
- Department of Virology, Veterinary Faculty, Institute of Microbiology and Parasitology, University of Ljubljana, Ljubljana, Slovenia
| | | | - Sharon Verner
- Animal Health and Welfare Northern Ireland, Dungannon, United Kingdom
| | - Štefan Vilček
- Department of Epizootiology, Parasitology and Protection of One Health, University of Veterinary Medicine and Pharmacy, Kosice, Slovakia
| | - Ramazan Yildiz
- Department of Internal Medicine, Faculty of Veterinary Medicine, Burdur Mehmet Akif Ersoy University, Burdur, Turkey
| | - Inge M G A Santman-Berends
- Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.,Royal GD, Deventer, Netherlands
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17
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Rapaliute E, van Roon A, van Schaik G, Santman-Berends I, Koleci X, Mincu M, Gethmann J, Conrady B, Knific T, Hodnik JJ, Berezowski J, Carmo LP, Madouasse A, Tarpai A, Gerilovych A, Malakauskas A, Sekovska B, Fourichon C, Kalaitzakis E, Roch FF, Houe H, Dudek K, Mõtus K, Ózsvári L, Costa L, Guelbenzu-Gonzalo M, Henry MK, Alishani M, Pozzato N, Hopp P, Juste R, Strain S, Mandelik R, Vilček Š, Autio T, Tamminen LM, Faverjon C. Existence and Quality of Data on Control Programs for EU Non-regulated Cattle Diseases: Consequences for Estimation and Comparison of the Probability of Freedom From Infection. Front Vet Sci 2021; 8:689375. [PMID: 34350229 PMCID: PMC8328145 DOI: 10.3389/fvets.2021.689375] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 06/09/2021] [Indexed: 11/13/2022] Open
Abstract
Some European countries have successfully implemented country-specific control programs (CPs) for infectious cattle diseases that are not regulated or are regulated only to a limited extent at the European Union (EU) level. Examples of such diseases include bovine viral diarrhea (BVD), infectious bovine rhinotracheitis (IBR), and Johne's disease (JD). The CPs vary between countries in the design and quality of collected data as well as methods used to detect infection and estimate prevalence or probability of freedom from infection. Differences in disease status between countries and non-standardized approaches to assess freedom from infection pose a risk for countries with CPs for non-regulated diseases as infected animals may influence the progress of the disease control or eradication program. The implementation of output-based standards allows estimation and comparison of the probability of freedom for non-regulated cattle diseases in European countries. The aim of the current study was to assess the existence and quality of data that could be used for estimating freedom from infection in European countries. The online data collection tool was sent to 32 countries participating in the SOUND control COST Action and was completed by 24 countries. Data on cattle demographics and data from CPs of IBR and BVD exist in more than 50% of the response countries. However, data describing risk factors and CP of JD was reported as existing in <25% of the countries. The overall quality of data in the sections on demographics and CPs of IBR and BVD were evaluated as "good", but risk factors and JD data were mostly evaluated as "fair." Data quality was considered less good mainly due to two quality criteria: accessibility and accuracy. The results of this study show that the quantity and quality of data about cattle populations and CPs are relatively similar in many surveyed countries. The outcome of this work provides an overview of the current situation in the European countries regarding data on EU non-regulated cattle diseases and will further assist in the development and implementation of output-based standards.
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Affiliation(s)
- Egle Rapaliute
- Department of Veterinary Pathobiology, Faculty of Veterinary Medicine, Veterinary Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Annika van Roon
- Department of Population Health Sciences, Unit Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Gerdien van Schaik
- Department of Population Health Sciences, Unit Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.,Department of Epidemiology, Royal GD, Deventer, Netherlands
| | - Inge Santman-Berends
- Department of Population Health Sciences, Unit Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.,Department of Epidemiology, Royal GD, Deventer, Netherlands
| | - Xhelil Koleci
- Faculty of Veterinary Medicine, Agricultural University of Tirana, Tirana, Albania
| | - Madalina Mincu
- Research and Development Institute for Bovine Balotesti, Ploiesti, Romania
| | - Jörn Gethmann
- Institute of Epidemiology, Friedrich-Loeffler-Institut, Greifswald, Germany
| | - Beate Conrady
- Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria.,Complexity Science Hub Vienna, Vienna, Austria.,Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Tanja Knific
- Veterinary Faculty, University of Ljubljana, Ljubljana, Slovenia
| | | | - John Berezowski
- Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Luís Pedro Carmo
- Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | | | - Attila Tarpai
- Section of Epidemiology, Norwegian Veterinary Institute, Oslo, Norway
| | - Anton Gerilovych
- Institute for Experimental and Clinical Veterinary Medicine, Kharkiv, Ukraine
| | - Alvydas Malakauskas
- Department of Veterinary Pathobiology, Faculty of Veterinary Medicine, Veterinary Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Blagica Sekovska
- Faculty of Veterinary Medicine, Ss. Cyril and Methodius University, Skopje, North Macedonia
| | | | - Emmanouil Kalaitzakis
- Clinic of Farm Animals, School of Veterinary Medicine, Aristotle University Thessaloniki, Thessaloniki, Greece
| | - Franz-Ferdinand Roch
- Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Hans Houe
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Katarzyna Dudek
- Department of Cattle and Sheep Diseases, National Veterinary Research Institute, Pulawy, Poland
| | - Kerli Mõtus
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu, Estonia
| | - László Ózsvári
- Department of Veterinary Forensics and Economics, University of Veterinary Medicine Budapest, Budapest, Hungary
| | - Lina Costa
- Polytechnic Institute of Portalegre, Praça Do Município 11, Portalegre, Portugal
| | | | - Madeleine K Henry
- Epidemiology Research Unit, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College, Inverness, United Kingdom
| | - Mentor Alishani
- Veterinary Department of the Faculty of Agriculture and Veterinary, University of Prishtina, Prishtina, Kosovo
| | - Nicola Pozzato
- Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy
| | - Petter Hopp
- Section of Epidemiology, Norwegian Veterinary Institute, Oslo, Norway
| | - Ramon Juste
- Department of Animal Health, NEIKER-Basque Institute for Agricultural Research and Development, Arkaute, Spain
| | - Sam Strain
- Animal Health and Welfare Northern Ireland, Dungannon, United Kingdom
| | - Rene Mandelik
- Department of Epizootiology, Parasitology and Protection of One Health, University of Veterinary Medicine and Pharmacy, Kosice, Slovakia
| | - Štefan Vilček
- Department of Epizootiology, Parasitology and Protection of One Health, University of Veterinary Medicine and Pharmacy, Kosice, Slovakia
| | - Tiina Autio
- Veterinary Bacteriology and Pathology Unit, Finnish Food Authority, Kuopio, Finland
| | - Lena-Mari Tamminen
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
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18
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Conrady B, Brunauer M, Roch FF. Cryptosporidium spp. Infections in Combination with Other Enteric Pathogens in the Global Calf Population. Animals (Basel) 2021; 11:ani11061786. [PMID: 34203818 PMCID: PMC8232747 DOI: 10.3390/ani11061786] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 06/08/2021] [Accepted: 06/13/2021] [Indexed: 01/29/2023] Open
Abstract
Simple Summary The factors “diagnostic”, “health status of the sampled animals”, and “geographical region” explained the majority of the variance of Cryptosporidium spp. (Crypto) prevalence in the global calf population across the literature. The chance of detecting bovine rotavirus (BRV), bovine coronavirus (BCoV), and enterotoxigenic Escherichia coli F5 (K99) (ETEC) in calves with diarrhoea was lower in the presence of Crypto compared to calves without Crypto. This may indicate an inhibition effect between BRV, BCoV, ETEC, and Crypto. Abstract The most common worldwide diarrhoea-causing agents in neonatal calves are Cryptosporidium spp. (Crypto), bovine rotavirus (BRV), bovine coronavirus (BCoV), and enterotoxigenic Escherichia coli F5 (K99) (ETEC). Crypto is a zoonotic pathogen of diarrhoea in humans, particularly for children and immunocompromised adults. Four weighted-stratified random-effect meta-analyses including meta-regression analyses were performed to calculate the worldwide mean prevalence of Crypto and associated concurrent infections with BRV, BCoV and ETEC, as well as their potential influencing factors. The meta-analysis incorporated 28 studies (56 substudies) in 17 countries that determined the presence or absence of concurrent infections with Crypto in the global calf population. Approximately half of all considered studies presented here were conducted in Europe independently of the type of infections with Crypto. Within Europe, the highest estimated mean Crypto-BRV prevalence was identified in Ireland (16.7%), the highest estimated mean Crypto-BCoV prevalence was detected in the United Kingdom (4.3%), and the highest estimated mean Crypto-ETEC prevalence across the literature was determined in Turkey (4.7%). The chance of detecting BRV, BCoV, and ETEC in calves with diarrhoea was 0.8 (confidence interval (CI): 0.6–1.0), 0.7 (CI: 0.5–1.0) and 0.6 (CI: 0.4–0.9) lower in the presence of Crypto compared to calves without Crypto. This may indicate an inhibitory effect between BRV, BCoV, ETEC, and Crypto in calves. The variance in the published prevalence across the literature can mainly be explained by the “diagnostic” factor (R2 min–max: 0.0–40.3%), followed by the “health status of the sampled animals” (R2 min–max: 1.4–27.3%) and “geographical region” (R2 min–max: 5.9–23.6%).
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Affiliation(s)
- Beate Conrady
- Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, 1210 Vienna, Austria; (M.B.); (F.-F.R.)
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 1870 Frederiksberg, Denmark
- Complexity Science Hub Vienna, 1080 Vienna, Austria
- Correspondence:
| | - Michael Brunauer
- Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, 1210 Vienna, Austria; (M.B.); (F.-F.R.)
| | - Franz-Ferdinand Roch
- Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, 1210 Vienna, Austria; (M.B.); (F.-F.R.)
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19
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Abstract
Background: The non-mandatory regulation of animal diseases at the European Union (EU) level enables member states to implement mitigation programs based on their own country-specific conditions such as priority settings of the governments, availability of financial resources, and epidemiological situation. This can result in a heterogeneous distribution of mitigation activities and prevalence levels within and/or between countries, which can cause difficulties for intracommunity trade. This article aims to describe the past, current, and future mitigation activities and associated prevalence levels for four animal diseases, i.e., enzootic bovine leukosis (EBL), infectious bovine rhinotracheitis/infectious pustular vulvovaginitis (IBR/IPV), bovine viral diarrhea (BVD), and bluetongue disease (BT) for Austria. Over a period of 40 years (1978–2020), regulations concerning EBL, IBR/IPV, BVD, and BT were retraced to analyze the changes of legislation, focusing on sampling, testing, and mitigation activities in Austria, and were linked to the collected diagnostic testing results. The study results clearly demonstrate the adoption of the legislation by the Austrian governments in dependency of the epidemiological situations. Furthermore, our study shows that, related to the forthcoming Animal Health Law on April 21, 2021, Austria has a good initial situation to achieve disease-free status and/or free from infection status based on the current available epidemiological situation and previously implemented mitigation activities. The study results presented here are intended to contribute to a better comparison of the eradication status across European countries for cattle diseases by providing information about the mitigation activities and data of testing results over a period of 40 years.
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Affiliation(s)
- Franz-Ferdinand Roch
- Department for Farm Animals and Veterinary Public Health, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria
| | - Beate Conrady
- Department for Farm Animals and Veterinary Public Health, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria.,Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark.,Complexity Science Hub Vienna, Vienna, Austria
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20
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Richter V, Roch FF, Knauss M, Hiesel J, Wolf R, Wagner P, Käsbohrer A, Conrady B. Animal-related factors predicting fatal cases of blackleg and gas gangrene in cattle. Vet Rec 2021; 189:e558. [PMID: 34109648 DOI: 10.1002/vetr.558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 03/26/2021] [Accepted: 05/23/2021] [Indexed: 11/11/2022]
Abstract
BACKGROUND Blackleg and gas gangrene are acute clostridial infections primarily affecting cattle. The objectives of this study were to identify (i) animal-related factors influencing the occurrence and (ii) prognostic pathological findings supporting the differentiation of fatal blackleg and gas gangrene cases in the cattle population from 1998 to 2018 in Styria, Austria. METHODS Two binomial logistic models were applied to analyse the research questions. Additionally, cross-validations were performed to estimate the accuracy of the predictive models. RESULTS Model results show that animal-related factors (i.e., age, geographical discovery location of dead cattle, vaccination status) significantly influence the occurrence of blackleg when compared to gas gangrene. Pathological findings are similar for both diseases. CONCLUSIONS Model results reveal that using animal-related factors has a better accuracy to predict the fatal cases caused by both pathogens. Thus, the authors recommend not relying on pathological findings as predictive factors in the differentiation between blackleg and gas gangrene in cattle.
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Affiliation(s)
- Veronika Richter
- Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria.,Amt der Steiermärkischen Landesregierung, Fachabteilung Gesundheit und Pflegemanagement, Graz, Austria
| | - Franz-Ferdinand Roch
- Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria
| | - Marlena Knauss
- Bezirkshauptmannschaft Liezen, Politische Expositur Gröbming, Gröbming, Austria.,Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Jörg Hiesel
- Amt der Steiermärkischen Landesregierung, Fachabteilung Gesundheit und Pflegemanagement, Graz, Austria
| | - Robert Wolf
- Amt der Steiermärkischen Landesregierung, Fachabteilung Gesundheit und Pflegemanagement, Graz, Austria
| | - Peter Wagner
- Amt der Steiermärkischen Landesregierung, Fachabteilung Gesundheit und Pflegemanagement, Graz, Austria
| | - Annemarie Käsbohrer
- Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria
| | - Beate Conrady
- Unit of Veterinary Public Health and Epidemiology, Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria.,Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg C, Denmark.,Complexity Science Hub Vienna, Vienna, Austria
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21
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Brunauer M, Roch FF, Conrady B. Prevalence of Worldwide Neonatal Calf Diarrhoea Caused by Bovine Rotavirus in Combination with Bovine Coronavirus, Escherichia coli K99 and Cryptosporidium spp.: A Meta-Analysis. Animals (Basel) 2021; 11:ani11041014. [PMID: 33916839 PMCID: PMC8066230 DOI: 10.3390/ani11041014] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 03/31/2021] [Accepted: 04/02/2021] [Indexed: 12/28/2022] Open
Abstract
Multiple enteropathogens such as bovine rotavirus (BRV), bovine coronavirus (BCoV), Escherichia coli K99 (ETEC) and Cryptosporidium spp. (Crypto) are the most common causes of calf diarrhoea during the first 30 days of animal age. Three weighted-stratified random-effects meta-analyses were performed to calculate the worldwide prevalence of mixed infections of the causative agents (i.e., BRV-BCoV, BRV-ETEC, BRV-Crypto) and their potential influencing factors. The meta-analysis covered 41 studies (94 sub-studies) in 21 countries that determined the presence or absence of mixed infections in global calf populations. The highest worldwide estimated pooled prevalence was identified for BRV-Crypto (6.69%), followed by BRV-BCoV (2.84%), and BRV-ETEC (1.64%). The chance of detecting BCoV in calves with diarrhoea was 1.83 higher in the presence of BRV compared to calves without BRV, whereby an inhibition effect (odds ratio: 0.77) was determined between BRV and Crypto infections. The diagnostic methods were identified as a significant influencing factor in the detection of all considered mixed infections, while the other analysed factors differed in relation to their effect on prevalence. In contrast to BRV-BCoV, the prevalence of BRV-ETEC and BRV-Crypto mixed infections followed the course of individual ETEC and Crypto prevalence related to the age class of the sampled animals.
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Affiliation(s)
- Michael Brunauer
- Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, 1210 Vienna, Austria; (M.B.); (F.-F.R.)
| | - Franz-Ferdinand Roch
- Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, 1210 Vienna, Austria; (M.B.); (F.-F.R.)
| | - Beate Conrady
- Institute of Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, 1210 Vienna, Austria; (M.B.); (F.-F.R.)
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 1870 Frederiksberg C, Denmark
- Complexity Science Hub Vienna, 1080 Vienna, Austria
- Correspondence:
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