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Zintl A, McManus A, Galan M, Diquattro M, Giuffredi L, Charbonnel N, Gray J, Holland C, Stuart P. Presence and identity of Babesia microti in Ireland. Ticks Tick Borne Dis 2023; 14:102221. [PMID: 37406478 DOI: 10.1016/j.ttbdis.2023.102221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 06/16/2023] [Accepted: 06/18/2023] [Indexed: 07/07/2023]
Abstract
Babesia microti is a tick-transmitted protozoan parasite of wildlife that can also cause serious disease in humans. It is now well established that B. microti represents an assemblage of different strains or species, only some of which are important zoonotic pathogens. Therefore, in order to assess the potential public health risk associated with B. microti in any given location, it is important to determine the strains that are present. This is the first study on the presence and identity of B. microti in Ireland. Overall, 314 wood mice (Apodemus sylvaticus), 243 bank voles (Myodes glareolus) and 634 questing Ixodes ricinus nymphs collected in various locations across Ireland were screened for the presence of B. microti by metabarcoding and nested PCR, respectively. Overall 8 rodent spleen samples (1.4%) were positive for B. microti, while all tick samples tested negative. Rodent isolates were identified as the 'Munich' strain which rarely causes human disease and is chiefly transmitted by the mouse tick, Ixodes trianguliceps. Together with reports from the UK these results suggest that B. microti does not represent a significant public health risk in Britain or Ireland.
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Affiliation(s)
- A Zintl
- UCD Veterinary Sciences Centre, University College Dublin, Ireland.
| | - A McManus
- MunsterTechnological University, Kerry Campus, Ireland
| | - M Galan
- CBGP, INRAE, CIRAD, Institut Agro, IRD, University of Montpellier, Montpellier, France
| | - M Diquattro
- Biological Engineering Department, University of Toulon, France
| | | | - N Charbonnel
- CBGP, INRAE, CIRAD, Institut Agro, IRD, University of Montpellier, Montpellier, France
| | - J Gray
- UCD School of Biology and Environmental Science, University College Dublin, Ireland
| | - C Holland
- School of Natural Sciences, Trinity College Dublin, Ireland
| | - P Stuart
- Munster Technological University, Kerry Campus, Ireland
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Noll M, Wall R, Makepeace BL, Newbury H, Adaszek L, Bødker R, Estrada-Peña A, Guillot J, da Fonseca IP, Probst J, Overgaauw P, Strube C, Zakham F, Zanet S, Rose Vineer H. Predicting the distribution of Ixodes ricinus and Dermacentor reticulatus in Europe: a comparison of climate niche modelling approaches. Parasit Vectors 2023; 16:384. [PMID: 37880680 PMCID: PMC10601327 DOI: 10.1186/s13071-023-05959-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 09/01/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND The ticks Ixodes ricinus and Dermacentor reticulatus are two of the most important vectors in Europe. Climate niche modelling has been used in many studies to attempt to explain their distribution and to predict changes under a range of climate change scenarios. The aim of this study was to assess the ability of different climate niche modelling approaches to explain the known distribution of I. ricinus and D. reticulatus in Europe. METHODS A series of climate niche models, using different combinations of input data, were constructed and assessed. Species occurrence records obtained from systematic literature searches and Global Biodiversity Information Facility data were thinned to different degrees to remove sampling spatial bias. Four sources of climate data were used: bioclimatic variables, WorldClim, TerraClimate and MODIS satellite-derived data. Eight different model training extents were examined and three modelling frameworks were used: maximum entropy, generalised additive models and random forest models. The results were validated through internal cross-validation, comparison with an external independent dataset and expert opinion. RESULTS The performance metrics and predictive ability of the different modelling approaches varied significantly within and between each species. Different combinations were better able to define the distribution of each of the two species. However, no single approach was considered fully able to capture the known distribution of the species. When considering the mean of the performance metrics of internal and external validation, 24 models for I. ricinus and 11 models for D. reticulatus of the 96 constructed were considered adequate according to the following criteria: area under the receiver-operating characteristic curve > 0.7; true skill statistic > 0.4; Miller's calibration slope 0.25 above or below 1; Boyce index > 0.9; omission rate < 0.15. CONCLUSIONS This comprehensive analysis suggests that there is no single 'best practice' climate modelling approach to account for the distribution of these tick species. This has important implications for attempts to predict climate-mediated impacts on future tick distribution. It is suggested here that climate variables alone are not sufficient; habitat type, host availability and anthropogenic impacts, not included in current modelling approaches, could contribute to determining tick presence or absence at the local or regional scale.
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Affiliation(s)
- Madeleine Noll
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
| | - Richard Wall
- School of Biological Sciences, University of Bristol, Bristol, UK
| | - Benjamin L Makepeace
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | | | - Lukasz Adaszek
- Department of Epizootiology and Clinic of Infectious Diseases, Faculty of Veterinary Medicine, University of Life Sciences, Lublin, Poland
| | - René Bødker
- Section of Animal Welfare and Disease Control, Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Agustín Estrada-Peña
- Department of Animal Health, Faculty of Veterinary Medicine, University of Zaragoza, Saragossa, Spain
- Instituto Agroalimentario de Aragón (IA2), Saragossa, Spain
| | - Jacques Guillot
- Department of Dermatology-Parasitology-Mycology, École Nationale Vétérinaire, Oniris, Nantes, France
| | - Isabel Pereira da Fonseca
- CIISA-Centre for Interdisciplinary Research in Animal Health, Faculty of Veterinary Medicine, University of Lisbon, Lisbon, Portugal
- Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), Vila Real, Portugal
| | - Julia Probst
- Institute for Parasitology, Centre for Infection Medicine, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Paul Overgaauw
- Department Population Health Sciences, Division of Veterinary Public Health, Faculty of Veterinary Medicine, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Christina Strube
- Institute for Parasitology, Centre for Infection Medicine, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Fathiah Zakham
- Department of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
| | - Stefania Zanet
- Department of Veterinary Sciences, University of Turin, Grugliasco, Italy
| | - Hannah Rose Vineer
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
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Predicting the current and future risk of ticks on livestock farms in Britain using random forest models. Vet Parasitol 2022; 311:109806. [PMID: 36116333 DOI: 10.1016/j.vetpar.2022.109806] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/08/2022] [Accepted: 09/09/2022] [Indexed: 11/22/2022]
Abstract
The most abundant tick species in northern Europe, Ixodes ricinus, transmits a range of pathogens that cause disease in livestock. As I. ricinus distribution is influenced by climate, tick-borne disease risk is expected to change in the future. The aims of this work were to build a spatial model to predict current and future risk of ticks on livestock farms across Britain. Variables relating both to tick hazard and livestock exposure were included, to capture a niche which may be missed by broader scale models. A random forest machine learning model was used due to its ability to cope with correlated variables and interactions. Data on tick presence and absence on sheep and cattle farms was obtained from a retrospective questionnaire survey of 926 farmers. The ROC of the final model was 0.80. The model outputs matched observed patterns of tick distribution, with areas of highest tick risk in southwest and northwest England, Wales, and west Scotland. Overall, the probability of tick presence on livestock farms was predicted to increase by 5-7 % across Britain under future climate scenarios. The predicted increase is greater at higher altitudes and latitudes, further increasing the risk of tick-borne disease on farms in these areas.
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Peterson B, Clark KL. Borrelia afzelii in an Ixodes ricinus encountered by a traveller in Ireland. J Travel Med 2022; 29:6594510. [PMID: 35640303 DOI: 10.1093/jtm/taac071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 03/10/2022] [Accepted: 03/21/2022] [Indexed: 11/13/2022]
Affiliation(s)
- Breck Peterson
- Department of Public Health, University of North Florida, Jacksonville, FL 32224, USA
| | - Kerry L Clark
- Department of Public Health, University of North Florida, Jacksonville, FL 32224, USA
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Meta-analysis: A useful tool to assess infection prevalence and disease ecology of Borrelia burgdorferi sensu lato in nymphal ticks in North-Western Europe with recommendations for a standardised approach to future studies. Parasite Epidemiol Control 2022; 18:e00254. [PMID: 35677189 PMCID: PMC9167692 DOI: 10.1016/j.parepi.2022.e00254] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/13/2022] [Accepted: 05/22/2022] [Indexed: 12/30/2022] Open
Abstract
Lyme borreliosis is a vector-borne disease of concern in Europe. While neuroborreliosis data are reportable at EU level, it can nevertheless be difficult to make comparisons of disease risk between neighbouring countries. This study used proportion meta-analyses to compare environmental markers of disease risk between woodland sites in two countries in North-Western Europe (Ireland, Scotland). 73 site-visits from 12 publications were analysed, resulting in a significantly higher pooled nymphal infection prevalence (NIP) in Ireland (8.2% (95% CI: 5.9–11.4%)) than Scotland (1.7%(95% CI 1.1–2.5%)). All other analysed parameters of disease risk were also higher in Ireland than Scotland. Subgroup-meta-analyses and meta-regressions were used to assess the influence of environmental variables on NIP. NIP increased significantly with increasing woodland size in Ireland, but not Scotland, which may be accounted for by Ireland's highly fragmented landscape. Assuming the application of strict inclusion/exclusion criteria and control of variables, proportion meta-analysis can provide useful insights in disease ecology, as it allows for the achievement of high study powers incorporating samples collected across multiple sites, which is otherwise often a prohibitively difficult and resource-heavy feat in environmental studies in disease ecology. A standardised approach to data collection is recommended to achieve more robust meta-analyses in future in conjunction with additional research on environmental factors affecting Lyme borreliosis risk in Europe, particularly pertaining to the impact of host species on NIP.
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Kubiak K, Szymańska H, Dmitryjuk M, Dzika E. Abundance of Ixodes ricinus Ticks (Acari: Ixodidae) and the Diversity of Borrelia Species in Northeastern Poland. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127378. [PMID: 35742628 PMCID: PMC9223791 DOI: 10.3390/ijerph19127378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/11/2022] [Accepted: 06/14/2022] [Indexed: 11/29/2022]
Abstract
Monitoring the abundance of ticks and the prevalence of pathogens in ticks is an important activity in assessing the risk of tick-borne diseases and helps to develop preventive measures. This study aimed to estimate the density of Ixodes ricinus, the prevalence of Borrelia species, and their diversity in northeastern Poland. The overall mean I. ricinus density was 9.7 ticks/100 m2. There were no differences between years, subregions, or habitats of study. The Borrelia infection rate was higher in females (22.6%) and males (14.3%) than in nymphs 5.5% (MIR). The most infected ticks came from the eastern subregion (10.1%) where the incidence of borreliosis among the inhabitants was over 20% higher than in the other subregions. In the infected ticks, B. afzelii (38.3%) and B. garinii (34.5%) were predominant. B. bavariensis was confirmed in I. ricinus in Poland for the first time. The most polymorphic was B. garinii. B. miyamotoi (belonged to the European type) was identified as a mono-infection in 0.9% of ticks and in 1.5% as a co-infection with B. afzelii and with B. garinii. Besides the risk of borreliosis and co-infections with different Borrelia species, physicians should also be aware of B. miyamotoi infections among patients.
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Affiliation(s)
- Katarzyna Kubiak
- Department of Medical Biology, Collegium Medicum, School of Public Health, University of Warmia and Mazury in Olsztyn, Zolnierska 14c, 10-561 Olsztyn, Poland; (H.S.); (E.D.)
- Correspondence:
| | - Hanna Szymańska
- Department of Medical Biology, Collegium Medicum, School of Public Health, University of Warmia and Mazury in Olsztyn, Zolnierska 14c, 10-561 Olsztyn, Poland; (H.S.); (E.D.)
| | - Małgorzata Dmitryjuk
- Department of Biochemistry, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego 1A, 10-719 Olsztyn, Poland;
| | - Ewa Dzika
- Department of Medical Biology, Collegium Medicum, School of Public Health, University of Warmia and Mazury in Olsztyn, Zolnierska 14c, 10-561 Olsztyn, Poland; (H.S.); (E.D.)
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Flattery A, McKiernan F, Browne J, Gray J, Zaid T, O'Connor J, Zintl A. The prevalence and distribution of Anaplasma phagocytophilum genotypes in Ixodes ricinus nymphs collected from farm- and woodland sites in Ireland. Ticks Tick Borne Dis 2022; 13:101928. [DOI: 10.1016/j.ttbdis.2022.101928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/01/2022] [Accepted: 02/21/2022] [Indexed: 10/19/2022]
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McKiernan F, Flattery A, Browne J, Gray J, Zaid T, O’Connor J, Zintl A. The Prevalence and Genetic Diversity of Babesia divergens in Ixodes ricinus Nymphs Collected from Farm- and Woodland Sites in Ireland. Pathogens 2022; 11:pathogens11030312. [PMID: 35335636 PMCID: PMC8951431 DOI: 10.3390/pathogens11030312] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 02/15/2022] [Accepted: 03/01/2022] [Indexed: 12/04/2022] Open
Abstract
The parasite, Babesia divergens causes redwater fever in cattle and a rare, albeit life-threatening disease in humans. In Ireland, B. divergens has always been considered an important pathogen as the high incidence of redwater fever precluded areas of the country from cattle farming. Moreover a relatively large proportion of human cases were reported here. Red deer (Cervus elaphus), which often harbour babesias that are genetically very similar (if not identical) to B. divergens, are quite widespread. In this study 1369 nymphal Ixodes ricinus ticks collected from various habitats were screened for the presence of B. divergens using TaqMan followed by conventional nested PCR. Fragments of the 18S rRNA gene locus (560 bp) were compared against published Irish B. divergens isolates from cattle, humans and red deer. Overall just 1% of I. ricinus nymphs were infected with B. divergens, with similar infection rates in ticks collected from farm- and woodland. Most (90%) 18S rRNA gene fragments derived from woodland ticks were 100% identical to published sequences from cattle and humans. One differed by a single nucleotide polymorphism (SNP) as did two isolates from ticks collected in bogland. Two isolates derived from nymphs collected in farmland differed by 2 and 4 SNPs respectively.
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Affiliation(s)
- Fiona McKiernan
- UCD Veterinary Sciences Centre, University College Dublin, D04 V1W8 Dublin, Ireland; (F.M.); (A.F.); (T.Z.)
| | - Amie Flattery
- UCD Veterinary Sciences Centre, University College Dublin, D04 V1W8 Dublin, Ireland; (F.M.); (A.F.); (T.Z.)
| | - John Browne
- UCD School of Agriculture and Food Science, University College Dublin, D04 V1W8 Dublin, Ireland;
| | - Jeremy Gray
- UCD School of Biology and Environmental Science, University College Dublin, D04 V1W8 Dublin, Ireland;
| | - Taher Zaid
- UCD Veterinary Sciences Centre, University College Dublin, D04 V1W8 Dublin, Ireland; (F.M.); (A.F.); (T.Z.)
| | - Jack O’Connor
- MSD Ireland, South County Business Park, D18 X5R3 Dublin, Ireland;
| | - Annetta Zintl
- UCD Veterinary Sciences Centre, University College Dublin, D04 V1W8 Dublin, Ireland; (F.M.); (A.F.); (T.Z.)
- Correspondence: ; Tel.: +353-1-7166121
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The evolving story of Borrelia burgdorferi sensu lato transmission in Europe. Parasitol Res 2022; 121:781-803. [PMID: 35122516 PMCID: PMC8816687 DOI: 10.1007/s00436-022-07445-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 01/19/2022] [Indexed: 12/13/2022]
Abstract
Beside mosquitoes, ticks are well-known vectors of different human pathogens. In the Northern Hemisphere, Lyme borreliosis (Eurasia, LB) or Lyme disease (North America, LD) is the most commonly occurring vector-borne infectious disease caused by bacteria of the genus Borrelia which are transmitted by hard ticks of the genus Ixodes. The reported incidence of LB in Europe is about 22.6 cases per 100,000 inhabitants annually with a broad range depending on the geographical area analyzed. However, the epidemiological data are largely incomplete, because LB is not notifiable in all European countries. Furthermore, not only differ reporting procedures between countries, there is also variation in case definitions and diagnostic procedures. Lyme borreliosis is caused by several species of the Borrelia (B.) burgdorferi sensu lato (s.l.) complex which are maintained in complex networks including ixodid ticks and different reservoir hosts. Vector and host influence each other and are affected by multiple factors including climate that have a major impact on their habitats and ecology. To classify factors that influence the risk of transmission of B. burgdorferi s.l. to their different vertebrate hosts as well as to humans, we briefly summarize the current knowledge about the pathogens including their astonishing ability to overcome various host immune responses, regarding the main vector in Europe Ixodes ricinus, and the disease caused by borreliae. The research shows, that a higher standardization of case definition, diagnostic procedures, and standardized, long-term surveillance systems across Europe is necessary to improve clinical and epidemiological data.
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Novel Protozoans in Austria Revealed through the Use of Dogs as Sentinels for Ticks and Tick-Borne Pathogens. Microorganisms 2021; 9:microorganisms9071392. [PMID: 34203236 PMCID: PMC8306317 DOI: 10.3390/microorganisms9071392] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 06/23/2021] [Accepted: 06/24/2021] [Indexed: 11/18/2022] Open
Abstract
We previously isolated and cultivated the novel Rickettsia raoultii strain Jongejan. This prompted us to ask whether this strain is unique or more widely present in Austria. To assess this issue, we retrospectively screened ticks collected from dogs in 2008. Of these collected ticks, we randomly selected 75 (47 females and 28 males) Dermacentor reticulatus, 44 (21 females, 7 males, and 16 nymphs) Haemaphysalis concinna, and 55 (52 females and 3 males) ticks of the Ixodes ricinus complex. Subsequently, these ticks were individually screened for the presence of tick-borne pathogens using the reverse line blot hybridization assay. In our current study, we detected DNA from the following microbes in D. reticulatus: Anaplasma phagocytophilum, Borrelia lusitaniae, Borrelia spielmanii, Borrelia valaisiana, and R. raoultii, all of which were R. raoultii strain Jongejan. In H. concinna, we found DNA of a Babesia sp., Rickettsia helvetica, and an organism closely related to Theileria capreoli. Lastly, I. ricinus was positive for Anaplasma phagocytophilum, Borrelia afzelii, Borrelia burgdorferi sensu stricto, Borrelia garinii/Borrelia bavariensis, B. lusitaniae, B. spielmanii, B. valaisiana, Candidatus Neoehrlichia mikurensis, Rickettsia helvetica, Rickettsia monacensis, and Theileria (Babesia) microti DNA. The detection of DNA of the Babesia sp. and an organism closely related to Theileria capreoli, both found in H. concinna ticks, is novel for Austria.
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de Waal T, Lawlor A, Zintl A, Cowley B, Bagha A. A Survey of Ticks Infesting Dogs and Cats in Ireland. Animals (Basel) 2020; 10:E1404. [PMID: 32806603 PMCID: PMC7460173 DOI: 10.3390/ani10081404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/05/2020] [Accepted: 08/10/2020] [Indexed: 11/23/2022] Open
Abstract
Ticks are important ectoparasites of dogs and cats. Infestations can result in itching and localised dermatitis. In addition, ticks can act as vector of a range of viral, bacterial and protozoal pathogens. This paper reports the results of a nationwide survey of ticks infesting dogs and cats in Ireland. Seventy veterinary practices submitted a total of 120 ticks collected from 56 dogs and 16 cats. Ixodes ricinus was the most abundant species on dogs while Ixodes hexagonus was the most abundant species on cats. The remainder were identified as Ixodes canisuga and a single Rhipicephalus sanguineus specimen. The garden was most frequently associated with tick exposure in both dogs and cats. Sporting dog breeds (n = 17; 31%) were more likely to be infested with ticks than any other breed. Nearly all (n = 56; 95%) veterinarians indicated that ticks are a concern to their clients when they are found on their pets. Pet owners used a variety of products to control ectoparasites on their animals but a significant number (n = 18, 31%) indicated that they felt that the products are less effective highlighting the need for further investigations. Field sampling indicated that ticks are present at a low level in much of the greater Dublin area.
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Affiliation(s)
- Theo de Waal
- School of Veterinary Medicine, University College Dublin, D04 W6F6 Dublin, Ireland; (A.L.); (A.Z.); (A.B.)
| | - Amanda Lawlor
- School of Veterinary Medicine, University College Dublin, D04 W6F6 Dublin, Ireland; (A.L.); (A.Z.); (A.B.)
| | - Annetta Zintl
- School of Veterinary Medicine, University College Dublin, D04 W6F6 Dublin, Ireland; (A.L.); (A.Z.); (A.B.)
| | | | - Atiyah Bagha
- School of Veterinary Medicine, University College Dublin, D04 W6F6 Dublin, Ireland; (A.L.); (A.Z.); (A.B.)
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