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Giesen C, Cifo D, Gomez-Barroso D, Estévez-Reboredo RM, Figuerola J, Herrador Z. The Role of Environmental Factors in Lyme Disease Transmission in the European Union: A Systematic Review. Trop Med Infect Dis 2024; 9:113. [PMID: 38787046 PMCID: PMC11125681 DOI: 10.3390/tropicalmed9050113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 04/01/2024] [Accepted: 05/10/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Lyme disease (LD) is an emergent vector-borne disease caused by Borrelia spp. and transmitted through infected ticks, mainly Ixodes spp. Our objective was to determine meteorological and environmental factors associated with LD transmission in Europe and the effect of climate change on LD. MATERIALS AND METHODS A systematic review following the PRISMA guidelines was performed. We selected studies on LD transmission in the European Union (EU) and the European Economic Area (EEA) published between 2000 and 2022. The protocol was registered in the PROSPERO database. RESULTS We included 81 studies. The impact of environmental, meteorological or climate change factors on tick vectors was studied in 65 papers (80%), and the impact on human LD cases was studied in 16 papers (19%), whereas animal hosts were only addressed in one study (1%). A significant positive relationship was observed between temperature and precipitation and the epidemiology of LD, although contrasting results were found among studies. Other positive factors were humidity and the expansion of anthropized habitats. CONCLUSIONS The epidemiology of LD seems to be related to climatic factors that are changing globally due to ongoing climate change. Unfortunately, the complete zoonotic cycle was not systematically analyzed. It is important to adopt a One Health approach to understand LD epidemiology.
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Affiliation(s)
- Christine Giesen
- Centro de Salud Internacional Madrid Salud, Ayuntamiento de Madrid, 28006 Madrid, Spain;
| | - Daniel Cifo
- Escuela Nacional de Sanidad, Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - Diana Gomez-Barroso
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, 28029 Madrid, Spain; (D.G.-B.); (R.M.E.-R.)
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
| | - Rosa M. Estévez-Reboredo
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, 28029 Madrid, Spain; (D.G.-B.); (R.M.E.-R.)
| | - Jordi Figuerola
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
- Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, 41092 Sevilla, Spain
| | - Zaida Herrador
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, 28029 Madrid, Spain; (D.G.-B.); (R.M.E.-R.)
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain;
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Tang T, Zhu Y, Zhang YY, Chen JJ, Tian JB, Xu Q, Jiang BG, Wang GL, Golding N, Mehlman ML, Lv CL, Hay SI, Fang LQ, Liu W. The global distribution and the risk prediction of relapsing fever group Borrelia: a data review with modelling analysis. THE LANCET. MICROBE 2024; 5:e442-e451. [PMID: 38467129 DOI: 10.1016/s2666-5247(23)00396-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 11/22/2023] [Accepted: 11/22/2023] [Indexed: 03/13/2024]
Abstract
BACKGROUND The recent discovery of emerging relapsing fever group Borrelia (RFGB) species, such as Borrelia miyamotoi, poses a growing threat to public health. However, the global distribution and associated risk burden of these species remain uncertain. We aimed to map the diversity, distribution, and potential infection risk of RFGB. METHODS We searched PubMed, Web of Science, GenBank, CNKI, and eLibrary from Jan 1, 1874, to Dec 31, 2022, for published articles without language restriction to extract distribution data for RFGB detection in vectors, animals, and humans, and clinical information about human patients. Only articles documenting RFGB infection events were included in this study, and data for RFGB detection in vectors, animals, or humans were composed into a dataset. We used three machine learning algorithms (boosted regression trees, random forest, and least absolute shrinkage and selection operator logistic regression) to assess the environmental, ecoclimatic, biological, and socioeconomic factors associated with the occurrence of four major RFGB species: Borrelia miyamotoi, Borrelia lonestari, Borrelia crocidurae, and Borrelia hermsii; and mapped their worldwide risk level. FINDINGS We retrieved 13 959 unique studies, among which 697 met the selection criteria and were used for data extraction. 29 RFGB species have been recorded worldwide, of which 27 have been identified from 63 tick species, 12 from 61 wild animals, and ten from domestic animals. 16 RFGB species caused human infection, with a cumulative count of 26 583 cases reported from Jan 1, 1874, to Dec 31, 2022. Borrelia recurrentis (17 084 cases) and Borrelia persica (2045 cases) accounted for the highest proportion of human infection. B miyamotoi showed the widest distribution among all RFGB, with a predicted environmentally suitable area of 6·92 million km2, followed by B lonestari (1·69 million km2), B crocidurae (1·67 million km2), and B hermsii (1·48 million km2). The habitat suitability index of vector ticks and climatic factors, such as the annual mean temperature, have the most significant effect among all predictive models for the geographical distribution of the four major RFGB species. INTERPRETATION The predicted high-risk regions are considerably larger than in previous reports. Identification, surveillance, and diagnosis of RFGB infections should be prioritised in high-risk areas, especially within low-income regions. FUNDING National Key Research and Development Program of China.
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Affiliation(s)
- Tian Tang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Ying Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Yuan-Yuan Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jin-Jin Chen
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jian-Bo Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Qiang Xu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Bao-Gui Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Guo-Lin Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Nick Golding
- Telethon Kids Institute, Nedlands, WA, Australia; School of Population Health, Curtin University, Bentley, WA, Australia; Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia
| | - Max L Mehlman
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Chen-Long Lv
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Simon I Hay
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Li-Qun Fang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
| | - Wei Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
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3
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Janzén T, Choudhury F, Hammer M, Petersson M, Dinnétz P. Ticks - public health risks in urban green spaces. BMC Public Health 2024; 24:1031. [PMID: 38614967 PMCID: PMC11015579 DOI: 10.1186/s12889-024-18540-8] [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: 11/22/2023] [Accepted: 04/07/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Urban green spaces are important for human health, but they may expose visitors to tick-borne diseases. This not only presents a potential public health challenge but also undermines the expected public health gains from urban green spaces. The aim of this study is to assess the public health risk of tick-borne diseases in an urban green space used for recreation in Stockholm, Sweden. METHODS We used a mixed method approach identifying both the magnitude of the tick hazard and the extent of the human exposure to tick-borne diseases. At six entry points to an urban green space, we sampled ticks and documented microhabitat conditions from five randomly assigned 2 m × 2 m plots. Surrounding habitat data was analyzed using geographical information system (GIS). Nymphs and adult ticks were tested for Borrelia burgdorferi sensu lato and Anaplasma phagocytophilum using TaqMan qPCR. Positive B. burgdorferi (s.l.) ticks were further analyzed by nested PCR amplification and sequence analysis. Population census data and visitor count data were used to estimate the degree of human exposure to tick-borne diseases. To further understand the degree to which visitors get in contact with infected ticks we also conducted interviews with visitors to green spaces. RESULTS High tick densities were commonly found in humid broadleaved forest with low field vegetation. High pathogen prevalence was significantly correlated with increasing proportions of artificial areas. Integrating the tick hazard with human exposure we found that the public health risk of tick-borne diseases was moderate to high at most of the studied entry points. Many of the visitors frequently used urban green spaces. Walking was the most common activity, but visitors also engaged in activities with higher risk for tick encounters. Individual protective measures were connected to specific recreational activities such as picking berries or mushrooms. CONCLUSIONS The number of visitors can be combined with tick inventory data and molecular analyses of pathogen prevalence to make crude estimations of the public health risk of tick-borne diseases in urban green spaces. The risk of encountering infected ticks is omnipresent during recreational activities in urban green spaces, highlighting the need for public health campaigns to reduce the risk of tick-borne diseases.
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Affiliation(s)
- Thérese Janzén
- Department of Natural Science, Environment and Technology, Södertörn University, Hudding, Sweden.
| | - Firoza Choudhury
- Department of Natural Science, Environment and Technology, Södertörn University, Hudding, Sweden
| | - Monica Hammer
- Department of Natural Science, Environment and Technology, Södertörn University, Hudding, Sweden
| | - Mona Petersson
- Department of Natural Science, Environment and Technology, Södertörn University, Hudding, Sweden
| | - Patrik Dinnétz
- Department of Natural Science, Environment and Technology, Södertörn University, Hudding, Sweden
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4
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Self S, Yang Y, Walden H, Yabsley MJ, McMahan C, Herrin BH. A nowcast model to predict outdoor flea activity in real time for the contiguous United States. Parasit Vectors 2024; 17:27. [PMID: 38254213 PMCID: PMC10804753 DOI: 10.1186/s13071-023-06112-5] [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: 08/22/2023] [Accepted: 12/26/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND The cat flea (Ctenocephalides felis), a parasite commonly found on both dogs and cats, is a competent vector for several zoonotic pathogens, including Dipylidium caninum (tapeworms), Bartonella henselae (responsible for cat scratch disease) and Rickettsia felis (responsible for flea-borne spotted fever). Veterinarians recommend that both cats and dogs be routinely treated with medications to prevent flea infestation. Nevertheless, surveys suggest that nearly one third of pet owners do not routinely administer appropriate preventatives. METHODS A mathematical model based on weighted averaging over time is developed to predict outdoor flea activity from weather conditions for the contiguous United States. This 'nowcast' model can be updated in real time as weather conditions change and serves as an important tool for educating pet owners about the risks of flea-borne disease. We validate our model using Google Trends data for searches for the term 'fleas.' This Google Trends data serve as a proxy for true flea activity, as validating the model by collecting fleas over the entire USA is prohibitively costly and time-consuming. RESULTS The average correlation (r) between the nowcast outdoor flea activity predictions and the Google Trends data was moderate: 0.65, 0.70, 0.66, 0.71 and 0.63 for 2016, 2017, 2018, 2019 and 2020, respectively. However, there was substantial regional variation in performance, with the average correlation in the East South Atlantic states being 0.81 while the average correlation in the Mountain states was only 0.45. The nowcast predictions displayed strong seasonal and geographic patterns, with predicted activity generally being highest in the summer months. CONCLUSIONS The nowcast model is a valuable tool by which to educate pet owners regarding the risk of fleas and flea-borne disease and the need to routinely administer flea preventatives. While it is ideal for domestic cats and dogs to on flea preventatives year-round, many pets remain vulnerable to flea infestation. Alerting pet owners to the local increased risk of flea activity during certain times of the year may motivate them to administer appropriate routine preventives.
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Affiliation(s)
- Stella Self
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, USA
| | - Yuan Yang
- School of Mathematical and Statistical Sciences, Clemson University, Clemson, USA
| | - Heather Walden
- Department of Comparative, Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, USA
| | - Michael J Yabsley
- Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, USA
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, USA
- Center for the Ecology of Infectious Diseases, University of Georgia, Athens, USA
| | - Christopher McMahan
- School of Mathematical and Statistical Sciences, Clemson University, Clemson, USA
| | - Brian H Herrin
- Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, USA.
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5
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Sormunen JJ, Sääksjärvi IE, Vesterinen EJ, Klemola T. Crowdsourced tick observation data from across 60 years reveals major increases and northwards shifts in tick contact areas in Finland. Sci Rep 2023; 13:21274. [PMID: 38042950 PMCID: PMC10693632 DOI: 10.1038/s41598-023-48744-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 11/29/2023] [Indexed: 12/04/2023] Open
Abstract
There is mounting evidence of increases in tick (Acari: Ixodidae) contacts in Finland during the past few decades, highlighted by increases in the incidence of Lyme borreliosis and tick-borne encephalitis (TBE). While nationwide field studies to map distributions of ticks are not feasible, crowdsourcing provides a comprehensive method with which to assess large-scale changes in tick contact areas. Here, we assess changes in tick contact areas in Finland between 1958 and 2021 using three different nationwide crowdsourced data sets. The data revealed vast increases in tick contact areas, with ticks estimated to be contacted locally approximately 400 km further north in western and approximately 100 km further north in eastern Finland in 2021 than 1958. Tick contact rates appeared to be highest along the coastline and on the shores of large lakes, possibly indicating higher tick abundance therein. In general, tick observations per inhabitant increased from 2015 to 2021. Tick contact areas have expanded in Finland over the past 60 years. It appears that taiga ticks (Ixodes persulcatus) are behind most of the northwards shifts in tick contact areas, with Ixodes ricinus contributing mostly to new contact areas in the south. While ticks are now present in most of Finland, there are still areas where tick abundance is low and/or establishment not possible, mainly in northern Finland.
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Affiliation(s)
- Jani J Sormunen
- Biodiversity Unit, University of Turku, Turku, Finland.
- Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland.
| | | | | | - Tero Klemola
- Deparment of Biology, University of Turku, Turku, Finland
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6
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Zortman I, de Garine-Wichatitsky M, Arsevska E, Dub T, Van Bortel W, Lefrançois E, Vial L, Pollet T, Binot A. A social-ecological systems approach to tick bite and tick-borne disease risk management: Exploring collective action in the Occitanie region in southern France. One Health 2023; 17:100630. [PMID: 38024266 PMCID: PMC10665146 DOI: 10.1016/j.onehlt.2023.100630] [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: 08/09/2023] [Accepted: 09/19/2023] [Indexed: 12/01/2023] Open
Abstract
Ticks are amongst the most important zoonotic disease vectors affecting human and animal health worldwide. Tick-borne diseases (TBDs) are rapidly expanding geographically and in incidence, most notably in temperate regions of Europe where ticks are considered the principal zoonotic vector of Public Health relevance, as well as a major health and economic preoccupation in agriculture and equine industries. Tick-borne pathogen (TBP) transmission is contingent on complex, interlinked vector-pathogen-host dynamics, environmental and ecological conditions and human behavior. Tackling TBD therefore requires a better understanding of the interconnected social and ecological variables (i.e., the social-ecological system) that favor disease (re)-emergence. The One Health paradigm recognizes the interdependence of human, animal and environmental health and proposes an integrated approach to manage TBD. However, One Health interventions are limited by significant gaps in our understanding of the complex, systemic nature of TBD risk, in addition to a lack of effective, universally accepted and environmentally conscious tick control measures. Today individual prevention gestures are the most effective strategy to manage TBDs in humans and animals, making local communities important actors in TBD detection, prevention and management. Yet, how they engage and collaborate within a multi-actor TBD network has not yet been explored. Here, we argue that transdisciplinary collaborations that go beyond research, political and medical stakeholders, and extend to local community actors can aid in identifying relevant social-ecological risk indicators key for informing multi-level TBD detection, prevention and management measures. This article proposes a transdisciplinary social-ecological systems framework, based on participatory research approaches, to better understand the necessary conditions for local actor engagement to improve TBD risk. We conclude with perspectives for implementing this methodological framework in a case study in the south of France (Occitanie region), where multi-actor collaborations are mobilized to stimulate multi-actor collective action and identify relevant social-ecological indicators of TBD risk.
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Affiliation(s)
- Iyonna Zortman
- Joint Research Unit Animal, Health, Territories, Risks, Ecosystems (UMR ASTRE), French Agricultural Research Centre for International Development (CIRAD), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France
| | - Michel de Garine-Wichatitsky
- Joint Research Unit Animal, Health, Territories, Risks, Ecosystems (UMR ASTRE), French Agricultural Research Centre for International Development (CIRAD), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France
- Kasetsart University, Faculty of Veterinary Medicine, Bangkok, Thailand
| | - Elena Arsevska
- Joint Research Unit Animal, Health, Territories, Risks, Ecosystems (UMR ASTRE), French Agricultural Research Centre for International Development (CIRAD), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France
| | - Timothée Dub
- Infectious Disease Control and Vaccination Unit, Department of Health Security, Finnish Institute for Health and Welfare (THL), Unit Po Box 30. FI-00271 Helsinki, Finland
| | - Wim Van Bortel
- Unit Entomology and Outbreak Research Team, Department of Biomedical Sciences, Institute of Tropical Medicine, Nationalestraat, 155, Antwerpen, Belgium
| | - Estelle Lefrançois
- LIRDEF, Université de Montpellier and Université Paul Valéry Montpellier, France
| | - Laurence Vial
- Joint Research Unit Animal, Health, Territories, Risks, Ecosystems (UMR ASTRE), French Agricultural Research Centre for International Development (CIRAD), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France
| | - Thomas Pollet
- Joint Research Unit Animal, Health, Territories, Risks, Ecosystems (UMR ASTRE), French Agricultural Research Centre for International Development (CIRAD), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France
| | - Aurélie Binot
- Joint Research Unit Animal, Health, Territories, Risks, Ecosystems (UMR ASTRE), French Agricultural Research Centre for International Development (CIRAD), National Research Institute for Agriculture, Food and Environment (INRAE), Montpellier, France
- Maison des Sciences de l'Homme Sud, Montpellier, France
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7
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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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8
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de la Fuente J, Estrada-Peña A, Rafael M, Almazán C, Bermúdez S, Abdelbaset AE, Kasaija PD, Kabi F, Akande FA, Ajagbe DO, Bamgbose T, Ghosh S, Palavesam A, Hamid PH, Oskam CL, Egan SL, Duarte-Barbosa A, Hekimoğlu O, Szabó MPJ, Labruna MB, Dahal A. Perception of Ticks and Tick-Borne Diseases Worldwide. Pathogens 2023; 12:1258. [PMID: 37887774 PMCID: PMC10610181 DOI: 10.3390/pathogens12101258] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 10/28/2023] Open
Abstract
In this comprehensive review study, we addressed the challenge posed by ticks and tick-borne diseases (TBDs) with growing incidence affecting human and animal health worldwide. Data and perspectives were collected from different countries and regions worldwide, including America, Europe, Africa, Asia, and Oceania. The results updated the current situation with ticks and TBD and how it is perceived by society with information bias and gaps. The study reinforces the importance of multidisciplinary and international collaborations to advance in the surveillance, communication and proposed future directions to address these challenges.
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Affiliation(s)
- José de la Fuente
- SaBio, Instituto de Investigación en Recursos Cinegéticos, IREC-CSIC-UCLM-JCCM, Ronda de Toledo 12, 13005 Ciudad Real, Spain;
- Department of Veterinary Pathobiology, Center for Veterinary Health Sciences, Oklahoma State University, Stillwater, OK 74078, USA
| | - Agustín Estrada-Peña
- Department of Animal Health, Faculty of Veterinary Medicine, University of Zaragoza, 50013 Zaragoza, Spain
- Research Group in Emerging Zoonoses, Instituto Agroalimentario de Aragón-IA2, Universidad de Zaragoza-CITA, 50013 Zaragoza, Spain
| | - Marta Rafael
- SaBio, Instituto de Investigación en Recursos Cinegéticos, IREC-CSIC-UCLM-JCCM, Ronda de Toledo 12, 13005 Ciudad Real, Spain;
| | - Consuelo Almazán
- Facultad de Ciencias Naturales, Universidad Autonóma de Querétaro, Avenida de las Ciencias S/N Juriquilla, Querétaro 76230, Mexico;
| | - Sergio Bermúdez
- Medical Entomology Research Department, Gorgas Memorial Institute for Health Research, Panama City 0816-02593, Panama;
| | - Abdelbaset E. Abdelbaset
- Laboratory of Parasitology, Graduate School of Infectious Diseases, Faculty of Veterinary Medicine, Hokkaido University, Kita-18, Nishi-9, Sapporo 060-0818, Hokkaido, Japan;
| | - Paul D. Kasaija
- National Livestock Resources Research Institute (NaLIRRI/NARO), Kampala P.O. Box 5704, Uganda; (P.D.K.); (F.K.)
| | - Fredrick Kabi
- National Livestock Resources Research Institute (NaLIRRI/NARO), Kampala P.O. Box 5704, Uganda; (P.D.K.); (F.K.)
| | - Foluke Adedayo Akande
- Department of Veterinary Parasitology and Entomology, College of Veterinary Medicine, Federal University of Agriculture, Abeokuta 111101, Ogun State, Nigeria;
| | - Dorcas Oluwakemi Ajagbe
- Department of Pure and Applied Zoology, College of Biological Sciences, Federal University of Agriculture, Abeokuta 111101, Ogun State, Nigeria;
| | - Timothy Bamgbose
- Department of Biological Sciences, Microbiology Unit, Faculty of Science, Kings University, Ode-Omu City 221102, Osun State, Nigeria;
| | - Srikant Ghosh
- Entomology Laboratory, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, Uttar Pradesh, India;
- IVRI-Eastern Regional Station, 37, Belgachia Road, Kolkata 700037, West Bengal, India
| | - Azhahianambi Palavesam
- Translational Research Platform for Veterinary Biologicals, Centre for Animal Health Studies, Tamil Nadu Veterinary and Animal Sciences University, Chennai 600051, Tamil Nadu, India;
| | - Penny H. Hamid
- Department of Animal Science, Universitas Sebelas Maret, Surakarta 57126, Indonesia;
| | - Charlotte L. Oskam
- School of Medical, Molecular and Forensic Sciences, Murdoch University, Perth, WA 6150, Australia; (C.L.O.); (S.L.E.)
- Centre for One Health and Biosecurity, Harry Butler Institute, Murdoch University, Perth, WA 6150, Australia;
| | - Siobhon L. Egan
- School of Medical, Molecular and Forensic Sciences, Murdoch University, Perth, WA 6150, Australia; (C.L.O.); (S.L.E.)
- Centre for One Health and Biosecurity, Harry Butler Institute, Murdoch University, Perth, WA 6150, Australia;
| | - Amanda Duarte-Barbosa
- Centre for One Health and Biosecurity, Harry Butler Institute, Murdoch University, Perth, WA 6150, Australia;
- School of Veterinary Medicine, Murdoch University, Perth, WA 6150, Australia
| | - Olcay Hekimoğlu
- Division of Ecology, Faculty of Science, Hacettepe University, Beytepe, Ankara 06800, Turkey;
| | - Matias P. J. Szabó
- Laboratório de Ixodologia, Faculdade de Medicina Veterinária, Universidade Federal de Uberlândia, Av. Pará, 1720/Campus Umuarama-Bloco 2T, Uberlândia 38400-902, Brazil;
| | - Marcelo B. Labruna
- Faculty of Veterinary Medicine and Animal Science, University of São Paulo, Sao Paulo 05508-220, Brazil;
| | - Ananta Dahal
- Department of Microbiology and Parasitology, Faculty of Animal Science, Veterinary Science and Fisheries, Agriculture and Forestry University, Chitwan 44200, Nepal;
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9
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Zakham F, Korhonen EM, Puonti PT, Castrén RS, Uusitalo R, Smura T, Kant R, Vapalahti O, Sironen T, Kinnunen PM. Molecular detection of pathogens from ticks collected from dogs and cats at veterinary clinics in Finland. Parasit Vectors 2023; 16:327. [PMID: 37704990 PMCID: PMC10498522 DOI: 10.1186/s13071-023-05864-4] [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: 03/15/2023] [Accepted: 07/04/2023] [Indexed: 09/15/2023] Open
Abstract
BACKGROUND Ticks carry microbes, some of which are pathogenic for humans and animals. To assess this One Health challenge, 342 ticks were collected from pet dogs and cats at 10 veterinary clinics in Finland as part of the European project "Protect Our Future Too". METHODS The tick species were identified, and ticks were screened with quantitative PCR (qPCR) for tick-borne pathogens, including Borrelia burgdorferi sensu lato, Borrelia miyamotoi, Ehrlichia canis, Anaplasma spp., Candidatus Neoehrlichia mikurensis, tick-borne encephalitis virus (TBEV), and Babesia spp. For comparison, a subset of tick DNA (20 qPCR-positive samples) was analysed with 16S next-generation sequencing (NGS). RESULTS Most ticks were Ixodes ricinus (289, 84.5%), followed by Ixodes persulcatus (51, 14.9%). One hybrid tick (I. ricinus/I. persulcatus, 0.3%) and one Rhipicephalus sanguineus tick (0.3%) were identified. We found one or more of the analysed pathogens in 17% (59/342) of the ticks. The most prevalent pathogen was B. burgdorferi s.l. (36, 10.5%), followed by Anaplasma phagocytophilum (12, 3.5%), B. miyamotoi (5, 1.5%), Babesia venatorum (4, 1.2%), and TBEV (1, 0.3%). Candidatus Neoehrlichia mikurensis DNA was amplified from three (0.9%) ticks. Ehrlichia canis was not detected. In the 16S NGS, six samples produced enough reads for the analysis. In these six samples, we confirmed all the positive qPCR findings of Borrelia spp. and Ca. N. mikurensis. CONCLUSIONS The high prevalence of pathogenic microorganisms in the ticks of this study emphasizes the importance of awareness of ticks and tick-borne diseases and prevention. Furthermore, the results show that veterinary surveillance can facilitate early detection of tick-borne pathogens and new tick species and draw attention to possible co-infections that should be considered both in symptomatic humans and animals after tick bites.
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Affiliation(s)
- 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
- Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Essi M Korhonen
- Department of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
| | - Petteri T Puonti
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
| | - Robert S Castrén
- Department of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Ruut Uusitalo
- Department of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
- Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland
| | - Teemu Smura
- Department of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Clinical Microbiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Ravi Kant
- Department of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
| | - Olli Vapalahti
- Department of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
- Clinical Microbiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Tarja Sironen
- Department of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
| | - Paula M Kinnunen
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland.
- Companion Animal Business Unit, Nordic Cluster, MSD Animal Health, Espoo, Finland.
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10
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Pustijanac E, Buršić M, Talapko J, Škrlec I, Meštrović T, Lišnjić D. Tick-Borne Encephalitis Virus: A Comprehensive Review of Transmission, Pathogenesis, Epidemiology, Clinical Manifestations, Diagnosis, and Prevention. Microorganisms 2023; 11:1634. [PMID: 37512806 PMCID: PMC10383662 DOI: 10.3390/microorganisms11071634] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/13/2023] [Accepted: 06/20/2023] [Indexed: 07/30/2023] Open
Abstract
Tick-borne encephalitis virus (TBEV), a member of the Flaviviridae family, can cause serious infection of the central nervous system in humans, resulting in potential neurological complications and fatal outcomes. TBEV is primarily transmitted to humans through infected tick bites, and the viral agent circulates between ticks and animals, such as deer and small mammals. The occurrence of the infection aligns with the seasonal activity of ticks. As no specific antiviral therapy exists for TBEV infection, treatment approaches primarily focus on symptomatic relief and support. Active immunization is highly effective, especially for individuals in endemic areas. The burden of TBEV infections is increasing, posing a growing health concern. Reported incidence rates rose from 0.4 to 0.9 cases per 100,000 people between 2015 and 2020. The Baltic and Central European countries have the highest incidence, but TBE is endemic across a wide geographic area. Various factors, including social and environmental aspects, improved medical awareness, and advanced diagnostics, have contributed to the observed increase. Diagnosing TBEV infection can be challenging due to the non-specific nature of the initial symptoms and potential co-infections. Accurate diagnosis is crucial for appropriate management, prevention of complications, and effective control measures. In this comprehensive review, we summarize the molecular structure of TBEV, its transmission and circulation in natural environments, the pathogenesis of TBEV infection, the epidemiology and global distribution of the virus, associated risk factors, clinical manifestations, and diagnostic approaches. By improving understanding of these aspects, we aim to enhance knowledge and promote strategies for timely and accurate diagnosis, appropriate management, and the implementation of effective control measures against TBEV infections.
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Affiliation(s)
- Emina Pustijanac
- Faculty of Natural Sciences, Juraj Dobrila University of Pula, 52100 Pula, Croatia
| | - Moira Buršić
- Faculty of Natural Sciences, Juraj Dobrila University of Pula, 52100 Pula, Croatia
| | - Jasminka Talapko
- Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, Crkvena 21, 31000 Osijek, Croatia
| | - Ivana Škrlec
- Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, Crkvena 21, 31000 Osijek, Croatia
| | - Tomislav Meštrović
- University Centre Varaždin, University North, 42000 Varaždin, Croatia
- Institute for Health Metrics and Evaluation and the Department of Health Metrics Sciences, University of Washington, Seattle, WA 98195, USA
| | - Dubravka Lišnjić
- Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, Crkvena 21, 31000 Osijek, Croatia
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Josipa Huttlera 4, 31000 Osijek, Croatia
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11
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Noll M, Wall R, Makepeace BL, Vineer HR. Distribution of ticks in the Western Palearctic: an updated systematic review (2015-2021). Parasit Vectors 2023; 16:141. [PMID: 37095583 PMCID: PMC10127368 DOI: 10.1186/s13071-023-05773-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/12/2023] [Indexed: 04/26/2023] Open
Abstract
BACKGROUND The distributions of ticks and tick-borne pathogens are thought to have changed rapidly over the last two decades, with their ranges expanding into new regions. This expansion has been driven by a range of environmental and socio-economic factors, including climate change. Spatial modelling is being increasingly used to track the current and future distributions of ticks and tick-borne pathogens and to assess the associated disease risk. However, such analysis is dependent on high-resolution occurrence data for each species. To facilitate such analysis, in this review we have compiled georeferenced tick locations in the Western Palearctic, with a resolution accuracy under 10 km, that were reported between 2015 and 2021 METHODS: The PubMed and Web of Science databases were searched for peer-reviewed papers documenting the distribution of ticks that were published between 2015 and 2021, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The papers were then screened and excluded in accordance with the PRISMA flow chart. Coordinate-referenced tick locations along with information on identification and collection methods were extracted from each eligible publication. Spatial analysis was conducted using R software (version 4.1.2). RESULTS From the 1491 papers identified during the initial search, 124 met the inclusion criteria, and from these, 2267 coordinate-referenced tick records from 33 tick species were included in the final dataset. Over 30% of articles did not record the tick location adequately to meet inclusion criteria, only providing a location name or general location. Among the tick records, Ixodes ricinus had the highest representation (55%), followed by Dermacentor reticulatus (22.1%) and Ixodes frontalis (4.8%). The majority of ticks were collected from vegetation, with only 19.1% collected from hosts. CONCLUSIONS The data presented provides a collection of recent high-resolution, coordinate-referenced tick locations for use in spatial analyses, which in turn can be used in combination with previously collated datasets to analyse the changes in tick distribution and research in the Western Palearctic. In the future it is recommended that, where data privacy rules allow, high-resolution methods are routinely used by researchers to geolocate tick samples and ensure their work can be used to its full potential.
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Affiliation(s)
- Madeleine Noll
- Institute of 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 Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Hannah Rose Vineer
- Institute of Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
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12
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Saegerman C, Humblet MF, Leandri M, Gonzalez G, Heyman P, Sprong H, L’Hostis M, Moutailler S, Bonnet SI, Haddad N, Boulanger N, Leib SL, Hoch T, Thiry E, Bournez L, Kerlik J, Velay A, Jore S, Jourdain E, Gilot-Fromont E, Brugger K, Geller J, Studahl M, Knap N, Avšič-Županc T, Růžek D, Zomer TP, Bødker R, Berger TFH, Martin-Latil S, De Regge N, Raffetin A, Lacour SA, Klein M, Lernout T, Quillery E, Hubálek Z, Ruiz-Fons F, Estrada-Peña A, Fravalo P, Kooh P, Etore F, Gossner CM, Purse B. First Expert Elicitation of Knowledge on Possible Drivers of Observed Increasing Human Cases of Tick-Borne Encephalitis in Europe. Viruses 2023; 15:v15030791. [PMID: 36992499 PMCID: PMC10054665 DOI: 10.3390/v15030791] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 03/11/2023] [Accepted: 03/17/2023] [Indexed: 03/29/2023] Open
Abstract
Tick-borne encephalitis (TBE) is a viral disease endemic in Eurasia. The virus is mainly transmitted to humans via ticks and occasionally via the consumption of unpasteurized milk products. The European Centre for Disease Prevention and Control reported an increase in TBE incidence over the past years in Europe as well as the emergence of the disease in new areas. To better understand this phenomenon, we investigated the drivers of TBE emergence and increase in incidence in humans through an expert knowledge elicitation. We listed 59 possible drivers grouped in eight domains and elicited forty European experts to: (i) allocate a score per driver, (ii) weight this score within each domain, and (iii) weight the different domains and attribute an uncertainty level per domain. An overall weighted score per driver was calculated, and drivers with comparable scores were grouped into three terminal nodes using a regression tree analysis. The drivers with the highest scores were: (i) changes in human behavior/activities; (ii) changes in eating habits or consumer demand; (iii) changes in the landscape; (iv) influence of humidity on the survival and transmission of the pathogen; (v) difficulty to control reservoir(s) and/or vector(s); (vi) influence of temperature on virus survival and transmission; (vii) number of wildlife compartments/groups acting as reservoirs or amplifying hosts; (viii) increase of autochthonous wild mammals; and (ix) number of tick species vectors and their distribution. Our results support researchers in prioritizing studies targeting the most relevant drivers of emergence and increasing TBE incidence.
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Affiliation(s)
- Claude Saegerman
- Fundamental and Applied Research for Animal and Health (FARAH) Center, University of Liege, 4000 Liege, Belgium
- Correspondence:
| | - Marie-France Humblet
- Department for Occupational Protection and Hygiene, Unit Biosafety, Biosecurity and Environmental Licences, University of Liege, 4000 Liege, Belgium
| | - Marc Leandri
- UMI SOURCE, Université Paris-Saclay—UVSQ, 78000 Versailles, France
| | - Gaëlle Gonzalez
- ANSES, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR VIROLOGIE, Laboratoire de Santé Animale, 94700 Maisons-Alfort, France
| | | | - Hein Sprong
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, 3720 MA Bilthoven, The Netherlands
| | - Monique L’Hostis
- Ecole Nationale Vétérinaire Agroalimentaire et de l’Alimentation Nantes-Atlantique, Oniris, 44307 Nantes, France
| | - Sara Moutailler
- ANSES, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, 94700 Maisons-Alfort, France
| | - Sarah I. Bonnet
- UMR 2000 Institut Pasteur-CNRS-Université Paris-Cité, Ecology and Emergence of Arthropod-borne Pathogens, 75015 Paris, France
- Animal Health Department, INRAE, 37380 Nouzilly, France
| | - Nadia Haddad
- ANSES, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, 94700 Maisons-Alfort, France
| | - Nathalie Boulanger
- UR7290: VBP: Borrelia Group, France and French Reference Centre on Lyme Borreliosis, CHRU, Unversity of Strasbourg, 67000 Strasbourg, France
| | - Stephen L. Leib
- Institute for Infectious Diseases, University of Bern, 3001 Bern, Switzerland
| | | | - Etienne Thiry
- Fundamental and Applied Research for Animal and Health (FARAH) Center, University of Liege, 4000 Liege, Belgium
| | - Laure Bournez
- ANSES, Nancy Laboratory for Rabies and Wildlife, 54220 Malzéville, France
| | - Jana Kerlik
- Department of Epidemiology, Regional Authority of Public Health in Banská Bystrica, 497556 Banská Bystrica, Slovakia
| | - Aurélie Velay
- Unité Mixte de Recherché Immunorhumathologie Moléculaire (UMR IRM_S) 1109, Université de Strasbourg, INSERM, 67000 Strasbourg, France
| | - Solveig Jore
- Zoonotic, Water and Foodborne Infections, The Norwegian Institute for Public Health (NIPH), 0213 Oslo, Norway
| | - Elsa Jourdain
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, Route de Theix, 63122 Saint-Genès-Champanelle, France
| | | | - Katharina Brugger
- Competence Center Climate and Health, Austrian National Institute of Public Health, 1010 Vienna, Austria
| | - Julia Geller
- Department of Virology and Immunology, National Institute for Health Development, 11619 Tallinn, Estonia
| | - Marie Studahl
- Institute of Biomedicine, Department of Infectious Diseases, University of Gothenburg, 41685 Gothenburg, Sweden
| | - Nataša Knap
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška cesta 4, 1000 Ljubljana, Slovenia
| | - Tatjana Avšič-Županc
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška cesta 4, 1000 Ljubljana, Slovenia
| | - Daniel Růžek
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, 37005 Ceske Budejovice, Czech Republic
- Department of Experimental Biology, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic
- Department of Infectious Diseases and Preventive Medicine, Veterinary Research Institute, 62100 Brno, Czech Republic
| | - Tizza P. Zomer
- Lyme Center Apeldoorn, Gelre Hospital, 7300 DS Apeldoorn, The Netherlands
| | - René Bødker
- Animal Welfare and Disease Control, Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 1870 Frederiksberg, Denmark
| | - Thomas F. H. Berger
- Agroscope, Risk Evaluation and Risk Mitigation, Schwarzenburgstrasse, 3003 Bern-Liebefeld, Switzerland
| | - Sandra Martin-Latil
- Laboratory for Food Safety, ANSES, University of Paris-EST, 94700 Maisons-Alfort, France
| | - Nick De Regge
- Operational Direction Infectious Diseases in Animals, Unit of Exotic and Vector-borne Diseases, Sciensano, 1180 Brussels, Belgium
| | - Alice Raffetin
- Reference Centre for Tick-Borne Diseases, Paris and Northern Region, Department of Infectious Diseases, General Hospital of Villeneuve-Saint-Georges, 94100 Villeneuve-Saint-Georges, France
| | - Sandrine A. Lacour
- ANSES, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR VIROLOGIE, Laboratoire de Santé Animale, 94700 Maisons-Alfort, France
| | - Matthias Klein
- Neurologische Klinik und Poliklinik, Klinikum der Universität München, LMU München, Marchioninistraße 15, 81377 München, Germany
| | - Tinne Lernout
- Scientific Directorate of Epidemiology and Public Health, Sciensano, 1180 Brussels, Belgium
| | - Elsa Quillery
- ANSES, Risk Assessment Department, 94700 Maisons-Alfort, France
| | - Zdeněk Hubálek
- Institute of Vertebrate Biology, Czech Academy of Sciences, Květná 8, 60365 Brno, Czech Republic
| | - Francisco Ruiz-Fons
- Health & Biotechnology (SaBio) Group, Instituto de Investigación en Recursos Cinegéticos (IREC), CSIC-UCLM-JCCM, 13071 Ciudad Real, Spain
| | - Agustín Estrada-Peña
- Deptartment of Animal Health, Faculty of Veterinary Medicine, 50013 Zaragoza, Spain
| | - Philippe Fravalo
- Pôle Agroalimentaire, Conservatoire National des Arts et Métiers (Cnam), 75003 Paris, France
| | - Pauline Kooh
- ANSES, Risk Assessment Department, 94700 Maisons-Alfort, France
| | - Florence Etore
- ANSES, Risk Assessment Department, 94700 Maisons-Alfort, France
| | - Céline M. Gossner
- European Centre for Disease Prevention and Control (ECDC), 17183 Solna, Sweden
| | - Bethan Purse
- UK Centre for Ecology & Hydrology, Benson Lane, Crowmarsh Gifford, Oxfordshire OX10 8BB, UK
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