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      Possible expansion of Ixodes ricinus in the United Kingdom identified through the Tick Surveillance Scheme between 2013 and 2020

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          Abstract

          The tick Ixodes ricinus (Ixodida: Ixodidae, Linnaeus) is the main vector of several pathogens including Borrelia burgdorferi s.l. (agent of Lyme borreliosis) and tick‐borne encephalitis virus. Its distribution depends on many factors including suitable habitat, climate and presence of hosts. In this study, we present records of I. ricinus bites on humans, dogs ( Canis lupus familiaris; Carnivora: Canidae, L.) and cats ( Felis catus; Carnivora: Felidiae, L.) in the United Kingdom (UK) obtained through the Tick Surveillance Scheme between 2013 and 2020. We divided the UK into 20 km x 20 km grids and 9.2% (range 1.2%–30%) of grids had at least one record every year since 2013. Most regions reported a yearly increase in the percentage of grids reporting I. ricinus since 2013 and the highest changes occurred in the South and East England with 5%–6.7% of new grids reporting I. ricinus bites each year in areas that never reported ticks before. Spatiotemporal analyses suggested that, while all regions recorded I. ricinus in new areas every year, there was a yearly decline in the percentage of new areas covered, except for Scotland. We discuss potential drivers of tick expansion, including reforestation and increase in deer populations.

          Abstract

          • When dividing the United Kingdom (UK) in 20 × 20 km grids, 9.2% of grids reported at least one Ixodes ricinus bite every year since 2013. Most regions in the UK reported a yearly increase in the percentage of grids reporting tick bites since 2013. South and East England reported the highest increase with 5%–6.7% of new grids reporting tick bites each year in areas that never recorded I. ricinus before.

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          Fitting Linear Mixed-Effects Models Using lme4

          Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evaluated as a function of some of the model parameters. The appropriate criterion is optimized, using one of the constrained optimization functions in R, to provide the parameter estimates. We describe the structure of the model, the steps in evaluating the profiled deviance or REML criterion, and the structure of classes or types that represents such a model. Sufficient detail is included to allow specialization of these structures by users who wish to write functions to fit specialized linear mixed models, such as models incorporating pedigrees or smoothing splines, that are not easily expressible in the formula language used by lmer. Journal of Statistical Software, 67 (1) ISSN:1548-7660
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            Simple Features for R: Standardized Support for Spatial Vector Data

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              Driving forces for changes in geographical distribution of Ixodes ricinus ticks in Europe

              Many factors are involved in determining the latitudinal and altitudinal spread of the important tick vector Ixodes ricinus (Acari: Ixodidae) in Europe, as well as in changes in the distribution within its prior endemic zones. This paper builds on published literature and unpublished expert opinion from the VBORNET network with the aim of reviewing the evidence for these changes in Europe and discusses the many climatic, ecological, landscape and anthropogenic drivers. These can be divided into those directly related to climatic change, contributing to an expansion in the tick’s geographic range at extremes of altitude in central Europe, and at extremes of latitude in Scandinavia; those related to changes in the distribution of tick hosts, particularly roe deer and other cervids; other ecological changes such as habitat connectivity and changes in land management; and finally, anthropogenically induced changes. These factors are strongly interlinked and often not well quantified. Although a change in climate plays an important role in certain geographic regions, for much of Europe it is non-climatic factors that are becoming increasingly important. How we manage habitats on a landscape scale, and the changes in the distribution and abundance of tick hosts are important considerations during our assessment and management of the public health risks associated with ticks and tick-borne disease issues in 21st century Europe. Better understanding and mapping of the spread of I. ricinus (and changes in its abundance) is, however, essential to assess the risk of the spread of infections transmitted by this vector species. Enhanced tick surveillance with harmonized approaches for comparison of data enabling the follow-up of trends at EU level will improve the messages on risk related to tick-borne diseases to policy makers, other stake holders and to the general public.
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                Author and article information

                Contributors
                sara.gandy@ukhsa.gov.uk
                Journal
                Med Vet Entomol
                Med Vet Entomol
                10.1111/(ISSN)1365-2915
                MVE
                Medical and Veterinary Entomology
                Blackwell Publishing Ltd (Oxford, UK )
                0269-283X
                1365-2915
                14 October 2022
                March 2023
                : 37
                : 1 ( doiID: 10.1111/mve.v37.1 )
                : 96-104
                Affiliations
                [ 1 ] Medical Entomology & Zoonoses Ecology UK Health Security Agency Salisbury UK
                [ 2 ] NIHR Health Protection Research Unit in Environmental Change and Health London UK
                Author notes
                [*] [* ] Correspondence

                Sara L. Gandy, Medical Entomology & Zoonoses Ecology, UK Health Security Agency, Porton Down, Salisbury, UK

                Email: sara.gandy@ 123456ukhsa.gov.uk

                Author information
                https://orcid.org/0000-0003-2579-4479
                Article
                MVE12612
                10.1111/mve.12612
                10092138
                36239468
                67685d4e-6ac8-4c5e-8970-d7d18d32c2d8
                © 2022 Crown copyright. Medical and Veterinary Entomology published by John Wiley & Sons Ltd on behalf of Royal Entomological Society. This article is published with the permission of the Controller of HMSO and the Queen's Printer for Scotland.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 May 2022
                : 09 September 2022
                Page count
                Figures: 4, Tables: 3, Pages: 9, Words: 6787
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                March 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:12.04.2023

                borrelia burgdorferi s.l,distribution,surveillance,vector,vector‐borne disease

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