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      Lyme disease ecology in a changing world: consensus, uncertainty and critical gaps for improving control

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          Abstract

          Lyme disease is the most common tick-borne disease in temperate regions of North America, Europe and Asia, and the number of reported cases has increased in many regions as landscapes have been altered. Although there has been extensive work on the ecology and epidemiology of this disease in both Europe and North America, substantial uncertainty exists about fundamental aspects that determine spatial and temporal variation in both disease risk and human incidence, which hamper effective and efficient prevention and control. Here we describe areas of consensus that can be built on, identify areas of uncertainty and outline research needed to fill these gaps to facilitate predictive models of disease risk and the development of novel disease control strategies. Key areas of uncertainty include: (i) the precise influence of deer abundance on tick abundance, (ii) how tick populations are regulated, (iii) assembly of host communities and tick-feeding patterns across different habitats, (iv) reservoir competence of host species, and (v) pathogenicity for humans of different genotypes of Borrelia burgdorferi Filling these knowledge gaps will improve Lyme disease prevention and control and provide general insights into the drivers and dynamics of this emblematic multi-host-vector-borne zoonotic disease.This article is part of the themed issue 'Conservation, biodiversity and infectious disease: scientific evidence and policy implications'.

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          Most cited references145

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          Lyme borreliosis.

          Lyme borreliosis (Lyme disease) is caused by spirochaetes of the Borrelia burgdorferi sensu lato species complex, which are transmitted by ticks. The most common clinical manifestation is erythema migrans, which eventually resolves, even without antibiotic treatment. However, the infecting pathogen can spread to other tissues and organs, causing more severe manifestations that can involve a patient's skin, nervous system, joints, or heart. The incidence of this disease is increasing in many countries. Laboratory evidence of infection, mainly serology, is essential for diagnosis, except in the case of typical erythema migrans. Diagnosed cases are usually treated with antibiotics for 2-4 weeks and most patients make an uneventful recovery. No convincing evidence exists to support the use of antibiotics for longer than 4 weeks, or for the persistence of spirochaetes in adequately treated patients. Prevention is mainly accomplished by protecting against tick bites. There is no vaccine available for human beings. Copyright © 2012 Elsevier Ltd. All rights reserved.
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            The ecology of infectious disease: effects of host diversity and community composition on Lyme disease risk.

            The extent to which the biodiversity and community composition of ecosystems affect their functions is an issue that grows ever more compelling as human impacts on ecosystems increase. We present evidence that supports a novel function of vertebrate biodiversity, the buffering of human risk of exposure to Lyme-disease-bearing ticks. We tested the Dilution Effect model, which predicts that high species diversity in the community of tick hosts reduces vector infection prevalence by diluting the effects of the most competent disease reservoir, the ubiquitous white-footed mouse (Peromyscus leucopus). As habitats are degraded by fragmentation or other anthropogenic forces, some members of the host community disappear. Thus, species-poor communities tend to have mice, but few other hosts, whereas species-rich communities have mice, plus many other potential hosts. We demonstrate that the most common nonmouse hosts are relatively poor reservoirs for the Lyme spirochete and should reduce the prevalence of the disease by feeding, but rarely infecting, ticks. By accounting for nearly every host species' contribution to the number of larval ticks fed and infected, we show that as new host species are added to a depauperate community, the nymphal infection prevalence, a key risk factor, declines. We identify important "dilution hosts" (e.g., squirrels), characterized by high tick burdens, low reservoir competence, and high population density, as well as "rescue hosts" (e.g., shrews), which are capable of maintaining high disease risk when mouse density is low. Our study suggests that the preservation of vertebrate biodiversity and community composition can reduce the incidence of Lyme disease.
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              Spatial epidemiology: an emerging (or re-emerging) discipline.

              Spatial epidemiology is the study of spatial variation in disease risk or incidence. Several ecological processes can result in strong spatial patterns of such risk or incidence: for example, pathogen dispersal might be highly localized, vectors or reservoirs for pathogens might be spatially restricted, or susceptible hosts might be clumped. Here, we briefly describe approaches to spatial epidemiology that are spatially implicit, such as metapopulation models of disease transmission, and then focus on research in spatial epidemiology that is spatially explicit, such as the creation of risk maps for particular geographical areas. Although the spatial dynamics of infectious diseases are the subject of intensive study, the impacts of landscape structure on epidemiological processes have so far been neglected. The few studies that demonstrate how landscape composition (types of elements) and configuration (spatial positions of those elements) influence disease risk or incidence suggest that a true integration of landscape ecology with epidemiology will be fruitful.
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                Author and article information

                Journal
                Philosophical Transactions of the Royal Society B: Biological Sciences
                Phil. Trans. R. Soc. B
                The Royal Society
                0962-8436
                1471-2970
                April 24 2017
                June 05 2017
                April 24 2017
                June 05 2017
                : 372
                : 1722
                : 20160117
                Affiliations
                [1 ]Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95064, USA
                [2 ]School of GeoSciences, University of Edinburgh, Edinburgh, UK
                [3 ]Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR 97331, USA
                [4 ]Department of Biology, Colorado State University, Fort Collins, CO 80523, USA
                [5 ]Department of Biology, San Francisco State University, San Francisco, CA 94132, USA
                [6 ]USGS Patuxent Wildlife Research Center, RI Field Station, University of Rhode Island, Kingston, RI 02881, USA
                [7 ]Vector-Borne Disease Section, Division of Communicable Disease Control, California Department of Public Health, Center for Infectious Diseases, Sacramento, CA 95814, USA
                [8 ]Department of Plant and Environmental Science, University of Copenhagen, 1871 Frederiksberg C, Denmark
                [9 ]Department of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA
                [10 ]Public Health Risk Sciences, National Microbiology Laboratory, Public Health Agency of Canada, 3200 Sicotte, Saint-Hyacinthe, Quebec, J2S 7C6, Canada
                [11 ]Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY 10027, USA
                Article
                10.1098/rstb.2016.0117
                5413869
                28438910
                65c95c46-5752-41f1-8868-d02cde016016
                © 2017

                http://royalsocietypublishing.org/licence

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