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      Risk of tick-borne pathogen spillover into urban yards in New York City

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          Abstract

          Background

          The incidence of tick-borne disease has increased dramatically in recent decades, with urban areas increasingly recognized as high-risk environments for exposure to infected ticks. Green spaces may play a key role in facilitating the invasion of ticks, hosts and pathogens into residential areas, particularly where they connect residential yards with larger natural areas (e.g. parks). However, the factors mediating tick distribution across heterogeneous urban landscapes remain poorly characterized.

          Methods

          Using generalized linear models in a multimodel inference framework, we determined the residential yard- and local landscape-level features associated with the presence of three tick species of current and growing public health importance in residential yards across Staten Island, a borough of New York City, in the state of New York, USA.

          Results

          The amount and configuration of canopy cover immediately surrounding residential yards was found to strongly predict the presence of Ixodes scapularis and Amblyomma americanum, but not that of Haemaphysalis longicornis. Within yards, we found a protective effect of fencing against I. scapularis and A. americanum, but not against H. longicornis. For all species, the presence of log and brush piles strongly increased the odds of finding ticks in yards.

          Conclusions

          The results highlight a considerable risk of tick exposure in residential yards in Staten Island and identify both yard- and landscape-level features associated with their distribution. In particular, the significance of log and brush piles for all three species supports recommendations for yard management as a means of reducing contact with ticks.

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          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13071-022-05416-2.

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          Most cited references112

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          FactoMineR: AnRPackage for Multivariate Analysis

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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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              Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery

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                Author and article information

                Contributors
                ng2455@columbia.edu
                pilar.fernandez@wsu.edu
                mad2246@columbia.edu
                Journal
                Parasit Vectors
                Parasit Vectors
                Parasites & Vectors
                BioMed Central (London )
                1756-3305
                10 August 2022
                10 August 2022
                2022
                : 15
                : 288
                Affiliations
                [1 ]GRID grid.21729.3f, ISNI 0000000419368729, Department of Ecology, Evolution and Environmental Biology, , Columbia University, ; New York, NY USA
                [2 ]GRID grid.21729.3f, ISNI 0000000419368729, Earth Institute, , Columbia University, ; New York, NY USA
                [3 ]GRID grid.30064.31, ISNI 0000 0001 2157 6568, Paul G. Allen School for Global Health, , Washington State University, ; Pullman, WA USA
                Article
                5416
                10.1186/s13071-022-05416-2
                9365221
                35948911
                09cd2463-c5e6-46ff-b0ae-eb284e0c41d4
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 12 April 2022
                : 27 July 2022
                Funding
                Funded by: National Science Foundation's Coupled Natural Human Systems 2/Dynamics of Integrated Socio-Environmental Systems
                Award ID: 1924061
                Award ID: 1924061
                Award ID: 1924061
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000030, Centers for Disease Control and Prevention;
                Award ID: U01CK000509-01
                Award Recipient :
                Funded by: Northeast Regional Center for Excellence in Vector Borne Diseases
                Award ID: U01CK000509-01
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Parasitology
                ixodes,haemaphysalis,amblyomma,urban tick-borne disease,landscape metrics
                Parasitology
                ixodes, haemaphysalis, amblyomma, urban tick-borne disease, landscape metrics

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