Näytä suppeat kuvailutiedot

dc.contributor.authorDong, Yuting
dc.contributor.authorHuang, Zheng
dc.contributor.authorZhang, Yong
dc.contributor.authorWang, X.G. Yingying
dc.contributor.authorLa, Yang
dc.date.accessioned2020-03-11T08:41:22Z
dc.date.available2020-03-11T08:41:22Z
dc.date.issued2020
dc.identifier.citationDong, Y., Huang, Z., Zhang, Y., Wang, X. Y., & La, Y. (2020). Comparing the Climatic and Landscape Risk Factors for Lyme Disease Cases in the Upper Midwest and Northeast United States. <i>International Journal of Environmental Research and Public Health</i>, <i>17</i>(5), Article 1548. <a href="https://doi.org/10.3390/ijerph17051548" target="_blank">https://doi.org/10.3390/ijerph17051548</a>
dc.identifier.otherCONVID_34941982
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/68132
dc.description.abstractLyme disease, recognized as one of the most important vector-borne diseases worldwide, has been increasing in incidence and spatial extend in United States. In the Northeast and Upper Midwest, Lyme disease is transmitted by Ixodes scapularis. Currently, many studies have been conducted to identify factors influencing Lyme disease risk in the Northeast, however, relatively few studies focused on the Upper Midwest. In this study, we explored and compared the climatic and landscape factors that shape the spatial patterns of human Lyme cases in these two regions, using the generalized linear mixed models. Our results showed that climatic variables generally had opposite correlations with Lyme disease risk, while landscape factors usually had similar effects in these two regions. High precipitation and low temperature were correlated with high Lyme disease risk in the Upper Midwest, while with low Lyme disease risk in the Northeast. In both regions, size and fragmentation related factors of residential area showed positive correlations with Lyme disease risk. Deciduous forests and evergreen forests had opposite effects on Lyme disease risk, but the effects were consistent between two regions. In general, this study provides new insight into understanding the differences of risk factors of human Lyme disease risk in these two regions.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofseriesInternational Journal of Environmental Research and Public Health
dc.rightsCC BY 4.0
dc.subject.otherBorrelia burgdorferi
dc.subject.otherclimate
dc.subject.otherforest fragmentation
dc.subject.otherLyme disease
dc.titleComparing the Climatic and Landscape Risk Factors for Lyme Disease Cases in the Upper Midwest and Northeast United States
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202003112368
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1661-7827
dc.relation.numberinseries5
dc.relation.volume17
dc.type.versionpublishedVersion
dc.rights.copyright© 2020 the Authors
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.subject.ysoympäristötekijät
dc.subject.ysoborrelioosi
dc.subject.ysoborrelioosi
dc.subject.ysopaikallisilmasto
dc.subject.ysoesiintyvyys
dc.subject.ysomaisema
dc.subject.ysoBorrelia-bakteerit
dc.subject.ysometsätyypit
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p6194
jyx.subject.urihttp://www.yso.fi/onto/yso/p13976
jyx.subject.urihttp://www.yso.fi/onto/yso/p13975
jyx.subject.urihttp://www.yso.fi/onto/yso/p13421
jyx.subject.urihttp://www.yso.fi/onto/yso/p21428
jyx.subject.urihttp://www.yso.fi/onto/yso/p1716
jyx.subject.urihttp://www.yso.fi/onto/yso/p23656
jyx.subject.urihttp://www.yso.fi/onto/yso/p9954
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.3390/ijerph17051548
jyx.fundinginformationThis research was funded by National Natural Science Foundation of China, grant number 31870400; and the Cultivation project of Tibet University.
dc.type.okmA1


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