Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31259
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematics-
dc.creatorLou, Y-
dc.creatorWu, J-
dc.creatorWu, X-
dc.date.accessioned2015-07-13T10:35:16Z-
dc.date.available2015-07-13T10:35:16Z-
dc.identifier.issn1742-4682-
dc.identifier.urihttp://hdl.handle.net/10397/31259-
dc.language.isoenen_US
dc.publisherBioMed Central Ltd.en_US
dc.rights© 2014 Lou et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproductionin any medium, provided the original work is properly credited. 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.en_US
dc.rightsThe following publication Lou, Y., Wu, J., & Wu, X. (2014). Impact of biodiversity and seasonality on Lyme-pathogen transmission. Theoretical Biology and Medical Modelling, 11, 50, 1-25 is available at https://dx.doi.org/10.1186/1742-4682-11-50en_US
dc.subjectAmplification effecten_US
dc.subjectClimateen_US
dc.subjectDilution effecten_US
dc.subjectHost diversityen_US
dc.subjectLyme diseaseen_US
dc.subjectSeasonal tick populationen_US
dc.subjectThresholden_US
dc.titleImpact of biodiversity and seasonality on Lyme-pathogen transmissionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.epage25-
dc.identifier.volume11-
dc.identifier.doi10.1186/1742-4682-11-50-
dcterms.abstractLyme disease imposes increasing global public health challenges. To better understand the joint effects of seasonal temperature variation and host community composition on the pathogen transmission, a stage-structured periodic model is proposed by integrating seasonal tick development and activity, multiple host species and complex pathogen transmission routes between ticks and reservoirs. Two thresholds, one for tick population dynamics and the other for Lyme-pathogen transmission dynamics, are identified and shown to fully classify the long-term outcomes of the tick invasion and disease persistence. Seeding with the realistic parameters, the tick reproduction threshold and Lyme disease spread threshold are estimated to illustrate the joint effects of the climate change and host community diversity on the pattern of Lyme disease risk. It is shown that climate warming can amplify the disease risk and slightly change the seasonality of disease risk. Both the "dilution effect" and "amplification effect" are observed by feeding the model with different possible alternative hosts. Therefore, the relationship between the host community biodiversity and disease risk varies, calling for more accurate measurements on the local environment, both biotic and abiotic such as the temperature and the host community composition.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTheoretical biology and medical modelling, 2014, v. 11, 50, p. 1-25-
dcterms.isPartOfTheoretical Biology and Medical Modelling-
dcterms.issued2014-
dc.identifier.scopus2-s2.0-84927596848-
dc.identifier.pmid25432469-
dc.identifier.artn50-
dc.identifier.rosgroupid2014000568-
dc.description.ros2014-2015 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Lou_Biodiversity_Seasonality_Lyme-Pathogen.pdf1.39 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

136
Last Week
2
Last month
Citations as of Mar 24, 2024

Downloads

87
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

19
Last Week
0
Last month
0
Citations as of Mar 28, 2024

WEB OF SCIENCETM
Citations

23
Last Week
0
Last month
0
Citations as of Mar 28, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.