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dc.contributor.authorLu, H
dc.contributor.authorZhao, G
dc.contributor.authorLiu, Shaofeng
dc.date.accessioned2022-04-06T14:16:52Z
dc.date.issued2022-05-31
dc.identifier.issn0953-7287
dc.identifier.issn1366-5871
dc.identifier.urihttp://hdl.handle.net/10026.1/19001
dc.description.abstract

Air pollution may be involved in spreading dengue fever (DF) besides rainfalls and warmer temperatures. While particulate matter (PM), especially those with diameter of 10 μm (PM10) or 2.5 μm or less (PM25), and NO2 increase the risk of coronavirus 2 infection, their roles in triggering DF remain unclear. We explored if air pollution factors predict DF incidence in addition to the classic climate factors. Public databases and DF records of two southern cities in Taiwan were used in regression analyses. Month order, PM10 minimum, PM2.5 minimum, and precipitation days were retained in the enter mode model, and SO2 minimum, O3 maximum, and CO minimum were retained in the stepwise forward mode model in addition to month order, PM10 minimum, PM2.5 minimum, and precipitation days. While PM2.5 minimum showed a negative contribution to the monthly DF incidence, other variables showed the opposite effects. The sustain of month order, PM10 minimum, PM2.5 minimum, and precipitation days in both regression models confirms the role of classic climate factors and illustrates a potential biological role of the air pollutants in the life cycle of mosquito vectors and dengue virus and possibly human immune status. Future DF prevention should concern the contribution of air pollution besides the classic climate factors.

dc.format.extent1-17
dc.format.mediumPrint-Electronic
dc.languageen
dc.language.isoen
dc.publisherTaylor and Francis
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSustainable supply chain management
dc.subjectIndustry 4
dc.subject0
dc.subjectcircular economy
dc.subjectdynamic capabilities
dc.titleIntegrating circular economy and industry 4.0 into sustainable supply chain management: a dynamic capability view
dc.typejournal-article
dc.typeJournal Article
dc.typeResearch Support, Non-U.S. Gov't
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000804057600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue6
plymouth.volume117
plymouth.publication-statusPublished online
plymouth.journalProduction Planning and Control
dc.identifier.doi10.1080/09537287.2022.2063198
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business/Plymouth Business School
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA17 Business and Management Studies
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeEngland
dcterms.dateAccepted2022-03-25
dc.rights.embargodate2022-6-9
dc.identifier.eissn1366-5871
dc.rights.embargoperiodNot known
rioxxterms.funderEuropean Commission
rioxxterms.identifier.projectEnhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems
rioxxterms.versionofrecord10.1080/09537287.2022.2063198
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
rioxxterms.typeJournal Article/Review
plymouth.funderEnhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems::European Commission


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