Syndromic surveillance climate and health guidance document: how jurisdictions can use surveillance to quantify and track climate-related health impacts.
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2017/09/01
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File Language:
English
Details
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Personal Author:Barrett EC ; Berisha V ; Borjan M ; Heitzinger K ; Jagger MA ; Kumar R ; Lane K ; Lumia, Margaret ; Menager H ; Morano LH ; Thie L
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Description:A broad range of adverse health outcomes are associated with the changing climate [Moulton 2017; Luber 2014]. Examples include but are not limited to: exacerbations of chronic conditions such as cardiovascular or respiratory diseases, diseases and injuries associated with natural disasters, increased presentation and differing distribution of vector-borne and zoonotic diseases, heat- or cold-related illness, and mental health outcomes associated with displacement and interruption of care [Hess 2009, Schulte 2009; Crimmins 2016]. Adverse outcomes may also arise from climate change adaptation and mitigation efforts, such as increased injuries to pedestrians and cyclists if non-motorized transport is promoted without concurrent increases in infrastructure (e.g., bike lanes or sidewalks) [Pucher 2003; Pucher 2010; Zegeer 2012]. Researchers and applied public health practitioners from many disciplines are working to minimize the changing climate's impact on population health and well-being. This includes but is not limited to: identifying the current risks and vulnerabilities [Manangan 2014], modeling the future risks and vulnerabilities [Kintziger 2017], and creating and implementing adaption and mitigation strategies [Anderson 2017]. For public health practitioners, surveillance is a key activity used to protect and improve the health of the populations they serve. Surveillance can be defined as "the continuous and systematic collection, analysis, interpretation, and dissemination of data to be used for public health action (e.g., policy, planning evaluation)" [Pascal 2012; Porta 2008]. In general, data from public health surveillance can be used for short- and long-term planning and response through retrospective data analysis of trends over time or specific events [Hall 2012]. Combining health outcome data (e.g., hospitalizations or deaths) with environmental and socio-demographic information also provides a more complete picture of most vulnerable populations. However, a recent article noted that climate and health surveillance in the United States (U.S.) was still in the embryonic phase [Moulton 2017]. Therefore, the goal of this document is to encourage surveillance improvements by providing a general instruction on how a jurisdiction may use their syndromic surveillance systems for climate and health surveillance. [Description provided by NIOSH]
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Place as Subject:Arizona ; Kansas ; Kentucky ; New Jersey ; New York ; North Carolina ; Oregon ; OSHA Region 10 ; OSHA Region 2 ; OSHA Region 4 ; OSHA Region 7 ; OSHA Region 9
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Pages in Document:1-44
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NIOSHTIC Number:nn:20065879
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Citation:Atlanta, GA: Council of State and Territorial Epidemiologists (CSTE), Climate Change Subcommittee, 2017 Sep; :1-44
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CAS Registry Number:
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Federal Fiscal Year:2017
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Performing Organization:New Jersey Department of Health and Senior Services
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Peer Reviewed:False
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Start Date:20050701
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Source Full Name:Syndromic surveillance climate and health guidance document: how jurisdictions can use surveillance to quantify and track climate-related health impacts
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End Date:20260630
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Main Document Checksum:urn:sha-512:bf966664eb8f8dcb65316e4666e6189410b49f0f0fdbc914a2175aeb8bd77a7e9bbe5299a040ed557eaa197cea3b45a6feb5b97bd451984d794a5743d98753e2
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File Type:
File Language:
English
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