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dc.contributor.authorJia, Pengen
dc.contributor.authorYu, Chaoen
dc.contributor.authorRemais, Justin Ven
dc.contributor.authorStein, Alfreden
dc.contributor.authorLiu, Yuen
dc.contributor.authorBrownson, Ross Cen
dc.contributor.authorLakerveld, Jeroenen
dc.contributor.authorWu, Tongen
dc.contributor.authorYang, Lijianen
dc.contributor.authorSmith, Melodyen
dc.contributor.authorAmer, Sherifen
dc.contributor.authorPearce, Jamieen
dc.contributor.authorKestens, Yanen
dc.contributor.authorKwan, Mei-Poen
dc.contributor.authorLai, Shengjieen
dc.contributor.authorXu, Feien
dc.contributor.authorChen, Xien
dc.contributor.authorRundle, Andrewen
dc.contributor.authorXiao, Qianen
dc.contributor.authorXue, Hongen
dc.contributor.authorLuo, Miyangen
dc.contributor.authorZhao, Lien
dc.contributor.authorCheng, Guoen
dc.contributor.authorYang, Shujuanen
dc.contributor.authorZhou, Xiaoluen
dc.contributor.authorLi, Yanen
dc.contributor.authorPanter, Jennaen
dc.contributor.authorKingham, Simonen
dc.contributor.authorJones, Andyen
dc.contributor.authorJohnson, Blair Ten
dc.contributor.authorShi, Xunen
dc.contributor.authorZhang, Linen
dc.contributor.authorWang, Liminen
dc.contributor.authorWu, Jianguoen
dc.contributor.authorMavoa, Suzanneen
dc.contributor.authorToivonen, Tuulien
dc.contributor.authorMwenda, Kevin Men
dc.contributor.authorWang, Youfaen
dc.contributor.authorVerschuren, WM Moniqueen
dc.contributor.authorVermeulen, Roelen
dc.contributor.authorJames, Peteren
dc.date.accessioned2019-11-22T00:31:14Z
dc.date.available2019-11-22T00:31:14Z
dc.date.issued2020-01en
dc.identifier.issn1353-8292
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/299151
dc.description.abstractSpatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the long-term effects of environmental, behavioural, psychosocial, and biological factors on health-related states and events and the underlying mechanisms. With the growing number of studies reporting findings from this field and the critical need for public health and policy decisions to be based on the strongest science possible, transparency and clarity in reporting in spatial lifecourse epidemiologic studies is essential. A task force supported by the International Initiative on Spatial Lifecourse Epidemiology (ISLE) identified a need for guidance in this area and developed a Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) Statement. The aim is to provide a checklist of recommendations to improve and make more consistent reporting of spatial lifecourse epidemiologic studies. The STrengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement for cohort studies was identified as an appropriate starting point to provide initial items to consider for inclusion. Reporting standards for spatial data and methods were then integrated to form a single comprehensive checklist of reporting recommendations. The strength of our approach has been our international and multidisciplinary team of content experts and contributors who represent a wide range of relevant scientific conventions, and our adherence to international norms for the development of reporting guidelines. As spatial, location-based, and artificial intelligence technologies used in spatial lifecourse epidemiology continue to evolve at a rapid pace, it will be necessary to revisit and adapt the ISLE-ReSt at least every 2-3 years from its release.
dc.format.mediumPrint-Electronicen
dc.languageengen
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectHumansen
dc.subjectEpidemiologic Studiesen
dc.subjectCohort Studiesen
dc.subjectPublic Healthen
dc.subjectHealth Statusen
dc.subjectResearch Designen
dc.subjectInternationalityen
dc.subjectArtificial Intelligenceen
dc.subjectAdvisory Committeesen
dc.subjectChecklisten
dc.subjectSpatial Analysisen
dc.titleSpatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement.en
dc.typeArticle
prism.publicationDate2020en
prism.publicationNameHealth & placeen
prism.startingPage102243
prism.volume61en
dc.identifier.doi10.17863/CAM.46215
dcterms.dateAccepted2019-11-08en
rioxxterms.versionofrecord10.1016/j.healthplace.2019.102243en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2020-01en
dc.contributor.orcidJia, Peng [0000-0003-0110-3637]
dc.contributor.orcidRemais, Justin V [0000-0002-0223-4615]
dc.contributor.orcidLakerveld, Jeroen [0000-0002-8551-6748]
dc.contributor.orcidKwan, Mei-Po [0000-0001-8602-9258]
dc.contributor.orcidLai, Shengjie [0000-0001-9781-8148]
dc.contributor.orcidLi, Yan [0000-0001-6155-0389]
dc.contributor.orcidPanter, Jenna [0000-0001-8870-718X]
dc.contributor.orcidZhang, Lin [0000-0002-2064-8440]
dc.identifier.eissn1873-2054
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idMRC (MR/K023187/1)
pubs.funder-project-idMRC (MC_UU_12015/6)
pubs.funder-project-idTCC (PDF-2012-05-157)
cam.orpheus.successThu Jan 30 10:35:31 GMT 2020 - Embargo updated*
rioxxterms.freetoread.startdate2020-07-01


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial-NoDerivatives 4.0 International