Show simple item record

dc.creatorJia, Peng
dc.creatorYu, Chao
dc.creatorRemais, Justin V.
dc.creatorStein, Alfred
dc.creatorLiu, Yu
dc.creatorBrownson, Ross C.
dc.creatorLakerveld, Jeroen
dc.creatorWu, Tong
dc.creatorYang, Lijian
dc.creatorSmith, Melody
dc.creatorAmer, Sherif
dc.creatorPearce, Jamie
dc.creatorKestens, Yan
dc.creatorKwan, Mei-Po
dc.creatorLai, Shengjie
dc.creatorXu, Fei
dc.creatorChen, Xi
dc.creatorRundle, Andrew
dc.creatorXiao, Qian
dc.creatorXue, Hong
dc.creatorLuo, Miyang
dc.creatorZhao, Li
dc.creatorCheng, Guo
dc.creatorYang, Shujuan
dc.creatorZhou, Xiaolu
dc.creatorLi, Yan
dc.creatorPanter, Jenna
dc.creatorKingham, Simon
dc.creatorJones, Andy
dc.creatorJohnson, Blair T.
dc.creatorShi, Xun
dc.creatorZhang, Lin
dc.creatorWang, Limin
dc.creatorWu, Jianguo
dc.creatorMavoa, Suzanne
dc.creatorToivonen, Tuuli
dc.creatorMwenda, Kevin M.
dc.creatorWang, Youfa
dc.creatorVerschuren, W.M. Monique
dc.creatorVermeulen, Roel
dc.creatorJames, Peter
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.sourceHealth & Place
dc.subjectSpatial lifecourse epidemiology
dc.subjectSpatial epidemiology
dc.subjectLifecourse epidemiology
dc.subjectReporting standard
dc.subjectReporting guideline
dc.subjectBig data
dc.subjectArtificial intelligence
dc.titleSpatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement
dc.rights.holder2019 Jia et al
dc.rights.licenseNot blank
local.collegeAddRan College of Liberal Arts
local.personsZhou (GEOG)

Files in this item

This item appears in the following Collection(s)

Show simple item record
Except where otherwise noted, this item's license is described as