Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement

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Jia , P , Yu , C , Remais , J , Stein , A , Liu , Y , Brownson , R C , Lakerveld , J , Wu , T , Yang , L , Smith , M , Amer , S , Pearce , J , Kestens , Y , Kwan , M-P , Lai , S , Xu , F , Chen , X , Rundle , A , Xiao , Q , Xue , H , Luo , M , Zhao , L , Cheng , G , Yang , S , Zhou , X , Li , Y , Panter , J , Kingham , S , Jones , A , Johnson , B T , Shi , X , Zhang , L , Wang , L , Wu , J , Mavoa , S , Toivonen , T , Mwenda , K M , Wang , Y , Verschuren , W M M , Vermeulen , R & James , P 2020 , ' Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement ' , Health & Place , vol. 61 , 102243 . https://doi.org/10.1016/j.healthplace.2019.102243

Title: Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement
Author: Jia, Peng; Yu, Chao; Remais, Justin; Stein, Alfred; Liu, Yu; Brownson, Ross C.; Lakerveld, Jeroen; Wu, Tong; Yang, Lijian; Smith, Melody; Amer, Sherif; Pearce, Jamie; Kestens, Yan; Kwan, Mei-Po; Lai, Shengjie; Xu, Fei; Chen, Xi; Rundle, Andrew; Xiao, Qian; Xue, Hong; Luo, Miyang; Zhao, Li; Cheng, Guo; Yang, Shujuan; Zhou, Xiaolu; Li, Yan; Panter, Jenna; Kingham, Simon; Jones, Andy; Johnson, Blair T.; Shi, Xun; Zhang, Lin; Wang, Limin; Wu, Jianguo; Mavoa, Suzanne; Toivonen, Tuuli; Mwenda, Kevin M.; Wang, Youfa; Verschuren, W. M. Monique; Vermeulen, Roel; James, Peter
Contributor: University of Helsinki, Digital Geography Lab
Date: 2020-01
Language: eng
Number of pages: 5
Belongs to series: Health & Place
ISSN: 1353-8292
URI: http://hdl.handle.net/10138/324677
Abstract: Spatial 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, psycho-social, 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 appro-priate 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 con-tributors 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.
Subject: 1171 Geosciences
113 Computer and information sciences
Spatial lifecourse epidemiology
Spatial epidemiology
Lifecourse epidemiology
Reporting standard
Reporting guideline
Big data
Location-based
Artificial intelligence
Exposome
Exposomics
ISLE
HEALTH
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