Availability, access, analysis and dissemination of small-area data

被引:6
作者
Hodgson, Susan [1 ]
Fecht, Daniela [1 ,2 ]
Gulliver, John [1 ]
Daby, Hima Iyathooray [1 ,2 ]
Piel, Frederic B. [1 ,2 ]
Yip, Fuyuen [3 ]
Strosnider, Heather [3 ]
Hansell, Anna [1 ,2 ]
Elliott, Paul [1 ,2 ]
机构
[1] Imperial Coll London, Sch Publ Hlth, MRC PHE Ctr Environm & Hlth, London, England
[2] Imperial Coll London, UK Small Area Hlth Stat Unit, MRC PHE Ctr Environm & Hlth, London, England
[3] Ctr Dis Control & Prevent, Environm Hlth Tracking Sect, Natl Ctr Environm Hlth, Atlanta, GA USA
基金
英国医学研究理事会;
关键词
Small-area studies; open data; remote sensing; environment and health; LAND-USE REGRESSION; ROAD TRAFFIC NOISE; AIR-POLLUTION EXPOSURE; SPATIAL-ANALYSIS; RISK-FACTORS; HEALTH; DISEASE; MODEL; INFORMATION; ENVIRONMENT;
D O I
10.1093/ije/dyz051
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
In this era of 'big data', there is growing recognition of the value of environmental, health, social and demographic data for research. Open government data initiatives are growing in number and in terms of content. Remote sensing data are finding widespread use in environmental research, including in low- and middle-income settings. While our ability to study environment and health associations across countries and continents grows, data protection rules and greater patient control over the use of their data present new challenges to using health data in research. Innovative tools that circumvent the need for the physical sharing of data by supporting non-disclosive sharing of information, or that permit spatial analysis without researchers needing access to underlying patient data can be used to support analyses while protecting data confidentiality. User-friendly visualizations, allowing small-area data to be seen and understood by non-expert audiences, are revolutionizing public and researcher interactions with data. The UK Small Area Health Statistics Unit's Environment and Health Atlas for England and Wales, and the US National Environmental Public Health Tracking Network offer good examples. Open data facilitates user-generated outputs, and 'mash-ups', and user-generated inputs from social media, mobile devices and wearable tech are new data streams that will find utility in future studies, and bring novel dimensions with respect to ethical use of small-area data.
引用
收藏
页码:I4 / I14
页数:11
相关论文
共 72 条
[1]  
[Anonymous], CANC STAT AV LOC
[2]  
[Anonymous], INT J EPIDEMIOL S1
[3]  
[Anonymous], 2014, ENV HLTH ATLAS ENGLA
[4]  
[Anonymous], ONS STAT B DEATHS RE
[5]  
[Anonymous], PROV MONTHL HOSP EP
[6]  
[Anonymous], WORKSH WEB DAT WEBDB
[7]  
[Anonymous], DAT INS STAT
[8]  
[Anonymous], ONS STAT B BIRTHS EN
[9]  
[Anonymous], INT J EPIDEMIOL S1
[10]  
[Anonymous], ARXIV171011048