CORD-19:06559dd625491d6474ee88f08c12fc17c1830995 / 13552-13868 JSONTXT

Annnotations TAB JSON ListView MergeView

{"target":"http://pubannotation.org/docs/sourcedb/CORD-19/sourceid/06559dd625491d6474ee88f08c12fc17c1830995","sourcedb":"CORD-19","sourceid":"06559dd625491d6474ee88f08c12fc17c1830995","text":"By combining health datasets with other sources, such as census data for small areas, GIS can be used to investigate spatial patterns in health outcomes in relation to socioeconomic characteristics of areas, in identifying gaps in healthcare provision, as well as in monitoring the impacts of changes in policy [3] .","tracks":[{"project":"CORD-19_Custom_license_subset","denotations":[{"id":"T69","span":{"begin":0,"end":316},"obj":"Sentence"}],"attributes":[{"subj":"T69","pred":"source","obj":"CORD-19_Custom_license_subset"}]},{"project":"CORD-19-Sentences","denotations":[{"id":"TextSentencer_T69","span":{"begin":0,"end":316},"obj":"Sentence"},{"id":"T66668","span":{"begin":0,"end":316},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"attributes":[{"subj":"TextSentencer_T69","pred":"source","obj":"CORD-19-Sentences"},{"subj":"T66668","pred":"source","obj":"CORD-19-Sentences"}]},{"project":"Epistemic_Statements","denotations":[{"id":"T27","span":{"begin":0,"end":316},"obj":"Epistemic_statement"}],"attributes":[{"subj":"T27","pred":"source","obj":"Epistemic_Statements"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"CORD-19_Custom_license_subset","color":"#93afec","default":true},{"id":"CORD-19-Sentences","color":"#c9ec93"},{"id":"Epistemic_Statements","color":"#ec93e3"}]}]}}