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{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7796058","sourcedb":"PMC","sourceid":"7796058","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7796058","text":"gy space. Our paper also argues that the integration of the IndoorGML and SensorThings API is critical for effective COVID-19 risk analysis and visualization. To the best of our knowledge, this paper is the first real-world implement","tracks":[{"project":"LitCovid-PubTator","denotations":[{"id":"61","span":{"begin":117,"end":125},"obj":"Disease"}],"attributes":[{"id":"A61","pred":"tao:has_database_id","subj":"61","obj":"MESH:C000657245"},{"subj":"61","pred":"source","obj":"LitCovid-PubTator"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}]},{"project":"LitCovid-sentences","denotations":[{"id":"T34","span":{"begin":10,"end":158},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"attributes":[{"subj":"T34","pred":"source","obj":"LitCovid-sentences"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"LitCovid-PubTator","color":"#9395ec","default":true},{"id":"LitCovid-sentences","color":"#afec93"}]}]}}