PMC:7796058 / 2276-3258 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"27","span":{"begin":709,"end":715},"obj":"Species"},{"id":"28","span":{"begin":99,"end":107},"obj":"Disease"},{"id":"29","span":{"begin":242,"end":250},"obj":"Disease"},{"id":"30","span":{"begin":266,"end":274},"obj":"Disease"},{"id":"31","span":{"begin":594,"end":602},"obj":"Disease"},{"id":"32","span":{"begin":666,"end":674},"obj":"Disease"},{"id":"33","span":{"begin":699,"end":707},"obj":"Disease"}],"attributes":[{"id":"A27","pred":"tao:has_database_id","subj":"27","obj":"Tax:9606"},{"id":"A28","pred":"tao:has_database_id","subj":"28","obj":"MESH:C000657245"},{"id":"A29","pred":"tao:has_database_id","subj":"29","obj":"MESH:D007239"},{"id":"A30","pred":"tao:has_database_id","subj":"30","obj":"MESH:D007239"},{"id":"A31","pred":"tao:has_database_id","subj":"31","obj":"MESH:C000657245"},{"id":"A32","pred":"tao:has_database_id","subj":"32","obj":"MESH:C000657245"},{"id":"A33","pred":"tao:has_database_id","subj":"33","obj":"MESH:D007239"}],"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_"}],"text":"Monitoring both “person-to-person” and “person-to-place” interactions is a critical issue for post COVID-19 reopenings [1,2]. Although person-to-person contact is a major factor of virus spread, recent studies have shown that a person can be infected even after the infected person has left the room [2,3]. When sharing the same indoor space, close contact can cause viruses to spread via air, objects, or floor, even after two to three days if the recommended protective equipment is not used, or disinfection is not carried out [4]. Geospatial information integrated into unified Internet of COVID-19 solutions plays an important role in monitoring the pattern of COVID-19 spread considering both infected “people” and “places”, and duration of contact. Such unified geospatial-enabled IoT solutions can be leveraged to understand the impact of virus spread for handling outbreaks, as well as, timely resource planning and allocation [5] on a cross-organizational scale [6,7,8,9]."}

{"project":"LitCovid-sentences","denotations":[{"id":"T16","span":{"begin":0,"end":125},"obj":"Sentence"},{"id":"T17","span":{"begin":126,"end":306},"obj":"Sentence"},{"id":"T18","span":{"begin":307,"end":534},"obj":"Sentence"},{"id":"T19","span":{"begin":535,"end":755},"obj":"Sentence"},{"id":"T20","span":{"begin":756,"end":982},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Monitoring both “person-to-person” and “person-to-place” interactions is a critical issue for post COVID-19 reopenings [1,2]. Although person-to-person contact is a major factor of virus spread, recent studies have shown that a person can be infected even after the infected person has left the room [2,3]. When sharing the same indoor space, close contact can cause viruses to spread via air, objects, or floor, even after two to three days if the recommended protective equipment is not used, or disinfection is not carried out [4]. Geospatial information integrated into unified Internet of COVID-19 solutions plays an important role in monitoring the pattern of COVID-19 spread considering both infected “people” and “places”, and duration of contact. Such unified geospatial-enabled IoT solutions can be leveraged to understand the impact of virus spread for handling outbreaks, as well as, timely resource planning and allocation [5] on a cross-organizational scale [6,7,8,9]."}