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PMC:7796058 / 11796-13031 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
125 36-50 Species denotes COVID-19 virus Tax:2697049
126 1032-1038 Species denotes people Tax:9606
127 123-131 Disease denotes COVID-19 MESH:C000657245
128 159-167 Disease denotes COVID-19 MESH:C000657245
129 739-748 Disease denotes infection MESH:D007239
130 950-958 Disease denotes COVID-19 MESH:C000657245
131 1206-1214 Disease denotes COVID-19 MESH:C000657245

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T68 0-139 Sentence denotes The primary step when assessing the COVID-19 virus transmission scenarios is determining the factors affecting the risk of COVID-19 spread.
T69 140-222 Sentence denotes According to [26], COVID-19 risk prevention and control depend on population flow.
T70 223-484 Sentence denotes For this research, the epidemic risk status is assessed based on three levels of personnel flow strategies: (1) Staying at home, temperature monitoring, and traffic control; (2) Wearing a mask and restricting gatherings; and (3) Strengthening health management.
T71 485-749 Sentence denotes Additionally, based on existing studies from both the World Health Organization (WHO) [27] and the Government of Canada website [28], the number of active virus particles in a place is considered to be the most critical factor in determining the risk of infection.
T72 750-907 Sentence denotes Virus particles live for different lengths of time which vary depending on several factors, especially with regards to the composition of different surfaces.
T73 908-1097 Sentence denotes To identify and limit the risk pattern of COVID-19, a range of use cases can be considered that utilize the interactions of people, places, and available sensor information for a workplace.
T74 1098-1235 Sentence denotes The following table (Table 1) sums up the office cleaning use case using person-to-place scenarios for post COVID-19 workplace reopening.