PMC:7060038 / 24790-25467
Annnotations
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
190 | 271-279 | Disease | denotes | infected | MESH:D007239 |
191 | 472-482 | Disease | denotes | infections | MESH:D007239 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T28 | 472-482 | Disease | denotes | infections | http://purl.obolibrary.org/obo/MONDO_0005550 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T85 | 186-191 | http://purl.obolibrary.org/obo/NCBITaxon_10239 | denotes | virus |
T86 | 307-308 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T149 | 0-192 | Sentence | denotes | Next we estimated the overall effectiveness of different screening programs, as well as the uncertainties arising from the current partial state of knowledge about this recently-emerged virus. |
T150 | 193-384 | Sentence | denotes | We modeled plausible population-level outcomes by tracking the fraction of 30 infected travellers detained, given a growing or stable epidemic and current uncertainty around parameter values. |
T151 | 385-677 | Sentence | denotes | We separately consider the best, middle and worst-case scenarios for the proportion of infections that are subclinical, and for each scenario we compare the impact of departure screening only (or equivalently, any on-the-spot screening), arrival screening only, or programs that include both. |