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PMC:7062829 / 32180-33887 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
362 1293-1297 Disease denotes MERS MESH:D018352
363 1298-1307 Disease denotes infection MESH:D007239
367 1127-1138 Species denotes common; Fig Tax:3494
368 41-50 Chemical denotes bipartite
369 1184-1188 Disease denotes MERS MESH:D018352

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T106 588-598 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T107 1298-1307 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T172 229-230 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T173 610-619 http://purl.obolibrary.org/obo/CLO_0053001 denotes 1 and #14
T174 987-995 http://purl.obolibrary.org/obo/CLO_0053001 denotes 1 to #14
T175 1172-1173 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T52 453-456 Chemical denotes PGH http://purl.obolibrary.org/obo/CHEBI_26344

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T246 0-248 Sentence denotes Looking at the individual hosts from the bipartite method, host #173, who had the highest score compared with that of other hosts, visited five healthcare facilities, four of which were low-centrality hospitals and one (SKH) was a central hospital.
T247 249-557 Sentence denotes It was not as influential as individual hosts such as host #1, who visited two low-centrality hospitals and two central hospitals (SSC, PMH); host #14, who visited just three central hospitals (SSC, PMH, PGH); and host #76, who visited one low-centrality hospital and three central hospitals (SSC, SKH, SKC).
T248 558-837 Sentence denotes In this case, we might expect infectious hub hosts #1 and #14 (along with #76) to have higher centrality scores (i.e., betweenness and closeness) than those of other hosts because they made contact with hosts in the majority of both high-and low-centrality healthcare facilities.
T249 838-1143 Sentence denotes We can see the network as comprising four clusters, and these relations were connected by having healthcare facilities in common (for instance, the #1 to #14 relation had the healthcare facility PMH in common; the #14 to #76 relation had SSC in common; the #76 to #173 relation had SKH in common; Fig. 3).
T250 1144-1264 Sentence denotes This implies that there was a patterned MERS risk for the individual hosts affiliating with these healthcare facilities.
T251 1265-1342 Sentence denotes Figure 3 Bipartite graph of MERS infection transmission (hosts-by-hospitals).
T252 1343-1672 Sentence denotes Structural layout of the network clustered together by different co-occurrence frequency levels of individual hosts and healthcare facilities (small clusters are merged into larger clusters based on modularity function), where red, green and blue nodes denote core nosocomial linkages, and yellow nodes denote periphery linkages.
T253 1673-1707 Sentence denotes Image was created using VOSviewer.