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PMC:7175914 / 26477-27601 JSONTXT

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LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T115 574-585 NCBITaxon:1 denotes individuals
T116 843-854 NCBITaxon:1 denotes individuals
T117 936-947 NCBITaxon:1 denotes individuals

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T56 563-573 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T141 139-140 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T142 335-336 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T177 0-188 Sentence denotes For the population flow, recent study ([Tang et al., 2020a], [Tang et al., 2020b]) considered the data from the Baidu migration website in a stochastic discrete transmission dynamic model.
T178 189-367 Sentence denotes Both our study and [Tang et al., 2020a], [Tang et al., 2020b] obtained the risk of the secondary outbreak when the population flow are changed at a serious input population flow.
T179 368-639 Sentence denotes In [Tang et al., 2020a], [Tang et al., 2020b], with more data from the Health Commission of Shananxi Province, they estimated the daily new increased confirmed cases, and the daily new increased infectious individuals from the population flow by the Poisson distribution.
T180 640-807 Sentence denotes In our study, constrained by the data policy of the Health Commission of Guangdong Province, the input population is defined as the deterministic and continuous input.
T181 808-1124 Sentence denotes Moreover, the ratio of the exposed individuals accounting for the input population is defined as the percentages of the exposed individuals in the total population of China excluding Guangdong and Hubei provinces which is derived from the daily new increased confirmed cases according to the 3–7 days latent periods.