LitCovid-ArguminSci  

PubMed:32171948 JSONTXT 16 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T1 0-144 DRI_Approach denotes The effectiveness of quarantine and isolation determine the trend of the COVID-19 epidemics in the final phase of the current outbreak in China.
T2 145-313 DRI_Background denotes OBJECTIVES: Since January 23rd 2020, stringent measures for controlling the novel coronavirus epidemics have been gradually enforced and strengthened in mainland China.
T3 314-369 DRI_Background denotes The detection and diagnosis have been improved as well.
T4 370-474 DRI_Challenge denotes However, the daily reported cases staying in a high level make the epidemics trend prediction difficult.
T5 475-779 DRI_Background denotes METHODS: Since the traditional SEIR model does not evaluate the effectiveness of control strategies, a novel model in line with the current epidemics process and control measures was proposed, utilizing multisource datasets including cumulative number of reported, death, quarantined and suspected cases.
T6 780-884 DRI_Challenge denotes RESULTS: Results show that the trend of the epidemics mainly depends on quarantined and suspected cases.
T7 885-1074 DRI_Outcome denotes The predicted cumulative numbers of quarantined and suspected cases nearly reached static states and their inflection points have already been achieved, with the epidemics peak coming soon.
T8 1075-1244 DRI_Outcome denotes The estimated effective reproduction numbers using model-free and model-based methods are decreasing, as well as new infections, while new reported cases are increasing.
T9 1245-1356 DRI_Background denotes Most infected cases have been quarantined or put in suspected class, which has been ignored in existing models.
T10 1357-1571 DRI_Challenge denotes CONCLUSIONS: The uncertainty analyses reveal that the epidemics is still uncertain and it is important to continue enhancing the quarantine and isolation strategy and improving the detection rate in mainland China.