PMC:7047374 / 26784-28210 JSONTXT 7 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T181 0-90 Sentence denotes Since there are too many parameters in our model, several limitations exist in this study.
T182 91-224 Sentence denotes Firstly, we did not use the detailed data of the SARS-CoV-2 to perform the estimation instead of using the data from literatures [3].
T183 225-471 Sentence denotes We simulated the natural history of the infection that the proportion of asymptomatic infection was 50%, and the transmissibility of asymptomatic infection was half of that of symptomatic infection, which were different to those of MERS and SARS.
T184 472-566 Sentence denotes It is known that the proportion of asymptomatic infection of MERS and SARS was lower than 10%.
T185 567-649 Sentence denotes Secondly, the parameters of population mobility were not from an accurate dataset.
T186 650-787 Sentence denotes Thirdly, since there was no data of the initial prevalence of the virus in the seafood market, we assumed the initial value of 1/100 000.
T187 788-863 Sentence denotes This assumption might lead to the simulation been under- or over-estimated.
T188 864-1100 Sentence denotes In addition, since we did not consider the changing rate of the individual’s activity (such as wearing masks, increasing social distance, and not to travel to Wuhan City), the estimation of importation of the virus might not be correct.
T189 1101-1167 Sentence denotes All these limitations will lead to the uncertainty of our results.
T190 1168-1426 Sentence denotes Therefore, the accuracy and the validity of the estimation would be better if the models fit the first-hand data on the population mobility and the data on the natural history, the epidemiological characteristics, and the transmission mechanism of the virus.