LitCovid-sentences  

PMC:7047374 / 23870-28210 JSONTXT 11 Projects

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Id Subject Object Predicate Lexical cue
T155 0-10 Sentence denotes Discussion
T156 11-169 Sentence denotes In this study, we developed RP transmission model, which considering the routes from reservoir to person and from person to person of SARS-CoV-2 respectively.
T157 170-265 Sentence denotes We used the models to fit the reported data in Wuhan City, China from published literature [3].
T158 266-353 Sentence denotes The simulation results showed that the R0 of SARS-CoV-2 was 3.58 from person to person.
T159 354-425 Sentence denotes There was a research showed that the R0 of SARS-CoV-2 was 2.68 (95% CI:
T160 426-441 Sentence denotes 2.47–2.86) [8].
T161 442-508 Sentence denotes Another research showed that the R0 of SARS-CoV-2 was 2.2 (95% CI:
T162 509-522 Sentence denotes 1.4–3.9) [3].
T163 523-582 Sentence denotes The different values might be due to the different methods.
T164 583-709 Sentence denotes The methods which Li et al. employed were based on the epidemic growth rate of the epidemic curve and the serial interval [3].
T165 710-938 Sentence denotes Our previous study showed that several methods could be used to calculate the R0 based on the epidemic growth rate of the epidemic curve and the serial interval, and different methods might result in different values of R0 [26].
T166 939-1069 Sentence denotes Our results also showed that the R0 of SARS-CoV-2 was 2.30 from reservoir to person which was lower than that of person to person.
T167 1070-1232 Sentence denotes This means that the transmission route was mainly from person to person rather than from reservoir to person in the early stage of the transmission in Wuhan City.
T168 1233-1393 Sentence denotes However, this result was based on the limited data from a published literature, and it might not show the real situation at the early stage of the transmission.
T169 1394-1522 Sentence denotes Researches showed that the R0 of severe acute respiratory syndrome (SARS) was about 2.7–3.4 or 2–4 in Hong Kong, China [27, 28].
T170 1523-1650 Sentence denotes Another research found that the R0 of SARS was about 2.1 in Hong Kong, China, 2.7 in Singapore, and 3.8 in Beijing, China [29].
T171 1651-1752 Sentence denotes Therefore, we believe that the commonly acceptable average value of the R0 of SARS might be 2.9 [30].
T172 1753-1845 Sentence denotes The transmissibility of the Middle East respiratory syndrome (MERS) is much lower than SARS.
T173 1846-2011 Sentence denotes The reported value of the R0 of MERS was about 0.8–1.3 [31], with the inter-human transmissibility of the disease was about 0.6 or 0.9 in Middle East countries [32].
T174 2012-2127 Sentence denotes However, MERS had a high transmissibility in the outbreak in the Republic of Korea with the R0 of 2.5–7.2 [33, 34].
T175 2128-2304 Sentence denotes Therefore, the transmissibility of SARS-CoV-2 might be higher than MERS in the Middle East countries, similar to SARS, but lower than MERS transmitted in the Republic of Korea.
T176 2305-2378 Sentence denotes To contain the transmission of the virus, it is important to decrease R0.
T177 2379-2482 Sentence denotes According to the equation of R0 deduced from the simplified RP model, R0 is related to many parameters.
T178 2483-2547 Sentence denotes The mainly parameters which could be changed were bP, bW, and γ.
T179 2548-2788 Sentence denotes Interventions such as wearing masks and increasing social distance could decrease the bP, the intervention that close the seafood market could decrease the bW, and shorten the duration form symptoms onset to be diagnosed could decrease 1/γ.
T180 2789-2913 Sentence denotes All these interventions could decrease the effective reproduction number and finally be helpful to control the transmission.
T181 2914-3004 Sentence denotes Since there are too many parameters in our model, several limitations exist in this study.
T182 3005-3138 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 3139-3385 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 3386-3480 Sentence denotes It is known that the proportion of asymptomatic infection of MERS and SARS was lower than 10%.
T185 3481-3563 Sentence denotes Secondly, the parameters of population mobility were not from an accurate dataset.
T186 3564-3701 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 3702-3777 Sentence denotes This assumption might lead to the simulation been under- or over-estimated.
T188 3778-4014 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 4015-4081 Sentence denotes All these limitations will lead to the uncertainty of our results.
T190 4082-4340 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.