LitCovid-sentences  

PMC:7102659 / 15240-17652 JSONTXT 9 Projects

Annnotations TAB TSV DIC JSON TextAE Lectin_function

Id Subject Object Predicate Lexical cue
T125 0-26 Sentence denotes Discussion and conclusions
T126 27-83 Sentence denotes We used some parameter estimates from (He et al., 2013).
T127 84-257 Sentence denotes The estimates were obtained via fitting a mechanistic model to the observed weekly influenza and pneumonia mortality in England and Wales during the 1918 influenza pandemic.
T128 258-314 Sentence denotes Recent studies showed that COVID-19 transmitted rapidly.
T129 315-371 Sentence denotes In this regard, it resembles influenza rather than SARS.
T130 372-563 Sentence denotes In our 1918 influenza work (He et al., 2013), we built a similar model as we introduced here, and we fitted that model to weekly influenza and pneumonia mortality in 334 administrative units.
T131 564-709 Sentence denotes Note that 1918 influenza had an infection-fatality-rate of 2%, which was at the same level of the case-fatality-rate of COVID-19 in Wuhan, China.
T132 710-945 Sentence denotes The merit of our model is that we considered some essential elements, including individual behavioural response, governmental actions, zoonotic transmission and emigration of a large proportion of the population in a short time period.
T133 946-1062 Sentence denotes Meanwhile, our model is relatively simple and our estimates are in line with previous studies (Imai et al., 2020, P.
T134 1063-1080 Sentence denotes Wu et al., 2020).
T135 1081-1162 Sentence denotes Thus, our model should be considered as a baseline model for further improvement.
T136 1163-1213 Sentence denotes We avoid to fit model to data in conventional way.
T137 1214-1296 Sentence denotes Instead, we use a simple model framework to discuss what elements might be needed.
T138 1297-1571 Sentence denotes For instance, in order to achieve a good fitting performance, one obviously needs to include a time-varying report rate (as we reconstructed in Figure 4b), which was caused by the availability of medical supplies, hospital capacities and changing testing/reporting policies.
T139 1572-1692 Sentence denotes Thus it would be challenging given a relatively short time series, and several other unknown parameters to be estimated.
T140 1693-1880 Sentence denotes We employ some parameter estimates from the 1918 influenza pandemic, given the similar characteristics of COVID-19 and influenza (most cases are mild) and the similar level of mitigation.
T141 1881-2076 Sentence denotes Transmission from asymptotically infected cases is reported but the contribution of asymptomatic transmission is unclear (presumably small), which shall be further investigated in future studies.
T142 2077-2150 Sentence denotes In this work, we focused on the transmission of COVID-19 in Wuhan, China.
T143 2151-2308 Sentence denotes Our conceptual framework can be applied to other cities/countries, or be built into one multiple-patch model for modelling multiple cities/countries context.
T144 2309-2412 Sentence denotes Our model can be fitted to daily data when more information (e.g., daily number of tests) is available.