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PMC:7175914 / 25263-31918 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
171 122-128 Species denotes people Tax:9606
172 351-357 Species denotes People Tax:9606
173 21-29 Disease denotes COVID-19 MESH:C000657245
175 429-437 Disease denotes COVID-19 MESH:C000657245
178 2972-2986 Species denotes COVID-19 virus Tax:2697049
179 2365-2373 Disease denotes COVID-19 MESH:C000657245
181 3292-3300 Disease denotes COVID-19 MESH:C000657245
183 5252-5260 Disease denotes infected MESH:D007239
186 5751-5757 Species denotes people Tax:9606
187 5702-5710 Disease denotes COVID-19 MESH:C000657245
189 5920-5928 Disease denotes COVID-19 MESH:C000657245
191 6140-6148 Disease denotes COVID-19 MESH:C000657245

LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T110 21-29 SP_7 denotes COVID-19
T111 122-128 NCBITaxon:9606 denotes people
T112 351-357 NCBITaxon:9606 denotes People
T113 429-437 SP_7 denotes COVID-19
T114 547-554 GO:0065007 denotes control
T115 1788-1799 NCBITaxon:1 denotes individuals
T116 2057-2068 NCBITaxon:1 denotes individuals
T117 2150-2161 NCBITaxon:1 denotes individuals
T118 2365-2373 SP_7 denotes COVID-19
T119 2463-2474 NCBITaxon:1 denotes individuals
T120 2504-2515 NCBITaxon:1 denotes individuals
T121 2702-2713 NCBITaxon:1 denotes individuals
T122 2822-2833 NCBITaxon:1 denotes individuals
T123 2865-2876 NCBITaxon:1 denotes individuals
T124 2937-2948 GO:0065007 denotes controlling
T125 2972-2980 SP_7 denotes COVID-19
T126 2981-2986 NCBITaxon:10239 denotes virus
T127 3040-3045 UBERON:0002398 denotes hands
T128 3130-3141 NCBITaxon:1 denotes individuals
T129 3172-3183 NCBITaxon:1 denotes individuals
T130 3292-3300 SP_7 denotes COVID-19
T131 4376-4387 NCBITaxon:1 denotes individuals
T132 4547-4558 NCBITaxon:1 denotes individuals
T133 4725-4736 NCBITaxon:1 denotes individuals
T134 4749-4760 NCBITaxon:1 denotes individuals
T135 5261-5272 NCBITaxon:1 denotes individuals
T136 5702-5710 SP_7 denotes COVID-19
T137 5751-5757 NCBITaxon:9606 denotes people
T138 5920-5928 SP_7 denotes COVID-19
T139 6140-6148 SP_7 denotes COVID-19
T140 6350-6357 GO:0065007 denotes control

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T3 667-671 Body_part denotes back http://purl.org/sig/ont/fma/fma25056
T4 2484-2488 Body_part denotes back http://purl.org/sig/ont/fma/fma25056
T5 3142-3146 Body_part denotes back http://purl.org/sig/ont/fma/fma25056

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T2 3040-3045 Body_part denotes hands http://purl.obolibrary.org/obo/UBERON_0002398

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T54 21-29 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T55 429-437 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T56 1777-1787 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T57 2365-2373 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T58 2972-2980 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T59 3292-3300 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T60 5702-5710 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T61 5920-5928 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T62 6140-6148 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T139 819-820 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T140 914-915 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T141 1353-1354 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T142 1549-1550 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T143 2981-2986 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T144 3509-3511 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T145 3752-3753 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T146 4078-4079 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T147 4097-4098 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T148 4465-4466 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T149 6187-6189 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T150 6502-6503 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T170 0-10 Sentence denotes Discussion
T171 11-193 Sentence denotes Since the COVID-19 disease reported in Wuhan city, Hubei province of China, the Chinese government and all the people have been fighting against the disease for more than two months.
T172 194-403 Sentence denotes Now, the daily new confirmed cases have been continuously decreasing, and the latest value is 427 at Feb 28, 2020 from the National Health Commission of the People's Republic of China (http://www.nhc.gov.cn/).
T173 404-633 Sentence denotes According to the present COVID-19 disease situation, some provinces have been adjusted the emergency response level of epidemic prevention and control from the first level response to the second level, such as Guangdong province.
T174 634-715 Sentence denotes More and more workers are coming back to Guangdong province from other provinces.
T175 716-958 Sentence denotes To address the effects of the input population on the disease variations, taking Guangdong province as a case study, the impacts of the input population and quarantine strategies are explored using a dynamical epidemic model at three aspects.
T176 959-1213 Sentence denotes They include aspect 1: effects of the input population at different scenarios; aspect 2: effects of quarantine rates at different scenarios and the last aspect (i.e. aspect 3): effects of both input population and quarantine rates at different scenarios.
T177 1214-1402 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 1403-1581 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 1582-1853 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 1854-2021 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 2022-2338 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.
T182 2339-2541 Sentence denotes In the development of the COVID-19 model, [Tang et al., 2020a], [Tang et al., 2020b] considered the quarantined susceptible individuals returned back to susceptible individuals after 14 days quarantine.
T183 2542-2635 Sentence denotes While this condition is not included in our study the major reasons are displayed as follows.
T184 2636-2784 Sentence denotes Under the present quarantine strategies in China, the susceptible individuals are quarantined in the forms of home quarantine, community quarantine.
T185 2785-3184 Sentence denotes Although the quarantined susceptible individuals can be returned to susceptible individuals after 14 days, they will certainly employ very strict other controlling strategies against the COVID-19 virus, such as wearing the medical masks and washing their hands frequently, and which result in only very small part of the quarantined susceptible individuals back to the truth susceptible individuals.
T186 3185-3331 Sentence denotes For the simulation and prediction abilities of our model, it displayed that our model can well capture the COVID-19 variations with high accuracy.
T187 3332-3437 Sentence denotes In general, it is very hard to capture the disease variations with high accuracy by the dynamical models.
T188 3438-3550 Sentence denotes We have been compared our forecasting with the observed data prolonged 11 days from Feb 24, 2020 to Mar 4, 2020.
T189 3551-3658 Sentence denotes The absolute values of RE (relative error) of the cumulative confirmed cases are smaller than 1% (Table 2).
T190 3659-3826 Sentence denotes The corresponding figures also display that our model can capture the temporal variations in a relative longer period (see SFigure 1 in the supplementary information).
T191 3827-4021 Sentence denotes The weaker forecasting capabilities from Feb 24, 2020 to Mar 4, 2020 than these from Feb 20, 2020 to Feb 23, 2020 are resulted by the parameter estimation period of Jan 19, 2020 to Feb 19, 2020.
T192 4022-4211 Sentence denotes At the same time, it inspired that if we want to obtain a high accuracy in a relative longer period the dataset used to estimate the parameters should be changed or prolonged with the time.
T193 4212-4484 Sentence denotes Our result indicated that the increased numbers of the input population can mainly shorten the disease extinction days and the increased percentages of the exposed individuals of the input population increase the number of cumulative confirmed cases at a small percentage.
T194 4485-4638 Sentence denotes Both the increased input population and the increased exposed individuals have no impacts on the peak values and peak value times of the confirmed cases.
T195 4639-4858 Sentence denotes For the impacts of aspect 2, no quarantine or very weak quarantine on the susceptible individuals and exposed individuals before the days of the peak values of the confirmed cases may lead to the disease outbreak again.
T196 4859-4942 Sentence denotes This proves the significant role of the quarantine strategy on the disease control.
T197 4943-5152 Sentence denotes If we increase the input population and decrease the quarantine strategy together around the time point of the peak value of the confirmed cases, there will appear second outbreak of the disease exponentially.
T198 5153-5332 Sentence denotes Moreover, the weaker quarantine rates together with the more input population resulted in the more infected individuals and increased the number of the cumulative confirmed cases.
T199 5333-5441 Sentence denotes More information about our simulation and quarantine situation can be explored if more data can be obtained.
T200 5442-5667 Sentence denotes In this study, to address the quarantine situation in Guangdong province, 108 scenarios are listed from the input population and quarantine strategies which may include the present quarantine strategies in Guangdong province.
T201 5668-5844 Sentence denotes The other further analysis of the COVID-19 variations, such as the daily number of people under medical observation, will be explored when more new data are obtained in future.
T202 5845-6065 Sentence denotes Based the above analysis, we have the major conclusions as follows.(1) The COVID-19 disease variations can be simulated by our models with very high accuracy, including the cumulative confirmed cases and confirmed cases.
T203 6066-6248 Sentence denotes (2) Under the present daily input population and quarantine strategy, the COVID-19 disease will become extinction in May 11, 2020, with the cumulative confirmed cases number of 1397.
T204 6249-6475 Sentence denotes (3) In Guangdong province, the adjustment of the emergency response level of epidemic prevention and control from the first level response to the second level at Feb 24, 2020 is reasonable which is also predicted by our model.
T205 6476-6655 Sentence denotes (4) The disease will have a second outbreak risk when the input population is remarkably increased and the present quarantine strategy rapidly decreases to the values around zero.