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PMC:7039910 / 20466-26049 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
244 385-390 Species denotes Ebola Tax:1570291
245 44-62 Disease denotes infectious disease MESH:D003141
246 148-156 Disease denotes COVID-19 MESH:C000657245
247 234-252 Disease denotes infectious disease MESH:D003141
248 345-364 Disease denotes infectious diseases MESH:D003141
249 395-399 Disease denotes SARS MESH:D045169
257 1197-1198 Gene denotes N Gene:43740575
258 1212-1213 Gene denotes N Gene:43740575
259 842-847 Disease denotes death MESH:D003643
260 891-897 Disease denotes deaths MESH:D003643
261 1023-1031 Disease denotes infected MESH:D007239
262 1288-1296 Disease denotes infected MESH:D007239
263 2133-2142 Disease denotes infection MESH:D007239
269 3131-3139 Species denotes patients Tax:9606
270 3254-3262 Species denotes patients Tax:9606
271 2766-2774 Disease denotes zoonotic MESH:D015047
272 3030-3038 Disease denotes COVID-19 MESH:C000657245
273 3421-3431 Disease denotes infections MESH:D007239
281 3891-3899 Species denotes SARS-CoV Tax:694009
282 3931-3939 Species denotes patients Tax:9606
283 3815-3825 Disease denotes infections MESH:D007239
284 3842-3847 Disease denotes fever MESH:D005334
285 3851-3859 Disease denotes COVID-19 MESH:C000657245
286 3904-3922 Disease denotes MERS-CoV infection MESH:D018352
287 4019-4024 Disease denotes fever MESH:D005334
290 4962-4973 Chemical denotes Huoshenshan
291 5012-5023 Chemical denotes Leishenshan

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T5 734-739 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T13 3842-3847 Phenotype denotes fever http://purl.obolibrary.org/obo/HP_0001945
T14 4019-4024 Phenotype denotes fever http://purl.obolibrary.org/obo/HP_0001945

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T74 44-62 Disease denotes infectious disease http://purl.obolibrary.org/obo/MONDO_0005550
T75 148-156 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T76 234-252 Disease denotes infectious disease http://purl.obolibrary.org/obo/MONDO_0005550
T77 345-355 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T78 385-390 Disease denotes Ebola http://purl.obolibrary.org/obo/MONDO_0005737
T79 1044-1054 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T80 1057-1067 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T81 2043-2047 Disease denotes SI∕N http://purl.obolibrary.org/obo/MONDO_0024475
T82 2055-2059 Disease denotes SI∕N http://purl.obolibrary.org/obo/MONDO_0024475
T83 2133-2142 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T84 2257-2267 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T85 3030-3038 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T86 3421-3431 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T87 3815-3825 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T88 3851-3859 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T89 3891-3899 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T69 193-194 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T70 260-263 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T71 264-265 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T72 294-297 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T73 326-327 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T74 677-684 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes animals
T75 1309-1310 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T76 1362-1363 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T77 2046-2050 http://purl.obolibrary.org/obo/CLO_0008147 denotes N,dE
T78 2702-2704 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T79 2820-2822 http://purl.obolibrary.org/obo/CLO_0008935 denotes s9
T80 2970-2972 http://purl.obolibrary.org/obo/CLO_0001022 denotes Li
T81 2970-2972 http://purl.obolibrary.org/obo/CLO_0007314 denotes Li
T82 3299-3301 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T83 3327-3329 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T84 3367-3369 http://purl.obolibrary.org/obo/CLO_0008935 denotes s9
T85 3438-3440 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T86 3785-3786 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T87 4001-4008 http://purl.obolibrary.org/obo/CLO_0009985 denotes focused
T88 4271-4272 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T89 4373-4375 http://purl.obolibrary.org/obo/CLO_0008935 denotes s9
T90 4723-4725 http://purl.obolibrary.org/obo/CLO_0008935 denotes s9
T91 5212-5214 http://purl.obolibrary.org/obo/CLO_0008935 denotes s9

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T7 1769-1773 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T8 1824-1828 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T9 1911-1916 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T10 1958-1963 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T11 1975-1979 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T12 2001-2006 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T13 2043-2045 Chemical denotes SI http://purl.obolibrary.org/obo/CHEBI_90326
T14 2055-2057 Chemical denotes SI http://purl.obolibrary.org/obo/CHEBI_90326
T15 2970-2972 Chemical denotes Li http://purl.obolibrary.org/obo/CHEBI_30145

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T143 0-21 Sentence denotes Materials and methods
T144 23-28 Sentence denotes Model
T145 29-179 Sentence denotes We employed an infectious disease dynamics model (SEIR model) for the purpose of modeling and predicting the number of COVID-19 cases in Wuhan, China.
T146 180-408 Sentence denotes The model is a classic epidemic method to analyze the infectious disease, which has a definite latent period, and has proved to be predictive for a variety of acute infectious diseases in the past such as Ebola and SARS22,26–31.
T147 409-639 Sentence denotes Application of the mathematical model is of great guiding significance to assess the impact of isolation of symptomatic cases as well as observation of asymptomatic contact cases and to promote evidence-based decisions and policy.
T148 640-898 Sentence denotes We assumed no new transmissions from animals, no differences in individual immunity, the time-scale of the epidemic is much faster than characteristic times for demographic processes (natural birth and death), and no differences in natural births and deaths.
T149 899-1169 Sentence denotes In this model, individuals are classified into four types: susceptible (S; at risk of contracting the disease), exposed (E; infected but not yet infectious), infectious (I; capable of transmitting the disease), and removed (R; those who recover or die from the disease).
T150 1170-1230 Sentence denotes The total population size (N) is given by N = S + E + I + R.
T151 1231-1389 Sentence denotes It is assumed that susceptible individuals who have been infected first enter a latent (exposed) stage, during which they may have a low level of infectivity.
T152 1390-2275 Sentence denotes The differential equations of the SEIR model are given as:32,33\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{array}{l}{\mathrm{d}}S/{\mathrm{d}}t = - {\beta}\,{S}\,{I}/{N},\\ {\mathrm{d}}E/{\mathrm{d}}t = {\beta}\,{S}\,{I}/{N} - {\sigma}\,{E},\\ {\mathrm{d}}I/{\mathrm{d}}t = {\sigma}\,{E} - {\gamma}\,{I},\\ {\mathrm{d}}R/{\mathrm{d}}t = {\gamma}\,{I},\\ {\beta} = {R}_{\mathrm{0}}{\gamma},\end{array}$$\end{document}dS∕dt=−βSI∕N,dE∕dt=βSI∕N−σE,dI∕dt=σE−γI,dR∕dt=γI,β=R0γ,where β is the transmission rate, σ is the infection rate calculated by the inverse of the mean latent period, and γ is the recovery rate calculated by the inverse of infectious period.
T153 2276-2375 Sentence denotes R software (version 3.6.2) was applied for all the calculations and estimates in the current study.
T154 2377-2413 Sentence denotes Data collection and parameter values
T155 2415-2509 Sentence denotes Estimation of the epidemic trend assuming the prevention and control measures are insufficient
T156 2510-2634 Sentence denotes We first estimated the epidemic trend in Wuhan, China assuming the current prevention and control measures are insufficient.
T157 2635-2719 Sentence denotes In this process, S was assumed to be the population of Wuhan City (11 million)15,34.
T158 2720-2834 Sentence denotes The initial assumed number of cases caused by zoonotic exposure was 40 (I) according to Imai et al.’s9 estimation.
T159 2835-2899 Sentence denotes We proposed E at 20 times of I in accordance with Read et al.13.
T160 2900-3054 Sentence denotes R was set as 0. σ was set as 1/5.2 according to the latest article by Li et al.15, which calculated the mean incubation period of COVID-19 to be 5.2 days.
T161 3055-3164 Sentence denotes Chen et al.6 calculated the average hospitalization period of 31 discharged patients to be 12.39 ± 4.77 days.
T162 3165-3331 Sentence denotes Yang et al.24 calculated the median time from disease onset to diagnosis among confirmed patients to be 5. γ was accordingly set as 1/18 (ceiling of 12.39 ± 5 is 18).
T163 3332-3449 Sentence denotes R0 was chosen based on Imai et al.’s9 estimation 2.6 (1.9–3.1) assuming 4000 (1000–9700) infections as of 18 January.
T164 3451-3543 Sentence denotes Estimation of the epidemic trend assuming the prevention and control measures are sufficient
T165 3544-3645 Sentence denotes This section discussed the scenario where the current prevention and control measures are sufficient.
T166 3646-3826 Sentence denotes The set of S, E, I, R, σ, and γ is the same as the first section except that we also explored the model with E at 30 times of I to provide a possible range of number of infections.
T167 3827-3925 Sentence denotes The absence of fever in COVID-19 cases is more frequent than in SARS-CoV and MERS-CoV infection35.
T168 3926-4035 Sentence denotes Such patients may be missed since the current surveillance case definition focused mainly on fever detection.
T169 4036-4106 Sentence denotes Accordingly, the possibility of E at 30 times of I cannot be excluded.
T170 4107-4147 Sentence denotes R0 in this section was chosen by phases.
T171 4148-4326 Sentence denotes The first phase ranges from 1 December 2019 to 23 January 2020 and can be regarded as the early phase of the epidemic when a few prevention and control measures were implemented.
T172 4327-4414 Sentence denotes R0 was set as 3.1 consistent with Imai et al.’s9 estimation of high transmission level.
T173 4415-4631 Sentence denotes On 23 January 2020, airplanes, trains, and other public transportation within the city were restricted and other prevention and control measures such as quarantine and isolation were gradually established in Wuhan20.
T174 4632-4768 Sentence denotes So, the second phase began on 24 January and Rt was set as 2.6 consistent with Imai et al.’s9 estimation of moderate transmission level.
T175 4769-4929 Sentence denotes Second February was the last day of the extended Spring Festival holiday and Chinese authorities mobilized more medical resources to support Wuhan ever since36.
T176 4930-5070 Sentence denotes The newly constructed hospital “Huoshenshan” came into service on this day37 and “Leishenshan,” mobile cabin hospitals several days later38.
T177 5071-5122 Sentence denotes Also, more and more medical teams arrived in Wuhan.
T178 5123-5252 Sentence denotes So the third phase began on 3 February and Rt was set as 1.9 consistent with Imai et al.’s9 estimation of low transmission level.
T179 5253-5329 Sentence denotes All of these measures may need one longest incubation period to take effect.
T180 5330-5583 Sentence denotes So, the last phase began on 16 February and Rt was set as 0.9 and 0.5, respectively, assuming the prevention and control measures are sufficient and effective to depict two different levels of effect of the measures in reducing transmission probability.

2_test

Id Subject Object Predicate Lexical cue
32133152-17282008-19616456 402-404 17282008 denotes 26
32133152-24012502-19616456 402-404 24012502 denotes 26
32133152-28466232-19616456 402-404 28466232 denotes 26
32133152-19289133-19616456 402-404 19289133 denotes 26
32133152-17254982-19616457 1448-1450 17254982 denotes 32
32133152-15178190-19616458 1451-1453 15178190 denotes 33