Epistemic_Statements  

CORD-19:136a52d8100f85d1baa7976838bfcace2b6c08d7 JSONTXT 8 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T1 0-190 Epistemic_statement denotes Journal Pre-proof 1000,000 cases of COVID-19 outside of China: The date predicted by a simple heuristic 1,000,000 CASES OF COVID-19 OUTSIDE OF CHINA: THE DATE PREDICTED BY A SIMPLE HEURISTIC
T2 201-344 Epistemic_statement denotes Journal Pre-proof 1 such as ventilators in limited supply, preparations should be made ahead of time on how to allocate these finite resources.
T3 924-1040 Epistemic_statement denotes As pointed out in [4] the predictability could be improved by pairwise comparisons based on abductive reasoning [5].
T4 1927-2150 Epistemic_statement denotes Its accuracy has been 1.29% for the last day added and predicted by the 57 previous WHO situation reports ( Due to potentially overwhelming numbers of severe COVID-19 patients, medical resources need to be allocated wisely.
T5 2151-2258 Epistemic_statement denotes With hospital beds and life-saving machinery the simplest and most likely explanation for the observations.
T6 2259-2322 Epistemic_statement denotes In our case, the most likely explanation is exponential growth.
T7 2323-2406 Epistemic_statement denotes This process yields a plausible conclusion but may not always positively verify it.
T8 2725-2831 Epistemic_statement denotes This can be compared with maximizing, which produces an optimal result at the expense of suboptimal costs.
T9 2832-2938 Epistemic_statement denotes The extrapolation is a mathematical estimation, predicting unknown future values based on existing values.
T10 2939-3054 Epistemic_statement denotes Compared to interpolation, which determines unknown values between existing values, extrapolation is less accurate.
T11 3543-3631 Epistemic_statement denotes In China, where COVID-19 originated, the situation seems to be under control as the Fig.
T12 3645-3757 Epistemic_statement denotes For this reason, including data about China would deviate the results or at least make them difficult to obtain.
T13 3758-3839 Epistemic_statement denotes The visual inspection suggested the exponential growth, but could not be assumed.
T14 3948-3991 Epistemic_statement denotes We consider a non-linear model of the form:
T15 3992-4028 Epistemic_statement denotes with type exponential function f (.)
T16 4555-4626 Epistemic_statement denotes The lines of the plot, up to the last day of WHO situation report, are:
T17 4627-4674 Epistemic_statement denotes (1) the blue line connecting 18 March WHO data,
T18 4675-4721 Epistemic_statement denotes (2) the red line standing for 1,000,000 cases,
T19 4722-4821 Epistemic_statement denotes (3) the exponential curve computed by R to be as close as possible to the real data up to 18 March.
T20 4922-5045 Epistemic_statement denotes For this reason, on the right hand side of the vertical bar there is only one line which is the computed exponential curve.
T21 5046-5245 Epistemic_statement denotes Evidently, we do not have knowledge of how long (in terms of days) such an exponential curve will be an acceptable extrapolation; a million cases in 16 days, however, seems to have a high likeliness.
T22 5246-5315 Epistemic_statement denotes Such a finding has considerable importance and should not be ignored.
T23 5316-5545 Epistemic_statement denotes To the best of our knowledge, this may be the first study proposing a heuristic for computing parameters a and b for the approximating exponential curve a * exp(b * x) and for using x as the day number for the COVID-19 situation.
T24 5546-5696 Epistemic_statement denotes The more people know about our finding, the better chance that they may regard self-care as a major contribution to preventing the spread of COVID-19.
T25 5697-5758 Epistemic_statement denotes Our assumptions do not consider the complexity of a pandemic.
T26 5844-5946 Epistemic_statement denotes Simply, it is a short term prediction model, but it is very simple and we believe it is very accurate.
T27 6176-6322 Epistemic_statement denotes The presented approach is based on a heuristic solution and makes a realistic assumption that the current trend can continue for the next 17 days.
T28 6323-6455 Epistemic_statement denotes Obviously, it is an abstract, mathematical model; the reality may be different and COVID-19 situation may change in just a few days.