LitCovid-sentences  

PMC:7014672 / 3301-7332 JSONTXT 9 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T26 0-30 Sentence denotes Incubation period distribution
T27 31-173 Sentence denotes Using the duration of stay in Wuhan and the symptom onset date, we obtained a range of possible values for the incubation period of each case.
T28 174-343 Sentence denotes We fitted three parametric forms for the incubation period distribution to these ranges: the Weibull distribution, the gamma distribution and the lognormal distribution.
T29 344-449 Sentence denotes We used a Bayesian approach to fitting that allows for the use of prior knowledge to inform the analysis.
T30 450-644 Sentence denotes We specified strictly positive flat prior probability distributions for the parameter values of the three distributions (Supplementary Material S2), which ensured our estimates are conservative.
T31 645-750 Sentence denotes Because of the sufficient number of observations, the impact of the priors on the outcome was negligible.
T32 751-869 Sentence denotes We used a uniform prior probability distribution over the exposure interval for the moment of infection for each case.
T33 870-1029 Sentence denotes We sampled from the posterior distribution using the rstan package [9] in R software version 3.6.0 (R Foundation, Vienna, Austria) (Supplementary Material S3).
T34 1030-1179 Sentence denotes Figure 1 shows the exposure to reporting timeline for each case, where the cases without a maximum incubation period lack an unexposed (grey) period.
T35 1180-1343 Sentence denotes However, the estimated infection times for these cases are close to the end of the exposure window, informed by the cases that do have a maximum incubation period.
T36 1344-1534 Sentence denotes Figure 1 Exposure to reporting timeline for confirmed 2019 novel coronavirus (2019-nCoV) cases with travel history from Wuhan, sorted by symptom onset date, data 20–28 January 2020 (n = 88)
T37 1535-1706 Sentence denotes The analysis yields the probability of being infected (dark pink), i.e. the cumulative density function of the estimated infection moments, using the Weibull distribution.
T38 1707-1776 Sentence denotes The Weibull distribution provided the best fit to the data (Table 1).
T39 1777-1861 Sentence denotes The mean incubation period was estimated to be 6.4 days (95% credible interval (CI):
T40 1862-1871 Sentence denotes 5.6–7.7).
T41 1872-1975 Sentence denotes The incubation period ranges from 2.1 to 11.1 days (2.5th to 97.5th percentile) (Table 2 and Figure 2).
T42 1976-2111 Sentence denotes The results using the gamma distribution provide a slightly poorer description of the data, but a similar range: from 2.4 to 12.5 days.
T43 2112-2331 Sentence denotes Although the lognormal distribution provides the poorest fit to the data, the incubation period ranging from 2.4 to 15.5 days (2.5th to 97.5th percentile) may be relevant for a conservative choice of quarantine periods.
T44 2332-2543 Sentence denotes Table 1 Estimated incubation period for travellers infected with 2019 novel coronavirus (2019-nCoV) in Wuhan, China, for different parametric forms of the incubation period distribution, data 20–28 January 2020
T45 2544-2589 Sentence denotes Distribution Mean (days) SD (days) LOO ICb
T46 2590-2626 Sentence denotes Estimatea 95% CI Estimatea 95% CI
T47 2627-2667 Sentence denotes Weibull 6.4 5.6–7.7 2.3 1.7–3.7 486
T48 2668-2706 Sentence denotes Gamma 6.5 5.6–7.9 2.6 1.8–4.2 545
T49 2707-2749 Sentence denotes Lognormal 6.8 5.7–8.8 3.4 2.1–6.4 592
T50 2750-2780 Sentence denotes CI: credible interval; LOO IC:
T51 2781-2841 Sentence denotes Leave-one-out information criterion; SD: standard deviation.
T52 2842-2861 Sentence denotes a Posterior median.
T53 2862-3002 Sentence denotes b LOO IC indicates the goodness-of-fit, where lower values indicate a better fit and differences larger than two are statistically relevant.
T54 3003-3229 Sentence denotes Table 2 Percentiles of estimated incubation period for travellers infected with 2019 novel coronavirus (2019-nCoV) in Wuhan, China, for different parametric forms of the incubation period distribution, data 20–28 January 2020
T55 3230-3280 Sentence denotes Percentiles Incubation period distribution (days)
T56 3281-3306 Sentence denotes Weibull Gamma Lognormal
T57 3307-3362 Sentence denotes Estimatea 95% CI Estimatea 95% CI Estimatea 95% CI
T58 3363-3410 Sentence denotes 2.5th 2.1 1.3–3.0 2.4 1.5–3.2 2.4 1.6–3.1
T59 3411-3456 Sentence denotes 5th 2.7 1.8–3.5 2.9 2.0–3.6 2.8 2.0–3.5
T60 3457-3503 Sentence denotes 50th 6.4 5.5–7.5 6.1 5.3–7.3 6.1 5.2–7.4
T61 3504-3556 Sentence denotes 95th 10.3 8.6–14.1 11.3 9.1–15.7 13.3 9.9–20.5
T62 3557-3612 Sentence denotes 97.5th 11.1 9.1–15.5 12.5 9.9–17.9 15.5 11.0–25.2
T63 3613-3667 Sentence denotes 99th 11.9 9.7–17.2 14.1 10.9–20.6 18.5 12.6–32.2
T64 3668-3690 Sentence denotes CI: credible interval.
T65 3691-3710 Sentence denotes a Posterior median.
T66 3711-3917 Sentence denotes Figure 2 The cumulative density function of the estimated Weibull incubation period distribution for travellers infected with the 2019 novel coronavirus (2019-nCoV) in Wuhan, China, data 20–28 January 2020
T67 3918-4031 Sentence denotes Posterior median of mean is indicated by the dark blue line and the 95% credible interval by the light blue area.