LitCovid-sentences  

PMC:7014672 / 9839-12486 JSONTXT 10 Projects

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Id Subject Object Predicate Lexical cue
T99 0-10 Sentence denotes Discussion
T100 11-184 Sentence denotes We characterised the distribution of incubation periods for travellers from Wuhan infected with 2019-nCoV in Wuhan who were reported as cases between 20 and 28 January 2020.
T101 185-471 Sentence denotes The study provides empirical evidence to back reports on a familial cluster where five family members developed symptoms 3 to 6 days after exposure [10], and fits within the range for the incubation period of 0 to 14 days assumed by the WHO and of 2 to 12 days assumed by the ECDC [11].
T102 472-596 Sentence denotes Our estimate of the mean incubation period is longer than the value of 5.2 days based on 10 cases [12], and 4.8 days (range:
T103 597-659 Sentence denotes 2–11) based on 16 travellers between Wuhan and Guangdong [13].
T104 660-734 Sentence denotes The latter study is restricted to travellers with a 3-day exposure window.
T105 735-877 Sentence denotes Repeating our analysis with only the 25 visitors to Wuhan who had a closed exposure window, leads to a mean incubation period of 4.5 days (CI:
T106 878-979 Sentence denotes 3.7–5.6) which is more in line with the studies above, but the 95th percentile drops to 8.0 days (CI:
T107 980-990 Sentence denotes 6.3–11.8).
T108 991-1100 Sentence denotes In our analysis, we assumed a uniform prior probability of being infected during the period of stay in Wuhan.
T109 1101-1264 Sentence denotes Since the epidemic was developing during that time period, it is more likely that travellers were infected towards the end rather than the beginning of their stay.
T110 1265-1408 Sentence denotes This might produce a slight bias towards longer incubation periods, so the estimated upper limit of 11.1 days could be considered conservative.
T111 1409-1489 Sentence denotes The travellers in this study represent a selective sample of the reported cases.
T112 1490-1576 Sentence denotes We found travellers to be more often male and younger than the cases reported in [12].
T113 1577-1671 Sentence denotes The numbers are too small to detect systematic differences in incubation time with age or sex.
T114 1672-1845 Sentence denotes Because we only have information on confirmed cases, there is likely a bias towards more severe cases in areas with early awareness and a well-functioning healthcare system.
T115 1846-2051 Sentence denotes As the epidemic continues, it remains important to collect more information on the incubation periods of 2019-nCoV cases with older ages, with underlying morbidity, who are women or who have mild symptoms.
T116 2052-2155 Sentence denotes There are various choices one can make about the parametric form of the incubation period distribution.
T117 2156-2304 Sentence denotes The results with the three often-used forms we report here suggest that there is little impact on the mean and dispersion of the incubation periods.
T118 2305-2406 Sentence denotes Of these three, the lognormal distribution assigns higher probabilities to longer incubation periods.
T119 2407-2647 Sentence denotes Although we found that this distribution provided a poorer description of the data than the Weibull and the gamma distributions, it is prudent not to dismiss the possibility of incubation periods up to 14 days at this stage of the epidemic.