LitCovid-sentences-v1  

PubMed:32171059 JSONTXT 14 Projects

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Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-87 Sentence denotes Early dynamics of transmission and control of COVID-19: a mathematical modelling study.
TextSentencer_T2 88-99 Sentence denotes BACKGROUND:
TextSentencer_T3 100-230 Sentence denotes An outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to 95 333 confirmed cases as of March 5, 2020.
TextSentencer_T4 231-435 Sentence denotes Understanding the early transmission dynamics of the infection and evaluating the effectiveness of control measures is crucial for assessing the potential for sustained transmission to occur in new areas.
TextSentencer_T5 436-640 Sentence denotes Combining a mathematical model of severe SARS-CoV-2 transmission with four datasets from within and outside Wuhan, we estimated how transmission in Wuhan varied between December, 2019, and February, 2020.
TextSentencer_T6 641-792 Sentence denotes We used these estimates to assess the potential for sustained human-to-human transmission to occur in locations outside Wuhan if cases were introduced.
TextSentencer_T7 793-801 Sentence denotes METHODS:
TextSentencer_T8 802-1053 Sentence denotes We combined a stochastic transmission model with data on cases of coronavirus disease 2019 (COVID-19) in Wuhan and international cases that originated in Wuhan to estimate how transmission had varied over time during January, 2020, and February, 2020.
TextSentencer_T9 1054-1183 Sentence denotes Based on these estimates, we then calculated the probability that newly introduced cases might generate outbreaks in other areas.
TextSentencer_T10 1184-1395 Sentence denotes To estimate the early dynamics of transmission in Wuhan, we fitted a stochastic transmission dynamic model to multiple publicly available datasets on cases in Wuhan and internationally exported cases from Wuhan.
TextSentencer_T11 1396-1849 Sentence denotes The four datasets we fitted to were: daily number of new internationally exported cases (or lack thereof), by date of onset, as of Jan 26, 2020; daily number of new cases in Wuhan with no market exposure, by date of onset, between Dec 1, 2019, and Jan 1, 2020; daily number of new cases in China, by date of onset, between Dec 29, 2019, and Jan 23, 2020; and proportion of infected passengers on evacuation flights between Jan 29, 2020, and Feb 4, 2020.
TextSentencer_T12 1850-2200 Sentence denotes We used an additional two datasets for comparison with model outputs: daily number of new exported cases from Wuhan (or lack thereof) in countries with high connectivity to Wuhan (ie, top 20 most at-risk countries), by date of confirmation, as of Feb 10, 2020; and data on new confirmed cases reported in Wuhan between Jan 16, 2020, and Feb 11, 2020.
TextSentencer_T13 2201-2210 Sentence denotes FINDINGS:
TextSentencer_T14 2211-2418 Sentence denotes We estimated that the median daily reproduction number (Rt) in Wuhan declined from 2·35 (95% CI 1·15-4·77) 1 week before travel restrictions were introduced on Jan 23, 2020, to 1·05 (0·41-2·39) 1 week after.
TextSentencer_T15 2419-2719 Sentence denotes Based on our estimates of Rt, assuming SARS-like variation, we calculated that in locations with similar transmission potential to Wuhan in early January, once there are at least four independently introduced cases, there is a more than 50% chance the infection will establish within that population.
TextSentencer_T16 2720-2735 Sentence denotes INTERPRETATION:
TextSentencer_T17 2736-2894 Sentence denotes Our results show that COVID-19 transmission probably declined in Wuhan during late January, 2020, coinciding with the introduction of travel control measures.
TextSentencer_T18 2895-3137 Sentence denotes As more cases arrive in international locations with similar transmission potential to Wuhan before these control measures, it is likely many chains of transmission will fail to establish initially, but might lead to new outbreaks eventually.
TextSentencer_T19 3138-3146 Sentence denotes FUNDING:
TextSentencer_T20 3147-3264 Sentence denotes Wellcome Trust, Health Data Research UK, Bill & Melinda Gates Foundation, and National Institute for Health Research.