| 000 | 02110nam a22003137a 4500 | ||
|---|---|---|---|
| 001 | D0001C000066 | ||
| 003 | DOH | ||
| 005 | 20201123132702.0 | ||
| 008 | 201123b ||||| |||| 00| 0 eng d | ||
| 245 | 0 | 0 |
_aSubstantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV2) / _cRuiyun Li [and six others] |
| 520 | 3 | _aEstimation of the prevalence and contagiousness of undocumented novel coronavirus [severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2)] infections is critical for understanding the overall prevalence and pandemic potential of this disease. Here, we use observations of reported infection within China, in conjunction with mobility data, a networked dynamic metapopulation model, and Bayesian inference, to infer critical epidemiological characteristics associated with SARS-CoV-2, including the fraction of undocumented infections and their contagiousness. We estimate that 86% of all infections were undocumented [95% credible interval (CI): 82-90%] before the 23 January 2020 travel restrictions. The transmission rate of undocumented infections per person was 55% the transmission rate of documented infections (95% CI: 46-62%), yet, because of their greater numbers, undocumented infections were the source of 79% of the documented cases. These findings explain the rapid geographic spread of SARS-CoV-2 and indicate that containment of this virus will be particularly challenging. | |
| 580 | _aIn: Science. 2020 vol.368 (6490) page: 489–493. Published online 2020 Mar 16. doi: 10.1126/science.abb3221 | ||
| 650 | 2 | _aBayes Theorem | |
| 650 | 2 | _aBetacoronavirus | |
| 650 | 2 |
_aCoronavirus Infections _xdiagnosis |
|
| 650 | 2 |
_aCoronavirus Infections _xtransmission |
|
| 650 | 2 | _aEpidemiological Monitoring | |
| 650 | 2 | _aTravel | |
| 653 | _aCOVID-19 | ||
| 700 | 1 | _aLi, Ruiyun | |
| 700 | 1 | _aPei, Sen | |
| 700 | 1 | _aChen, Bin | |
| 700 | 1 | _aSong, Yimeng | |
| 700 | 1 | _aZhang, Tao | |
| 700 | 1 | _aYang, Wan | |
| 700 | 1 | _aShaman, Jeffrey | |
| 856 | _uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164387/ | ||
| 942 | _cCV | ||
| 999 |
_c1803 _d1803 |
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