| AutorIn 1: | ||||
| Boldog, Péter | ||||
| AutorIn 2: | ||||
| Tekeli, Tamás | ||||
| AutorIn 3: | ||||
| Vizi, Zsolt | ||||
| weitere AutorInnen: | ||||
| Dénes, Attila; Bartha, Ferenc A.; Röst, Gergely | ||||
| Titel: | ||||
| Risk Assessment of Novel Coronavirus COVID-19 Outbreaks Outside China | ||||
| Jahr: | ||||
| 2020 | ||||
| Zeitschrift: | ||||
| Jornal Clin. Med. 2020, 9, 571; doi:10.3390/jcm9020571 | ||||
| Abstract: | ||||
| "(...) We developed a computational tool to assess the risks of novel coronavirus outbreaks outside of China.
We estimate the dependence of the risk of a major outbreak in a country from imported cases on key
parameters such as: (i) the evolution of the cumulative number of cases in mainland China outside the closed
areas; (ii) the connectivity of the destination country with China, including baseline travel frequencies, the
effect of travel restrictions, and the efficacy of entry screening at destination; and (iii) the efficacy of control
measures in the destination country (expressed by the local reproduction number Rloc). We found that in
countries with low connectivity to China but with relatively high Rloc, the most beneficial control measure to
reduce the risk of outbreaks is a further reduction in their importation number either by entry screening or
travel restrictions. Countries with high connectivity but low Rloc benefit the most from policies that further
reduce Rloc. Countries in the middle should consider a combination of such policies. Risk assessments were
illustrated for selected groups of countries from America, Asia, and Europe. We investigated how their risks
depend on those parameters, and how the risk is increasing in time as the number of cases in China is
growing. (...)" [novel coronavirus; transmission; risk assessment; interventions; travel; outbreak; COVID-19; compartmental model; branching process] | ||||
Download: hier klicken (PDF 1,21 MB)URL: |  Journal of Clinical Medicine | |||