Author: Patrick Bryant; Arne Elofsson
Title: Estimating the impact of mobility patterns on COVID-19 infection rates in 11 European countries Document date: 2020_4_17
ID: emejt26r_20
Snippet: The failure of Sweden (according to our model) to reduce R 0 , and thus limit the spread, can be attributed to the more relaxed approach of their government (The Guardian, 2020). While the other European countries have taken more drastic measures, Sweden has been both slow and in comparison unclear with their implementations, which is reflected in their mobility data (see Figure 3 ). If Sweden does not constitute an exception in terms of the effe.....
Document: The failure of Sweden (according to our model) to reduce R 0 , and thus limit the spread, can be attributed to the more relaxed approach of their government (The Guardian, 2020). While the other European countries have taken more drastic measures, Sweden has been both slow and in comparison unclear with their implementations, which is reflected in their mobility data (see Figure 3 ). If Sweden does not constitute an exception in terms of the effect of mobility patterns on the epidemic spread, their near future will likely be that of an overwhelmed health care system according to our model. This is in agreement with other recent predictions, based only on interventions (IHME COVID-19 health service utilization forecasting team 2020) .
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