Downloads provided by UsageCounts
A data-driven modelling approach based on an age-structured model that compares 116 Austrian regions to a suitably chosen control set of regions to explain variations in local transmission rates through a combination of meteorological factors, non-pharamaceutical interventions and mobility. Repository contains input data time series of metereological factors, regional measures and mobility used to calculate the effect sizes of these variable groups.
Mobility, Meterological factors, Epidemiology, SARS-CoV-2, Covid-19
Mobility, Meterological factors, Epidemiology, SARS-CoV-2, Covid-19
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 33 | |
| downloads | 19 |

Views provided by UsageCounts
Downloads provided by UsageCounts