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The dataset reports the daily cumulative number of patients affected by COVID-19 from 24th of February to 29th of April 2020 gathered from the following website https://github.com/pcm-dpc/COVID-19. Data are produced and published by the Italian Civil Protection Department. Excel was used to build a time-series sheet. Data were subsequently fitted on the basis of a logistic function to capture the onset of the different epidemic phases in each Italian region.
logistic growth, COVID-19, epidemic phases, cumulative cases
logistic growth, COVID-19, epidemic phases, cumulative cases
| 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 | 11 | |
| downloads | 5 |

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Downloads provided by UsageCounts