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{"references": ["Pietro Monticone, Claudio Moroni, UnrollingAverages.jl (2021) https://doi.org/10.5281/zenodo.5725301", "Tom Breloff, Plots.jl (2021) https://doi.org/10.5281/zenodo.5747251"]}
COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages.
Data Analysis, Data, Surveillance, Epidemiology, SARS-CoV-2, Statistics, COVID-19, Time Series, Computational Epidemiology, COVID-19 Data, SARS-CoV-2 Data, Epidemiological Data, Italy, Open Data, FOS: Mathematics, Time Series Analysis, Incidence Data, Mathematical Epidemiology, Surveillance Data
Data Analysis, Data, Surveillance, Epidemiology, SARS-CoV-2, Statistics, COVID-19, Time Series, Computational Epidemiology, COVID-19 Data, SARS-CoV-2 Data, Epidemiological Data, Italy, Open Data, FOS: Mathematics, Time Series Analysis, Incidence Data, Mathematical Epidemiology, Surveillance Data
| 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 | 1 |

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