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@InterdisciplinaryPhysicsTeam
InterdisciplinaryPhysicsTeam committed Dec 1, 2021
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Expand Up @@ -34,20 +34,20 @@ The original [data](https://covid19.infn.it/iss/) has been stored [here](https:/

| Collection | Symptimatic cases | Confirmed cases | Ordinary hospital admissions | Intensive hospital admission | Deceased cases | National level | Regional level | Provincial level | Age stratification | Sex stratification | Raw time series | Averaged time series |
| ------------------------------------------------------------ | :---------------: | :-------------: | :--------------------------: | :--------------------------: | :------------: | :------------: | :------------: | :--------------: | :----------------: | :----------------: | :--------------: | :------------------: |
| [Daily incidences at national and regional level](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/daily_incidences_by_region) | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | | ✅ | ✅ |
| [Daily incidences at provincial level](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/daily_incidences_by_province) | | ✅ | ✅ | ✅ | ✅ | | | ✅ | | | ✅ | ✅ |
| [Daily incidences of healthcare workers](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/daily_incidences_healthcare_workers_by_region) | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | | ✅ | |
| [Daily incidences of over-80](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/daily_incidences_over80_by_region) | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | | | | ✅ | |
| [Daily incidences by sex and age](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/daily_incidences_by_region_sex_age) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | ✅ |
| [Daily incidences ratios](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/daily_incidences_ratios_by_region) | | | | | | | | | ✅ | | | ✅ |
| [Daily Rₜ](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/daily_Rt_by_region_province_status) | | | | | | ✅ | ✅ | ✅ | | | ✅ | |
| [Absolute overall prevalences](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/overall_prevalences_by_region_sex_age) | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | | | |
| [Relative overall prevalences](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/relative_overall_prevalences_distributed_by_sex_age) | | ✅ | ✅ | ✅ | ✅ | ✅ | | | ✅ | ✅ | | |
| [Daily age distribution](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/daily_age_quantiles_by_status) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | ✅ | | | ✅ |
| [Daily incidences percentages by age](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/daily_incidences_percentages_by_age) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | | | ✅ | |
| [Daily incidences percentages by outcome](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/daily_incidences_percentages_by_region_outcome) | | | ✅ | ✅ | ✅ | ✅ | ✅ | | | | ✅ | |
| [Distribution of time delay from hospitalization to death](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/hospital_length_of_stay_distribution_deceased_by_region) | | | | | | ✅ | ✅ | | | | | |
| [Temporal distribution of time delay from hospitalization to death](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/temporal_distribution_of_time_delay_from_hospitalization_to_death) | | | | | | ✅ | | | | | | |
| [Daily incidences at national and regional level](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/daily_incidences_by_region) | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | | ✅ | ✅ |
| [Daily incidences at provincial level](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/daily_incidences_by_province) | | ✅ | ✅ | ✅ | ✅ | | | ✅ | | | ✅ | ✅ |
| [Daily incidences of healthcare workers](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/daily_incidences_healthcare_workers_by_region) | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | | ✅ | |
| [Daily incidences of over-80](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/daily_incidences_over80_by_region) | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | | | | ✅ | |
| [Daily incidences by sex and age](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/daily_incidences_by_region_sex_age) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | ✅ |
| [Daily incidences ratios](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/daily_incidences_ratios_by_region) | | | | | | | | | ✅ | | | ✅ |
| [Daily Rₜ](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/daily_Rt_by_region_province_status) | | | | | | ✅ | ✅ | ✅ | | | ✅ | |
| [Absolute overall prevalences](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/overall_prevalences_by_region_sex_age) | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | | | |
| [Relative overall prevalences](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/relative_overall_prevalences_distributed_by_sex_age) | | ✅ | ✅ | ✅ | ✅ | ✅ | | | ✅ | ✅ | | |
| [Daily age distribution](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/daily_age_quantiles_by_status) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | ✅ | | | ✅ |
| [Daily incidences percentages by age](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/daily_incidences_percentages_by_age) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | | | ✅ | |
| [Daily incidences percentages by outcome](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/daily_incidences_percentages_by_region_outcome) | | | ✅ | ✅ | ✅ | ✅ | ✅ | | | | ✅ | |
| [Distribution of time delay from hospitalization to death](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/hospital_length_of_stay_distribution_deceased_by_region) | | | | | | ✅ | ✅ | | | | | |
| [Temporal distribution of time delay from hospitalization to death](https://github.com/InPhyT/COVID19-Italy-Integrated-Surveillance-Data/tree/main/1_structured_archive/temporal_distribution_of_time_delay_from_hospitalization_to_death) | | | | | | ✅ | | | | | | |

### Input

Expand Down Expand Up @@ -166,8 +166,8 @@ If you use this data in your work, please cite this repository using the followi

### Software

1. Pietro Monticone, Claudio Moroni, UnrollingAverages.jl (2021) [https:/doi.org/10.5281/zenodo.5731622](https:/doi.org/10.5281/zenodo.5731622).
2. Tom Breloff, Plots.jl (2021) [https:/doi.org/10.5281/zenodo.5747251](https:/doi.org/10.5281/zenodo.5747251).
1. Pietro Monticone, Claudio Moroni, UnrollingAverages.jl (2021) https://doi.org/10.5281/zenodo.5725301.
2. Tom Breloff, Plots.jl (2021) https://doi.org/10.5281/zenodo.5747251.

### Scientific Literature

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