After entering Italy, the coronavirus (COVID-19) spread fast. The strict lockdown implemented by the government during the Spring 2020 helped to slow down the outbreak. However, the country had to face four new harsh waves of contagion. As of January 1, 2025, the total number of cases reported by the authorities reached over 26.9 million. The north of the country was mostly hit, and the region with the highest number of cases was Lombardy, which registered almost 4.4 million of them. The north-eastern region of Veneto and the southern region of Campania followed in the list. When adjusting these figures for the population size of each region, however, the picture changed, with the region of Veneto being the area where the virus had the highest relative incidence. Coronavirus in Italy Italy has been among the countries most impacted by the coronavirus outbreak. Moreover, the number of deaths due to coronavirus recorded in Italy is significantly high, making it one of the countries with the highest fatality rates worldwide, especially in the first stages of the pandemic. In particular, a very high mortality rate was recorded among patients aged 80 years or older. Impact on the economy The lockdown imposed during the Spring 2020, and other measures taken in the following months to contain the pandemic, forced many businesses to shut their doors and caused industrial production to slow down significantly. As a result, consumption fell, with the sectors most severely hit being hospitality and tourism, air transport, and automotive. Several predictions about the evolution of the global economy were published at the beginning of the pandemic, based on different scenarios about the development of the pandemic. According to the official results, it appeared that the coronavirus outbreak had caused Italy’s GDP to shrink by approximately nine percent in 2020.
The first two cases of the new coronavirus (COVID-19) in Italy were recorded between the end of January and the beginning of February 2020. Since then, the number of cases in Italy increased steadily, reaching over 26.9 million as of January 8, 2025. The region mostly hit by the virus in the country was Lombardy, counting almost 4.4 million cases. On January 11, 2022, 220,532 new cases were registered, which represented the biggest daily increase in cases in Italy since the start of the pandemic. The virus originated in Wuhan, a Chinese city populated by millions and located in the province of Hubei. More statistics and facts about the virus in Italy are available here.For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.
https://www.epicentro.iss.it/coronavirus/pdf/informazioni-privacy-iss-sorveglianza-integrata-covid-19.pdfhttps://www.epicentro.iss.it/coronavirus/pdf/informazioni-privacy-iss-sorveglianza-integrata-covid-19.pdf
Daily information on the spread of the COVID-19 epidemic in Italy (over time and by location) and on the characteristics of the reported cases. They are provided in the form of charts, maps and tables, or in the form of bulletins providing a more in-depth analysis of the gathered information.
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
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To inform citizens and make the collected data available, the Department of Civil Protection has developed an interactive geographic dashboard accessible at the addresses http://arcg.is/C1unv (desktop version) and http://arcg.is/081a51 (mobile version) and makes available, with CC-BY-4.0 license, the following information updated daily at 18:30 (after the Head of Department press conference). For more detail, see https://github.com/pcm-dpc/COVID-19.
COVID-19 data Italy
National trend Json data Provinces data Regions data Summary cards Areas Repository structure COVID-19 / │ ├── national-trend / │ ├── dpc-covid19-eng-national-trend-yyyymmdd.csv ├── areas / │ ├── geojson │ │ ├── dpc-covid19-ita-aree.geojson │ ├── shp │ │ ├── dpc-covid19-eng-areas.shp ├── data-provinces / │ ├── dpc-covid19-ita-province-yyyymmdd.csv ├── data-json / │ ├── dpc-covid19-eng - *. Json ├── data-regions / │ ├── dpc-covid19-eng-regions-yyyymmdd.csv ├── summary-sheets / │ ├── provinces │ │ ├── dpc-covid19-ita-scheda-province-yyyymmdd.pdf │ ├── regions │ │ ├── dpc-covid19-eng-card-regions-yyyymmdd.pdf
Data by Region Directory: data-regions Daily file structure: dpc-covid19-ita-regions-yyyymmdd.csv (dpc-covid19-ita-regions-20200224.csv) Overall file: dpc-covid19-eng-regions.csv An overall JSON file of all dates is made available in the "data-json" folder: dpc-covid19-eng-regions.json
Data by Province Directory: data-provinces Daily file structure: dpc-covid19-ita-province-yyyymmdd.csv (dpc-covid19-ita-province-20200224.csv) Overall file: dpc-covid19-ita-province.csv
Banner photo by CDC on Unsplash
Data from https://github.com/pcm-dpc/COVID-19 released under a CC 4.0 license. See https://github.com/pcm-dpc/COVID-19 for more detail.
https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE
In past 24 hours, Italy, Europe had N/A new cases, N/A deaths and N/A recoveries.
This data was gathered as part of the data mining project for the General Assembly Data Science course. using the API from https://rapidapi.com/astsiatsko/api/coronavirus-monitor .
The Covid-19 is a contagious coronavirus that hailed from Wuhan, China. This new strain of the virus has strike fear in many countries as cities are quarantined and hospitals are overcrowded. This dataset will help us understand how Covid-19 in Italy.
On March 8, 2020 - Italy’s prime minister announced a sweeping coronavirus quarantine early Sunday, restricting the movements of about a quarter of the country’s population in a bid to limit contagions at the epicenter of Europe’s outbreak.
### High Light: - Spread to various overtime in Italy - Try to predict the spread of COVID-19 ahead of time to take preventive measures
https://www.livescience.com/why-italy-coronavirus-deaths-so-high.html
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This is the Italian Coronavirus data repository from the Dipartimento della Protezione Civile . This dataset was created in response to the Coronavirus public health emergency in Italy and includes COVID-19 cases reported by region. More information on the data repository is available here . For additional information on Italy’s situation tracking and reporting, see the department’s Coronavirus site and interactive dashboard . This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery . This dataset is hosted in both the EU and US regions of BigQuery. See the links below for the appropriate dataset copy: US region EU region This dataset has significant public interest in light of the COVID-19 crisis. All bytes processed in queries against this dataset will be zeroed out, making this part of the query free. Data joined with the dataset will be billed at the normal rate to prevent abuse. After September 15, queries over these datasets will revert to the normal billing rate.
As part of the efforts of the World Bank Group to understand the impact of COVID-19 on the private sector, the Enterprise Analysis unit is conducting follow-up surveys on recently completed Enterprise Surveys (ES) in several countries. These short surveys follow the baseline ES and are designed to provide quick information on the impact and adjustments that COVID-19 has brought about in the private sector.
Italy
Firms
Sample survey data [ssd]
The follow-up surveys re-contact all establishments sampled in the standard ES using stratified random sampling. The total sample target was 760. Sample Frame Source : Completed interviews in the Italy 2019 ES. For more information on sampling methodology, see https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note.pdf
Computer Assisted Telephone Interviews (CATI) and Computer Assisted Web Interviews (CAWI), with phone follow-up
The questionnaire contains the following modules: - Control information and introduction - Sales - Production - Labor - Finance - Policies - Expectations - Information on permanently closed establishments - Interview protocol
65.9%
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The number of COVID-19 vaccination doses administered in Italy rose to 143854436 as of Oct 27 2023. This dataset includes a chart with historical data for Italy Coronavirus Vaccination Total.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Italy recorded 190080 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Italy reported 25828252 Coronavirus Cases. This dataset includes a chart with historical data for Italy Coronavirus Deaths.
This data set has been taken from "https://github.com/pcm-dpc/COVID-19", it contains the data from Covid-19 cases per day in Italy counted in every italian region. The data set is updated every day at 18:00 with the new datas from the day.
"data" :contains the date of the relevation "stato" : contains the state in wich the cases has been registered ( in this caseit is allways ITA for Italy) "codice_regione" : region's code "denominazione_regione" : region's name "lat" and "long" : latitude and longitude of every region "ricoverati_con_sintomi" : hospitalized with symptoms "terapia_intensia" : patients in intensive care "totale_ospedalizati": total hospitalized patients "isolamento_domiciliare": patients in house quarantine "totale_positivi": total number of infected patients "variazione_totale_positivi": variation of the number of positives patients "nuovi_positivi": number of new infected people "dimessi_guariti": dismissed/healed patients "deceduti": deceased "totale_casi": total number of positives patients "tamponi": number of tests "casi_testati": number if tested people
I have found this data set on thi reddit page : https://github.com/pcm-dpc/COVID-19, it get's updated every day at 18:00 Italian time.
This dataset was created by StanleyMilgram
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COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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This dataset contains key characteristics about the data described in the Data Descriptor COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown. Contents:
1. human readable metadata summary table in CSV format
2. machine readable metadata file in JSON format
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Case data from 02-24-2020 to 08-16-2020, this data repository stores COVID-19 virus case data for Italy, including daily case data, summary data, and base map. Each zip file contains weekly case data from Monday to Sunday.
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COVID-19 data for Italy from 2020-02-24 to 2023-11-01, including tot_cases, tot_deaths
Files:
As of January 1, 2025, the total number of coronavirus (COVID-19) cases in Italy amounted to over 26.9 million, approximately 218,000 of which were active cases. Moreover, the number of people who recovered or were discharged from hospital after contracting the virus reached over 26.5 million, while the number of deceased was equal to 198,638. For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This repository includes a Linked Data representation of the covid19-ita dataset provided by the Department of Civil Protection in Italy, following the RDF Data Cube Vocabulary and the KPIOnto ontology. The dataset includes measurements of various indicators related to COVID19 spread at the province, regional, and country levels, on a daily basis from February 24th to November 20th, 2020. The RDF format allows describing statistical multidimensional data as Linked Data on the Web. As such, each data point is represented as an observation of the relevant measures along two dimensions, namely time and geographical area.
The project is also available on Github.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
COVID-19 data for Italy from 2020-02-24 to 2023-11-01, including tot_cases, tot_deaths
https://www.iddo.org/tools-resources/data-use-agreementhttps://www.iddo.org/tools-resources/data-use-agreement
Clinical data from patients hospitalised with COVID19 in Italy, shared as a part of the ISARIC Clinical Characterisation Group collaboration.
After entering Italy, the coronavirus (COVID-19) spread fast. The strict lockdown implemented by the government during the Spring 2020 helped to slow down the outbreak. However, the country had to face four new harsh waves of contagion. As of January 1, 2025, the total number of cases reported by the authorities reached over 26.9 million. The north of the country was mostly hit, and the region with the highest number of cases was Lombardy, which registered almost 4.4 million of them. The north-eastern region of Veneto and the southern region of Campania followed in the list. When adjusting these figures for the population size of each region, however, the picture changed, with the region of Veneto being the area where the virus had the highest relative incidence. Coronavirus in Italy Italy has been among the countries most impacted by the coronavirus outbreak. Moreover, the number of deaths due to coronavirus recorded in Italy is significantly high, making it one of the countries with the highest fatality rates worldwide, especially in the first stages of the pandemic. In particular, a very high mortality rate was recorded among patients aged 80 years or older. Impact on the economy The lockdown imposed during the Spring 2020, and other measures taken in the following months to contain the pandemic, forced many businesses to shut their doors and caused industrial production to slow down significantly. As a result, consumption fell, with the sectors most severely hit being hospitality and tourism, air transport, and automotive. Several predictions about the evolution of the global economy were published at the beginning of the pandemic, based on different scenarios about the development of the pandemic. According to the official results, it appeared that the coronavirus outbreak had caused Italy’s GDP to shrink by approximately nine percent in 2020.