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.

As of January 1, 2025, the number of active coronavirus (COVID-19) infections in Italy was approximately 218,000. Among these, 42 infected individuals were being treated in intensive care units. Another 1,332 individuals infected with the coronavirus were hospitalized with symptoms, while approximately 217,000 thousand were in isolation at home. The total number of coronavirus cases in Italy reached over 26.9 million (including active cases, individuals who recovered, and individuals who died) as of the same date. The region mostly hit by the spread of the virus was Lombardy, which counted almost 4.4 million cases.For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

Temporal parameters of the outbreak in Italy and corresponding temporal parameters in the model.

Activation time (UTC): 2020-04-05 22:46:00
Event time (UTC): 2020-04-06 08:00:00
Event type: Epidemic (Viral disease)

Activation reason:
Italy is currently facing a serious situation related to the Covid-19. The Head of the Civil Protection Department has been nominated as national emergency Coordinator and the entire National System has been activated to face the Emergency. From the first day of March, the entire Italian territory has been put on lock-down and further initiatives are being implemented to limit the spread of the disease. The Civil Protection needs to map all the temporary health facilities (such as triage facilities, field hospitals and so on) as well the gathering places in order to have a clear understanding of the current situation of the territory for the subsequent monitoring of activities and public spaces during the emergency.

Reference products: 8
Delineation products: 7
Grading products: 0

Copernicus Emergency Management Service - Mapping is a service funded by European Commission aimed at providing actors in the management of natural and man-made disasters, in particular Civil Protection Authorities and Humanitarian Aid actors, with mapping products based on satellite imagery.

Background: Coronavirus Disease 2019 (COVID-19) is currently a global public health threat. Outside of China, Italy is one of the countries suffering the most with the COVID-19 epidemic. It is important to predict the epidemic trend of the COVID-19 epidemic in Italy to help develop public health strategies.Methods: We used time-series data of COVID-19 from Jan 22 2020 to Apr 02 2020. An infectious disease dynamic extended susceptible-infected-removed (eSIR) model, which covers the effects of different intervention measures in dissimilar periods, was applied to estimate the epidemic trend in Italy. The basic reproductive number was estimated using Markov Chain Monte Carlo methods and presented using the resulting posterior mean and 95% credible interval (CI). Hunan, with a similar total population number to Italy, was used as a comparative item.Results: In the eSIR model, we estimated that the mean of basic reproductive number for COVID-19 was 4.34 (95% CI, 3.04–6.00) in Italy and 3.16 (95% CI, 1.73–5.25) in Hunan. There would be a total of 182 051 infected cases (95%CI:116 114–274 378) under the current country blockade and the endpoint would be Aug 05 in Italy.Conclusion: Italy's current strict measures can efficaciously prevent the further spread of COVID-19 and should be maintained. Necessary strict public health measures should be implemented as soon as possible in other European countries with a high number of COVID-19 cases. The most effective strategy needs to be confirmed in further studies.

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

Italy went through five coronavirus waves during the pandemic. As of January 8, 2025, the number of active coronavirus cases in the country was equal to approximately 203,305. On January 23, 2022, there were 2,734,906 active infections in Italy, the highest figure since the start of the pandemic. Furthermore, the total number of cases (including active cases, recoveries, and deaths) in Italy reached 26.9 million, with the region mostly hit by the virus in the country being Lombardy. Despite this notably high number of infections, deaths and hospitalizations remain rather low, thanks to a very high vaccination rate. 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.

Context

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 .

Covid-19

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

Content

• id: id number
• total_cases: the total number of cases have the coronavirus
• new_cases: the number of new cases with coronavirus in this day and time
• active_cases: Number of active cases with coronavirus
• total_deaths: the total deaths numbers by a coronavirus
• new_deaths: the number of new deaths in this day and time
• total_recovered: the number of recovered from the coronavirus
• serious_critical: numbe of the people have the coronavirus in serious critical
• total_cases_per1m: the number of confirmed cases per 1 million people than China
• record_date: Date of notification - YYYY-MM-DD HH:MM:SS

Inspiration

https://www.livescience.com/why-italy-coronavirus-deaths-so-high.html

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.

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.

Analysis of ‘COVID-19 in Italy’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/sudalairajkumar/covid19-in-italy on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

Coronaviruses are a large family of viruses which may cause illness in animals or humans. In humans, several coronaviruses are known to cause respiratory infections ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). The most recently discovered coronavirus causes coronavirus disease COVID-19 - WHO

People can catch COVID-19 from others who have the virus. This has been spreading rapidly around the world and Italy is one of the most affected country.

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. - TIME

Content

This dataset is from https://github.com/pcm-dpc/COVID-19 collected by Sito del Dipartimento della Protezione Civile - Emergenza Coronavirus: la risposta nazionale

This dataset has two files

• covid19_italy_province.csv - Province level data of COVID-19 cases
• covid_italy_region.csv - Region level data of COVID-19 cases

Acknowledgements

Data is collected by Sito del Dipartimento della Protezione Civile - Emergenza Coronavirus: la risposta nazionale and is uploaded into this github repo.

Dashboard on the data can be seen here. Picture courtesy is from the dashboard.

Inspiration

Insights on * Spread to various regions over time * Try to predict the spread of COVID-19 ahead of time to take preventive measures

--- Original source retains full ownership of the source dataset ---

Identifying changes in the reproduction number, rate of spread, and doubling time during the course of the COVID-19 outbreak whilst accounting for potential biases due to delays in case reporting both nationally and subnationally in Italy. These results are impacted by changes in testing effort, increases and decreases in testing effort will increase and decrease reproduction number estimates respectively.

COVID-19 data for Italy from 2020-02-24 to 2023-11-01, including tot_cases, tot_deaths

In Italy, the epidemiological surveillance of West Nile virus (WNV) infections in humans is regulated by the “National prevention, surveillance and response plan for arboviral diseases (PNA) 2020-2025“. The document integrates veterinary (animal and entomological) surveillance of West Nile virus (WNV) - essential for risk estimation - and human cases into a single plan.

Surveillance of imported and local human infections is carried out all year round throughout the country, and between early May and late November in Regions where an endemic area has been identified. In these areas the surveillance of human cases must be strengthened and special attention must be paid to the diagnosis of WNV disease in the population. The reporting system also collects positivities for WNV detected in donors of blood, blood derivatives and organs, tissues and cells, with a view to the application of specific preventive measures and any febrile clinical forms found in the country.

Human surveillance is coordinated at national level by the Istituto Superiore di Sanità (ISS) and the Ministry of Health, which transmits the data to the European Commission and the ECDC. The Regions, in full autonomy, define the regulatory-programmatic documents for epidemiological and laboratory surveillance on their territory and transmit the data to the ISS and the Ministry. The Department of Infectious Diseases of the Istituto Superiore di Sanità, with the coordination of Office V of the Directorate General for Prevention of the Ministry of Health and in collaboration with the Centre for the Study of Exotic Diseases (Cesme) of the Experimental Zooprophylactic Institute of Abruzzo and Molise 'Giuseppe Caporale' (IZS Teramo), publishes the data of the surveillance system in a periodical bulletin.

In order to inform citizens and make the collected data available, which is only useful for communication and information purposes, the following information is made available under the CC-BY-4.0 licence

• National evolution data
• Regional data
• Provincial data
• Summary bulletins

The complete list of bulletins is available at the following link: https://www.epicentro.iss.it/westnile/bollettino

The COVID-19 pandemic is an unparalleled global crisis. Yet despite the grave adversity faced by citizens, incumbents around the world experienced a boost in popularity during the onset of the outbreak. In this study, we examine how the response to the COVID-19 outbreak in one country affected incumbent support in other countries. Specifically, we leverage the fact that the first country-wide lockdown on European soil, in Italy on March 9, 2020, happened during the fieldwork of surveys conducted in four other European countries, France, Germany, Poland and Spain. This allows us to examine how an event abroad that alerted citizens to an imminent crisis – prior to a similar domestic government response – influenced incumbent support. Our results indicate a crisis signal effect of Italy’s COVID-19 lockdown, as support for the incumbent increased domestically in other European countries after the lockdown. Importantly, these findings suggest that incumbents can benefit from a crisis unfolding in other countries, even when their own performance in response to the same crisis is not yet fully clear. They illustrate the importance of developments abroad for incumbent approval and the difficulty facing citizens seeking to disentangle performance signals from exogenous shocks.

Italian Dengue data

Sito dell'Istituto Superiore di Sanità - Sistema nazionale di sorveglianza delle arbovirosi: i bollettini periodici

Arboviral diseases are caused by viral agents carried by arthropod insects, such as mosquitoes, ticks and phlebotomas, through their bite or sting. Currently, more than 100 viruses associated with arboviruses have been identified that are capable of causing disorders in human health. The majority of these viruses belong to families and groups such as the Togaviridae (Alphavirus), the Flaviridae (Flavivirus) and the Bunyaviridae (Bunyavirus and Phlebovirus). In Italy, arboviral infections may arise from both imported and autochthonous cases and may present with diverse clinical symptoms. Surveillance of arboviruses is coordinated by the Istituto Superiore di Sanità (ISS) and, in the case of West Nile and Usutu virus surveillance, by the Istituto Zooprofilattico dell'Abruzzo e del Molise (Izs-AM), in collaboration with the Ministry of Health, which periodically publishes Surveillance and Response Plans to ensure early detection of cases and to reduce any spread as far as possible. Epidemiological surveillance is regulated by the "National Plan for Prevention, Surveillance and Response to Arboviruses (PNA) 2020-2025".

In order to inform citizens and make the collected data available, which is only useful for communication and information purposes, the following information is made available under the CC-BY-4.0 licence

- National evolution data
- Regional data
- Summary bulletins

Repository structure
```
dengue/
│
├── */
│ ├── bulletins/
│ │ ├── Dengue_*.pdf
│ │ ├── ...
│ ├── surveillance/
│ │ ├── 2023/
│ │ │ ├── dengue-ita-*.csv
│ │ │ ├── dengue-ita-age-*.csv
│ │ │ ├── dengue-ita-location-exposure-*.csv
│ │ │ ├── dengue-ita-regions-*.csv
│ │ ├── ...
│ │ │ ├── ...
│ ├── dengue-ita-summary-cases.csv
│ ├── dengue-ita-summary-cases-regions.csv

```

Data structure

- Evoulution data about Dengue Italy (IT)

Example of data use

Direct download (CSV): https://raw.githubusercontent.com/fbranda/dengue/main/surveillance/dengue-ita-2023.csv

Python (requires `pandas`):
```python
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/fbranda/dengue/main/surveillance/dengue-ita-2023.csv")
```

R (requires `httr`):
```r
library(httr)
df <- read.csv(text=content(GET("https://raw.githubusercontent.com/fbranda/dengue/main/surveillance/dengue-ita-2023.csv")))
```

As of January 1, 2025, Rome (Lazio) was the Italian province which registered the highest number of coronavirus (COVID-19) cases in the country. Milan (Lombardy) came second in this ranking, while Naples (Campania) and Turin (Piedmont) followed. These four areas are also the four most populated provinces in Italy. The region of Lombardy was the mostly hit by the spread of the virus, recording almost one sixth of all coronavirus cases in the country. The provinces of Milan and Brescia accounted for a large part of this figure. For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

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Italy is one of the first European epicenters of the COVID-19 pandemic. In attempts to hinder the spread of the novel coronavirus disease, Italian government hardened protective measures, from quarantine to lockdown, impacting millions of lives dramatically. Amongst the enacted restrictions, all non-essential activities were prohibited as well as all outdoor activities banned. However, at the first spur of the outbreak, for about a dozen of days, physical and sports activities were permitted, while maintaining social distancing. In this timeframe, by administering measures coming from self-determination theory and theory of planned behavior and anxiety state, in an integrated approach, we investigated the prevalence of these activities by testing, via a Structural Equation Model, the influence of such psychosocial variables on the intention to preserve physical fitness during the healthcare emergency. Through an adequate fit of the hypothesized model and a multi-group analysis, we compared the most COVID-19 hit Italian region – Lombardy – to the rest of Italy, finding that anxiety was significantly higher in the Lombardy region than the rest of the country. In addition, anxiety negatively influenced the intention to do physical activity. Giving the potential deleterious effects of physical inactivity due to personal restrictions, these data may increase preparedness of public health measures and attractiveness of recommendations, including on the beneficial effects of exercise, under circumstances of social distancing to control an outbreak of a novel infectious disease.