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.

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, in the following months the country had to face four new harsh waves of contagion. As of January 1, 2025, 198,638 deaths caused by COVID-19 were reported by the authorities, of which approximately 48.7 thousand in the region of Lombardy, 20.1 thousand in the region of Emilia-Romagna, and roughly 17.6 thousand in Veneto, the regions mostly hit. The total number of cases reported in the country 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 counted about 2.9 million cases. Italy's death toll was one of the most tragic in the world. In the last months, however, the country saw the end to this terrible situation: as of November 2023, 85 percent of the total Italian population was fully vaccinated. 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.

Number of expected and observed deaths during both peak and off-peak phases of the COVID-19 epidemic in Milan.

The dataset that we provide is composed of a csv file containing the answers of responders to our questionnaire conducted to explore perceptions and feelings on the COVID-19 pandemic. The survey was conducted from June 27 to July 2 2022 among university students and adult residents of Milan, Italy, and New York City, NY, U.S.A.. The two target demographics for this study were adult residents of the two cities who were employed at the beginning of 2020 and students who attended university during 2020 or joined during the pandemic. The survey was accompanied by a promotional video and an introductory paragraph describing the objective of the study, and it was shared through social media platforms, on specialized social media groups, and on university students’ mailing lists. The total number of questions asked is a maximum of 20, variable depending on answers given by a user since we employed branching based on previous answers. This feature was particularly useful in creating questions that were specific to a subset of the sample population The topics of questions cover the following broad areas: Relationships: Multiple Choice and sorting/ranking questions designed to understand who the respondents spent lockdown with, if they managed to keep in touch with those they could not meet, and to family, friends and intimate relationships during the pandemic Policies: Likert scale questions measuring agreement with measures put in place in both Milan and New York Personal Life: questions about one’s priorities before and during the pandemic Occupation: Multiple Choice questions about one’s occupation during the pandemic and feelings towards work or university Post-pandemic: Likert scale questions about one's perception of contagion threats and feelings of normalcy at the time they responded to the survey Demographics: Multiple choice questions to describe the pool of respondents and control sample bias The types of the questions are of one of the following types: Multiple choice (one or more selections or single selection) Ranking Numeric scale (1-5 or 1-10) The “ranking” question type allowed users to sort a list of items in descending order of importance. In the dataset the column name represents the ranking given to the item, e.g. 1. highest priority.

Valutazione del gradimento e soddisfazione del servizio di Telemedicina

In March 2020, the Italian Serie A soccer league was suspended because of the coronavirus pandemic. Serie A clubs did not play any matches until June and their market values decreased. As of April 1, 2020, Juventus FC had a market value of 755.5 million euros. One month later, its value went down to roughly 614 million euros. Similarly, the market value of FC Internazionale Milano has reduced significantly throughout the COVID-19 pandemic. After almost two years of various COVID-19 containment measures, as of February 2022, the market value of Juventus FC was 566.4 million euros, and the value of Inter Milan reached 551.5 million euros.

This record contains raw data related to article “Early Predictors of Clinical Deterioration in a Cohort of 239 Patients Hospitalized for Covid-19 Infection in Lombardy, Italy"

We described features of hospitalized Covid-19 patients and identified predictors of clinical deterioration. We included patients consecutively admitted at Humanitas Research Hospital (Rozzano, Milan, Italy); retrospectively extracted demographic; clinical; laboratory and imaging findings at admission; used survival methods to identify factors associated with clinical deterioration (defined as intensive care unit (ICU) transfer or death), and developed a prognostic index. Overall; we analyzed 239 patients (29.3% females) with a mean age of 63.9 (standard deviation [SD]; 14.0) years. Clinical deterioration occurred in 70 patients (29.3%), including 41 (17.2%) ICU transfers and 36 (15.1%) deaths. The most common symptoms and signs at admission were cough (77.8%) and elevated respiratory rate (34.1%), while 66.5% of patients had at least one coexisting medical condition. Imaging frequently revealed ground-glass opacity (68.9%) and consolidation (23.8%). Age; increased respiratory rate; abnormal blood gas parameters and imaging findings; coexisting coronary heart disease; leukocytosis; lymphocytopenia; and several laboratory parameters (elevated procalcitonin; interleukin-6; serum ferritin; C-reactive protein; aspartate aminotransferase; lactate dehydrogenase; creatinine; fibrinogen; troponin-I; and D-dimer) were significant predictors of clinical deterioration. We suggested a prognostic index to assist risk-stratification (C-statistic; 0.845; 95% CI; 0.802‒0.887). These results could aid early identification and management of patients at risk, who should therefore receive additional monitoring and aggressive supportive care.

Background: Severe pneumonia is pathological manifestation of Coronavirus Disease 2019 (COVID-19), however complications have been reported in COVID-19 patients with a worst prognosis. Aim of this study was to evaluate the role of high sensitivity cardiac troponin I (hs-TnI) in patients with SARS-CoV-2 infection.

Methods: we retrospectively analysed hs-TnI values measured in 523 patients (median age 64 years, 68% men) admitted to a university hospital in Milan, Italy, and diagnosed COVID-19.

Results: A significant difference in hs-TnI concentrations was found between deceased patients (98 patients) vs discharged (425 patients) [36.05 ng/L IQR 16.5-94.9 vs 6.3 ng/L IQR 2.6-13.9, p < 0.001 respectively]. Hs-TnI measurements were independent predictors of mortality at multivariate analysis adjusted for confounding parameters such as age (HR 1.004 for each 10 point of troponin, 95% CI 1.002-1.006, p < 0.001). The survival rate, after one week, in patients with hs-TnI values under 6 ng/L was 97.94%, between 6 ng/L and the normal value was 90.87%, between the normal value and 40 ng/L was 86.98, and 59.27% over 40 ng/L.

Conclusion: Increase of hs-TnI associated with elevated mortality in patients with COVID-19. Troponin shows to be a useful biomarker of disease progression and worse prognosis in COVID-19 patients.

This dataset represents per day the percent change in population density in key places of Switzerland (Bern, Gurten Park; Bern, train station; Geneva, La Rade; Lausanne, Parc de Milan; Zurich, train station) compared to a baseline during the Covid-19 crisis from February 7th, 2020 to June 1st, 2020. The baseline is the median value of the same day of the week between January 3rd, 2020 and February 6th, 2020.Example: on Tuesday, February 11th we noticed a change of -28.53% in Gurten Park which means a decrease of population density of 28.53% compared to the median value of Tuesdays between January 3rd, 2020 and February 6th, 2020. Data protection: In order to obtain information on the travel activities, the approximate mobility of Swisscom SIM cards for a region (e.g. a canton) within a certain period of time is used. The information that is generated in the mobile network for technical reasons is automatically anonymised immediately after it is generated and is then processed in aggregated form for analysis. The data is completely anonymised and aggregated, i.e. only recognisable as a group value. This means that no conclusions can be drawn about individuals or individual movement profiles. The provisions of the Swiss Data Protection Act and the ethical principles that Swisscom follows in the use of data are complied with in full.To learn more, please visit http://swisscom.ch/mip

Characteristics and comorbid diseases of COVID-19 patients.

Receiver operating characteristic analysis of promising markers for severity of COVID-19.

Undoubtedly, coronavirus (COVID-19) outbreak had a significant impact on people's everyday life in Italy, affecting among other aspects consumers' habits and shopping behaviors. In order to measure such changes, the variation in accesses to fast food restaurants in Milan was measured between 1st of February and 4th of March 2020. According to the source, accesses plummeted starting from 23rd February, reaching a decrease of 75 percent as of 1st of March. Nevertheless, the following days registered a slight increase.

Model adjusted for age, sex, province of residence, time of screening, and ward of admittance.

Univariate and multivariate analysis of risk factors associated with COVID-19 severity.

Due to restrictions, issued to prevent the spread of the Coronavirus COVID-19 pandemic, matchday revenue could not be generated. AC Milan was able to raise 147.2 million euros from broadcasting rights sales during the 2020/21 season.

Intervention effects on loneliness.

Overview of anti-N IgG seroprevalence and SARS-CoV-2 RT-PCR positivity by screening week.

Due to the impact of the coronavirus (COVID-19) pandemic, the number of U.S. tourist arrivals in the Italian municipality of Milan declined sharply in 2020 over the previous year. While the number of U.S. tourist arrivals peaked at over 48 thousand in June 2019, this figure dropped to just 299 in June 2020. Overall, French travelers recorded the highest figure in 2020, with roughly 12.4 thousand arrivals in August 2020. However, Milan's tourist accommodations reported roughly 33.7 thousand arrivals of French travelers in the same month of 2019.

ATS (without Bollate), individuals aged 3–11, 12–19, and 20+ years old or more.