Since the spread of the coronavirus (COVID-19) in Italy, started in February 2020, many people who contracted the infection died. The number of deaths amounted to 198,683 as of January 8, 2025. On December 3, 2020, 993 patients died, the highest daily toll since the start of the pandemic. The region with the highest number of deaths was Lombardy, which is also the region that registered the highest number of coronavirus 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, roughly 85 percent of the total Italian population was fully vaccinated. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

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.

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.

The spread of coronavirus (COVID-19) in Italy has hit every age group uniformly and claimed over 190 thousand lives since it entered the country. As the chart shows, however, mortality rate appeared to be much higher for the elderly patient. In fact, for people between 80 and 89 years of age, the fatality rate was 6.1 percent. For patients older than 90 years, this figure increased to 12.1 percent. On the other hand, the death rate for individuals under 60 years of age was well below 0.5 percent. Overall, the mortality rate of coronavirus in Italy was 0.7 percent.

Italy's death toll was one of the most tragic in the world. In the last months, however, the country started to see the end of this terrible situation: as of May 2023, roughly 84.7 percent of the total Italian population was fully vaccinated.

Since the first case was detected at the end of January in Italy, coronavirus has been spreading fast. As of May, 2023, the authorities reported over 25.8 million cases in the country. The area mostly hit by the virus is the North, in particular the region of Lombardy.

For a global overview visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

After entering Italy, coronavirus (COVID-19) has been spreading fast. An analysis of the individuals who died after contracting the virus revealed that the vast majority of deaths occurred among the elderly. As of May, 2023, roughly 85 percent were patients aged 70 years and older.

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 May 2023, roughly 84.7 percent of the total Italian population was fully vaccinated.

As of May, 2023, the total number of cases reported in the country were over 25.8 million. The North of the country was the mostly hit area, and the region with the highest number of cases was Lombardy.

For a global overview visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

After the outbreak of the coronavirus (COVID-19) in Italy, many people died after contracting the infection. As of May 2023, the mortality rate for female patients in Italy was 0.6 percent, the corresponding figure for male patients was 0.9 percent. The chart shows how this gap was recorded among all age groups.

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 May 2023, roughly 84.7 percent of the total Italian population was fully vaccinated.

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

The spread of coronavirus (COVID-19) in Italy has not hit uniformly people of every age, as about 60 percent of the individuals infected with the virus were under 50 years old. However, deaths occurred mostly among the elderly. The virus has claimed approximately 190 thousand lives, but, as the chart shows, roughly 85 percent of the victims were older people, aged 70 years or more. People between 80 and 89 years were the most affected, with roughly 76 thousand deaths within this age group.

Number of total cases Since the first case was detected, coronavirus has spread quickly across Italy. As of April 2023, authorities have reported over 25.8 million cases in the country. This figure includes the deceased, the recovered, and current active cases. COVID recoveries represent the vast majority, reaching approximately 25.5 million.

Regional differences In terms of COVID cases, Lombardy has been the hardest hit region, followed by the regions of Campania, and Veneto. Likewise, in terms of deaths, Lombardy was the region with the highest number, with roughly 46 thousand losses. On the other hand, this is also the region with the highest number of COVID-19 vaccine administered doses, with a figure of approximately 25.5 million.

For a global overview visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

In 2024, the Italian region with the highest death rate was Liguria. By contrast, Trentino-South Tyrol was the area where the lowest death rate was registered in the whole country. In the period between 2010 and 2019, the annual death rate in Italy remained rather stable. In 2020, instead, the death rate increased compared to previous years. Coronavirus deaths In Italy, the first cases of coronavirus (COVID-19) were registered at the end of January 2020. Then, since the end of February, the virus started to spread among the Italian population. As of October 2021, Italy recorded 4.7 million cases of coronavirus (COVID-19) and over 130,000 deaths. Death rates in other European countries In 2019, Italy was the European country which registered the second-highest number of deaths. The state with the highest number of deceased was Germany, which is also the most populous country on the continent. On the contrary, Italy ranked only fourth, considering the size of the population.

We calculate excess mortality, i.e., attributable to Covid-19, across all (7,272) Italian municipalities using death registry data (see References) by deducting from a municipality's (daily) number of deaths the average number of deaths over the previous five years in the same municipality, using an evenly-spaced-around window of seven days. The date ("GE" column) is in "mmdd" format, while the municipality code ("codice_comune" column) follows standard ISTAT codes. The sample period runs from February to April 2020, and excludes municipalities that were never hit by the Covid-19 disease within the first four months of 2020, i.e. cumulative mortality rate among residents of a municipality did not reach a threshold of 100 deaths per 100,000 inhabitants.

Italy Coronavirus Cases by Age group and Sex (ICCAS)

This repository contains datasets about the number of Italian Sars-CoV-2 confirmed cases and deaths disaggregated by age group and sex. The data is (automatically) extracted from pdf reports (like this) published by Istituto Superiore di Sanità (ISS) two times a week. A link to the most recent report can be found in this page under section "Documento esteso".

PDF reports are usually published on Tuesday and Friday and contains data updated to the 4 p.m. of the day day before their release.

I wrote a script that is runned periodically in order to automatically update this repository when a new report is published. The code is hosted in a separate repository.

For feedback and issues refers to the GitHub repository.

Data folder structure

The data folder is structured as follows: data ├── by-date │ └── iccas_{date}.csv Dataset with cases/deaths updated to 4 p.m. of {date} └── iccas_full.csv Dataset with data from all reports (by date) The full dataset is obtained by concatenating all datasets in by-date and has an additional date column. If you use pandas, I suggest you to read this dataset using a multi-index on the first two columns: python import pandas as pd df = pd.read_csv('iccas_full.csv', index_col=(0, 1)) # ('date', 'age_group')

NOTE: {date} is the date the data refers to, NOT the release date of the report it was extracted from: as written above, a report is usually released with a day of delay. For example, iccas_2020-03-19.csv contains data relative to 2020-03-19 which was extracted from the report published in 2020-03-20.

Dataset details

Each dataset in the by-date folder contains the same data you can find in "Table 1" of the corresponding ISS report. This table contains the number of confirmed cases, deaths and other derived information disaggregated by age group (0-9, 10-19, ..., 80-89, >=90) and sex.

WARNING: the sum of male and female cases is not equal to the total number of cases, since the sex of some cases is unknown. The same applies to deaths.

Below, {sex} can be male or female.

All columns that can be computed from absolute counts of cases and deaths (bottom half of the table above) were all re-computed to increase precision.

Objectives: To describe the monthly distribution of COVID-19 hospitalisations, deaths and case-fatality rates (CFR) in Lombardy (Italy) throughout 2020.Methods: We analysed de-identified hospitalisation data comprising all COVID-19-related admissions from 1 February 2020 to 31 December 2020. The overall survival (OS) from time of first hospitalisation was estimated using the Kaplan-Meier method. We estimated monthly CFRs and performed Cox regression models to measure the effects of potential predictors on OS.Results: Hospitalisation and death peaks occurred in March and November 2020. Patients aged ≥70 years had an up to 180 times higher risk of dying compared to younger patients [70–80: HR 58.10 (39.14–86.22); 80–90: 106.68 (71.01–160.27); ≥90: 180.96 (118.80–275.64)]. Risk of death was higher in patients with one or more comorbidities [1: HR 1.27 (95% CI 1.20–1.35); 2: 1.44 (1.33–1.55); ≥3: 1.73 (1.58–1.90)] and in those with specific conditions (hypertension, diabetes).Conclusion: Our data sheds light on the Italian pandemic scenario, uncovering mechanisms and gaps at regional health system level and, on a larger scale, adding to the body of knowledge needed to inform effective health service planning, delivery, and preparedness in times of crisis.

WHO: COVID-2019: Number of Patients: Death: New: Italy data was reported at 0.000 Person in 24 Dec 2023. This stayed constant from the previous number of 0.000 Person for 23 Dec 2023. WHO: COVID-2019: Number of Patients: Death: New: Italy data is updated daily, averaging 60.000 Person from Jan 2020 (Median) to 24 Dec 2023, with 1426 observations. The data reached an all-time high of 993.000 Person in 04 Dec 2020 and a record low of 0.000 Person in 24 Dec 2023. WHO: COVID-2019: Number of Patients: Death: New: Italy data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Health Organization: Coronavirus Disease 2019 (COVID-2019): by Country and Region (Discontinued). Negative data reflects the number of retrospective adjustments made by national authorities due to reconciliation exercises, and consequently deducted to the corresponding “To-Date” series.

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.

After entering Italy between the end of January and the beginning of February 2020, the coronavirus (COVID-19) has spread throughout the whole country. Many people died after contracting the infection. As of May 2023, the mortality rate for female patients was 0.6 percent, while the corresponding figure for male patients was 0.9 percent in Italy.

In the last months, however, the country saw the end to this terrible situation: as of May 2023, roughly 84.7 percent of the total Italian population was fully vaccinated.

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.

COVID-19 dramatically influenced mortality worldwide, in Italy as well, the first European country to experience the Sars-Cov2 epidemic. Many countries reported a two-wave pattern of COVID-19 deaths; however, studies comparing the two waves are limited. The objective of the study was to compare all-cause excess mortality between the two waves that occurred during the year 2020 using nationwide data. All-cause excess mortalities were estimated using negative binomial models with time modeled by quadratic splines. The models were also applied to estimate all-cause excess deaths “not directly attributable to COVD-19”, i.e., without a previous COVID-19 diagnosis. During the first wave (25th February−31st May), we estimated 52,437 excess deaths (95% CI: 49,213–55,863) and 50,979 (95% CI: 50,333–51,425) during the second phase (10th October−31st December), corresponding to percentage 34.8% (95% CI: 33.8%–35.8%) in the second wave and 31.0% (95%CI: 27.2%–35.4%) in the first. During both waves, all-cause excess deaths percentages were higher in northern regions (59.1% during the first and 42.2% in the second wave), with a significant increase in the rest of Italy (from 6.7% to 27.1%) during the second wave. Males and those aged 80 or over were the most hit groups with an increase in both during the second wave. Excess deaths not directly attributable to COVID-19 decreased during the second phase with respect to the first phase, from 10.8% (95% CI: 9.5%–12.4%) to 7.7% (95% CI: 7.5%–7.9%), respectively. The percentage increase in excess deaths from all causes suggests in Italy a different impact of the SARS-CoV-2 virus during the second wave in 2020. The decrease in excess deaths not directly attributable to COVID-19 may indicate an improvement in the preparedness of the Italian health care services during this second wave, in the detection of COVID-19 diagnoses and/or clinical practice toward the other severe diseases.

Coronavirus caused many deaths in Italy, leading to one of the highest death rates worldwide. When comparing the number of deaths occurred between March 1 and April 4, 2020 with the average number of deaths during the same period of the years 2015 to 2019, it can be seen that the former was significantly higher. In fact, a total of approximately 79 thousand individuals died between March 1 and April 4 2020, while it amounted to roughly 58 thousand during the same period of the years 2015 to 2019. For a global overview visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

Background: Italy has one of the world's oldest populations, and suffered one the highest death tolls from Coronavirus disease 2019 (COVID-19) worldwide. Older people with cardiovascular diseases (CVDs), and in particular hypertension, are at higher risk of hospitalization and death for COVID-19. Whether hypertension medications may increase the risk for death in older COVID 19 inpatients at the highest risk for the disease is currently unknown.Methods: Data from 5,625 COVID-19 inpatients were manually extracted from medical charts from 61 hospitals across Italy. From the initial 5,625 patients, 3,179 were included in the study as they were either discharged or deceased at the time of the data analysis. Primary outcome was inpatient death or recovery. Mixed effects logistic regression models were adjusted for sex, age, and number of comorbidities, with a random effect for site.Results: A large proportion of participating inpatients were ≥65 years old (58%), male (68%), non-smokers (93%) with comorbidities (66%). Each additional comorbidity increased the risk of death by 35% [adjOR = 1.35 (1.2, 1.5) p < 0.001]. Use of ACE inhibitors, ARBs, beta-blockers or Ca-antagonists was not associated with significantly increased risk of death. There was a marginal negative association between ARB use and death, and a marginal positive association between diuretic use and death.Conclusions: This Italian nationwide observational study of COVID-19 inpatients, the majority of which ≥65 years old, indicates that there is a linear direct relationship between the number of comorbidities and the risk of death. Among CVDs, hypertension and pre-existing cardiomyopathy were significantly associated with risk of death. The use of hypertension medications reported to be safe in younger cohorts, do not contribute significantly to increased COVID-19 related deaths in an older population that suffered one of the highest death tolls worldwide.

BackgroundThe novel coronavirus disease 2019 (COVID-19) is an ongoing pandemic that was first recognized in China in December 2019. This paper aims to provide a detailed overview of the first 2 years of the pandemic in Italy.Design and methodsUsing the negative binomial distribution, the daily incidence of infections was estimated through the virus's lethality and the moving-averaged deaths. The lethality of the original strain (estimated through national sero-surveys) was adjusted daily for age of infections, hazard ratios of virus variants, and the cumulative distribution of vaccinated individuals.ResultsFrom February 24, 2020, to February 28, 2022, there were 20,833,018 (20,728,924–20,937,375) cases distributed over five waves. The overall lethality rate was 0.73%, but daily it ranged from 2.78% (in the first wave) to 0.15% (in the last wave). The first two waves had the highest number of daily deaths (about 710) and the last wave showed the highest peak of daily infections (220,487). Restriction measures of population mobility strongly slowed the viral spread. During the 2nd year of the pandemic, vaccines prevented 10,000,000 infections and 115,000 deaths.ConclusionAlmost 40% of COVID-19 infections have gone undetected and they were mostly concentrated in the first year of the pandemic. From the second year, a massive test campaign made it possible to detect more asymptomatic cases, especially among the youngest. Mobility restriction measures were an effective suppression strategy while distance learning and smart working were effective mitigation strategies. Despite the variants of concern, vaccines strongly reduced the pandemic impact on the healthcare system avoiding strong restriction measures.

Abstract

COVID-19 integrated surveillance data provided by the Italian National Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly simple moving averages.

Overview

Every week the National Institute for Nuclear Physics (INFN) imports an anonymous individual-level dataset from the Italian National Institute of Health (ISS) and converts it into an incidence time series data organized by date of event and disaggregated by sex, age and administrative level with a consolidation period of approximately two weeks. The information available to the INFN is summarised in the following meta-table.

Output Data

The output data has been stored here and contain the following information:

Reconstructed daily time series of confirmed cases by date of diagnosis stratified by sex and age at the regional level;

Reconstructed daily time series of symptomatic cases by date of symptoms onset stratified by sex and age at the regional level;

Reconstructed daily time series of ordinary hospital admissions by date of admission stratified by sex and age at the regional level;

Reconstructed daily time series of intensive hospital admissions by date of admission stratified by sex and age at the regional level;

Reconstructed daily time series of deceased cases by date of death stratified by sex and age at the regional level.