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.

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.

The COVID-19 dashboard includes data on city/town COVID-19 activity, confirmed and probable cases of COVID-19, confirmed and probable deaths related to COVID-19, and the demographic characteristics of cases and deaths.

COVID cases and deaths for LA County and California State. Updated daily.

Data source: Johns Hopkins University (https://coronavirus.jhu.edu/us-map), Johns Hopkins GitHub (https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_US.csv). Code available: https://github.com/CityOfLosAngeles/covid19-indicators.

This public use dataset has 11 data elements reflecting United States COVID-19 community levels for all available counties. This dataset contains the same values used to display information available on the COVID Data Tracker at: https://covid.cdc.gov/covid-data-tracker/#county-view?list_select_state=all_states&list_select_county=all_counties&data-type=CommunityLevels The data are updated weekly.

CDC looks at the combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days — to determine the COVID-19 community level. The COVID-19 community level is determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge. Using these data, the COVID-19 community level is classified as low, medium, or high. COVID-19 Community Levels can help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals.

See https://www.cdc.gov/coronavirus/2019-ncov/science/community-levels.html for more information.

For the most accurate and up-to-date data for any county or state, visit the relevant health department website. COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.

For more details on the Minnesota Department of Health COVID-19 thresholds, see COVID-19 Public Health Risk Measures: Data Notes (Updated 4/13/22). https://mn.gov/covid19/assets/phri_tcm1148-434773.pdf

Note: This dataset was renamed from "United States COVID-19 Community Levels by County as Originally Posted" to "United States COVID-19 Community Levels by County" on March 31, 2022. March 31, 2022: Column name for county population was changed to “county_population”. No change was made to the data points previous released. March 31, 2022: New column, “health_service_area_population”, was added to the dataset to denote the total population in the designated Health Service Area based on 2019 Census estimate. March 31, 2022: FIPS codes for territories American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands were re-formatted to 5-digit numeric for records released on 3/3/2022 to be consistent with other records in the dataset. March 31, 2022: Changes were made to the text fields in variables “county”, “state”, and “health_service_area” so the formats are consistent across releases. March 31, 2022: The “%” sign was removed from the text field in column “covid_inpatient_bed_utilization”. No change was made to the data. As indicated in the column description, values in this column represent the percentage of staffed inpatient beds occupied by COVID-19 patients (7-day average). March 31, 2022: Data values for columns, “county_population”, “health_service_area_number”, and “health_service_area” were backfilled for records released on 2/24/2022. These columns were added since the week of 3/3/2022, thus the values were previously missing for records released the week prior. April 7, 2022: Updates made to data released on 3/24/2022 for Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands to correct a data mapping error.

The following dashboards provide data on contagious respiratory viruses, including acute respiratory diseases, COVID-19, influenza (flu), and respiratory syncytial virus (RSV) in Massachusetts. The data presented here can help track trends in respiratory disease and vaccination activity across Massachusetts.

According to Cognitive Market Research, the global Automotive Navigation Maps market size is USD 36514.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.00% from 2024 to 2031. North America held the major market share for more than 40% of the global revenue with a market size of USD 14605.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.2% from 2024 to 2031. Europe accounted for a market share of over 30% of the global revenue with a market size of USD 10954.26 million. Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 8398.27 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.0% from 2024 to 2031. Latin America had a market share for more than 5% of the global revenue with a market size of USD 1825.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.4% from 2024 to 2031. Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 730.28 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.7% from 2024 to 2031. The Hardware held the highest Automotive Navigation Maps market revenue share in 2024. Market Dynamics of Automotive Navigation Maps Market Key Drivers for Automotive Navigation Maps Market Increasing demand for connected cars to Increase the Demand Globally The upward push in demand for linked vehicles stems from customers' choice for capabilities like real-time site visitor updates, weather reviews, and different connected offerings. This surge is propelled with the aid of the sizeable adoption of smartphones and the accessibility of value-powerful data plans. As individuals are seeking seamless integration between their digital life and their automobiles, producers are prioritizing connectivity features to fulfill this demand. From navigation systems to in-vehicle amusement, the evolution of connected cars displays a shift in the direction of enhanced comfort and capability, shaping the destiny of automobile technology. Rising urbanization and traffic congestion to Propel Market Growth As urbanization intensifies, site visitor congestion emerges as an enormous urban venture. Navigating via crowded towns turns into more and more onerous, prompting a need for solutions to alleviate gridlock. Navigation systems provide an essential tool for drivers, empowering them to bypass site visitors' snarls and discover ideal routes. By leveraging actual-time facts and advanced algorithms, these systems provide dynamic route adjustments, enabling drivers to navigate correctly via bustling city streets. As cities grapple with the effects of urbanization on transportation infrastructure, the mixing of navigation systems into cars emerges as a crucial approach to mitigate congestion and enhance mobility in urban environments, fostering smoother commutes and lowering travel time for motorists. Restraint Factor for the Automotive Navigation Maps Market High cost of in-dash navigation systems to Limit the Sales The excessive value of in-dash navigation systems affords a barrier for lots of customers thinking about their purchase. While these systems provide precious functions, which include real-time navigation and traffic updates, their top-rate fee tags can deter capability buyers. For finances-conscious clients, the expense of in-sprint navigation might also outweigh its perceived benefits, leading them to choose alternative navigation solutions like cellphone apps or standalone GPS devices. Additionally, the speedy development of telephone technology has made navigation apps extra available and function-rich, similarly hard to the cost proposition of in-dash structures. As automakers attempt to stabilize cost and functionality, addressing the affordability of in-sprint navigation systems remains important to expanding their adoption among a broader demographic of consumers. Impact of Covid-19 on the Automotive Navigation Maps Market The COVID-19 pandemic has considerably impacted the automobile navigation maps marketplace. With restrictions on tour and mobility, the call for navigation structures plummeted initially as fewer people commuted or embarked on lengthy journeys. Automotive producers confronted disruptions in manufacturing and supply chains, delaying the integration of navigation structures into new automobiles. However, as restrictions eased and far-flung paintings normalized, th...

This dataset is based on the "Dataset of confirmed cases by date, age, sex and province" published by Sciensano beginning on March 31st, 2020.We added geographical points to display data on a map, based on the province names.