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.

This dataset represents preliminary estimates of cumulative U.S. COVID-19 disease burden for the 2024-2025 period, including illnesses, outpatient visits, hospitalizations, and deaths. The weekly COVID-19-associated burden estimates are preliminary and based on continuously collected surveillance data from patients hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. The data come from the Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET), a surveillance platform that captures data from hospitals that serve about 10% of the U.S. population. Each week CDC estimates a range (i.e., lower estimate and an upper estimate) of COVID-19 -associated burden that have occurred since October 1, 2024.

Note: Data are preliminary and subject to change as more data become available. Rates for recent COVID-19-associated hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly.

References

1. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. https://doi.org/10.1371/journal.pone.0118369 
2. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. https://doi.org/10.1111/irv.12486
3. Tokars JI, Rolfes MA, Foppa IM, Reed C. An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 
4. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540.
5. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm 
6. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 2009, United States, April–July 2009. Emerg Infect Dis. 2009;15(12):2004-2007. https://dx.doi.org/10.3201/eid1512.091413  
7. Devine O, Pham H, Gunnels B, et al. Extrapolating Sentinel Surveillance Information to Estimate National COVID-19 Hospital Admission Rates: A Bayesian Modeling Approach. Influenza and Other Respiratory Viruses. https://onlinelibrary.wiley.com/doi/10.1111/irv.70026. Volume18, Issue10. October 2024.
8. https://www.cdc.gov/covid/php/covid-net/index.html">COVID-NET | COVID-19 | CDC 
9. https://www.cdc.gov/covid/hcp/clinical-care/systematic-review-process.html 
10. https://academic.oup.com/pnasnexus/article/1/3/pgac079/6604394?login=false">Excess natural-cause deaths in California by cause and setting: March 2020 through February 2021 | PNAS Nexus | Oxford Academic (oup.com)
11. Kruschke, J. K. 2011. Doing Bayesian data analysis: a tutorial with R and BUGS. Elsevier, Amsterdam, Section 3.3.5.

Since the spread of the coronavirus (COVID-19) in Italy started in February 2020, the number of cases has increased daily. However, the vast majority of people who contracted the virus have recovered. As of January 8, 2025, the number of individuals who recovered from coronavirus in Italy reached over 26.5 million. Conversely, the number of deaths also kept increasing, reaching over 198.6 thousand. When looking at the regional level, the region with the highest number of recoveries was Lombardy. The region, however, registered the highest number of coronavirus cases in the country. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

This dataset provides values for CORONAVIRUS CASES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

MDS: COVID-19: Confirmed Cases: To Date: North: Rondônia data was reported at 505,111.000 Person in 15 Feb 2025. This stayed constant from the previous number of 505,111.000 Person for 14 Feb 2025. MDS: COVID-19: Confirmed Cases: To Date: North: Rondônia data is updated daily, averaging 453,228.000 Person from Feb 2020 (Median) to 15 Feb 2025, with 1818 observations. The data reached an all-time high of 505,111.000 Person in 15 Feb 2025 and a record low of 0.000 Person in 19 Mar 2020. MDS: COVID-19: Confirmed Cases: To Date: North: Rondônia data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table BR.HLA001: Disease Outbreaks: COVID-19: Confirmed Cases. Current day data is released daily between 6PM and 7PM Brazil Time. Weekend data are updated following Monday morning, Hong Kong Time.

Note: Starting April 27, 2023 updates change from daily to weekly. Summary The cumulative number of positive COVID-19 cases among Maryland residents within a single Maryland jurisdiction. Description The MD COVID-19 - Cases by County data layer is a collection of positive COVID-19 test results that have been reported each day by the local health department via the ESSENCE system. Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

MDS: COVID-19: Confirmed Cases: To Date: North: Acre data was reported at 174,381.000 Person in 15 Feb 2025. This stayed constant from the previous number of 174,381.000 Person for 14 Feb 2025. MDS: COVID-19: Confirmed Cases: To Date: North: Acre data is updated daily, averaging 148,438.000 Person from Feb 2020 (Median) to 15 Feb 2025, with 1818 observations. The data reached an all-time high of 174,381.000 Person in 15 Feb 2025 and a record low of 0.000 Person in 18 Mar 2020. MDS: COVID-19: Confirmed Cases: To Date: North: Acre data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table BR.HLA001: Disease Outbreaks: COVID-19: Confirmed Cases. Current day data is released daily between 6PM and 7PM Brazil Time. Weekend data are updated following Monday morning, Hong Kong Time.

MDS: COVID-19: Confirmed Cases: To Date: South: Santa Catarina data was reported at 2,098,320.000 Person in 15 Feb 2025. This records an increase from the previous number of 2,097,992.000 Person for 14 Feb 2025. MDS: COVID-19: Confirmed Cases: To Date: South: Santa Catarina data is updated daily, averaging 1,856,833.000 Person from Feb 2020 (Median) to 15 Feb 2025, with 1818 observations. The data reached an all-time high of 2,098,320.000 Person in 15 Feb 2025 and a record low of 0.000 Person in 12 Mar 2020. MDS: COVID-19: Confirmed Cases: To Date: South: Santa Catarina data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table BR.HLA001: Disease Outbreaks: COVID-19: Confirmed Cases. Current day data is released daily between 6PM and 7PM Brazil Time. Weekend data are updated following Monday morning, Hong Kong Time.

As of January 13, 2023, there have been 270,744,353 confirmed cases of coronavirus (COVID-19) across the whole of Europe since the first confirmed cases in January 2020. There were approximately 12.1 million new cases reported in the week beginning January 24, 2022, the highest number of daily cases in a single week. There was a significant increase in the number of new cases in Europe in winter 2021/22 as the Omicron variant emerged. France has had the highest amount of confirmed cases in Europe with 38,337,350, followed by Germany with 37,594,526 cases. A full breakdown of the confirmed cases in Europe can be found here.

For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

There were 12,005 deaths registered in England and Wales for the week ending March 7, 2025, compared with 11,907 in the previous week. During this time period, the two weeks with the highest number of weekly deaths were in April 2020, with the week ending April 17, 2020, having 22,351 deaths, and the following week 21,997 deaths, a direct result of the COVID-19 pandemic in the UK. Death and life expectancy As of 2022, the life expectancy for women in the UK was just over 82.5 years, and almost 78.6 years for men. Compared with 1765, when average life expectancy was under 39 years, this is a huge improvement in historical terms. Even in the more recent past, life expectancy was less than 47 years at the start of the 20th Century, and was under 70 as recently as the 1950s. Despite these significant developments in the long-term, improvements in life expectancy stalled between 2009/11 and 2015/17, and have even gone in decline since 2020. Between 2020 and 2022, for example, life expectancy at birth fell by 23 weeks for females, and 37 weeks for males.2. COVID-19 in the UK The first cases of COVID-19 in the United Kingdom were recorded on January 31, 2020, but it was not until a month later that cases began to rise exponentially. By March 5 of this year there were more than 100 cases, rising to 1,000 days later and passing 10,000 cumulative cases by March 26. At the height of the pandemic in late April and early May, there were around six thousand new cases being recorded daily. As of January 2023, there were more than 24.2 million confirmed cumulative cases of COVID-19 recorded in the United Kingdom, resulting in 202,156 deaths.

MDS: COVID-19: Confirmed Cases: To Date: Southeast: Minas Gerais data was reported at 4,361,817.000 Person in 15 Feb 2025. This records an increase from the previous number of 4,358,878.000 Person for 14 Feb 2025. MDS: COVID-19: Confirmed Cases: To Date: Southeast: Minas Gerais data is updated daily, averaging 3,862,473.000 Person from Feb 2020 (Median) to 15 Feb 2025, with 1818 observations. The data reached an all-time high of 4,361,817.000 Person in 15 Feb 2025 and a record low of 0.000 Person in 07 Mar 2020. MDS: COVID-19: Confirmed Cases: To Date: Southeast: Minas Gerais data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table BR.HLA001: Disease Outbreaks: COVID-19: Confirmed Cases. Current day data is released daily between 6PM and 7PM Brazil Time. Weekend data are updated following Monday morning, Hong Kong Time.

Brazil MDS: COVID-19: Confirmed Cases: To Date data was reported at 39,181,954.000 Person in 15 Feb 2025. This records an increase from the previous number of 39,168,245.000 Person for 14 Feb 2025. Brazil MDS: COVID-19: Confirmed Cases: To Date data is updated daily, averaging 34,287,973.000 Person from Feb 2020 (Median) to 15 Feb 2025, with 1818 observations. The data reached an all-time high of 39,181,954.000 Person in 15 Feb 2025 and a record low of 0.000 Person in 25 Feb 2020. Brazil MDS: COVID-19: Confirmed Cases: To Date data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table BR.HLA001: Disease Outbreaks: COVID-19: Confirmed Cases. Current day data is released daily between 6PM and 7PM Brazil Time. Weekend data are updated following Monday morning, Hong Kong Time.

MDS: COVID-19: Confirmed Cases: To Date: North: Tocantins data was reported at 382,778.000 Person in 15 Feb 2025. This stayed constant from the previous number of 382,778.000 Person for 14 Feb 2025. MDS: COVID-19: Confirmed Cases: To Date: North: Tocantins data is updated daily, averaging 342,831.000 Person from Feb 2020 (Median) to 15 Feb 2025, with 1818 observations. The data reached an all-time high of 382,778.000 Person in 15 Feb 2025 and a record low of 0.000 Person in 18 Mar 2020. MDS: COVID-19: Confirmed Cases: To Date: North: Tocantins data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table BR.HLA001: Disease Outbreaks: COVID-19: Confirmed Cases. Current day data is released daily between 6PM and 7PM Brazil Time. Weekend data are updated following Monday morning, Hong Kong Time.

This dataset reports the daily reported number of the 7-day moving average rates of Deaths involving COVID-19 by vaccination status and by age group. Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak. Effective November 14, 2024 this page will no longer be updated. Information about COVID-19 and other respiratory viruses is available on Public Health Ontario’s interactive respiratory virus tool: https://www.publichealthontario.ca/en/Data-and-Analysis/Infectious-Disease/Respiratory-Virus-Tool Data includes: * Date on which the death occurred * Age group * 7-day moving average of the last seven days of the death rate per 100,000 for those not fully vaccinated * 7-day moving average of the last seven days of the death rate per 100,000 for those fully vaccinated * 7-day moving average of the last seven days of the death rate per 100,000 for those vaccinated with at least one booster ##Additional notes As of June 16, all COVID-19 datasets will be updated weekly on Thursdays by 2pm. As of January 12, 2024, data from the date of January 1, 2024 onwards reflect updated population estimates. This update specifically impacts data for the 'not fully vaccinated' category. On November 30, 2023 the count of COVID-19 deaths was updated to include missing historical deaths from January 15, 2020 to March 31, 2023. CCM is a dynamic disease reporting system which allows ongoing update to data previously entered. As a result, data extracted from CCM represents a snapshot at the time of extraction and may differ from previous or subsequent results. Public Health Units continually clean up COVID-19 data, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes and current totals being different from previously reported cases and deaths. Observed trends over time should be interpreted with caution for the most recent period due to reporting and/or data entry lags. The data does not include vaccination data for people who did not provide consent for vaccination records to be entered into the provincial COVaxON system. This includes individual records as well as records from some Indigenous communities where those communities have not consented to including vaccination information in COVaxON. “Not fully vaccinated” category includes people with no vaccine and one dose of double-dose vaccine. “People with one dose of double-dose vaccine” category has a small and constantly changing number. The combination will stabilize the results. Spikes, negative numbers and other data anomalies: Due to ongoing data entry and data quality assurance activities in Case and Contact Management system (CCM) file, Public Health Units continually clean up COVID-19, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes, negative numbers and current totals being different from previously reported case and death counts. Public Health Units report cause of death in the CCM based on information available to them at the time of reporting and in accordance with definitions provided by Public Health Ontario. The medical certificate of death is the official record and the cause of death could be different. Deaths are defined per the outcome field in CCM marked as “Fatal”. Deaths in COVID-19 cases identified as unrelated to COVID-19 are not included in the Deaths involving COVID-19 reported. Rates for the most recent days are subject to reporting lags All data reflects totals from 8 p.m. the previous day. This dataset is subject to change.

This dataset represents preliminary weekly estimates of cumulative U.S. COVID-19-associated hospitalizations for the 2024-2025 period. The weekly cumulatve COVID-19 –associated hospitalization estimates are preliminary, and use reported weekly hospitalizations among laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. The data are updated week-by-week as new COVID-19 hospitalizations are reported to CDC from the COVID-NET system and include both new admissions that occurred during the reporting week, as well as those admitted in previous weeks that may not have been included in earlier reporting. Each week CDC estimates a range (i.e., lower estimate and an upper estimate) of COVID-19 -associated hospitalizations that have occurred since October 1, 2024. For details, please refer to the publication [7].

Note: Data are preliminary and subject to change as more data become available. Rates for recent COVID-19-associated hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly.

References

1. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. https://doi.org/10.1371/journal.pone.0118369 
2. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. https://doi.org/10.1111/irv.12486
3. Tokars JI, Rolfes MA, Foppa IM, Reed C. An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 
4. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540.
5. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm 
6. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 2009, United States, April–July 2009. Emerg Infect Dis. 2009;15(12):2004-2007. https://dx.doi.org/10.3201/eid1512.091413  
7. Devine O, Pham H, Gunnels B, et al. Extrapolating Sentinel Surveillance Information to Estimate National COVID-19 Hospital Admission Rates: A Bayesian Modeling Approach. Influenza and Other Respiratory Viruses. https://onlinelibrary.wiley.com/doi/10.1111/irv.70026. Volume18, Issue10. October 2024.
8. https://www.cdc.gov/covid/php/covid-net/index.html">COVID-NET | COVID-19 | CDC 
9. https://www.cdc.gov/covid/hcp/clinical-care/systematic-review-process.html 
10. https://academic.oup.com/pnasnexus/article/1/3/pgac079/6604394?login=false">Excess natural-cause deaths in California by cause and setting: March 2020 through February 2021 | PNAS Nexus | Oxford Academic (oup.com)
11. Kruschke, J. K. 2011. Doing Bayesian data analysis: a tutorial with R and BUGS. Elsevier, Amsterdam, Section 3.3.5.

A. SUMMARY This dataset represents San Francisco COVID-19 related deaths by day. This data may not be immediately available for recently reported deaths. Data updates as more information becomes available. Because of this, death totals for previous days may increase or decrease. More recent data is less reliable.

B. HOW THE DATASET IS CREATED As of January 1, 2023, COVID-19 deaths are defined as persons who had COVID-19 listed as a cause of death or a significant condition contributing to their death on their death certificate. This definition is in alignment with the California Department of Public Health and the national https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf">Council of State and Territorial Epidemiologists. Death data is provided by the California Department of Public Health.

It takes time to process this data. Because of this, death totals may increase or decrease over time.

Data are continually updated to maximize completeness of information and reporting on San Francisco COVID-19 deaths.

C. UPDATE PROCESS Updates automatically at 06:30 and 07:30 AM Pacific Time on Wednesday each week.

Dataset will not update on the business day following any federal holiday.

D. HOW TO USE THIS DATASET This dataset shows new deaths and cumulative deaths by date of death. New deaths are the count of deaths on that specific date. Cumulative deaths are the running total of all San Francisco COVID-19 deaths up to the date listed.

Use the Deaths by Population Characteristics Over Time dataset to see deaths by different subgroups including race/ethnicity, age, and gender.

E. CHANGE LOG

• 9/11/2023 – on this date, we began using an updated definition of a COVID-19 death to align with the California Department of Public Health. This change was applied to COVID-19 deaths retrospectively beginning on 1/1/2023. More information about the recommendation by the Council of State and Territorial Epidemiologists that motivated this change can be found https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf">here.
• 4/6/2023 - the State implemented system updates to improve the integrity of historical data.
• 1/22/2022 - system updates to improve timeliness and accuracy of cases and deaths data were implemented.

MDS: COVID-19: Confirmed Cases: To Date: Northeast data was reported at 7,626,996.000 Person in 15 Mar 2025. This records an increase from the previous number of 7,626,009.000 Person for 14 Mar 2025. MDS: COVID-19: Confirmed Cases: To Date: Northeast data is updated daily, averaging 6,854,921.500 Person from Feb 2020 (Median) to 15 Mar 2025, with 1846 observations. The data reached an all-time high of 7,626,996.000 Person in 15 Mar 2025 and a record low of 0.000 Person in 05 Mar 2020. MDS: COVID-19: Confirmed Cases: To Date: Northeast data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table BR.HLA001: Disease Outbreaks: COVID-19: Confirmed Cases. Current day data is released daily between 6PM and 7PM Brazil Time. Weekend data are updated following Monday morning, Hong Kong Time.

MDS: COVID-19: Confirmed Cases: To Date: Southeast: São Paulo data was reported at 6,925,285.000 Person in 07 Feb 2025. This stayed constant from the previous number of 6,925,285.000 Person for 06 Feb 2025. MDS: COVID-19: Confirmed Cases: To Date: Southeast: São Paulo data is updated daily, averaging 5,986,907.500 Person from Feb 2020 (Median) to 07 Feb 2025, with 1810 observations. The data reached an all-time high of 6,925,285.000 Person in 07 Feb 2025 and a record low of 0.000 Person in 25 Feb 2020. MDS: COVID-19: Confirmed Cases: To Date: Southeast: São Paulo data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table BR.HLA001: Disease Outbreaks: COVID-19: Confirmed Cases. Current day data is released daily between 6PM and 7PM Brazil Time. Weekend data are updated following Monday morning, Hong Kong Time.

MDS: COVID-19: Confirmed Cases: To Date: Northeast: Bahia data was reported at 1,849,459.000 Person in 15 Feb 2025. This records an increase from the previous number of 1,849,061.000 Person for 14 Feb 2025. MDS: COVID-19: Confirmed Cases: To Date: Northeast: Bahia data is updated daily, averaging 1,680,587.000 Person from Feb 2020 (Median) to 15 Feb 2025, with 1818 observations. The data reached an all-time high of 1,849,459.000 Person in 15 Feb 2025 and a record low of 0.000 Person in 05 Mar 2020. MDS: COVID-19: Confirmed Cases: To Date: Northeast: Bahia data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table BR.HLA001: Disease Outbreaks: COVID-19: Confirmed Cases. Current day data is released daily between 6PM and 7PM Brazil Time. Weekend data are updated following Monday morning, Hong Kong Time.

The cumulative number of COVID-19 cases in Spain amounted to nearly 14 million as of July 28, 2024. Since Spain confirmed its first case, the authorities have reported approximately 122,000 deaths as a result of complications stemming from the disease, most of them in Madrid. COVID-19: background information COVID-19 is a disease caused by a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. Multiple cases have been reported each day. At the beginning of the pandemic, few was known regarding the virus. Though some aspects still remain unclear, more information has been collected since the outbreak started, allowing a better understanding of the disease and its prevention and treatment, including the production of new vaccines. Immunization in Spain As of May 24, 2023, around 87 percent of the population in Spain had received at least one dose of a vaccine against COVID-19. Moreover, approximately 86 percent were already fully vaccinated. As of August 5, 2022, the number of pre-ordered doses of COVID-19 vaccines in the country amounted to 283.3 million, more than half of which were produced by Pfizer/BioNTech. Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.