This dataset contains counts of deaths for California as a whole based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.

The final data tables include both deaths that occurred in California regardless of the place of residence (by occurrence) and deaths to California residents (by residence), whereas the provisional data table only includes deaths that occurred in California regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

This dataset contains counts of deaths for California counties based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.

The final data tables include both deaths that occurred in each California county regardless of the place of residence (by occurrence) and deaths to residents of each California county (by residence), whereas the provisional data table only includes deaths that occurred in each county regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

Context

The 2019–20 coronavirus pandemic is an ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus first emerged in Wuhan, Hubei, China, in December 2019. On 11 March 2020, the World Health Organization declared the outbreak a pandemic. As of 11 March 2020, over 126,000 cases have been confirmed in more than 110 countries and territories, with major outbreaks in mainland China, Italy, South Korea, and Iran. More than 4,600 have died from the disease and 67,000 have recovered.

Content

2019 Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. At this time, it’s unclear how easily or sustainably this virus is spreading between people - CDC

This dataset has information on the number of affected cases, deaths and recovery from 2019 novel coronavirus. Please note that this data was scrapped from https://www.worldometers.info/coronavirus/.This data is solely for education purposes only.

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Acknowledgements

This data is solely belongs to https://www.worldometers.info/coronavirus/. for licensing visit https://www.worldometers.info/licensing/

Context

The 2019–20 coronavirus pandemic is an ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus first emerged in Wuhan, Hubei, China, in December 2019. On 11 March 2020, the World Health Organization declared the outbreak a pandemic. As of 11 March 2020, over 126,000 cases have been confirmed in more than 110 countries and territories, with major outbreaks in mainland China, Italy, South Korea, and Iran. More than 4,600 have died from the disease and 67,000 have recovered.

Content

2019 Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. At this time, it’s unclear how easily or sustainably this virus is spreading between people - CDC

This dataset has information on the number of affected cases, deaths and recovery from 2019 novel coronavirus. Please note that this data was scrapped from https://www.worldometers.info/coronavirus/.This data is solely for education purposes only.

Acknowledgements

This data is solely belongs to https://www.worldometers.info/coronavirus/. for licensing visit https://www.worldometers.info/licensing/

Number and percentage of deaths, by month and place of residence, 1991 to most recent year.

Status of COVID-19 cases in Ontario

This dataset compiles daily snapshots of publicly reported data on 2019 Novel Coronavirus (COVID-19) testing in Ontario.

Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak.

Effective April 13, 2023, this dataset will be discontinued. The public can continue to access the data within this dataset in the following locations updated weekly on the Ontario Data Catalogue:

• Ontario COVID-19 testing percent positive by age group
• Confirmed positive cases of COVID-19 in Ontario
• Ontario COVID-19 testing metrics by Public Health Unit (PHU)
• Ontario COVID-19 testing percent positive by age group
• COVID-19 cases in hospital and ICU, by Ontario Health (OH) region
• Cumulative deaths (new methodology)
• Deaths Involving COVID-19 by Fatality Type

For information on Long-Term Care Home COVID-19 Data, please visit: Long-Term Care Home COVID-19 Data.

Data includes:

• reporting date
• daily tests completed
• total tests completed
• test outcomes
• total case outcomes (resolutions and deaths)
• current tests under investigation
• current hospitalizations
  • current patients in Intensive Care Units (ICUs) due to COVID-related critical Illness
  • current patients in Intensive Care Units (ICUs) testing positive for COVID-19
  • current patients in Intensive Care Units (ICUs) no longer testing positive for COVID-19
  • current patients in Intensive Care Units (ICUs) on ventilators due to COVID-related critical illness
  • current patients in Intensive Care Units (ICUs) on ventilators testing positive for COVID-19
  • current patients in Intensive Care Units (ICUs) on ventilators no longer testing positive for COVID-19
• Long-Term Care (LTC) resident and worker COVID-19 case and death totals
• Variants of Concern case totals
• number of new deaths reported (occurred in the last month)
• number of historical deaths reported (occurred more than one month ago)
• change in number of cases from previous day by Public Health Unit (PHU).

This dataset is subject to change. Please review the daily epidemiologic summaries for information on variables, methodology, and technical considerations.

Cumulative Deaths

**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 **

The methodology used to count COVID-19 deaths has changed to exclude deaths not caused by COVID. This impacts data captured in the columns “Deaths”, “Deaths_Data_Cleaning” and “newly_reported_deaths” starting with data for March 11, 2022. A new column has been added to the file “Deaths_New_Methodology” which represents the methodological change.

The method used to count COVID-19 deaths has changed, effective December 1, 2022. Prior to December 1, 2022, deaths were counted based on the date the death was updated in the public health unit’s system. Going forward, deaths are counted on the date they occurred.

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. A small number of COVID deaths (less than 20) do not have recorded death date and will be excluded from this file.

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.

Related dataset(s)

• Confirmed positive cases of COVID-19 in Ontario

This dataset compiles daily snapshots of publicly reported data on 2019 Novel Coronavirus (COVID-19) testing in Ontario.

Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak.

Data includes:

• approximation of onset date
• age group
• patient gender
• case acquisition information
• patient outcome
• reporting Public Health Unit (PHU)
• postal code, website, longitude, and latitude of PHU

This dataset is subject to change. Please review the daily epidemiologic summaries for information on variables, methodology, and technical considerations.

Additional information

This data is no longer available on this page. Information about COVID-19, and other respiratory viruses, is available through Public Health Ontario’s “Ontario Respiratory Virus Tool".

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. This impacts data captured in the column ‘Outcome1’.

Due to changes in data availability, the following variables will be removed from this file, effective Thursday April 13, 2023: ‘Case_AcquisitionInfo’, ‘Outbreak_Related’. Also due to changes in data availability, the variable ‘Outcome1’ will be equal to ‘Fatal’ (deaths due to COVID-19) or blank (all other cases)

The methodology used to count COVID-19 deaths has changed to exclude deaths not caused by COVID. This impacts data captured in the column ‘‘Outcome1’ starting with data posted to the catalogue on March 11, 2022.

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.

Related dataset(s)

• Status of COVID-19 cases in Ontario

VBA BENEFIT PROGRAM to provide educational opportunities to the dependents of certain disabled and deceased veterans. Spouses, surviving spouses, and children (including stepchild or adopted child) between age 18 and 26 of veterans who died from service-connected disabilities, of living veterans whose service-connected disabilities are considered permanently and totally disabling, of those who died from any cause while such service-connected disabilities were in existence, of servicepersons who have been listed for a total of more than 90 days as currently missing in action, or as currently prisoners of war, a service member who VA determines has a service connected permanent and total disability and at the time of VA's determination is a member of the Armed Forces who is hospitalized or receiving outpatient medical care, services, or treatment; and is likely to be discharged or released from service for this service-connected disability. Children under the age of 18 may be eligible under special circumstances.

Context: The 2019–20 coronavirus pandemic was confirmed to have reached Pakistan on 26 February 2020, when a student in Karachi tested positive upon returning from Iran. By 18 March, cases had been registered in all four provinces, the two autonomous territories, and the federal territory of Islamabad. The dataset is completely acquired from NIH Publications, Governmental resources and extra mile contacts. The dataset reflects at provincial level and details from all the aspects. Complete details can be visualized at hyperurl.co/pakcovid Content: The dataset contains chronological seven tabs and 80+ columns with data ranging from Suspected Cases Last Date Suspected Cases Last 24 Hrs Suspected Cases Cumulative Lab Tests Last 24 Hrs Lab Tests Cumulative Confirmed Cases Last Date Confirmed Cases Last 24 Hrs Confirmed Cases Cumulative Deaths Last Date Deaths Last 24 Hrs Deaths Cumulative Transmission Total Transmission Foreign - Iran Transmission Foreign - Iran % Transmission Foreign - Other Transmission Foreign - Other % Transmission Local - Tableegh Transmission Local % - Tableegh Transmission Local - Others Transmission Local % - Others Transmission Local Transmission Local % Total Hospitals Beds for COVID Total Admitted Admitted Stable Admitted Critical Admitted Ventilator Home Quarantine Recovered Death Quarantine Facilities Last 24 Hrs Arrival Last 24 Hrs (Location) Last 24 Hrs Departure Cumulative Quarantined Number of Tests Results Achieved Test Positive Cases Test Positive Cases % Confirmed HW - Active Doctors Confirmed HW - Active Nurses Confirmed HW - Active Others Confirmed HW - Active Total Confirmed HW - Active Isolation Confirmed HW - Active Hospital Confirmed HW - Active Hospital Stable Confirmed HW - Active Hospital Ventilator Confirmed HW - Active Recovered Confirmed HW - Active Deaths all at provincial level The first version has the data from first case of February 26 2020 to April 19, 2020. We intend to publish weekly updates Data Source: National Institute of Health website Daily publication Processed via Python Camelot Package. Visit https://github.com/MesumRaza for details on scripting. Acknowledgements: Users are allowed to use, copy, distribute and cite the dataset as follows: “Mesum Raza Hemani, Corona Virus Pakistan Dataset 2020, Kaggle Dataset Repository”

Data set from Mazzaccaro D, Modafferi A, Malacrida G, Nano G. Assessment of long-term survival and stroke after carotid endarterectomy and carotid stenting in patients older than 80 years. J Vasc Surg. 2019 Aug;70(2):522-529. doi: 10.1016/j.jvs.2018.10.121. Epub 2019 Mar 2. PMID: 30837178.

This is the abstract:

Objective: The objective of this study was to analyze preoperative risk factors affecting long-term survival and the occurrence of stroke in patients older than 80 years undergoing either carotid endarterectomy (CEA) or carotid artery stenting (CAS) for carotid stenosis.

Methods: Data of all consecutive patients treated from January 1999 to December 2017 were retrospectively reviewed and outcomes analyzed. Kaplan-Meier analysis was used to estimate long-term survival and the risk of stroke for both groups. Cox proportional hazards analysis was used to assess the relative risk of all-cause mortality and long-term stroke for patients in the presence of selected comorbidities, including preoperative symptoms, coronary artery disease, chronic renal failure, atrial fibrillation (AF), hypertension, diabetes mellitus, and dyslipidemia. A P value <.05 was considered statistically significant.

Results: A total of 473 patients older than 80 years (298 men [63%]) underwent either CEA (n = 178) or CAS. At 30 days, one patient died in the CEA group of unrelated causes; no deaths were recorded after CAS (0.6% vs 0%; P = .18). At 5 years, survival was 67.6% ± 4.9% after CEA and 90.2% ± 2.3% after CAS (P < .0001). The main cause of death after CEA and CAS was a neoplasm. Estimated freedom from any stroke at 5 years was 97.3% ± 0.5% after CEA and 93.2% ± 1.2% after CAS (P = .07). The presence of preoperative AF significantly affected long-term mortality after CAS (hazard ratio [HR], 1.56; 95% confidence interval [CI], 1.34-1.98; P = .04) as well as being classified as American Society of Anesthesiologists class 3 at evaluation of the preoperative anesthesiology risk. The presence of preoperative AF was the only factor that significantly affected the occurrence of long-term stroke after both CAS (HR, 2.28; 95% CI, 1.86-5.63; P = .001) and CEA (HR, 3.45; 95% CI, 2.29-8.19; P = .005).

Conclusions: Both CEA and CAS showed low 30-day mortality and any-stroke rates in patients older than 80 years. In the long term, survival was significantly better after CAS; however, deaths after CEA and CAS were mainly unrelated to the procedure. No significant differences were recorded in the occurrence of any stroke in the long term. The presence of preoperative AF significantly affected long-term survival after CAS as well as being classified as American Society of Anesthesiologists class 3 at evaluation of the preoperative anesthesiology risk. The presence of preoperative AF also significantly affected long-term risk of stroke after both CAS and CEA.

VBA EDUCATION PROGRAM BENEFITS to provide educational opportunities to the dependents of certain disabled and deceased veterans. Spouses, surviving spouses, and children (including stepchild or adopted child) between age 18 and 26 of veterans who died from service-connected disabilities, of living veterans whose service-connected disabilities are considered permanently and totally disabling, of those who died from any cause while such service-connected disabilities were in existence, of servicepersons who have been listed for a total of more than 90 days as currently missing in action, or as currently prisoners of war, a service member who VA determines has a service connected permanent and total disability and at the time of VA’s determination is a member of the Armed Forces who is hospitalized or receiving outpatient medical care, services, or treatment; and is likely to be discharged or released from service for this service-connected disability. Children under the age of 18 may be eligible under special circumstances.

COVID-19

Coronavirus disease 2019 (COVID-19) is an infectious disease that was first identified in December 2019 in Wuhan, the capital of China's Hubei province, and has since spread globally, resulting in the ongoing 2019–20 coronavirus pandemic. About five months passed and more than 3.3 million cases have been reported across 187 countries and territories, resulting in more than 235,000 deaths, and more than 1.03 million people have recovered.

Egypt

Egypt is one of the countries that is suffering from the pandemic and one of the top 10 countries in the death rate compared to the number of confirmed cases. The first COVID-19 case reported was in February 2020 for a tourist, Since that, number of confirmed cases reached 5895 cases with 406 deaths

What's different in this dataset?

I decided to introduce this dataset after observed that all dataset in our hands are cumulative so I calculated numbers day by day. Also gave the information about the number of cases that have changes in their PCR results from positive to negative and the lockdown status in the country

Acknowledgements

The Ministry of Health and Population that reports the daily numbers clearly, Thanks for your efforts willing the victory during this war against the pandemic.