This dataset is maintained by the European Centre for Disease Prevention and Control (ECDC) and reports on the geographic distribution of COVID-19 cases worldwide. This data includes COVID-19 reported cases and deaths broken out by country. This data can be visualized via ECDC’s Situation Dashboard . More information on ECDC’s response to COVID-19 is available here . This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery . This dataset is hosted in both the EU and US regions of BigQuery. See the links below for the appropriate dataset copy: US region EU region This dataset has significant public interest in light of the COVID-19 crisis. All bytes processed in queries against this dataset will be zeroed out, making this part of the query free. Data joined with the dataset will be billed at the normal rate to prevent abuse. After September 15, queries over these datasets will revert to the normal billing rate. Users of ECDC public-use data files must comply with data use restrictions to ensure that the information will be used solely for statistical analysis or reporting purposes.
The country with the highest number of pending cases before the European Court of Human Rights, by the end of 2024, was Turkey, with a total of ****** cases. The next country was Russia with ***** cases, followed by Ukraine and Romania with ***** and ***** cases, respectively.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This Dataset includes active cases,deaths etc. as per countrywise information.Actually this is raw data.you can apply cleaning operation to enhance quality of dataset as needed to analyising data.
In 2024, Brazil reported ****** cases of Zika virus disease, making it the Latin American country with the most Zika infections among selected nations that year. Argentina ranked second, with ****registered Zika virus infections.
https://data.gov.tw/licensehttps://data.gov.tw/license
Cumulative COVID-19 cases and death toll by country/region since 2020
As of June 2025, Brazil is the Latin American country with the highest number of dengue infections in Latin America and the Caribbean, having registered close to 2.8 million cases since the beginning of the year. Colombia and Mexico followed, with 76,000 and 42,000 dengue infections, respectively. Dengue worldwide Latin America is the region with the highest number of reported dengue fever infections in the world. In 2023, more than 6.5 million cases and 7,300 deaths were reported globally. As of that year, nearly half of the population was estimated to be at risk of a dengue infection, and around 100 countries were considered endemic to the disease. Regional differences Dengue is cyclical and seasonal, meaning that the time of the year in which cases peak varies from country to country, and that larger outbreaks take place every certain number of years. In Latin America, Brazil, for instance, sees its highest number of cases usually reported between March and May, while in Mexico dengue season takes places between June and October.
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License information was derived automatically
Analysis of ‘Covid in African Countries - Latest Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/anandhuh/covid-in-african-countries-latest-data on 28 January 2022.
--- Dataset description provided by original source is as follows ---
This dataset contains Covid-19 data of African countries as on January 26, 2022
Link : https://www.worldometers.info/coronavirus/#countries
Link : https://www.kaggle.com/anandhuh/datasets
If you find it useful, please support by upvoting 👍
--- Original source retains full ownership of the source dataset ---
In 2023, Italy had the most reported cases of botulism in Europe at **, followed by France with ** reported cases. This statistic displays the number of cases of botulism reported in Europe in 2023, by country.
Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.
The difficulties of death figures
This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.
Where are these numbers coming from?
The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Global Malaria Cases Reported by Country, 2023 Discover more data with ReportLinker!
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Global Hospital Discharges for Infectious and Parasitic Diseases Cases by Country, 2023 Discover more data with ReportLinker!
http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1843297%2F662051bd1966c60846f34eea7ed837a3%2FScreenshot%20from%202020-04-20%2023-08-44.png?generation=1587655709318285&alt=media" alt="">
I created a few models for predicting the COVID-19 Total Cases
, Total Deaths
, and Total Active Cases
. The model can be download here. I also created a website to display predicted charts for major countries that has great number of infection.
The rows are showing the Date
and the Total
. The columns are showing how much total (e.g. cases) over time.
The data was extracted and scrapped from [worldometers.info)[https://worldometers.info] website into CSV file format.
I hope these extracted data can help others in their model faster.
3,664 of the confirmed cases of coronavirus (COVID-19) in Norway as of April 21, 2020 reported to have been infected in Norway. This was the country from where the highest number of Norwegian coronavirus cases originated. The second highest number of cases originated from Austria, amounting to 696.
The first case of the coronavirus in Norway was confirmed on February 26, 2020 in Tromsø, in the county Troms and Finnmark. The number of cases in Norway rose since to a total of 7,156 as of April 21, 2020. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Global Hospital Discharges for Crohn's Disease and Ulcerative Colitis Cases by Country, 2023 Discover more data with ReportLinker!
On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources:Global: World Health Organization (WHO)U.S.: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This feature layer contains the most up-to-date COVID-19 cases and latest trend plot. It covers China, Canada, Australia (at province/state level), and the rest of the world (at country level, represented by either the country centroids or their capitals)and the US at county-level. Data sources: WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, BNO, state and national government health departments, and local media reports. . The China data is automatically updating at least once per hour, and non-China data is updating hourly. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact us.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Global Hospital Average Length of Stay for Epilepsy Cases by Country, 2023 Discover more data with ReportLinker!
This feature layer contains the most up-to-date COVID-19 cases for the US and Canada. Data sources: WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, BNO, state and national government health departments, and local media reports. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by the Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact Johns Hopkins.IMPORTANT NOTICE: 1. Fields for Active Cases and Recovered Cases are set to 0 in all locations. John Hopkins has not found a reliable source for this information at the county level but will continue to look and carry the fields.2. Fields for Incident Rate and People Tested are placeholders for when this becomes available at the county level.3. In some instances, cases have not been assigned a location at the county scale. those are still assigned a state but are listed as unassigned and given a Lat Long of 0,0.Data Field Descriptions by Alias Name:Province/State: (Text) Country Province or State Name (Level 2 Key)Country/Region: (Text) Country or Region Name (Level 1 Key)Last Update: (Datetime) Last data update Date/Time in UTCLatitude: (Float) Geographic Latitude in Decimal Degrees (WGS1984)Longitude: (Float) Geographic Longitude in Decimal Degrees (WGS1984)Confirmed: (Long) Best collected count of Confirmed Cases reported by geographyRecovered: (Long) Not Currently in Use, JHU is looking for a sourceDeaths: (Long) Best collected count for Case Deaths reported by geographyActive: (Long) Confirmed - Recovered - Deaths (computed) Not Currently in Use due to lack of Recovered dataCounty: (Text) US County Name (Level 3 Key)FIPS: (Text) US State/County CodesCombined Key: (Text) Comma separated concatenation of Key Field values (L3, L2, L1)Incident Rate: (Long) People Tested: (Long) Not Currently in Use Placeholder for additional dataPeople Hospitalized: (Long) Not Currently in Use Placeholder for additional data
Since May 2022, some cases of monkeypox have been reported to the WHO from non-endemic countries. The country reporting the highest number of confirmed cases were the United Kingdom, Portugal, and Canada. This graph shows the number of confirmed and suspected cases of monkeypox in non-endemic countries that have been reported to the WHO between May 13th and 26th, 2022.
This dataset is maintained by the European Centre for Disease Prevention and Control (ECDC) and reports on the geographic distribution of COVID-19 cases worldwide. This data includes COVID-19 reported cases and deaths broken out by country. This data can be visualized via ECDC’s Situation Dashboard . More information on ECDC’s response to COVID-19 is available here . This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery . This dataset is hosted in both the EU and US regions of BigQuery. See the links below for the appropriate dataset copy: US region EU region This dataset has significant public interest in light of the COVID-19 crisis. All bytes processed in queries against this dataset will be zeroed out, making this part of the query free. Data joined with the dataset will be billed at the normal rate to prevent abuse. After September 15, queries over these datasets will revert to the normal billing rate. Users of ECDC public-use data files must comply with data use restrictions to ensure that the information will be used solely for statistical analysis or reporting purposes.