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COVID-19 Worldwide Daily Data

Daily global COVID-19 data for all countries, provided by Johns Hopkins University (JHU) Center for Systems Science and Engineering (CSSE). If you want to use the update version of the data, you can use our daily updated data with the help of api key by entering it via Altadata.

Overview

In this data product, you may find the latest and historical global daily data on the COVID-19 pandemic for all countries.

The COVID‑19 pandemic, also known as the coronavirus pandemic, is an ongoing global pandemic of coronavirus disease 2019 (COVID‑19), caused by severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2). The outbreak was first identified in December 2019 in Wuhan, China. The World Health Organization declared the outbreak a Public Health Emergency of International Concern on 30 January 2020 and a pandemic on 11 March. As of 12 August 2020, more than 20.2 million cases of COVID‑19 have been reported in more than 188 countries and territories, resulting in more than 741,000 deaths; more than 12.5 million people have recovered.

The Johns Hopkins Coronavirus Resource Center is a continuously updated source of COVID-19 data and expert guidance. They aggregate and analyze the best data available on COVID-19 - including cases, as well as testing, contact tracing and vaccine efforts - to help the public, policymakers and healthcare professionals worldwide respond to the pandemic.

Methodology

• Cases and Death counts include confirmed and probable (where reported)
• Recovered cases are estimates based on local media reports, and state and local reporting when available, and therefore may be substantially lower than the true number. US state-level recovered cases are from COVID Tracking Project.
• Active cases = total cases - total recovered - total deaths
• Incidence Rate = cases per 100,000 persons
• Case-Fatality Ratio (%) = Number recorded deaths / Number cases
• Country Population represents 2019 projections by UN Population Division, integrated to the JHU CSSE's COVID-19 data by ALTADATA

Data Source

• Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)
• United Nations Population Division

Related Data Products

• COVID-19 US Daily Data
• OECD, EU28, G20 Life Expectancy and Mortality Indicators

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Data Dictionary

• Reported Date (reported_date) : Covid-19 Report Date
• Country_Region (country_region) : Country, region or sovereignty name
• Population (population) : Country populations as per United Nations Population Division
• Confirmed Case (confirmed) : Confirmed cases include presumptive positive cases and probable cases
• Active cases (active) : Active cases = total confirmed - total recovered - total deaths
• Deaths (deaths) : Death cases counts
• Recovered (recovered) : Recovered cases counts
• Mortality Rate (mortality_rate) : Number of recorded deaths * 100 / Number of confirmed cases
• Incident Rate (incident_rate) : Confirmed cases per 100,000 persons

Context

FasterCures, a center of the Milken Institute, is currently tracking the development of treatments and vaccines for COVID-19 (coronavirus) https://airtable.com/shrSAi6t5WFwqo3GM/tblEzPQS5fnc0FHYR/viwDBH7b6FjmIBX5x?blocks=bipZFzhJ7wHPv7x9z https://covid-19tracker.milkeninstitute.org/

Content

FasterCures, a center of the Milken Institute, is currently tracking the development of treatments and vaccines for COVID-19 (coronavirus). The tracker contains an aggregation of publicly-available information from validated sources.

https://covid-19tracker.milkeninstitute.org/

Acknowledgements

https://mdl.library.utoronto.ca/covid-19/data https://covid-19tracker.milkeninstitute.org/ https://airtable.com/shrSAi6t5WFwqo3GM/tblEzPQS5fnc0FHYR/viwDBH7b6FjmIBX5x?blocks=bipZFzhJ7wHPv7x9z

Photo by Daniel Schludi on Unsplash

Inspiration

Covid-19 Pandemic

SIECRT is a new dataset focused on public health measures adopted by 26 small affiliated island economies in their fight against the Covid-19 pandemic, between January 1, 2020, and April 31, 2021, with some exceptions extending until October 30, 2021. This dataset stands out from previous ones by focusing on affiliated island territories, often overlooked in other databases. It includes eight public health measures, such as restrictions on gatherings, educational establishments, and international travel. Each measure is coded daily. Excel, 16.71 The collection of information was carried out using a variety of secondary sources. These include official press articles, government announcements, as well as verified publications on the social networks of the concerned territories. These sources were deemed crucial for accurately determining the implementation dates of the different policies. All the sources utilized are accessible in the attached PDF document named "SIECRT_sources".

COVID-19 and race-based data- in the American States

• Data about Cases, Deaths, Hospitalzation, Tests performed.

Data from April 12, 2020 to March 7, 2021

The COVID Racial Data Tracker advocates for, collects, publishes, and analyzes racial data on the pandemic across the United States.

Columns: Date State Cases_Total Cases_White Cases_Black Cases_Latinx Cases_Asian Cases_AIAN Cases_NHPI Cases_Multiracial Cases_Other Cases_Unknown Cases_Ethnicity_Hispanic Cases_Ethnicity_NonHispanic Cases_Ethnicity_Unknown Deaths_Total Deaths_White Deaths_Black Deaths_Latinx Deaths_Asian Deaths_AIAN Deaths_NHPI Deaths_Multiracial Deaths_Other Deaths_Unknown Deaths_Ethnicity_Hispanic Deaths_Ethnicity_NonHispanic Deaths_Ethnicity_Unknown Hosp_Total Hosp_White Hosp_Black Hosp_Latinx Hosp_Asian Hosp_AIAN Hosp_NHPI Hosp_Multiracial Hosp_Other Hosp_Unknown Hosp_Ethnicity_Hispanic Hosp_Ethnicity_NonHispanic Hosp_Ethnicity_Unknown Tests_Total Tests_White Tests_Black Tests_Latinx Tests_Asian Tests_AIAN Tests_NHPI Tests_Multiracial Tests_Other Tests_Unknown Tests_Ethnicity_Hispanic Tests_Ethnicity_NonHispanic Tests_Ethnicity_Unknown

Acknowledgement Marguerite Casey Foundation. Data source: https://covidtracking.com/race/about#download-the-data. Dataset license (CC 4.0): https://covidtracking.com/about-data/license

On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit: World Health Organization (WHO)For more information, visit the Johns Hopkins Coronavirus Resource Center.COVID-19 Trends MethodologyOur goal is to analyze and present daily updates in the form of recent trends within countries, states, or counties during the COVID-19 global pandemic. The data we are analyzing is taken directly from the Johns Hopkins University Coronavirus COVID-19 Global Cases Dashboard, though we expect to be one day behind the dashboard’s live feeds to allow for quality assurance of the data.DOI: https://doi.org/10.6084/m9.figshare.125529863/7/2022 - Adjusted the rate of active cases calculation in the U.S. to reflect the rates of serious and severe cases due nearly completely dominant Omicron variant.6/24/2020 - Expanded Case Rates discussion to include fix on 6/23 for calculating active cases.6/22/2020 - Added Executive Summary and Subsequent Outbreaks sectionsRevisions on 6/10/2020 based on updated CDC reporting. This affects the estimate of active cases by revising the average duration of cases with hospital stays downward from 30 days to 25 days. The result shifted 76 U.S. counties out of Epidemic to Spreading trend and no change for national level trends.Methodology update on 6/2/2020: This sets the length of the tail of new cases to 6 to a maximum of 14 days, rather than 21 days as determined by the last 1/3 of cases. This was done to align trends and criteria for them with U.S. CDC guidance. The impact is areas transition into Controlled trend sooner for not bearing the burden of new case 15-21 days earlier.Correction on 6/1/2020Discussion of our assertion of an abundance of caution in assigning trends in rural counties added 5/7/2020. Revisions added on 4/30/2020 are highlighted.Revisions added on 4/23/2020 are highlighted.Executive SummaryCOVID-19 Trends is a methodology for characterizing the current trend for places during the COVID-19 global pandemic. Each day we assign one of five trends: Emergent, Spreading, Epidemic, Controlled, or End Stage to geographic areas to geographic areas based on the number of new cases, the number of active cases, the total population, and an algorithm (described below) that contextualize the most recent fourteen days with the overall COVID-19 case history. Currently we analyze the countries of the world and the U.S. Counties. The purpose is to give policymakers, citizens, and analysts a fact-based data driven sense for the direction each place is currently going. When a place has the initial cases, they are assigned Emergent, and if that place controls the rate of new cases, they can move directly to Controlled, and even to End Stage in a short time. However, if the reporting or measures to curtail spread are not adequate and significant numbers of new cases continue, they are assigned to Spreading, and in cases where the spread is clearly uncontrolled, Epidemic trend.We analyze the data reported by Johns Hopkins University to produce the trends, and we report the rates of cases, spikes of new cases, the number of days since the last reported case, and number of deaths. We also make adjustments to the assignments based on population so rural areas are not assigned trends based solely on case rates, which can be quite high relative to local populations.Two key factors are not consistently known or available and should be taken into consideration with the assigned trend. First is the amount of resources, e.g., hospital beds, physicians, etc.that are currently available in each area. Second is the number of recoveries, which are often not tested or reported. On the latter, we provide a probable number of active cases based on CDC guidance for the typical duration of mild to severe cases.Reasons for undertaking this work in March of 2020:The popular online maps and dashboards show counts of confirmed cases, deaths, and recoveries by country or administrative sub-region. Comparing the counts of one country to another can only provide a basis for comparison during the initial stages of the outbreak when counts were low and the number of local outbreaks in each country was low. By late March 2020, countries with small populations were being left out of the mainstream news because it was not easy to recognize they had high per capita rates of cases (Switzerland, Luxembourg, Iceland, etc.). Additionally, comparing countries that have had confirmed COVID-19 cases for high numbers of days to countries where the outbreak occurred recently is also a poor basis for comparison.The graphs of confirmed cases and daily increases in cases were fit into a standard size rectangle, though the Y-axis for one country had a maximum value of 50, and for another country 100,000, which potentially misled people interpreting the slope of the curve. Such misleading circumstances affected comparing large population countries to small population counties or countries with low numbers of cases to China which had a large count of cases in the early part of the outbreak. These challenges for interpreting and comparing these graphs represent work each reader must do based on their experience and ability. Thus, we felt it would be a service to attempt to automate the thought process experts would use when visually analyzing these graphs, particularly the most recent tail of the graph, and provide readers with an a resulting synthesis to characterize the state of the pandemic in that country, state, or county.The lack of reliable data for confirmed recoveries and therefore active cases. Merely subtracting deaths from total cases to arrive at this figure progressively loses accuracy after two weeks. The reason is 81% of cases recover after experiencing mild symptoms in 10 to 14 days. Severe cases are 14% and last 15-30 days (based on average days with symptoms of 11 when admitted to hospital plus 12 days median stay, and plus of one week to include a full range of severely affected people who recover). Critical cases are 5% and last 31-56 days. Sources:U.S. CDC. April 3, 2020 Interim Clinical Guidance for Management of Patients with Confirmed Coronavirus Disease (COVID-19). Accessed online. Initial older guidance was also obtained online. Additionally, many people who recover may not be tested, and many who are, may not be tracked due to privacy laws. Thus, the formula used to compute an estimate of active cases is: Active Cases = 100% of new cases in past 14 days + 19% from past 15-25 days + 5% from past 26-49 days - total deaths. On 3/17/2022, the U.S. calculation was adjusted to: Active Cases = 100% of new cases in past 14 days + 6% from past 15-25 days + 3% from past 26-49 days - total deaths. Sources: https://www.cdc.gov/mmwr/volumes/71/wr/mm7104e4.htm https://covid.cdc.gov/covid-data-tracker/#variant-proportions If a new variant arrives and appears to cause higher rates of serious cases, we will roll back this adjustment. We’ve never been inside a pandemic with the ability to learn of new cases as they are confirmed anywhere in the world. After reviewing epidemiological and pandemic scientific literature, three needs arose. We need to specify which portions of the pandemic lifecycle this map cover. The World Health Organization (WHO) specifies six phases. The source data for this map begins just after the beginning of Phase 5: human to human spread and encompasses Phase 6: pandemic phase. Phase six is only characterized in terms of pre- and post-peak. However, these two phases are after-the-fact analyses and cannot ascertained during the event. Instead, we describe (below) a series of five trends for Phase 6 of the COVID-19 pandemic.Choosing terms to describe the five trends was informed by the scientific literature, particularly the use of epidemic, which signifies uncontrolled spread. The five trends are: Emergent, Spreading, Epidemic, Controlled, and End Stage. Not every locale will experience all five, but all will experience at least three: emergent, controlled, and end stage.This layer presents the current trends for the COVID-19 pandemic by country (or appropriate level). There are five trends:Emergent: Early stages of outbreak. Spreading: Early stages and depending on an administrative area’s capacity, this may represent a manageable rate of spread. Epidemic: Uncontrolled spread. Controlled: Very low levels of new casesEnd Stage: No New cases These trends can be applied at several levels of administration: Local: Ex., City, District or County – a.k.a. Admin level 2State: Ex., State or Province – a.k.a. Admin level 1National: Country – a.k.a. Admin level 0Recommend that at least 100,000 persons be represented by a unit; granted this may not be possible, and then the case rate per 100,000 will become more important.Key Concepts and Basis for Methodology: 10 Total Cases minimum threshold: Empirically, there must be enough cases to constitute an outbreak. Ideally, this would be 5.0 per 100,000, but not every area has a population of 100,000 or more. Ten, or fewer, cases are also relatively less difficult to track and trace to sources. 21 Days of Cases minimum threshold: Empirically based on COVID-19 and would need to be adjusted for any other event. 21 days is also the minimum threshold for analyzing the “tail” of the new cases curve, providing seven cases as the basis for a likely trend (note that 21 days in the tail is preferred). This is the minimum needed to encompass the onset and duration of a normal case (5-7 days plus 10-14 days). Specifically, a median of 5.1 days incubation time, and 11.2 days for 97.5% of cases to incubate. This is also driven by pressure to understand trends and could easily be adjusted to 28 days. Source

Researchers are tracking how people across the world are responding to the coronavirus pandemic. The global survey, launched in partnership with YouGov the first week of April, is collecting fortnightly data from 29 countries to explore the public’s attitudes and health behaviours as the situation evolves.

This survey is monitoring how compliant individuals are with COVID-19 safety measures, such as self-isolation and avoiding unnecessary travel. It also looks into a range of other relevant behaviours and measures, from hygiene to quality of life.

From the project Web site: "To date, the Long-Term Care COVID Tracker is the most comprehensive dataset about COVID-19 in US long-term care facilities. It compiles crucial data about the effects of the pandemic on a population with extraordinary vulnerabilities to the virus due to age, underlying health conditions, or proximity to large outbreaks.

The dataset compiles all currently available information of COVID-19 cases and related deaths in long-term care facilities—nursing homes, skilled nursing facilities, assisted living facilities, and other care homes—and tracks both residents and staff."

The global market for virus tracker apps experienced significant growth between 2019 and 2024, driven primarily by the COVID-19 pandemic. While precise figures are unavailable, the market likely witnessed an explosive expansion during this period, fueled by heightened public health concerns and the need for contact tracing and risk assessment tools. This surge in demand propelled the market towards a substantial size by 2025, estimated at $2 billion, representing a robust Compound Annual Growth Rate (CAGR). Key drivers included government initiatives promoting app usage, rising smartphone penetration, and increased public awareness regarding infectious disease spread. Trending features included enhanced data privacy measures, integration with health authorities' databases, and the addition of functionalities beyond simple contact tracing, such as symptom checkers and vaccination tracking. However, concerns regarding data privacy and security, along with the eventual decline in pandemic-related anxieties, act as restraints, moderating future growth. The market is segmented by functionality (contact tracing, symptom tracking, vaccination verification), operating system (iOS, Android), and geographic region. Major players such as QuantUrban, HealthLynked Corp, B-Secur, Unbound, Baidu, Alibaba, CETC, and Tencent are competing in this space, leveraging their technological expertise and market presence to capture significant shares. Looking forward, the market is projected to maintain a steady, albeit slower, CAGR from 2025 to 2033. While the initial pandemic-driven surge will subside, ongoing concerns about emerging infectious diseases and the potential for future outbreaks will ensure continued market demand. Growth will likely be fueled by improvements in app functionalities, increased integration with telehealth platforms, and the development of more sophisticated epidemiological modeling capabilities within the apps. The focus will shift towards providing long-term value, beyond immediate pandemic responses, offering broader public health monitoring and disease prevention tools. Continued emphasis on data security and user privacy will be essential to maintain consumer trust and sustain market growth over the forecast period. The regional breakdown suggests a higher market share for North America and Europe initially, followed by gradual expansion in other regions as infrastructure and awareness improve.

Simple Curve Approximation Tool (SCAT) is a tool allowing the user to approximate and draw curves and allows testing of assumptions, trajectories and the wildly varying figures reported in the media. The software allows quick approximation of the curve and creates meaningful comparisons and understandable visualisations for COVID-19 and other diseases SCAT is provided online as a downloadable MS Excel workbook with some sample cases show.

The COVID-19 Simulator website has a collection of tools to help health policymakers and practitioners make decisions regarding policy, and strategy related to coronavirus disease 2019: (1) COVID-19 Policy Simulator is an interactive tool to help policymakers decide how to respond to COVID-19 pandemic; (2) The COVID-19 Outbreak Detection Tool detects recent outbreaks in U.S. counties by leveraging machine learning; (3) The COVID-19 Football Tracker displays NFL and NCAA football game-related info and outbreak data; (4) COVID-19 Immunity Tracker map showing the estimated COVID-19 immunity - proportion of the population with antibodies to COVID-19 by state.

Database of COVID-19 police enforcement actions across Canada (2020-07-09)