53 datasets found
  1. COVID-19 confirmed, recovered and deceased cumulative cases in India...

    • statista.com
    Updated Dec 4, 2024
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    Statista (2024). COVID-19 confirmed, recovered and deceased cumulative cases in India 2020-2023 [Dataset]. https://www.statista.com/statistics/1104054/india-coronavirus-covid-19-daily-confirmed-recovered-death-cases/
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    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 29, 2020 - Oct 20, 2023
    Area covered
    India
    Description

    India reported almost 45 million cases of the coronavirus (COVID-19) as of October 20, 2023, with more than 44 million recoveries and about 532 thousand fatalities. The number of cases in the country had a decreasing trend in the past months.

    Burden on the healthcare system

    With the world's second largest population in addition to an even worse second wave of the coronavirus pandemic seems to be crushing an already inadequate healthcare system. Despite vast numbers being vaccinated, a new variant seemed to be affecting younger age groups this time around. The lack of ICU beds, black market sales of oxygen cylinders and drugs needed to treat COVID-19, as well as overworked crematoriums resorting to mass burials added to the woes of the country. Foreign aid was promised from various countries including the United States, France, Germany and the United Kingdom. Additionally, funding from the central government was expected to boost vaccine production.

    Situation overview
    Even though days in April 2021 saw record-breaking numbers compared to any other country worldwide, a nation-wide lockdown has not been implemented. The largest religious gathering - the Kumbh Mela, sacred to the Hindus, along with election rallies in certain states continue to be held. Some states and union territories including Maharashtra, Delhi, and Karnataka had issued curfews and lockdowns to try to curb the spread of infections.

  2. g

    Coronavirus (Covid-19) Data in the United States

    • github.com
    • openicpsr.org
    • +3more
    csv
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    New York Times, Coronavirus (Covid-19) Data in the United States [Dataset]. https://github.com/nytimes/covid-19-data
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    csvAvailable download formats
    Dataset provided by
    New York Times
    License

    https://github.com/nytimes/covid-19-data/blob/master/LICENSEhttps://github.com/nytimes/covid-19-data/blob/master/LICENSE

    Description

    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

    Since the first reported coronavirus case in Washington State on Jan. 21, 2020, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

    We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

    The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

  3. COVID-19 India Statewise Reported Cases Timeseries

    • kaggle.com
    Updated Dec 5, 2020
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    Amit Savant (2020). COVID-19 India Statewise Reported Cases Timeseries [Dataset]. https://www.kaggle.com/amitsavant/covid19-india-statewise-reported-cases-timeseries/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 5, 2020
    Dataset provided by
    Kaggle
    Authors
    Amit Savant
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    India
    Description

    Context

    This dataset provides a timeseries of COVID-19 reported cases including cured/migrated information of states of India. The data is available from 30th January 2020 onwards.

    Content

    The data is in CSV format and has 5 columns.

    Date: Date in DD-MM-YYYY format State: Name if the state Total Confirmed Cases: Total number of confirmed cases as on Date Cured/Discharged/Migrated: Total number of cured, discharged or migrated cases as on Date Death: Total number of deaths as on Date

    All figures are cumulative.

    Acknowledgements

    This dataset is created and maintained using the data available in public domain. The state-wise COVID-19 cases in India are published by Ministry of Health and Family Welfare, Government of India on their website https://www.mohfw.gov.in/. A snapshot of the data on the above website is taken at 11PM IST(UTC+05.30) daily and appended to this dataset. Part of the data for initial period is taken from India Today COVID-19 Tracker at https://www.indiatoday.in/india/story/coronavirus-cases-in-india-covid19-states-cities-affected-1653852-2020-03-09.

    Banner Photo by Martin Sanchez on Unsplash

  4. COVID-19 cases in Indian states 2023, by type

    • statista.com
    • flwrdeptvarieties.store
    Updated Dec 4, 2024
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    Statista (2024). COVID-19 cases in Indian states 2023, by type [Dataset]. https://www.statista.com/statistics/1103458/india-novel-coronavirus-covid-19-cases-by-state/
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    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The Indian state of Punjab reported the highest number of active coronavirus (COVID-19) cases of over one thousand cases as of October 20, 2023. Kerala and Karnataka followed, with relatively lower casualties. That day, there were a total of over 44 million confirmed infections across India.

  5. T

    CORONAVIRUS CASES by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 4, 2020
    + more versions
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    TRADING ECONOMICS (2020). CORONAVIRUS CASES by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/coronavirus-cases
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Mar 4, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    World
    Description

    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.

  6. I

    India COVID-19: As on Date: Total Number of Active Cases

    • ceicdata.com
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    India COVID-19: As on Date: Total Number of Active Cases [Dataset]. https://www.ceicdata.com/en/india/disease-outbreaks-coronavirus-2019-mohfw/covid19-as-on-date-total-number-of-active-cases
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 16, 2024 - Mar 17, 2025
    Area covered
    India
    Description

    India COVID-19: As on Date: Total Number of Active Cases data was reported at 6.000 Case in 17 Mar 2025. This stayed constant from the previous number of 6.000 Case for 10 Mar 2025. India COVID-19: As on Date: Total Number of Active Cases data is updated daily, averaging 44,500.500 Case from Mar 2020 (Median) to 17 Mar 2025, with 1580 observations. The data reached an all-time high of 3,745,237.000 Case in 10 May 2021 and a record low of 1.000 Case in 24 Feb 2025. India COVID-19: As on Date: Total Number of Active Cases data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

  7. COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

    • statista.com
    Updated Nov 25, 2024
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    Statista (2024). COVID-19 cases and deaths per million in 210 countries as of July 13, 2022 [Dataset]. https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/
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    Dataset updated
    Nov 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

  8. Covid19_India_Cases

    • kaggle.com
    Updated Apr 12, 2020
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    Chaitanya (2020). Covid19_India_Cases [Dataset]. https://www.kaggle.com/datasets/crbelhekar619/covid19-india-cases/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 12, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Chaitanya
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    India
    Description

    Context

    • A new coronavirus designated 2019-nCoV was first identified in Wuhan, the capital of China's Hubei province
    • People developed pneumonia without a clear cause and for which existing vaccines or treatments were not effective.
    • The virus has shown evidence of human-to-human transmission
    • Transmission rate (rate of infection) appeared to escalate in mid-January 2020
    • As of 16 March 2020, approximately 170,237 cases have been confirmed
    • In India, 110 cases have been confirmed until 15th March, 2020.

    Content

    Each row represent the daily confirmed cases in India.

    Acknowledgements

    Ministry of Health and Family Welfare.

    Inspiration

    To create awareness among Indians regarding the spread of Covid-19.

  9. COVID-19 cases in Tamil Nadu, India October 2023, by type

    • statista.com
    Updated Dec 4, 2024
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    Statista (2024). COVID-19 cases in Tamil Nadu, India October 2023, by type [Dataset]. https://www.statista.com/statistics/1143336/india-tamil-nadu-covid-19-cases-by-type/
    Explore at:
    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    Tamil Nadu confirmed about 3.6 million cases of the coronavirus (COVID-19) as of October 20, 2023, with over 38 thousand fatalities and over 3.5 million recoveries. India reported more than 45 million confirmed cumulative cases, including this state that same day.

  10. I

    India COVID-19: As on Date: Number of Active Cases: Delhi

    • ceicdata.com
    + more versions
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    CEICdata.com, India COVID-19: As on Date: Number of Active Cases: Delhi [Dataset]. https://www.ceicdata.com/en/india/disease-outbreaks-coronavirus-2019-mohfw/covid19-as-on-date-number-of-active-cases-delhi
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 23, 2024 - Mar 24, 2025
    Area covered
    India
    Description

    COVID-19: As on Date: Number of Active Cases: Delhi data was reported at 1.000 Case in 24 Mar 2025. This stayed constant from the previous number of 1.000 Case for 17 Mar 2025. COVID-19: As on Date: Number of Active Cases: Delhi data is updated daily, averaging 513.000 Case from Mar 2020 (Median) to 24 Mar 2025, with 1581 observations. The data reached an all-time high of 103,424.000 Case in 29 Apr 2021 and a record low of 0.000 Case in 03 Mar 2025. COVID-19: As on Date: Number of Active Cases: Delhi data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

  11. COVID-19 in India

    • kaggle.com
    zip
    Updated Mar 18, 2020
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    SRK (2020). COVID-19 in India [Dataset]. https://www.kaggle.com/sudalairajkumar/covid19-in-india
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    zip(3444 bytes)Available download formats
    Dataset updated
    Mar 18, 2020
    Authors
    SRK
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    India
    Description

    Context

    Coronaviruses are a large family of viruses which may cause illness in animals or humans. In humans, several coronaviruses are known to cause respiratory infections ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). The most recently discovered coronavirus causes coronavirus disease COVID-19 - World Health Organization

    The number of new cases are increasing day by day around the world. This dataset has information from the states and union territories of India at daily level.

    Data comes from Ministry of Health & Family Welfare

    Content

    COVID-19 cases at daily level is present in covid_19_india.csv file

    Population at state level is present in population_india_census2011.csv file

    Acknowledgements

    Thanks to Indian Ministry of Health & Family Welfare for making the data available to general public.

    Thanks to Wikipedia for population information.

    Photo Courtesy - https://hgis.uw.edu/virus/

    Inspiration

    Looking for data based suggestions to stop / delay the spread of virus

  12. I

    India COVID-19: As on Date: Number of Confirmed Cases: Kerala

    • ceicdata.com
    Updated Nov 15, 2019
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    CEICdata.com (2019). India COVID-19: As on Date: Number of Confirmed Cases: Kerala [Dataset]. https://www.ceicdata.com/en/india/disease-outbreaks-coronavirus-2019-mohfw/covid19-as-on-date-number-of-confirmed-cases-kerala
    Explore at:
    Dataset updated
    Nov 15, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 16, 2024 - Mar 17, 2025
    Area covered
    India
    Description

    COVID-19: As on Date: Number of Confirmed Cases: Kerala data was reported at 6,921,255.000 Case in 17 Mar 2025. This stayed constant from the previous number of 6,921,255.000 Case for 10 Mar 2025. COVID-19: As on Date: Number of Confirmed Cases: Kerala data is updated daily, averaging 6,546,025.500 Case from Mar 2020 (Median) to 17 Mar 2025, with 1580 observations. The data reached an all-time high of 6,921,255.000 Case in 17 Mar 2025 and a record low of 22.000 Case in 15 Mar 2020. COVID-19: As on Date: Number of Confirmed Cases: Kerala data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

  13. Covid19-Cases-India

    • kaggle.com
    Updated May 1, 2020
    + more versions
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    AshishAgarwal (2020). Covid19-Cases-India [Dataset]. https://www.kaggle.com/ashishagw/covid19casesindia/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 1, 2020
    Dataset provided by
    Kaggle
    Authors
    AshishAgarwal
    License

    http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html

    Area covered
    India
    Description

    Context

    The first COVID-19 case was reported on 30 January in a student who arrived in Kerala state from Wuhan. Then 2 more cases were reported in the next 2 days in Kerala again. For almost a month, no new cases were reported in India, however, on 8th March, five new cases of coronavirus in Kerala were again reported and since then the cases have been rising affecting 14 states. Here is the Data of of Covid-19 patients in India up till 1st May 2020

    Content

    The Dataset contains Daily number of reported/confirmed cases. It also contains total number of discharged cases.

    Acknowledgements

    https://www.mohfw.gov.in/

  14. Complete COVID-19 dataset for India statistics

    • kaggle.com
    zip
    Updated Apr 26, 2021
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    Advik Maniar (2021). Complete COVID-19 dataset for India statistics [Dataset]. https://www.kaggle.com/advikmaniar/covid-datasets
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    zip(511822 bytes)Available download formats
    Dataset updated
    Apr 26, 2021
    Authors
    Advik Maniar
    Area covered
    India
    Description

    Dataset

    This dataset was created by Advik Maniar

    Contents

  15. I

    India COVID-19: As on Date: Number of Active Cases: Dadra and Nagar Haveli

    • ceicdata.com
    + more versions
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    CEICdata.com, India COVID-19: As on Date: Number of Active Cases: Dadra and Nagar Haveli [Dataset]. https://www.ceicdata.com/en/india/disease-outbreaks-coronavirus-2019/covid19-as-on-date-number-of-active-cases-dadra-and-nagar-haveli
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 31, 2020 - Jun 11, 2020
    Area covered
    India
    Description

    India COVID-19: As on Date: Number of Active Cases: Dadra and Nagar Haveli data was reported at 24.000 Case in 11 Jun 2020. This records an increase from the previous number of 20.000 Case for 10 Jun 2020. India COVID-19: As on Date: Number of Active Cases: Dadra and Nagar Haveli data is updated daily, averaging 2.000 Case from May 2020 (Median) to 11 Jun 2020, with 37 observations. The data reached an all-time high of 24.000 Case in 11 Jun 2020 and a record low of 1.000 Case in 23 May 2020. India COVID-19: As on Date: Number of Active Cases: Dadra and Nagar Haveli data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

  16. Coronavirus (COVID-19) cases, recoveries, and deaths worldwide as of May 2,...

    • statista.com
    Updated Dec 15, 2020
    + more versions
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    Coronavirus (COVID-19) cases, recoveries, and deaths worldwide as of May 2, 2023 [Dataset]. https://www.statista.com/statistics/1087466/covid19-cases-recoveries-deaths-worldwide/
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    Dataset updated
    Dec 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2, 2023
    Area covered
    Worldwide
    Description

    As of May 2, 2023, there were roughly 687 million global cases of COVID-19. Around 660 million people had recovered from the disease, while there had been almost 6.87 million deaths. The United States, India, and Brazil have been among the countries hardest hit by the pandemic.

    The various types of human coronavirus The SARS-CoV-2 virus is the seventh known coronavirus to infect humans. Its emergence makes it the third in recent years to cause widespread infectious disease following the viruses responsible for SARS and MERS. A continual problem is that viruses naturally mutate as they attempt to survive. Notable new variants of SARS-CoV-2 were first identified in the UK, South Africa, and Brazil. Variants are of particular interest because they are associated with increased transmission.

    Vaccination campaigns Common human coronaviruses typically cause mild symptoms such as a cough or a cold, but the novel coronavirus SARS-CoV-2 has led to more severe respiratory illnesses and deaths worldwide. Several COVID-19 vaccines have now been approved and are being used around the world.

  17. I

    India COVID-19: As on Date: Number of Confirmed Cases: Bihar

    • ceicdata.com
    Updated Dec 15, 2019
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    CEICdata.com (2019). India COVID-19: As on Date: Number of Confirmed Cases: Bihar [Dataset]. https://www.ceicdata.com/en/india/disease-outbreaks-coronavirus-2019-mohfw/covid19-as-on-date-number-of-confirmed-cases-bihar
    Explore at:
    Dataset updated
    Dec 15, 2019
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 16, 2024 - Mar 17, 2025
    Area covered
    India
    Description

    COVID-19: As on Date: Number of Confirmed Cases: Bihar data was reported at 855,691.000 Case in 17 Mar 2025. This stayed constant from the previous number of 855,691.000 Case for 10 Mar 2025. COVID-19: As on Date: Number of Confirmed Cases: Bihar data is updated daily, averaging 830,669.000 Case from Mar 2020 (Median) to 17 Mar 2025, with 1573 observations. The data reached an all-time high of 855,691.000 Case in 17 Mar 2025 and a record low of 2.000 Case in 23 Mar 2020. COVID-19: As on Date: Number of Confirmed Cases: Bihar data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

  18. Total number of COVID-19 cases APAC April 2024, by country

    • statista.com
    Updated Sep 18, 2024
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    Total number of COVID-19 cases APAC April 2024, by country [Dataset]. https://www.statista.com/statistics/1104263/apac-covid-19-cases-by-country/
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    Dataset updated
    Sep 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Asia–Pacific
    Description

    The outbreak of the novel coronavirus in Wuhan, China, saw infection cases spread throughout the Asia-Pacific region. By April 13, 2024, India had faced over 45 million coronavirus cases. South Korea followed behind India as having had the second highest number of coronavirus cases in the Asia-Pacific region, with about 34.6 million cases. At the same time, Japan had almost 34 million cases. At the beginning of the outbreak, people in South Korea had been optimistic and predicted that the number of cases would start to stabilize. What is SARS CoV 2?Novel coronavirus, officially known as SARS CoV 2, is a disease which causes respiratory problems which can lead to difficulty breathing and pneumonia. The illness is similar to that of SARS which spread throughout China in 2003. After the outbreak of the coronavirus, various businesses and shops closed to prevent further spread of the disease. Impacts from flight cancellations and travel plans were felt across the Asia-Pacific region. Many people expressed feelings of anxiety as to how the virus would progress. Impact throughout Asia-PacificThe Coronavirus and its variants have affected the Asia-Pacific region in various ways. Out of all Asia-Pacific countries, India was highly affected by the pandemic and experienced more than 50 thousand deaths. However, the country also saw the highest number of recoveries within the APAC region, followed by South Korea and Japan.

  19. Number of COVID-19 deaths per million India 2020 by state

    • statista.com
    Updated Jul 12, 2023
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    Statista (2023). Number of COVID-19 deaths per million India 2020 by state [Dataset]. https://www.statista.com/statistics/1173403/india-number-of-covid-19-deaths-per-million-by-state/
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    Dataset updated
    Jul 12, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 16, 2020
    Area covered
    India
    Description

    In October 2020, Tripura recorded the highest COVID-19 deaths per million people compared to to other states and Union territories with 77 deaths. Uttarakhand followed with over 71 deaths per million people.

    Indicators such as case fatality and doubling time are used to measure the spread of the disease. The total deaths per million is considered to be a good indicator, to better measure and understand, the efficacy of the measures undertaken to control the spread of the virus. A slacked increase along with a fall in the number of new deaths per day is suggestive of a good control indicator.

  20. Coronavirus Disease 2019 (COVID-19) - Epidemiology Analysis and Forecast -...

    • store.globaldata.com
    Updated May 30, 2020
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    GlobalData UK Ltd. (2020). Coronavirus Disease 2019 (COVID-19) - Epidemiology Analysis and Forecast - May 2020 [Dataset]. https://store.globaldata.com/report/coronavirus-disease-covid-19-epidemiology-analysis-and-forecast-may-2020/
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    Dataset updated
    May 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    First reported in Wuhan, China, in December 2019, now more than 846,200 confirmed cases of COVID-19 are spread across 187 countries worldwide. The US and several countries in Europe such as Italy, Spain, and Belgium have continued to see a decrease in daily cases. Russia, Brazil, and Latin American countries are seeing increasing trends. India has also seen an increase in the number of new cases reported despite strict distancing measures taken early on.
    Special populations analysis covered in the report include the following:
    COVID-19 in children may result in systemic multisystem syndrome with severe outcomes.
    Childhood routine vaccination rates drop during pandemic.
    COVID-19’s impact in pregnant women unclear, though most cases are asymptomatic.
    The COVID-19 pandemic could cause an increase in the prevalence of post-traumatic stress disorder (PTSD).
    Complications of opioid addiction will be challenging for the management of disease during the COVID-19 pandemic. Read More

Share
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Statista (2024). COVID-19 confirmed, recovered and deceased cumulative cases in India 2020-2023 [Dataset]. https://www.statista.com/statistics/1104054/india-coronavirus-covid-19-daily-confirmed-recovered-death-cases/
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COVID-19 confirmed, recovered and deceased cumulative cases in India 2020-2023

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18 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 4, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 29, 2020 - Oct 20, 2023
Area covered
India
Description

India reported almost 45 million cases of the coronavirus (COVID-19) as of October 20, 2023, with more than 44 million recoveries and about 532 thousand fatalities. The number of cases in the country had a decreasing trend in the past months.

Burden on the healthcare system

With the world's second largest population in addition to an even worse second wave of the coronavirus pandemic seems to be crushing an already inadequate healthcare system. Despite vast numbers being vaccinated, a new variant seemed to be affecting younger age groups this time around. The lack of ICU beds, black market sales of oxygen cylinders and drugs needed to treat COVID-19, as well as overworked crematoriums resorting to mass burials added to the woes of the country. Foreign aid was promised from various countries including the United States, France, Germany and the United Kingdom. Additionally, funding from the central government was expected to boost vaccine production.

Situation overview
Even though days in April 2021 saw record-breaking numbers compared to any other country worldwide, a nation-wide lockdown has not been implemented. The largest religious gathering - the Kumbh Mela, sacred to the Hindus, along with election rallies in certain states continue to be held. Some states and union territories including Maharashtra, Delhi, and Karnataka had issued curfews and lockdowns to try to curb the spread of infections.

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