25 datasets found
  1. COVID-19 cases in Indian states 2023, by type

    • statista.com
    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/
    Explore at:
    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.

  2. A

    ‘Latest Covid-19 India Statewise Data’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 28, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Latest Covid-19 India Statewise Data’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-latest-covid-19-india-statewise-data-0b35/eb9e3084/?iid=001-152&v=presentation
    Explore at:
    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    India
    Description

    Analysis of ‘Latest Covid-19 India Statewise Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/anandhuh/latest-covid19-india-statewise-data on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    About

    This dataset contains latest Covid-19 India state-wise data as on January 13, 2022. This dataset can be used to analyze covid in India. This dataset is great for Exploratory Data Analysis

    Attribute Information

    1. State/UTs - Names of Indian States and Union Territories.
    2. Total Cases - Total number of confirmed cases
    3. Active - Total number of active cases
    4. Discharged - Total number of discharged cases
    5. Deaths - Total number of deaths
    6. Active Ratio (%) - Ratio of number of active cases to total cases
    7. Discharge Ratio (%) - Ratio of number of discharged cases to total cases
    8. Death Ratio (%) - Ratio of number of deaths to total cases
    9. Population - Population of State/UT

    Source

    Covid Data : https://www.mygov.in/covid-19 Population Data : https://www.indiacensus.net/

    Other Updated Covid Datasets

    https://www.kaggle.com/anandhuh/datasets Please appreciate the effort with an upvote 👍

    Thank You

    --- Original source retains full ownership of the source dataset ---

  3. India state corona dataset latest

    • kaggle.com
    zip
    Updated Apr 22, 2020
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    Deepak Rajpurohit (2020). India state corona dataset latest [Dataset]. https://www.kaggle.com/deepakrajpurohit/india-state-data-latest
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    zip(660 bytes)Available download formats
    Dataset updated
    Apr 22, 2020
    Authors
    Deepak Rajpurohit
    Area covered
    India
    Description

    Context

    India state wise latest data

  4. Latest Covid-19 India Statewise Data

    • kaggle.com
    zip
    Updated Dec 5, 2021
    + more versions
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    Anandhu H (2021). Latest Covid-19 India Statewise Data [Dataset]. https://www.kaggle.com/anandhuh/latest-covid19-india-statewise-data
    Explore at:
    zip(1444 bytes)Available download formats
    Dataset updated
    Dec 5, 2021
    Authors
    Anandhu H
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Area covered
    India
    Description

    About

    This dataset contains latest Covid-19 India state-wise data as on December 05, 2021. This dataset can be used to analyze covid in India. This dataset is great for Exploratory Data Analysis

    Attribute Information

    1. State/UTs - Names of Indian States and Union Territories.
    2. Total Cases - Total number of confirmed cases
    3. Active - Total number of active cases
    4. Discharged - Total number of discharged cases
    5. Deaths - Total number of deaths
    6. Active Ratio (%) - Ratio of number of active cases to total cases
    7. Discharge Ratio (%) - Ratio of number of discharged cases to total cases
    8. Death Ratio (%) - Ratio of number of deaths to total cases
    9. Population - Population of State/UT

    Source

    Covid Data : https://www.mygov.in/covid-19 Population Data : https://www.indiacensus.net/

    Other Updated Covid Datasets

    https://www.kaggle.com/anandhuh/datasets Please appreciate the effort with an upvote 👍

    Thank You

  5. 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.

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

    • statista.com
    Updated Oct 16, 2020
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    Statista (2020). 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/
    Explore at:
    Dataset updated
    Oct 16, 2020
    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.

  7. India Covid 19 Cases (Statewise and overall)

    • kaggle.com
    Updated Jun 17, 2020
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    rutvikbaxi (2020). India Covid 19 Cases (Statewise and overall) [Dataset]. https://www.kaggle.com/rutvikbaxi/inida-covid-19-cases-statewise-and-overall/notebooks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 17, 2020
    Dataset provided by
    Kaggle
    Authors
    rutvikbaxi
    Area covered
    India
    Description

    The following is the dataset consisting of Covid19 cases in India since 10th march on a daily basis. It also contains statewide data. It has got separate for active, total, discharged cases and deaths.

    Acknowledgements

    This dataset is built by converting the JSON file available from the opensource website https://api.rootnet.in. URL for the json datafile: https://api.rootnet.in/covid19-in/stats/history

    Inspiration

    I struggled a lot to find data in the form of csv file for doing analysis of Covid19 impact on India but I wa u unable to find any good dataset. Hence I had to spend a lot of time learning how to extract JSON files and write codes to convert that into a usable form. Hence I thought I will upload it so that in future aspiring Data analysts can have easy access to the dataset.

  8. Number of COVID-19 tests in India 2021, by state

    • statista.com
    Updated Jul 12, 2023
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    Statista (2023). Number of COVID-19 tests in India 2021, by state [Dataset]. https://www.statista.com/statistics/1111063/india-coronavirus-covid-19-testing-pre-million-by-state/
    Explore at:
    Dataset updated
    Jul 12, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    Uttar Pradesh had the highest testing for the coronavirus (COVID-19) across India as of October 17, 2021, at over 81 million tests. Sikkim ranked lowest at only 255 thousand samples tested during the same time period.

  9. COVID 19(coronavirus) India (27 th March 2020)

    • kaggle.com
    zip
    Updated Mar 27, 2020
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    Anurag (2020). COVID 19(coronavirus) India (27 th March 2020) [Dataset]. https://www.kaggle.com/anuraglahon/covid-19-india-12th-march-2020
    Explore at:
    zip(12748 bytes)Available download formats
    Dataset updated
    Mar 27, 2020
    Authors
    Anurag
    Area covered
    India
    Description

    ****Context****

    Corona Virus Indian cases state wise about Indian and Foreign Nationals. The number of person cured and death according to state wise.

    First case : Kerala Arrival date : 30 January 2020

    BSE SENSEX from the first known case of Corona virus(30th January)

    District wise cases in Each State.

    Credits Data from India Health Ministry Website: https://www.mohfw.gov.in/

  10. COVID-19 vaccine doses administered in India November 2023

    • statista.com
    Updated Dec 12, 2024
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    Statista (2024). COVID-19 vaccine doses administered in India November 2023 [Dataset]. https://www.statista.com/statistics/1222266/india-cumulative-coverage-of-covid-19-vaccine-across-india/
    Explore at:
    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The Indian state of Utter Pradesh reported the highest number of administered doses of the vaccine against the coronavirus (COVID-19) as of November 13, 2023. Furthermore, over 2.2 billion total vaccine doses were administered in India during the same time period.

    Vaccination in India were administered since January 16, 2021, with the administration of vaccines to all health care workers in the first phase. In February, the vaccination program was expanded to cover front line workers. The second phase of the program began in March which included citizens above the age of 60 and subsequently, people above the age of 45 with comorbidities. India’s vaccination program currently includes two vaccines, namely, Oxford University – AstraZeneca’s Covidshield vaccine, manufactured by the Serum Institute of India and Bharat Biotech Covaxin. Russia's Sputnik V was expected to be added to the mix starting May 2021.

  11. d

    COVID-19: Daily Cases Data

    • dataful.in
    Updated Apr 30, 2025
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    Dataful (Factly) (2025). COVID-19: Daily Cases Data [Dataset]. https://dataful.in/datasets/1311
    Explore at:
    application/x-parquet, xlsx, csvAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    COVID-19 Cases
    Description

    This Dataset contains day-wise cumulative total positive cases, active cases, recoveries and death statistics due to COVID-19 in India up to 10 June 2024

  12. Covid-19 India Statewise 2023

    • kaggle.com
    Updated Aug 7, 2023
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    Joakim Arvidsson (2023). Covid-19 India Statewise 2023 [Dataset]. https://www.kaggle.com/joebeachcapital/covid-19-india-statewise-2023/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 7, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Joakim Arvidsson
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Area covered
    India
    Description

    Latest Covid-19 status in India by state and union territory. Data is as of 06 August, 2023.

    Attributes:

    • State/UTs - Names of Indian States and Union Territories.
    • Total Cases - Total number of confirmed cases
    • Active - Total number of active cases
    • Discharged - Total number of discharged cases
    • Deaths - Total number of deaths
    • Active Ratio (%) - Ratio of number of active cases to total cases
    • Discharge Ratio (%) - Ratio of number of discharged cases to total cases
    • Death Ratio (%) - Ratio of number of deaths to total cases
    • Population - Population of State/UT
  13. Number of COVID-19 cases India 2021, by age group

    • statista.com
    Updated Mar 7, 2024
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    Statista (2024). Number of COVID-19 cases India 2021, by age group [Dataset]. https://www.statista.com/statistics/1110522/india-number-of-coronavirus-cases-by-age-group/
    Explore at:
    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    A majority of the coronavirus (COVID-19) cases in India affected people between ages 31 and 40 years as of October 18, 2021. Of these, the highest share of deaths during the measured time period was observed in people under the age of 50 years.

  14. T

    CORONAVIRUS DEATHS by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 4, 2020
    + more versions
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    TRADING ECONOMICS (2020). CORONAVIRUS DEATHS by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/coronavirus-deaths
    Explore at:
    csv, excel, xml, jsonAvailable 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 DEATHS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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

    • statista.com
    • ai-chatbox.pro
    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/
    Explore at:
    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.

  16. f

    Data from: An Agent Based Model for assessing spread and health systems...

    • figshare.com
    xlsx
    Updated Nov 9, 2021
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    M.S. Narassima; Anbuudayasankar SP; Guru Rajesh Jammy; Rashmi Pant; Lincoln Choudhury; Aadharsh R.; Denny John (2021). An Agent Based Model for assessing spread and health systems burden for Covid-19 using a synthetic population in Rangareddy district, Telangana state, India [Dataset]. http://doi.org/10.6084/m9.figshare.16960201.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Nov 9, 2021
    Dataset provided by
    figshare
    Authors
    M.S. Narassima; Anbuudayasankar SP; Guru Rajesh Jammy; Rashmi Pant; Lincoln Choudhury; Aadharsh R.; Denny John
    License

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

    Area covered
    Rangareddy, Telangana, India
    Description

    Detailed output (age-wise), AnyLogic model file, synthetic population, and input spreadsheet have been provided in the attached files.

  17. COVID-19 cases worldwide as of May 2, 2023, by country or territory

    • statista.com
    • ai-chatbox.pro
    Updated Aug 29, 2023
    + more versions
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    Statista (2023). COVID-19 cases worldwide as of May 2, 2023, by country or territory [Dataset]. https://www.statista.com/statistics/1043366/novel-coronavirus-2019ncov-cases-worldwide-by-country/
    Explore at:
    Dataset updated
    Aug 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had been confirmed in almost every country in the world. The virus had infected over 687 million people worldwide, and the number of deaths had reached almost 6.87 million. The most severely affected countries include the U.S., India, and Brazil.

    COVID-19: background information COVID-19 is a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. The virus is highly transmissible and coughing and sneezing are the most common forms of transmission, which is similar to the outbreak of the SARS coronavirus that began in 2002 and was thought to have spread via cough and sneeze droplets expelled into the air by infected persons.

    Naming the coronavirus disease Coronaviruses are a group of viruses that can be transmitted between animals and people, causing illnesses that may range from the common cold to more severe respiratory syndromes. In February 2020, the International Committee on Taxonomy of Viruses and the World Health Organization announced official names for both the virus and the disease it causes: SARS-CoV-2 and COVID-19, respectively. The name of the disease is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged.

  18. Latest COVID-19 India Statewise Vaccine Data

    • kaggle.com
    zip
    Updated Aug 9, 2022
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    Anandhu H (2022). Latest COVID-19 India Statewise Vaccine Data [Dataset]. https://www.kaggle.com/anandhuh/covid19-india-statewise-vaccine-data
    Explore at:
    zip(1238 bytes)Available download formats
    Dataset updated
    Aug 9, 2022
    Authors
    Anandhu H
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Area covered
    India
    Description

    Content

    Covid-19 Vaccine data from all the states and union territories of India as on August 09, 2022.

    Attribute Information

    State/UTs - Names of states and union territories of India Total Vaccination Doses- Total number of vaccine doses given Dose 1 - Number of first dose of vaccine given Dose 2 - Number of second dose of vaccine given Population - Population of the state/UT

    Source

    Vaccine Data : https://www.mygov.in/covid-19 Population Data : https://www.indiacensus.net/

    Other Updated Covid19 Datasets

    https://www.kaggle.com/anandhuh/datasets

    If you find it useful, please support by upvoting 👍

    Thank You

  19. India GDP Loss During COVID-19

    • kaggle.com
    Updated Apr 13, 2025
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    Khushi Yadav (2025). India GDP Loss During COVID-19 [Dataset]. https://www.kaggle.com/datasets/khushikyad001/india-gdp-loss-during-covid-19/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 13, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Khushi Yadav
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    India
    Description

    This dataset simulates the economic impact of the COVID-19 pandemic on India's GDP across various sectors and states from 2019 to 2022. It includes realistic variations in GDP before and during the pandemic, along with key economic indicators like unemployment, migration, inflation, and vaccination rate.

    Although the data is synthetic, it follows realistic patterns inspired by publicly available economic and government reports.

    Key features:

    State-wise and sector-wise granularity

    Time-series data spanning 48 months (2019–2022)

    Simulated recovery metrics post-COVID

    Useful for economic forecasting, ML modeling, policy simulations, and dashboards

  20. COVID-19 deaths worldwide as of May 2, 2023, by country and territory

    • statista.com
    • ai-chatbox.pro
    Updated May 22, 2024
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    Statista (2024). COVID-19 deaths worldwide as of May 2, 2023, by country and territory [Dataset]. https://www.statista.com/statistics/1093256/novel-coronavirus-2019ncov-deaths-worldwide-by-country/
    Explore at:
    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2, 2023
    Area covered
    Worldwide
    Description

    As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had spread to almost every country in the world, and more than 6.86 million people had died after contracting the respiratory virus. Over 1.16 million of these deaths occurred in the United States.

    Waves of infections Almost every country and territory worldwide have been affected by the COVID-19 disease. At the end of 2021 the virus was once again circulating at very high rates, even in countries with relatively high vaccination rates such as the United States and Germany. As rates of new infections increased, some countries in Europe, like Germany and Austria, tightened restrictions once again, specifically targeting those who were not yet vaccinated. However, by spring 2022, rates of new infections had decreased in many countries and restrictions were once again lifted.

    What are the symptoms of the virus? It can take up to 14 days for symptoms of the illness to start being noticed. The most commonly reported symptoms are a fever and a dry cough, leading to shortness of breath. The early symptoms are similar to other common viruses such as the common cold and flu. These illnesses spread more during cold months, but there is no conclusive evidence to suggest that temperature impacts the spread of the SARS-CoV-2 virus. Medical advice should be sought if you are experiencing any of these symptoms.

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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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COVID-19 cases in Indian states 2023, by type

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16 scholarly articles cite this dataset (View in Google Scholar)
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.

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