8 datasets found
  1. COVID-19 Vaccinations India

    • kaggle.com
    zip
    Updated Jun 24, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mihir Thakur (2021). COVID-19 Vaccinations India [Dataset]. https://www.kaggle.com/mihir27/covid19-vaccinations-india
    Explore at:
    zip(7714 bytes)Available download formats
    Dataset updated
    Jun 24, 2021
    Authors
    Mihir Thakur
    License

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

    Area covered
    India
    Description

    Context

    • First case of COVID-19 in India was announced on 27th January 2020 in Thrissur Kerala. After October 2020, there was some relief due to the subsiding of the curve of the covid case.
    • In January 2020, the Government of India approved two vaccines i.e. Astra-Zeneca's Vaccine produced by Serum Institute - Covidsheild and Bharat Biotech's indigenous vaccine - Covaxin.
    • This dataset deals with these vaccinations in India and provides insights into them. The two files provide information about daily COVID-19 vaccinations throughout the country and total vaccinations in each state.
    • The data was collected from Our World in Data Github repo for covid-19 and Government of India website containing Vaccinations State Data, merged with relevant attributes, and uploaded.
    • Government of India also approved Russia's Sputnik V for emergency use authorization on 12th April 2021.

    Content

    Covid-19_India_Daywise_Vaccinations.csv

    Columns: - location- Location of the vaccination(country). - date- Date in format dd-mm-yyyy. - vaccine- Name of the vaccine(s) administered in the country on that day. - source_url- Source of the information for the vaccination. - total-vaccinations- Total number of doses administered till that day. If a person receives one dose of the vaccine, this metric goes up by 1. If they receive a second dose, it goes up by 1 again. - total_vaccinations_per_hundred- total_vaccinations per 100 people in the total population. - people_vaccinated- Total number of people who received at least one vaccine dose. If a person receives the first dose of a 2-dose vaccine, this metric goes up by 1. If they receive the second dose, the metric stays the same. - people_vaccinated_per_hundred- people_vaccinated per 100 people in the total population. - people_fully_vaccinated- Total number of people who received all doses prescribed by the vaccination protocol. If a person receives the first dose of a 2-dose vaccine, this metric stays the same. If they receive the second dose, the metric goes up by 1. - people_fully_vaccinated_per_hundred- people_fully_vaccinated per 100 people in the total population. - daily_vaccinations- New doses administered per day. - daily_vaccinations_per_million- daily_vaccinations per 1,000,000 people in the total population. - daily_change_in_vaccinations- Change in the number of doses administered (daily_vaccinations) from the previous day.

    Covid-19_Statewise_Vaccination_India.csv

    Columns: - State/Union Territory- Name of the State or Union Territory. - Population (2011 census)- Population of the State/UT based on 2011 census. - 1st dose- Number of first doses that were administered. - 2nd dose- Number of second doses that were administered. - Cumulative doses administered- Total number of doses administered till date. - Percentage of people given atleast one dose- Percent of the population of the state. - Percentage of people fully vaccinated- Percent of the population of the state.

    Acknowledgements

    I like to specify that I am only making available to Kagglers the data that is produced and maintained by Our World in Data through their Github repo, and also the Ministry of Health and Family Welfare Government of India which provide daily vaccine stats through their website. - Our World in Data Github Repo - Ministry of Health and Family Welfare Government of India

    Inspiration

    From this data, what you could do is: - Visualisations about the daily vaccination trends in the country. - Which state has the fastest pace in vaccination? - Prediction of future daily vaccinations in the country.

  2. Covid-19 Vaccine by Developmental Phase

    • kaggle.com
    zip
    Updated Nov 10, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Marília Prata (2020). Covid-19 Vaccine by Developmental Phase [Dataset]. https://www.kaggle.com/mpwolke/cusersmarildownloads22325jpeg
    Explore at:
    zip(235389 bytes)Available download formats
    Dataset updated
    Nov 10, 2020
    Authors
    Marília Prata
    Description

    Context

    Yesterday, hopes soared that an end to the pandemic may finally be in sight after an interim analysis showed Pfizer/BioNTech's vaccine candidate provided 90 percent protection in trials. It performed much better than experts had hoped for and manufacturing has already started with Pfizer stating it hopes to supply 50 million doses in 2020 and 1.3 billion doses in 2021. Pfizer chairman and chief executive Albert Bourla said that “Today is a great day for science and humanity. The first set of results from our phase 3 Covid-19 vaccine trial provides the initial evidence of our vaccine’s ability to prevent Covid-19,” adding that “we are reaching this critical milestone in our vaccine development programme at a time when the world needs it most with infection rates setting new records, hospitals nearing over-capacity and economies struggling to reopen.”

    The rush to develop a Covid-19 vaccine has gained traction in recent months and a representative from the Russian health ministry also claimed the country's Sputnik V is up to 90 percent effective. Great hopes have also been pinned on a coronavirus vaccine candidate being developed by the University of Oxford that successfully triggered a strong immune response in trials involving 1,077 people. Scientific journal The Lancet had published hugely promising results of Phase I/II trials in July for the University of Oxford vaccine and it provoked a T cell response within 14 days of vaccination and an antibody response within 28 days.

    https://www.statista.com/chart/22325/number-of-covid-19-vaccine-candidates/

    Content

    Vaccines generally take years to develop but candidates are now being developed at an unprecedented pace. Nearly 200 Covid-19 vaccine candidates are now listed by the World Health Organization, according to The Guardian and several are already in advanced testing. The data shows that the bulk of candidates are in the pre-clinical stage of testing where the vaccine is given to animals to see if it triggers an immune response. 39 are in phase I trials where it is administered to a small group of people to determine whether it is safe. 18 are in phase II where the candidate is given to hundreds of people to evaluate further safety issues as well as dosage. The last stage is Phase III, of which 11 candidates are currently in, and it involves thousands of people receiving the vaccine to eliminate any final safety fears, particularly considering side effects.

    Acknowledgements

    Niall McCarthy, Data Journalist. https://www.statista.com/chart/22325/number-of-covid-19-vaccine-candidates/

    Inspiration

    Covid-19

  3. f

    Table_7_SARS-CoV-2 Vaccination and Protection Against Clinical Disease: A...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Jan 18, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fenollar, Florence; Colson, Philippe; Houhamdi, Linda; Tissot-Dupont, Hervé; Chaudet, Hervé; Fournier, Pierre-Edouard; Million, Matthieu; Lagier, Jean-Christophe; Delorme, Lea; Giraud-Gatineau, Audrey; Cassagne, Carole; Cortaredona, Sébastien; Raoult, Didier (2022). Table_7_SARS-CoV-2 Vaccination and Protection Against Clinical Disease: A Retrospective Study, Bouches-du-Rhône District, Southern France, 2021.pdf [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000296852
    Explore at:
    Dataset updated
    Jan 18, 2022
    Authors
    Fenollar, Florence; Colson, Philippe; Houhamdi, Linda; Tissot-Dupont, Hervé; Chaudet, Hervé; Fournier, Pierre-Edouard; Million, Matthieu; Lagier, Jean-Christophe; Delorme, Lea; Giraud-Gatineau, Audrey; Cassagne, Carole; Cortaredona, Sébastien; Raoult, Didier
    Area covered
    Southern France, Bouches-du-Rhone
    Description

    From January 18th to August 13th, 2021, 13,804 unvaccinated and 1,156 patients who had received at least one COVID-19 vaccine dose were tested qPCR-positive for SARS-CoV-2 in our center. Among vaccinated patients, 949, 205 and 2 had received a single, two or three vaccine doses, respectively. Most patients (80.3%) had received the Pfizer-BioNTech vaccine. The SARS-CoV-2 variants infecting vaccinated patients varied over time, reflecting those circulating in the Marseille area, with a predominance of the Marseille-4/20A.EU2 variant from weeks 3 to 6, of the Alpha/20I variant from weeks 7 to 25, and of the Delta/21A variant from week 26. SARS-CoV-2 infection was significantly more likely to occur in the first 13 days post-vaccine injection in those who received a single dose (48.9%) than two doses (27.4%, p< 10–3). Among 161 patients considered as fully vaccinated, i.e., >14 days after the completion of the vaccinal scheme (one dose for Johnson and Johnson and two doses for Pfizer/BioNTech, Moderna and Sputnik vaccines), 10 (6.2%) required hospitalization and four (2.5%) died. Risks of complications increased with age in a nonlinear pattern, with a first breakpoint at 54, 33, and 53 years for death, transfer to ICU, and hospitalization, respectively. Among patients infected by the Delta/21A or Alpha/20I variants, partial or complete vaccination exhibited a protective effect with a risk divided by 3.1 for mortality in patients ≥ 55 years, by 2.8 for ICU transfer in patients ≥ 34 years, and by 1.8 for hospitalization in patients ≥ 54 years. Compared to partial vaccination, complete vaccination provided an even stronger protective effect, confirming effectiveness to prevent severe forms of COVID-19.

  4. COVID19 & Vaccination

    • kaggle.com
    zip
    Updated Feb 20, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Rodrigue Kalash (2022). COVID19 & Vaccination [Dataset]. https://www.kaggle.com/rodriguekalash/covid19-vaccination-symptoms
    Explore at:
    zip(2029 bytes)Available download formats
    Dataset updated
    Feb 20, 2022
    Authors
    Rodrigue Kalash
    Description

    Infected in year: 1-2019 2-2020 3-2021

    Infections: 1- Yes 2- No 3-I don't Know

    Symptoms: 1-Fever , headache, muscle pain 2-Lost of taste and smell 3-Nausea, vomiting, diarrhea 4-Nothing

    Vaccine: 1-Pfizer-Biontech 2-AstraZeneca 3-Moderna 4-SinoVac 5-Sputnik V 6-Johnson & Johnson Janssen 7- Null = Not Vaccinated

    Number of doses: a- 1 b- 2 c- 3 d- mix

    Symptoms after vaccination: 1-Nothing 2-Mild 3-Moderate 4-Sever

  5. The efficacy of the vaccines against symptomatic, severe, and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 8, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mohamed Hadi Mohamed Abdelhamid; Iman Amin Almsellati; Badereddin B. Annajar; Alaa.H Abdulhamid; Hafsa Alemam; Mohammed Etikar (2023). The efficacy of the vaccines against symptomatic, severe, and hospitalization SARS-CoV-2 infection. [Dataset]. http://doi.org/10.1371/journal.pone.0276425.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mohamed Hadi Mohamed Abdelhamid; Iman Amin Almsellati; Badereddin B. Annajar; Alaa.H Abdulhamid; Hafsa Alemam; Mohammed Etikar
    License

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

    Description

    The efficacy of the vaccines against symptomatic, severe, and hospitalization SARS-CoV-2 infection.

  6. f

    Table_1_Effectiveness and Waning of Protection With Different SARS-CoV-2...

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    Updated Jul 22, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Surján, György; Kenessey, István; Bogos, Krisztina; Vokó, Zoltán; Müller, Veronika; Molnár, Gergő Attila; Rokszin, György; Pálosi, Mihály; Kiss, Zoltán; Wéber, András; Surján, Orsolya; Szekanecz, Zoltán; Wittmann, István; Szlávik, János; Nagy, Péter; Müller, Cecília; Polivka, Lőrinc; Nagy, Dávid; Kásler, Miklós; Barcza, Zsófia (2022). Table_1_Effectiveness and Waning of Protection With Different SARS-CoV-2 Primary and Booster Vaccines During the Delta Pandemic Wave in 2021 in Hungary (HUN-VE 3 Study).docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000308557
    Explore at:
    Dataset updated
    Jul 22, 2022
    Authors
    Surján, György; Kenessey, István; Bogos, Krisztina; Vokó, Zoltán; Müller, Veronika; Molnár, Gergő Attila; Rokszin, György; Pálosi, Mihály; Kiss, Zoltán; Wéber, András; Surján, Orsolya; Szekanecz, Zoltán; Wittmann, István; Szlávik, János; Nagy, Péter; Müller, Cecília; Polivka, Lőrinc; Nagy, Dávid; Kásler, Miklós; Barcza, Zsófia
    Area covered
    Hungary
    Description

    BackgroundIn late 2021, the pandemic wave was dominated by the Delta SARS-CoV-2 variant in Hungary. Booster vaccines were offered for the vulnerable population starting from August 2021.MethodsThe nationwide HUN-VE 3 study examined the effectiveness and durability of primary immunization and single booster vaccinations in the prevention of SARS-CoV-2 infection, Covid-19 related hospitalization and mortality during the Delta wave, compared to an unvaccinated control population without prior SARS-CoV-2 infection.ResultsThe study population included 8,087,988 individuals who were 18–100 years old at the beginning of the pandemic. During the Delta wave, after adjusting for age, sex, calendar day, and chronic diseases, vaccine effectiveness (VE) of primary vaccination against registered SARS-CoV-2 infection was between 11% to 77% and 18% to 79% 14–120 days after primary immunization in the 16–64 and 65–100 years age cohort respectively, while it decreased to close to zero in the younger age group and around 40% or somewhat less in the elderly after 6 months for almost all vaccine types. In the population aged 65–100 years, we found high, 88.1%–92.5% adjusted effectiveness against Covid-19 infection after the Pfizer-BioNTech, and 92.2%–95.6% after the Moderna booster dose, while Sinopharm and Janssen booster doses provided 26.5%–75.3% and 72.9%–100.0% adjusted VE, respectively. Adjusted VE against Covid-19 related hospitalization was high within 14–120 days for Pfizer-BioNTech: 76.6%, Moderna: 83.8%, Sputnik-V: 78.3%, AstraZeneca: 73.8%, while modest for Sinopharm: 45.7% and Janssen: 26.4%. The waning of protection against Covid-19 related hospitalization was modest and booster vaccination with mRNA vaccines or the Janssen vaccine increased adjusted VE up to almost 100%, while the Sinopharm booster dose proved to be less effective. VE against Covid-19 related death after primary immunization was high or moderate: for Pfizer-BioNTech: 81.5%, Moderna: 93.2%, Sputnik-V: 100.0%, AstraZeneca: 84.8%, Sinopharm: 58.6%, Janssen: 53.3%). VE against this outcome also showed a moderate decline over time, while booster vaccine types restored effectiveness up to almost 100%, except for the Sinopharm booster.ConclusionsThe HUN-VE 3 study demonstrated waning VE with all vaccine types for all examined outcomes during the Delta wave and confirmed the outstanding benefit of booster vaccination with the mRNA or Janssen vaccines, and this is the first study to provide clear and comparable effectiveness results for six different vaccine types after primary immunization against severe during the Delta pandemic wave.

  7. Numbers of patients who were admitted to healthcare centers or hospitals...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mohamed Hadi Mohamed Abdelhamid; Iman Amin Almsellati; Badereddin B. Annajar; Alaa.H Abdulhamid; Hafsa Alemam; Mohammed Etikar (2023). Numbers of patients who were admitted to healthcare centers or hospitals after receiving one dose of vaccine in Libya. [Dataset]. http://doi.org/10.1371/journal.pone.0276425.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mohamed Hadi Mohamed Abdelhamid; Iman Amin Almsellati; Badereddin B. Annajar; Alaa.H Abdulhamid; Hafsa Alemam; Mohammed Etikar
    License

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

    Area covered
    Libya
    Description

    N: Number DM: Diabetic HT: Hypertension CoronaVac: Sinovac Astra: Oxford/AstraZeneca SputV: Sputnik v (-) = Data not available.

  8. Immunogenicity assessment groups based on the primary and booster...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Sep 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Rima Moghnieh; Wajdi Haddad; Nayla Jbeily; Salam El-Hassan; Shadi Eid; Hicham Baba; Marilyne Sily; Yara Saber; Dania Abdallah; Abdul Rahman Bizri; Mohamed H. Sayegh (2024). Immunogenicity assessment groups based on the primary and booster vaccination schemes and timeframe from the second or booster dose. [Dataset]. http://doi.org/10.1371/journal.pone.0306457.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Sep 13, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Rima Moghnieh; Wajdi Haddad; Nayla Jbeily; Salam El-Hassan; Shadi Eid; Hicham Baba; Marilyne Sily; Yara Saber; Dania Abdallah; Abdul Rahman Bizri; Mohamed H. Sayegh
    License

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

    Description

    Immunogenicity assessment groups based on the primary and booster vaccination schemes and timeframe from the second or booster dose.

  9. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Mihir Thakur (2021). COVID-19 Vaccinations India [Dataset]. https://www.kaggle.com/mihir27/covid19-vaccinations-india
Organization logo

COVID-19 Vaccinations India

Daily and Statewise Covid-19 Vaccinations in India

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
zip(7714 bytes)Available download formats
Dataset updated
Jun 24, 2021
Authors
Mihir Thakur
License

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

Area covered
India
Description

Context

  • First case of COVID-19 in India was announced on 27th January 2020 in Thrissur Kerala. After October 2020, there was some relief due to the subsiding of the curve of the covid case.
  • In January 2020, the Government of India approved two vaccines i.e. Astra-Zeneca's Vaccine produced by Serum Institute - Covidsheild and Bharat Biotech's indigenous vaccine - Covaxin.
  • This dataset deals with these vaccinations in India and provides insights into them. The two files provide information about daily COVID-19 vaccinations throughout the country and total vaccinations in each state.
  • The data was collected from Our World in Data Github repo for covid-19 and Government of India website containing Vaccinations State Data, merged with relevant attributes, and uploaded.
  • Government of India also approved Russia's Sputnik V for emergency use authorization on 12th April 2021.

Content

Covid-19_India_Daywise_Vaccinations.csv

Columns: - location- Location of the vaccination(country). - date- Date in format dd-mm-yyyy. - vaccine- Name of the vaccine(s) administered in the country on that day. - source_url- Source of the information for the vaccination. - total-vaccinations- Total number of doses administered till that day. If a person receives one dose of the vaccine, this metric goes up by 1. If they receive a second dose, it goes up by 1 again. - total_vaccinations_per_hundred- total_vaccinations per 100 people in the total population. - people_vaccinated- Total number of people who received at least one vaccine dose. If a person receives the first dose of a 2-dose vaccine, this metric goes up by 1. If they receive the second dose, the metric stays the same. - people_vaccinated_per_hundred- people_vaccinated per 100 people in the total population. - people_fully_vaccinated- Total number of people who received all doses prescribed by the vaccination protocol. If a person receives the first dose of a 2-dose vaccine, this metric stays the same. If they receive the second dose, the metric goes up by 1. - people_fully_vaccinated_per_hundred- people_fully_vaccinated per 100 people in the total population. - daily_vaccinations- New doses administered per day. - daily_vaccinations_per_million- daily_vaccinations per 1,000,000 people in the total population. - daily_change_in_vaccinations- Change in the number of doses administered (daily_vaccinations) from the previous day.

Covid-19_Statewise_Vaccination_India.csv

Columns: - State/Union Territory- Name of the State or Union Territory. - Population (2011 census)- Population of the State/UT based on 2011 census. - 1st dose- Number of first doses that were administered. - 2nd dose- Number of second doses that were administered. - Cumulative doses administered- Total number of doses administered till date. - Percentage of people given atleast one dose- Percent of the population of the state. - Percentage of people fully vaccinated- Percent of the population of the state.

Acknowledgements

I like to specify that I am only making available to Kagglers the data that is produced and maintained by Our World in Data through their Github repo, and also the Ministry of Health and Family Welfare Government of India which provide daily vaccine stats through their website. - Our World in Data Github Repo - Ministry of Health and Family Welfare Government of India

Inspiration

From this data, what you could do is: - Visualisations about the daily vaccination trends in the country. - Which state has the fastest pace in vaccination? - Prediction of future daily vaccinations in the country.

Search
Clear search
Close search
Google apps
Main menu