7 datasets found
  1. Guidance for market authorization requirements for COVID-19 vaccines:...

    • open.canada.ca
    • datasets.ai
    • +1more
    html
    Updated Jul 28, 2022
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    Health Canada (2022). Guidance for market authorization requirements for COVID-19 vaccines: Overview [Dataset]. https://open.canada.ca/data/info/9967d00f-1681-41e3-869e-442975c2b901
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    htmlAvailable download formats
    Dataset updated
    Jul 28, 2022
    Dataset provided by
    Health Canadahttp://www.hc-sc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This document provides guidance to vaccine manufacturers seeking authorization for their vaccine that targets the SARS-CoV-2 virus. This guidance applies to applications under the interim order respecting the importation, sale and advertising of drugs for use in relation to COVID-19.

  2. Drug and vaccine authorizations for COVID-19: Overview

    • datasets.ai
    • open.canada.ca
    21
    Updated Aug 26, 2021
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    Health Canada | Santé Canada (2021). Drug and vaccine authorizations for COVID-19: Overview [Dataset]. https://datasets.ai/datasets/6389ea33-e025-4e23-8b02-e743157ccf22
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    21Available download formats
    Dataset updated
    Aug 26, 2021
    Dataset provided by
    Health Canadahttp://www.hc-sc.gc.ca/
    Authors
    Health Canada | Santé Canada
    Description

    When a company decides it would like to sell a drug or vaccine in Canada, it files a submission with Health Canada. A new drug submission contains detailed scientific information about the drug's safety, efficacy and quality. Health Canada scientific reviewers evaluate data to assess the potential benefits and risks of a drug or vaccine. They also review the information that will be provided to health care practitioners and consumers about the product. After the review, we may authorize the drug or vaccine for sale in Canada only if the benefits of the product outweigh the potential risks.

  3. d

    COVID-19 reopening data from AP and Kantar

    • data.world
    csv, zip
    Updated May 20, 2024
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    The Associated Press (2024). COVID-19 reopening data from AP and Kantar [Dataset]. https://data.world/associatedpress/ap-planner-covid-reopening-data
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    csv, zipAvailable download formats
    Dataset updated
    May 20, 2024
    Authors
    The Associated Press
    Time period covered
    Jul 31, 2021 - Sep 13, 2021
    Description

    COVID-19 Reopening Data from Associated Press and Kantar Media

    Access regularly updated data from The Associated Press and Kantar Media containing information on events at the global, national and state levels as economies reopen following the coronavirus pandemic via AP Planner.

    AP Planner is a paid service from The Associated Press & Kantar Media.

    The four data files below feature the following event types:

    • Environmental, Social and Governance (ESG): Events related the factors that measure the sustainability and societal impact of an investment in a company or business.
    • Healthcare, Pharmaceuticals and Bio Tech: Health care providers and services, health care equipment and supplies, and health care technology companies. Drug and vaccine production, as well as biological substances for the purposes of drug discovery and diagnostic development.
    • Politics: U.S. political news and events.
    • Diversity and Discrimination: News and events related to race, religion, gender, sexuality, disability and age.

    All data is compiled by a dedicated staff with over 15 years of forward planning research experience, employing data verification and processes designed to provide reliable and up-to-date information.

    The data can be used to help:

    • Provide signals to investors on how to act and at what speed based on the types of events returning across industries.
    • Analyze risk associated with companies based on when they're reopening.
    • Retain your own customer base based on reopening dates for vendors and competitors.
    • Track COVID regulations to prepare inventory and guest policies.

    The following data files are samples - if you are interested in licensing the full, regularly updated database, please contact Opal Barclay (obarclay@ap.org) at The Associated Press or Click on Request Access Button above.

    ***

    FAQs

    Why does AP and Kantar compile this data?_ The data is sourced from AP Planner, a product offered by The Associated Press and Kantar Media. AP Planner is a searchable database of future events that is updated daily and intended for research, not publication.

    What information does AP Planner contain?_ AP Planner is global in scope and contains more than 100,000 U.S. and international events from the world of news, current affairs, politics, business, lifestyle and more - all searchable up to 12 months ahead.

    Where does the information come from?_ AP Planner aggregates listings from tens of thousands of organizations worldwide. Our research staff monitors over 350,000 websites and uses a verity of secondary sources including press releases, corporate announcements and other outlets to ensure accuracy.

    How can I be confident of the data's quality and accuracy?_ We have a dedicated research staff with over 15 years of forward planning research experience. They employ data verification and updating processes designed to provide our customers with completely reliable and up-to-date information.

    Can I export data into other applications?_ Yes, AP Planner data can be exported as an Excel file or an Outlook calendar file. The data is also accessible via API.

    Who can I contact to learn more about AP Planner?_ Opal Barclay, obarclay@ap.org.

  4. Adverse Drug Effects (ADE) Detection

    • kaggle.com
    zip
    Updated Oct 8, 2025
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    Sai Kiran Udayana (2025). Adverse Drug Effects (ADE) Detection [Dataset]. https://www.kaggle.com/datasets/saikiranudayana/adverse-drug-effects-ade-detection
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    zip(774335826 bytes)Available download formats
    Dataset updated
    Oct 8, 2025
    Authors
    Sai Kiran Udayana
    License

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

    Description

    💉 COVID-19 Vaccine Adverse Events (2020-2025): VAERS Real-World Surveillance Data This dataset offers a critical, large-scale look into the real-world safety surveillance of COVID-19 vaccines, sourced from the Vaccine Adverse Event Reporting System (VAERS). Maintained by the CDC and FDA, this collection spans the unprecedented period of mass vaccination from 2020 through 2025, providing an invaluable resource for pharmacovigilance, public health research, and regulatory decision-making.

    Key Features & Challenge The dataset is a rich blend of structured and unstructured information detailing reported Adverse Drug Events (ADEs), which range from mild local reactions to severe, life-threatening complications.

    Structured Data: Includes standardized symptom codes, offering a direct, quantitative view of reported reactions.

    Free-Text Notes: Contains verbose, real-world symptom descriptions provided by reporters. This text is a "treasure trove" of granular context, including details on duration, intensity, and location of symptoms.

    The Challenge: The structured entries are limited in scope. The free-text notes, while rich, are inherently noisy and lack standardized metadata such as clinical severity scores or age-specific pattern normalization.

    Value to Data Scientists This dataset presents a significant Natural Language Processing (NLP) and Machine Learning (ML) challenge:

    Extracting Context: Develop models to effectively extract critical clinical context (e.g., "headache lasting three days, severe") from the raw, non-standardized free-text notes.

    Standardizing Severity: Create predictive models to assign standardized severity and age-specific risk patterns to ADEs.

    Informed Decision Making: The ultimate goal is to generate actionable, timely insights for regulators, healthcare providers, and pharmaceutical companies, improving both vaccine safety monitoring and public trust.

    Dive into this dataset to apply your skills in advanced data cleaning, feature engineering, and state-of-the-art NLP to solve a crucial, high-impact public health challenge.

  5. Factors associated with COVID-19 vaccine acceptance among participants.

    • plos.figshare.com
    xls
    Updated Mar 18, 2025
    + more versions
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    Hannah Benedicta Taylor-Abdulai; Edem Kojo Dzantor; Nathan Kumasenu Mensah; Mubarick Nungbaso Asumah; Stephen Ocansey; Samuel Kofi Arhin; Precious Barnes; Victor Obiri Opoku; Zakariah Jirimah Mankir; Sylvester Ackah Famieh; Collins Paa Kwesi Botchey (2025). Factors associated with COVID-19 vaccine acceptance among participants. [Dataset]. http://doi.org/10.1371/journal.pone.0319798.t005
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    xlsAvailable download formats
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hannah Benedicta Taylor-Abdulai; Edem Kojo Dzantor; Nathan Kumasenu Mensah; Mubarick Nungbaso Asumah; Stephen Ocansey; Samuel Kofi Arhin; Precious Barnes; Victor Obiri Opoku; Zakariah Jirimah Mankir; Sylvester Ackah Famieh; Collins Paa Kwesi Botchey
    License

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

    Description

    Factors associated with COVID-19 vaccine acceptance among participants.

  6. Socio-demographic characteristics and distribution of COVID-19 vaccine...

    • plos.figshare.com
    xls
    Updated Mar 18, 2025
    + more versions
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    Hannah Benedicta Taylor-Abdulai; Edem Kojo Dzantor; Nathan Kumasenu Mensah; Mubarick Nungbaso Asumah; Stephen Ocansey; Samuel Kofi Arhin; Precious Barnes; Victor Obiri Opoku; Zakariah Jirimah Mankir; Sylvester Ackah Famieh; Collins Paa Kwesi Botchey (2025). Socio-demographic characteristics and distribution of COVID-19 vaccine acceptance (n = 377). [Dataset]. http://doi.org/10.1371/journal.pone.0319798.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hannah Benedicta Taylor-Abdulai; Edem Kojo Dzantor; Nathan Kumasenu Mensah; Mubarick Nungbaso Asumah; Stephen Ocansey; Samuel Kofi Arhin; Precious Barnes; Victor Obiri Opoku; Zakariah Jirimah Mankir; Sylvester Ackah Famieh; Collins Paa Kwesi Botchey
    License

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

    Description

    Socio-demographic characteristics and distribution of COVID-19 vaccine acceptance (n = 377).

  7. Table_1_Vaccine hesitancy and related factors among South African adults in...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Nov 3, 2023
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    Ronel Sewpaul; Sibusiso Sifunda; Razia Gaida; Tholang Mokhele; Inbarani Naidoo; Sasiragha Priscilla Reddy (2023). Table_1_Vaccine hesitancy and related factors among South African adults in 2021: unpacking uncertainty versus unwillingness.DOCX [Dataset]. http://doi.org/10.3389/fpubh.2023.1233031.s001
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    docxAvailable download formats
    Dataset updated
    Nov 3, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Ronel Sewpaul; Sibusiso Sifunda; Razia Gaida; Tholang Mokhele; Inbarani Naidoo; Sasiragha Priscilla Reddy
    License

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

    Area covered
    South Africa
    Description

    BackgroundAmidst widespread public health recommendations and availability of COVID-19 vaccinations, half of South African adults are vaccinated against COVID-19. This study investigated the socio-behavioral determinants of vaccine hesitancy in South Africa, where vaccine hesitancy was separated into unwilling ness and uncertainty to take a COVID-19 vaccine.MethodsData was collected from a large-scale public survey during June–October 2021 that included online and telephonic surveys. Vaccination hesitancy was based on the question “When available, would you take the COVID 19 vaccine?,” with responses categorized into those who were willing, unwilling, and uncertain about taking a COVID-19 vaccine. Multinomial regression examined the association between socio-behavioral variables and vaccine hesitancy.ResultsOverall, 73.8% reported they would definitely or probably take the vaccine, 16.4% were uncertain and 9.9% reported they probably or definitely would not (n = 16,988). Younger age, White and Colored population groups, no influenza vaccination history, previous vaccination refusal, knowing someone who experienced a serious vaccination side-effect, misperceptions about vaccine benefits, cultural or religious discouragement from taking a COVID-19 vaccination, lack of governmental confidence, concerns about side-effects, perceived lack of safety information, and lack of trust in the pharmaceutical industry and in the information from health care providers were all associated with higher odds of being uncertain and unwilling to take a COVID-19 vaccination. Strengths of association for unwillingness and uncertainty varied by the explanatory variables. Concern about effectiveness due to fast development was associated with uncertainty to take the vaccine but not with unwillingness. Concerns about side-effects had stronger associations with uncertainty than with unwillingness, while previous vaccine refusal, misperceptions of the protective benefits of vaccines, White population group, religious/cultural discouragement, and lack of trust in the pharmaceutical industry and health care providers’ information had stronger associations with unwillingness than uncertainty.ConclusionThe determinants of COVID-19 vaccine hesitancy should be addressed in interventions to improve vaccine uptake. Public health interventions and health communication can be prioritized and tailored to the different forms of vaccination hesitancy.

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Health Canada (2022). Guidance for market authorization requirements for COVID-19 vaccines: Overview [Dataset]. https://open.canada.ca/data/info/9967d00f-1681-41e3-869e-442975c2b901
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Guidance for market authorization requirements for COVID-19 vaccines: Overview

Explore at:
htmlAvailable download formats
Dataset updated
Jul 28, 2022
Dataset provided by
Health Canadahttp://www.hc-sc.gc.ca/
License

Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically

Description

This document provides guidance to vaccine manufacturers seeking authorization for their vaccine that targets the SARS-CoV-2 virus. This guidance applies to applications under the interim order respecting the importation, sale and advertising of drugs for use in relation to COVID-19.

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