21 datasets found
  1. D

    Archive: COVID-19 Vaccination and Case Trends by Age Group, United States

    • data.cdc.gov
    • healthdata.gov
    • +2more
    csv, xlsx, xml
    Updated Oct 14, 2022
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    IISInfo (2022). Archive: COVID-19 Vaccination and Case Trends by Age Group, United States [Dataset]. https://data.cdc.gov/Vaccinations/Archive-COVID-19-Vaccination-and-Case-Trends-by-Ag/gxj9-t96f
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    xlsx, xml, csvAvailable download formats
    Dataset updated
    Oct 14, 2022
    Dataset authored and provided by
    IISInfo
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    After October 13, 2022, this dataset will no longer be updated as the related CDC COVID Data Tracker site was retired on October 13, 2022.

    This dataset contains historical trends in vaccinations and cases by age group, at the US national level. Data is stratified by at least one dose and fully vaccinated. Data also represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.

  2. O

    COVID-19 Vaccinations by Race/Ethnicity - ARCHIVE

    • data.ct.gov
    • s.cnmilf.com
    • +1more
    csv, xlsx, xml
    Updated May 20, 2021
    + more versions
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    Department of Public Health (2021). COVID-19 Vaccinations by Race/Ethnicity - ARCHIVE [Dataset]. https://data.ct.gov/Health-and-Human-Services/COVID-19-Vaccinations-by-Race-Ethnicity-ARCHIVE/xkga-ifz3
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    May 20, 2021
    Dataset authored and provided by
    Department of Public Health
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    NOTE: After 5/20/2021, this dataset will no longer be updated and will be replaced by the new dataset: "COVID-19 Vaccinations by Race/Ethnicity" (https://data.ct.gov/Health-and-Human-Services/COVID-19-Vaccinations-by-Race-Ethnicity/4z97-pa4q).

    Cumulative number and percent of people who initiated COVID-19 vaccination and who are fully vaccinated by race/ethnicity for select age groups (ages 16+, ages 65-74, and ages 75+) as reported by providers.

    Population estimates are based on 2019 CT population estimates. The 2019 CT population data which is the most recent year available. The tables that show the percent vaccinated by town and age group are an exception. These tables use 2014 CT population estimates. This the most recent year for which reliable estimates by town and age are available.

    A person who has received one dose of any vaccine is considered to have received at least one dose. A person is considered fully vaccinated if they have received 2 doses of the Pfizer or Moderna vaccines or 1 dose of the Johnson & Johnson vaccine. The fully vaccinated are a subset of the number who have received at least one dose. The number with At Least One Dose and the number Fully Vaccinated add up to more than the total number of doses because people who received the Johnson & Johnson vaccine fit into both categories.

    In this data, a person with reported Hispanic or Latino ethnicity is considered Hispanic regardless of reported race. The category Unknown includes unknown race and/or ethnicity.

    The percent of people classified as Other race (not specified) and Multiple race in CT WiZ (for COVID-19 vaccine records and all other vaccine records) are higher than would be expected based on census data. Other race, Multiple race and Unknown include people who should be classified as Asian, Black, Hispanic and White. Therefore, the coverage of these groups may be underestimated and should be interpreted with caution.

    The estimates for the category Multiple Races are considered unreliable

    All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected.

    Note: As part of continuous data quality improvement efforts, duplicate records were removed from the COVID-19 vaccination data during the weeks of 4/19/2021 and 4/26/2021.

  3. COVID-19 vaccination rates and odds ratios by socio-demographic group

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jun 10, 2021
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    Office for National Statistics (2021). COVID-19 vaccination rates and odds ratios by socio-demographic group [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/healthinequalities/datasets/covid19vaccinationratesandoddsratiosbysociodemographicgroup
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    xlsxAvailable download formats
    Dataset updated
    Jun 10, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Vaccination rates and odds ratios by socio-demographic group among people living in England.

  4. Study implications for vaccine outreach strategies.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 6, 2023
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    Jonathan Z. Butler; Mariam Carson; Francine Rios-Fetchko; Roberto Vargas; Abby Cabrera; Angela Gallegos-Castillo; Monique LeSarre; Michael Liao; Kent Woo; Randi Ellis; Kirsten Liu; Arun Burra; Mario Ramirez; Brittney Doyle; Lydia Leung; Alicia Fernandez; Kevin Grumbach (2023). Study implications for vaccine outreach strategies. [Dataset]. http://doi.org/10.1371/journal.pone.0266397.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jonathan Z. Butler; Mariam Carson; Francine Rios-Fetchko; Roberto Vargas; Abby Cabrera; Angela Gallegos-Castillo; Monique LeSarre; Michael Liao; Kent Woo; Randi Ellis; Kirsten Liu; Arun Burra; Mario Ramirez; Brittney Doyle; Lydia Leung; Alicia Fernandez; Kevin Grumbach
    License

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

    Description

    Study implications for vaccine outreach strategies.

  5. Yellow fever vaccinated per 100 000 population (Percentage): Routine...

    • idataportal.afro.who.int
    csv, png
    Updated Aug 13, 2025
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    WHO AFRO (2025). Yellow fever vaccinated per 100 000 population (Percentage): Routine Immunization [Dataset]. https://idataportal.afro.who.int/indicator/yf_vaccinated_adults
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    png, csv(5806)Available download formats
    Dataset updated
    Aug 13, 2025
    Dataset provided by
    World Health Organization Regional Office for Africahttps://www.afro.who.int/
    Authors
    WHO AFRO
    Time period covered
    Mar 24, 2025
    Description

    This dataset reports the number of individuals vaccinated against yellow fever per 100,000 people, providing insights into immunization coverage and population protection levels.

  6. Database in excel.

    • plos.figshare.com
    xlsx
    Updated May 21, 2025
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    Defne Över; Emilce Santana; Ernesto F. L. Amaral; Chaitanya Lakkimsetti; Anna Estelle Kelley; Dulce Angelica Espinoza (2025). Database in excel. [Dataset]. http://doi.org/10.1371/journal.pone.0323815.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Defne Över; Emilce Santana; Ernesto F. L. Amaral; Chaitanya Lakkimsetti; Anna Estelle Kelley; Dulce Angelica Espinoza
    License

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

    Description

    The COVID-19 pandemic highlighted the crucial role of vaccines in controlling the virus. Despite their effectiveness, however, vaccine hesitancy remained a challenge, particularly within certain population groups. This multi-disciplinary study investigates the diverse socio-demographic factors influencing COVID-19 vaccination decisions in the United States. Through a nationally representative survey of 5,240 people, the research explores the interplay of information sources, religious beliefs, political party, and demographic characteristics of the respondents. Our findings reveal associations of main sources of information with vaccination likelihood, with the Centers for Disease Control and Prevention demonstrating the highest association with full vaccination. Religious beliefs are significant determinants, with Evangelical Protestants exhibiting the lowest vaccination rates. We also highlight the intricate relationship between political leanings and vaccination behavior, emphasizing higher levels of vaccination among Democrats. Demographic variables, including age, education, gender, and race/ethnicity, also play pivotal roles, exposing disparities in vaccination access and decisions. In particular, older individuals and those with higher levels of education show a greater inclination to achieve full vaccination, while women and African Americans are less likely to attain complete vaccination. Lastly, while major ethnoracial groups seem to respond to different sources of information similarly, there are also nuanced differences, such as Asians being especially likely to be fully vaccinated if they depend on the CDC or other health sources while more disadvantaged groups seem less responsive to these sources. Overall, this research provides a comprehensive analysis of the nuanced factors shaping vaccination behavior. It contributes valuable knowledge to public health strategies, emphasizing the need for targeted communication campaigns tailored to diverse communities.

  7. Key themes.

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xls
    Updated Jun 9, 2023
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    Jonathan Z. Butler; Mariam Carson; Francine Rios-Fetchko; Roberto Vargas; Abby Cabrera; Angela Gallegos-Castillo; Monique LeSarre; Michael Liao; Kent Woo; Randi Ellis; Kirsten Liu; Arun Burra; Mario Ramirez; Brittney Doyle; Lydia Leung; Alicia Fernandez; Kevin Grumbach (2023). Key themes. [Dataset]. http://doi.org/10.1371/journal.pone.0266397.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jonathan Z. Butler; Mariam Carson; Francine Rios-Fetchko; Roberto Vargas; Abby Cabrera; Angela Gallegos-Castillo; Monique LeSarre; Michael Liao; Kent Woo; Randi Ellis; Kirsten Liu; Arun Burra; Mario Ramirez; Brittney Doyle; Lydia Leung; Alicia Fernandez; Kevin Grumbach
    License

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

    Description

    Key themes.

  8. Database in DTA (Stata).

    • plos.figshare.com
    bin
    Updated May 21, 2025
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    Defne Över; Emilce Santana; Ernesto F. L. Amaral; Chaitanya Lakkimsetti; Anna Estelle Kelley; Dulce Angelica Espinoza (2025). Database in DTA (Stata). [Dataset]. http://doi.org/10.1371/journal.pone.0323815.s002
    Explore at:
    binAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Defne Över; Emilce Santana; Ernesto F. L. Amaral; Chaitanya Lakkimsetti; Anna Estelle Kelley; Dulce Angelica Espinoza
    License

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

    Description

    The COVID-19 pandemic highlighted the crucial role of vaccines in controlling the virus. Despite their effectiveness, however, vaccine hesitancy remained a challenge, particularly within certain population groups. This multi-disciplinary study investigates the diverse socio-demographic factors influencing COVID-19 vaccination decisions in the United States. Through a nationally representative survey of 5,240 people, the research explores the interplay of information sources, religious beliefs, political party, and demographic characteristics of the respondents. Our findings reveal associations of main sources of information with vaccination likelihood, with the Centers for Disease Control and Prevention demonstrating the highest association with full vaccination. Religious beliefs are significant determinants, with Evangelical Protestants exhibiting the lowest vaccination rates. We also highlight the intricate relationship between political leanings and vaccination behavior, emphasizing higher levels of vaccination among Democrats. Demographic variables, including age, education, gender, and race/ethnicity, also play pivotal roles, exposing disparities in vaccination access and decisions. In particular, older individuals and those with higher levels of education show a greater inclination to achieve full vaccination, while women and African Americans are less likely to attain complete vaccination. Lastly, while major ethnoracial groups seem to respond to different sources of information similarly, there are also nuanced differences, such as Asians being especially likely to be fully vaccinated if they depend on the CDC or other health sources while more disadvantaged groups seem less responsive to these sources. Overall, this research provides a comprehensive analysis of the nuanced factors shaping vaccination behavior. It contributes valuable knowledge to public health strategies, emphasizing the need for targeted communication campaigns tailored to diverse communities.

  9. Data_Sheet_1_COVID-19 Vaccine Hesitancy in the United States: A Systematic...

    • frontiersin.figshare.com
    docx
    Updated Jun 1, 2023
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    Farah Yasmin; Hala Najeeb; Abdul Moeed; Unaiza Naeem; Muhammad Sohaib Asghar; Najeeb Ullah Chughtai; Zohaib Yousaf; Binyam Tariku Seboka; Irfan Ullah; Chung-Ying Lin; Amir H. Pakpour (2023). Data_Sheet_1_COVID-19 Vaccine Hesitancy in the United States: A Systematic Review.docx [Dataset]. http://doi.org/10.3389/fpubh.2021.770985.s001
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Farah Yasmin; Hala Najeeb; Abdul Moeed; Unaiza Naeem; Muhammad Sohaib Asghar; Najeeb Ullah Chughtai; Zohaib Yousaf; Binyam Tariku Seboka; Irfan Ullah; Chung-Ying Lin; Amir H. Pakpour
    License

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

    Description

    Vaccine hesitancy in the US throughout the pandemic has revealed inconsistent results. This systematic review has compared COVID-19 vaccine uptake across US and investigated predictors of vaccine hesitancy and acceptance across different groups. A search of PUBMED database was conducted till 17th July, 2021. Articles that met the inclusion criteria were screened and 65 studies were selected for a quantitative analysis. The overall vaccine acceptance rate ranged from 12 to 91.4%, the willingness of studies using the 10-point scale ranged from 3.58 to 5.12. Increased unwillingness toward COVID-19 vaccine and Black/African Americans were found to be correlated. Sex, race, age, education level, and income status were identified as determining factors of having a low or high COVID-19 vaccine uptake. A change in vaccine acceptance in the US population was observed in two studies, an increase of 10.8 and 7.4%, respectively, between 2020 and 2021. Our results confirm that hesitancy exists in the US population, highest in Black/African Americans, pregnant or breastfeeding women, and low in the male sex. It is imperative for regulatory bodies to acknowledge these statistics and consequently, exert efforts to mitigate the burden of unvaccinated individuals and revise vaccine delivery plans, according to different vulnerable subgroups, across the country.

  10. Percentage distribution of respondents by source of information about...

    • plos.figshare.com
    xls
    Updated May 21, 2025
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    Defne Över; Emilce Santana; Ernesto F. L. Amaral; Chaitanya Lakkimsetti; Anna Estelle Kelley; Dulce Angelica Espinoza (2025). Percentage distribution of respondents by source of information about COVID-19 vaccines and race/ethnicity, as well as percentage of those fully vaccinated in each sub-group, 2023. [Dataset]. http://doi.org/10.1371/journal.pone.0323815.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Defne Över; Emilce Santana; Ernesto F. L. Amaral; Chaitanya Lakkimsetti; Anna Estelle Kelley; Dulce Angelica Espinoza
    License

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

    Description

    Percentage distribution of respondents by source of information about COVID-19 vaccines and race/ethnicity, as well as percentage of those fully vaccinated in each sub-group, 2023.

  11. Barriers to COVID-19 vaccination from semi-structured interviews (n = 29).

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 13, 2023
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    Lu Dong; Laura M. Bogart; Priya Gandhi; James B. Aboagye; Samantha Ryan; Rosette Serwanga; Bisola O. Ojikutu (2023). Barriers to COVID-19 vaccination from semi-structured interviews (n = 29). [Dataset]. http://doi.org/10.1371/journal.pone.0268020.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lu Dong; Laura M. Bogart; Priya Gandhi; James B. Aboagye; Samantha Ryan; Rosette Serwanga; Bisola O. Ojikutu
    License

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

    Description

    Barriers to COVID-19 vaccination from semi-structured interviews (n = 29).

  12. Inclusion and exclusion criteria.

    • plos.figshare.com
    xls
    Updated May 22, 2025
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    Matilda Anim-Larbi; Vivian Puplampu; Sithokozile Maposa; Akram Mahani; Mary Chipanshi (2025). Inclusion and exclusion criteria. [Dataset]. http://doi.org/10.1371/journal.pone.0323186.t001
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    xlsAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Matilda Anim-Larbi; Vivian Puplampu; Sithokozile Maposa; Akram Mahani; Mary Chipanshi
    License

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

    Description

    IntroductionVaccine-preventable diseases continue to cause morbidity and mortality despite the introduction of childhood immunizations. Recent media reports from Canada and the United States of America (USA) have highlighted a rise in childhood illnesses like measles, which could have been prevented with vaccines. Parents play a pivotal role in ensuring their children receive timely vaccinations. Immunization reminders can help parents who forget or miss vaccination appointments. In the USA, current literature indicates that Black children have lower vaccination rates than other racialized children and vaccine reminders may improve measles vaccine uptake among Black parents. However, there is limited data in Canada on vaccine uptake in children of Black parents, with evidence suggesting vaccine hesitancy among the Black population.ObjectiveThis scoping review aims to map out existing literature on immunization reminder strategies among parents to identify their impact in improving childhood vaccination rates and promoting child health.Inclusion criteriaThe review will include studies conducted in Canada and the United States of America that focus on immunization reminders for parents who have children under six years and published in English between 2015 and 2025.MethodsDatabase and hand-searching of journals and gray literature will be carried out to retrieve pertinent articles. Studies that meet the inclusion criteria will be eligible for selection. The process of selecting eligible studies will then be summarized on a PRISMA-ScR chart. Collated in data-extraction tables will be authorship information, publication date, methods and findings. The findings, key arguments and themes will be analyzed using a thematic analysis and summarized using a narrative summary.ConclusionThis review will contribute to the existing knowledge on parental preferences for vaccine reminder strategies and their usefulness in increasing childhood vaccination rates. The findings will inform and improve public health strategies aimed at boosting vaccine uptake among children.

  13. f

    Population-adjusted prevalence of antibodies from COVID-19 vaccination in...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 14, 2023
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    Cameron Adams; Mary Horton; Olivia Solomon; Marcus Wong; Sean L. Wu; Sophia Fuller; Xiaorong Shao; Indro Fedrigo; Hong L. Quach; Diana L. Quach; Michelle Meas; Luis Lopez; Abigail Broughton; Anna L. Barcellos; Joan Shim; Yusef Seymens; Samantha Hernandez; Magelda Montoya; Darrell M. Johnson; Kenneth B. Beckman; Michael P. Busch; Josefina Coloma; Joseph A. Lewnard; Eva Harris; Lisa F. Barcellos (2023). Population-adjusted prevalence of antibodies from COVID-19 vaccination in Round 3 within race/ethnicity and age groups and prevalence differences between non-White and White individuals. [Dataset]. http://doi.org/10.1371/journal.pgph.0000647.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Cameron Adams; Mary Horton; Olivia Solomon; Marcus Wong; Sean L. Wu; Sophia Fuller; Xiaorong Shao; Indro Fedrigo; Hong L. Quach; Diana L. Quach; Michelle Meas; Luis Lopez; Abigail Broughton; Anna L. Barcellos; Joan Shim; Yusef Seymens; Samantha Hernandez; Magelda Montoya; Darrell M. Johnson; Kenneth B. Beckman; Michael P. Busch; Josefina Coloma; Joseph A. Lewnard; Eva Harris; Lisa F. Barcellos
    License

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

    Description

    Population-adjusted prevalence of antibodies from COVID-19 vaccination in Round 3 within race/ethnicity and age groups and prevalence differences between non-White and White individuals.

  14. COVID-19 incidence, mortality, and vaccination rates by race, age, and sex,...

    • plos.figshare.com
    xls
    Updated Aug 31, 2023
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    Max Jordan Nguemeni Tiako; Alyssa Browne (2023). COVID-19 incidence, mortality, and vaccination rates by race, age, and sex, Michigan, June 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0288383.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Max Jordan Nguemeni Tiako; Alyssa Browne
    License

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

    Description

    COVID-19 incidence, mortality, and vaccination rates by race, age, and sex, Michigan, June 2021.

  15. Description of the cohort by vaccination status.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 8, 2023
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    Christopher A. Martin; Colette Marshall; Prashanth Patel; Charles Goss; David R. Jenkins; Claire Ellwood; Linda Barton; Arthur Price; Nigel J. Brunskill; Kamlesh Khunti; Manish Pareek (2023). Description of the cohort by vaccination status. [Dataset]. http://doi.org/10.1371/journal.pmed.1003823.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Christopher A. Martin; Colette Marshall; Prashanth Patel; Charles Goss; David R. Jenkins; Claire Ellwood; Linda Barton; Arthur Price; Nigel J. Brunskill; Kamlesh Khunti; Manish Pareek
    License

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

    Description

    Description of the cohort by vaccination status.

  16. Simple 2-Patch Vaccine Model

    • figshare.com
    xls
    Updated Apr 7, 2022
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    David Fisman; Ashleigh Tuite (2022). Simple 2-Patch Vaccine Model [Dataset]. http://doi.org/10.6084/m9.figshare.15189576.v3
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    xlsAvailable download formats
    Dataset updated
    Apr 7, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    David Fisman; Ashleigh Tuite
    License

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

    Description

    Impact of Population Mixing Between a Vaccinated Majority and Unvaccinated Minority on Disease Dynamics: Implications for SARS-CoV-2AbstractBackground: The speed of vaccine development has been a singular achievement during the SARS-CoV-2 pandemic. However, anti-vaccination movements and disinformation efforts have resulted in suboptimal uptake of available vaccines. Vaccine opponents often frame their opposition in terms of the rights of the unvaccinated. Our objective was to explore the impact of mixing of vaccinated and unvaccinated populations on risk among vaccinated individuals.Methods: We constructed a simple Susceptible-Infectious-Recovered (SIR) compartmental model of a respiratory infectious disease with two connected sub-populations: vaccinated individuals and unvaccinated individuals (Figure 1). We modeled the non-random mixing of these two groups using a matrix approach with a mixing constant varied to simulate a spectrum of patterns ranging from random mixing to complete assortativity. We evaluated the dynamics of an epidemic within each subgroup, and in the population as a whole, and also evaluated the contact-frequency-adjusted contribution of unvaccinated individuals to risk among the vaccinated.Results: As expected, the relative risk of infection was markedly higher among unvaccinated individuals than among vaccinated individuals. However, the contact-adjusted contribution of unvaccinated individuals to infection risk during the epidemic was disproportionate with unvaccinated individuals contributing to infection risk among the vaccinated at a rate up to 6.4 times higher than would have been expected based on contact numbers alone in the base case. As assortativity increased the final attack rate decreased among vaccinated individuals, but the contact-adjusted contribution to risk among vaccinated individuals derived from contact with unvaccinated individuals increased.Interpretation: While risk associated with avoiding vaccination during a virulent pandemic accrues chiefly to the unvaccinated, the choices of these individuals are likely to impact the health and safety of vaccinated individuals in a manner disproportionate to the fraction of unvaccinated individuals in the population.

  17. Additional file 1 of How inclusive were UK-based randomised controlled...

    • springernature.figshare.com
    zip
    Updated Aug 18, 2024
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    Hibba Herieka; Daphne Babalis; Evangelia Tzala; Shyam Budhathoki; Nicholas A. Johnson (2024). Additional file 1 of How inclusive were UK-based randomised controlled trials of COVID-19 vaccines? A systematic review investigating enrolment of Black adults and adult ethnic minorities [Dataset]. http://doi.org/10.6084/m9.figshare.25591366.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 18, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Hibba Herieka; Daphne Babalis; Evangelia Tzala; Shyam Budhathoki; Nicholas A. Johnson
    License

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

    Area covered
    United Kingdom
    Description

    Additional file 1: Supplement Figure 1. Bar chart depicting the number of reported datasets per region of the UK. * represents where some specific trial site locations were unavailable within this region

  18. Number and percentage of measles cases by age group and origin,...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 3, 2023
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    Maria Gianniki; Tania Siahanidou; Evanthia Botsa; Athanasios Michos (2023). Number and percentage of measles cases by age group and origin, 8/2017-10/2018 (n = 578). [Dataset]. http://doi.org/10.1371/journal.pone.0245512.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Maria Gianniki; Tania Siahanidou; Evanthia Botsa; Athanasios Michos
    License

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

    Description

    Number and percentage of measles cases by age group and origin, 8/2017-10/2018 (n = 578).

  19. Frequency and percentage of sample within occupation group by ethnic...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Sadie Bell; Richard M. Clarke; Sharif A. Ismail; Oyinkansola Ojo-Aromokudu; Habib Naqvi; Yvonne Coghill; Helen Donovan; Louise Letley; Pauline Paterson; Sandra Mounier-Jack (2023). Frequency and percentage of sample within occupation group by ethnic minority grouping. [Dataset]. http://doi.org/10.1371/journal.pone.0260949.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Sadie Bell; Richard M. Clarke; Sharif A. Ismail; Oyinkansola Ojo-Aromokudu; Habib Naqvi; Yvonne Coghill; Helen Donovan; Louise Letley; Pauline Paterson; Sandra Mounier-Jack
    License

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

    Description

    Frequency and percentage of sample within occupation group by ethnic minority grouping.

  20. Complications in 342 hospitalized children with measles, 8/2017-10/2018.

    • plos.figshare.com
    xls
    Updated Jun 7, 2023
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    Maria Gianniki; Tania Siahanidou; Evanthia Botsa; Athanasios Michos (2023). Complications in 342 hospitalized children with measles, 8/2017-10/2018. [Dataset]. http://doi.org/10.1371/journal.pone.0245512.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Maria Gianniki; Tania Siahanidou; Evanthia Botsa; Athanasios Michos
    License

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

    Description

    Complications in 342 hospitalized children with measles, 8/2017-10/2018.

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IISInfo (2022). Archive: COVID-19 Vaccination and Case Trends by Age Group, United States [Dataset]. https://data.cdc.gov/Vaccinations/Archive-COVID-19-Vaccination-and-Case-Trends-by-Ag/gxj9-t96f

Archive: COVID-19 Vaccination and Case Trends by Age Group, United States

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16 scholarly articles cite this dataset (View in Google Scholar)
xlsx, xml, csvAvailable download formats
Dataset updated
Oct 14, 2022
Dataset authored and provided by
IISInfo
License

https://www.usa.gov/government-workshttps://www.usa.gov/government-works

Description

After October 13, 2022, this dataset will no longer be updated as the related CDC COVID Data Tracker site was retired on October 13, 2022.

This dataset contains historical trends in vaccinations and cases by age group, at the US national level. Data is stratified by at least one dose and fully vaccinated. Data also represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.

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