100+ datasets found
  1. m

    Massachusetts COVID-19 vaccination data

    • mass.gov
    Updated Oct 16, 2020
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    Department of Public Health (2020). Massachusetts COVID-19 vaccination data [Dataset]. https://www.mass.gov/info-details/massachusetts-covid-19-vaccination-data
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    Dataset updated
    Oct 16, 2020
    Dataset authored and provided by
    Department of Public Health
    Area covered
    Massachusetts
    Description

    View the latest data about COVID-19 vaccine in Massachusetts.

  2. d

    Updated 2023-2024 COVID-19 Vaccine Doses by Week and Age Group

    • catalog.data.gov
    • data.ct.gov
    Updated Mar 22, 2025
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    data.ct.gov (2025). Updated 2023-2024 COVID-19 Vaccine Doses by Week and Age Group [Dataset]. https://catalog.data.gov/dataset/updated-2023-2024-covid-19-vaccine-doses-by-week-and-age-group
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    Dataset updated
    Mar 22, 2025
    Dataset provided by
    data.ct.gov
    Description

    This table will no longer be updated after 5/30/2024 given the end of the 2023-2024 viral respiratory vaccine season. This table shows the number of CT residents who received an updated 2023-2024 COVID-19 vaccination by week and age group (current age). Only the first dose is counted. CDC recommends that people get at least one dose of this vaccine to protect against serious illness, whether or not they have had a COVID-19 vaccination before. Children and people with moderate to severe immunosuppression might be recommended more than one dose. For more information on COVID-19 vaccination recommendations, click here. • Data are reported weekly on Thursday and include doses administered to Saturday of the previous week (Sunday – Saturday). All data in this report are preliminary. Data from the previous week may be changed because of delays in reporting, deduplication, or correction of errors. • These analyses are based on data reported to CT WiZ which is the immunization information system for CT. CT providers are required by law to report all doses of vaccine administered. CT WiZ also receives records on CT residents vaccinated in other jurisdictions and by federal entities which share data with CT Wiz electronically. Electronic data exchange is being added jurisdiction-by-jurisdiction. Currently, this includes Rhode Island and New York City but not Massachusetts and New York State. Therefore, doses administered to CT residents in neighboring towns in Massachusetts and New York State will not be included. A full list of the jurisdiction with which CT has established electronic data exchange can be seen at the bottom of this page (https://portal.ct.gov/immunization/Knowledge-Base/Articles/Vaccine-Providers/CT-WiZ-for-Vaccine-Providers-and-Training/Query-and-Response-functionality-in-CT-WiZ?language=en_US) • People are included if they have an active jurisdictional status in CT WiZ at the time weekly data are pulled. This excludes people who live out of state, are deceased and a small percentage who have opted out of CT WiZ.

  3. m

    COVID-19 and Flu vaccination reports for healthcare personnel

    • mass.gov
    Updated Aug 29, 2018
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    Bureau of Infectious Disease and Laboratory Sciences (2018). COVID-19 and Flu vaccination reports for healthcare personnel [Dataset]. https://www.mass.gov/info-details/covid-19-and-flu-vaccination-reports-for-healthcare-personnel
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    Dataset updated
    Aug 29, 2018
    Dataset provided by
    Division of Health Care Facility Licensure and Certification
    Bureau of Infectious Disease and Laboratory Sciences
    Bureau of Health Care Safety and Quality
    Department of Public Health
    Area covered
    Massachusetts
    Description

    Access available resources below such as data reports, and Public Health Council presentations.

  4. O

    Cambridge Vaccination Demographics 3/15/2021-3/29/2023

    • data.cambridgema.gov
    application/rdfxml +5
    Updated Mar 29, 2023
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    (2023). Cambridge Vaccination Demographics 3/15/2021-3/29/2023 [Dataset]. https://data.cambridgema.gov/Public-Health/Cambridge-Vaccination-Demographics-3-15-2021-3-29-/66td-u88k
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    application/rdfxml, csv, tsv, xml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Mar 29, 2023
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    This open dataset shows data on Cambridge residents who have received a COVID-19 vaccine at any location (e.g., mass vaccination site, pharmacy, doctor's office). These data come from the Massachusetts Department of Public Health's weekly report on vaccine doses administered by municipality. The report is released on Thursdays.
    The Moderna and Pfizer vaccines require two doses administered at least 28 days apart in order to be fully vaccinated. The J&J (Janssen) vaccine requires a single dose in order to be fully vaccinated.
    The category "Residents Who Received at Least One Dose" reflects the total number of individuals in the fully and partially vaccinated categories. That is, this category comprises individuals who have received one or both doses of the Moderna/Pfizer vaccine or have received the single dose J&J (Janssen) vaccine.
    The category "Fully Vaccinated Residents" comprises individuals who have received both doses of the Moderna/ Pfizer vaccine or the single-dose J&J vaccine.
    The category "Partially Vaccinated Residents" comprises individuals who have received only the first dose of the Moderna/Pfizer vaccine.
    Source: Weekly COVID-19 Municipality Vaccination Report. Massachusetts releases updated data each Thursday at 5 p.m.

  5. m

    COVID-19 reporting

    • mass.gov
    Updated Dec 4, 2023
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    Executive Office of Health and Human Services (2023). COVID-19 reporting [Dataset]. https://www.mass.gov/info-details/covid-19-reporting
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    Dataset updated
    Dec 4, 2023
    Dataset provided by
    Executive Office of Health and Human Services
    Department of Public Health
    Area covered
    Massachusetts
    Description

    The COVID-19 dashboard includes data on city/town COVID-19 activity, confirmed and probable cases of COVID-19, confirmed and probable deaths related to COVID-19, and the demographic characteristics of cases and deaths.

  6. f

    Table_1_Mass Media Use to Learn About COVID-19 and the Non-intention to Be...

    • frontiersin.figshare.com
    docx
    Updated Jun 13, 2023
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    Guido Bendezu-Quispe; Jerry K. Benites-Meza; Diego Urrunaga-Pastor; Percy Herrera-Añazco; Angela Uyen-Cateriano; Alfonso J. Rodriguez-Morales; Carlos J. Toro-Huamanchumo; Adrian V. Hernandez; Vicente A. Benites-Zapata (2023). Table_1_Mass Media Use to Learn About COVID-19 and the Non-intention to Be Vaccinated Against COVID-19 in Latin America and Caribbean Countries.DOCX [Dataset]. http://doi.org/10.3389/fmed.2022.877764.s001
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    docxAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    Frontiers
    Authors
    Guido Bendezu-Quispe; Jerry K. Benites-Meza; Diego Urrunaga-Pastor; Percy Herrera-Añazco; Angela Uyen-Cateriano; Alfonso J. Rodriguez-Morales; Carlos J. Toro-Huamanchumo; Adrian V. Hernandez; Vicente A. Benites-Zapata
    License

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

    Area covered
    Caribbean, Latin America
    Description

    BackgroundThe Latin American and Caribbean (LAC) region has been one of the regions most affected by the COVID-19 pandemic, with countries presenting some of the highest numbers of cases and deaths from this disease in the world. Despite this, vaccination intention is not homogeneous in the region, and no study has evaluated the influence of the mass media on vaccination intention. The objective of this study was to evaluate the association between the use of mass media to learn about COVID-19 and the non-intention of vaccination against COVID-19 in LAC countries.MethodsAn analysis of secondary data from a Massachusetts Institute of Technology (MIT) survey was conducted in collaboration with Facebook on people's beliefs, behaviors, and norms regarding COVID-19. Crude and adjusted prevalence ratios (aPR) with their respective 95% confidence intervals (95%CI) were calculated to evaluate the association between the use of mass media and non-vaccination intention using generalized linear models of the Poisson family with logarithmic link.ResultsA total of 350,322 Facebook users over the age of 18 from LAC countries were included. 50.0% were men, 28.4% were between 18 and 30 years old, 41.4% had a high school education level, 86.1% lived in the city and 34.4% reported good health condition. The prevalence of using the mass media to learn about COVID-19 was mostly through mixed media (65.8%). The non-intention of vaccination was 10.8%. A higher prevalence of not intending to be vaccinated against COVID-19 was found in those who used traditional media (aPR = 1.36; 95%CI: 1.29–1.44; p < 0.001) and digital media (aPR = 1.70; 95%CI: 1.24–2.33; p = 0.003) compared to those using mixed media.ConclusionWe found an association between the type of mass media used to learn about COVID-19 and the non-intention of vaccination. The use of only traditional or digital information sources were associated with a higher probability of non-intention to vaccinate compared to the use of both sources.

  7. O

    Cambridge Vaccine Demographics by Week 3/18/2021-3/29/2023 (Historical)

    • data.cambridgema.gov
    application/rdfxml +5
    Updated Mar 19, 2021
    + more versions
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    (2021). Cambridge Vaccine Demographics by Week 3/18/2021-3/29/2023 (Historical) [Dataset]. https://data.cambridgema.gov/Public-Health/Cambridge-Vaccine-Demographics-by-Week-3-18-2021-3/r3q4-v3ae
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    json, csv, application/rdfxml, tsv, xml, application/rssxmlAvailable download formats
    Dataset updated
    Mar 19, 2021
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    This open dataset shows data on Cambridge residents who have received a COVID-19 vaccine at any location (e.g., mass vaccination site, pharmacy, doctor's office). These data come from the Massachusetts Department of Public Health's weekly report on vaccine doses administered by municipality. The report is released on Thursdays. This open dataset includes data going back several weeks and complements another open dataset called "Cambridge Vaccine Demographics," which shows data for the latest week (https://data.cambridgema.gov/Public-Health/Cambridge-Vaccination-Demographics/66td-u88k)

    The Moderna and Pfizer vaccines require two doses administered at least 28 days apart in order to be fully vaccinated. The J&J (Janssen) vaccine requires a single dose in order to be fully vaccinated.

    The category "Residents Who Received at Least One Dose" reflects the total number of individuals in the fully and partially vaccinated categories. That is, this category comprises individuals who have received one or both doses of the Moderna/Pfizer vaccine or have received the single dose J&J (Janssen) vaccine.

    The category "Fully Vaccinated Residents" comprises individuals who have received both doses of the Moderna/ Pfizer vaccine or the single-dose J&J vaccine.

    The category "Partially Vaccinated Residents" comprises individuals who have received only the first dose of the Moderna/Pfizer vaccine.

    Source: Weekly COVID-19 Municipality Vaccination Report. Massachusetts releases updated data each Thursday at 5 p.m.

  8. f

    Table_1_Attitudes and Acceptance of COVID-19 Vaccination Among Nurses and...

    • frontiersin.figshare.com
    docx
    Updated May 30, 2023
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    Georgia Fakonti; Maria Kyprianidou; Giannos Toumbis; Konstantinos Giannakou (2023). Table_1_Attitudes and Acceptance of COVID-19 Vaccination Among Nurses and Midwives in Cyprus: A Cross-Sectional Survey.docx [Dataset]. http://doi.org/10.3389/fpubh.2021.656138.s001
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Georgia Fakonti; Maria Kyprianidou; Giannos Toumbis; Konstantinos Giannakou
    License

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

    Area covered
    Cyprus
    Description

    Healthcare workers are at the frontline of the COVID-19 pandemic and have been identified as a priority target group for COVID-19 vaccines. This study aimed to determine the COVID-19 vaccination intention among nurses and midwives in Cyprus and reveal the influential factors that affected their decision. An Internet-based cross-sectional survey was conducted between December 8 and 28, 2020. Data collection was accomplished using a self-administered questionnaire with questions about socio-demographic characteristics, questions assessing general vaccination-related intentions and behaviors, and the intention to accept COVID-19 vaccination. A sample of 437 responders answered the survey, with 93% being nurses and 7% midwives. A small proportion of the participants would accept a vaccine against COVID-19, while 70% could be qualified as “vaccine hesitant.” The main reasons for not receiving the COVID-19 vaccine were concerns about the vaccine's expedited development and fear of side effects. More females, individuals with a larger median age, and a higher number of years of working experience, intended to accept the COVID-19 vaccination, compared with those not intended to accept and undecided groups (p < 0.01). Having a seasonal flu vaccination in the last 5 years, receiving the vaccines recommended for health professionals, and working in the private sector were associated with a higher probability of COVID-19 vaccination acceptance. A considerable rate of nurses and midwives in Cyprus reported unwillingness to receive a COVID-19 vaccine due to vaccine-related concerns. Our findings highlight the need for forthcoming vaccination campaigns and programs to tackle coronavirus vaccine hesitancy barriers to achieve the desirable vaccination coverage.

  9. m

    City of Boston COVID-19 Vaccine Finder

    • gis.data.mass.gov
    Updated Dec 21, 2021
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    BostonMaps (2021). City of Boston COVID-19 Vaccine Finder [Dataset]. https://gis.data.mass.gov/datasets/boston::city-of-boston-covid-19-vaccine-finder
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    Dataset updated
    Dec 21, 2021
    Dataset authored and provided by
    BostonMaps
    Description

    This interactive Vaccine Finder application was developed by the Analytics Team in order to help residents find vaccine locations and related information. Please report any problems, suggestions, or feedback to analytics@boston.gov

  10. U

    United States SB: MA: COVID Test/Vaccine: Proof of COVID Vaccination: No

    • ceicdata.com
    Updated Mar 15, 2023
    + more versions
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    CEICdata.com (2023). United States SB: MA: COVID Test/Vaccine: Proof of COVID Vaccination: No [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-northeast-region/sb-ma-covid-testvaccine-proof-of-covid-vaccination-no
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 27, 2021 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: MA: COVID Test/Vaccine: Proof of COVID Vaccination: No data was reported at 77.600 % in 11 Apr 2022. This records an increase from the previous number of 73.900 % for 04 Apr 2022. United States SB: MA: COVID Test/Vaccine: Proof of COVID Vaccination: No data is updated weekly, averaging 72.700 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 77.600 % in 11 Apr 2022 and a record low of 65.500 % in 03 Jan 2022. United States SB: MA: COVID Test/Vaccine: Proof of COVID Vaccination: No data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

  11. U

    United States SB: MA: COVID Test/Vaccine: Proof of COVID Vaccination: N/A

    • ceicdata.com
    Updated Apr 23, 2022
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    CEICdata.com (2022). United States SB: MA: COVID Test/Vaccine: Proof of COVID Vaccination: N/A [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-northeast-region/sb-ma-covid-testvaccine-proof-of-covid-vaccination-na
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    Dataset updated
    Apr 23, 2022
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 27, 2021 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: MA: COVID Test/Vaccine: Proof of COVID Vaccination: N/A data was reported at 13.200 % in 11 Apr 2022. This records a decrease from the previous number of 14.100 % for 04 Apr 2022. United States SB: MA: COVID Test/Vaccine: Proof of COVID Vaccination: N/A data is updated weekly, averaging 14.050 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 19.100 % in 14 Mar 2022 and a record low of 9.000 % in 22 Nov 2021. United States SB: MA: COVID Test/Vaccine: Proof of COVID Vaccination: N/A data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

  12. d

    Replication Data for: Communication about Vaccine Efficacy and COVID-19...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 13, 2023
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    Kriner, Douglas; Kreps, Sarah (2023). Replication Data for: Communication about Vaccine Efficacy and COVID-19 Vaccine Choice: Evidence from a Survey Experiment in the United States [Dataset]. http://doi.org/10.7910/DVN/2LEB3A
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    Dataset updated
    Nov 13, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kriner, Douglas; Kreps, Sarah
    Description

    While mass vaccination campaigns against COVID-19 have inoculated almost 200 million Americans and billions more worldwide, significant pockets of vaccine hesitancy remain. Research has firmly established that vaccine efficacy is an important driver of public vaccine acceptance and choice. However, current vaccines offer widely varying levels of protection against different adverse health outcomes of COVID-19. This study employs an experiment embedded on a survey of 1,194 US adults in June 2021 to examine how communications about vaccine efficacy affect vaccine choice. The experiment manipulated how vaccine efficacy was defined across four treatments: (1) protection against symptomatic infection; (2) protection against severe illness; (3) protection against hospitalization/death; (4) efficacy data on all three metrics. The control group received no efficacy information. Subjects were asked to choose between a pair of vaccines—a one-dose viral vector vaccine or two-dose mRNA vaccine—whose efficacy data varied across the four experimental treatment groups. Efficacy data for each vaccine on each dimension were adapted from clinical trial data on the Johnson & Johnson/Janssen and Pfizer/BioNTech vaccines. Among all respondents, only modest preference gaps between the two vaccines emerged in the control group and when the two vaccines’ roughly equivalent efficacy data against hospitalization and death were reported. Strong preferences for a two-dose mRNA vaccine emerged in treatments where its higher efficacy against symptomatic or severe illness was reported, as well as in the treatment where data on all three efficacy criteria were reported. Unvaccinated respondents preferred a one-dose viral vector vaccine when only efficacy data against hospitalization or death was presented. Black and Latino respondents were significantly more likely to choose the one-shot viral vector vaccine in the combined efficacy treatment than were whites. Results speak to the importance of understanding how communications about vaccine efficacy affect public preferences in an era of increasing uncertainty about efficacy against variants.

  13. s

    Data from: Evaluating targeted COVID-19 vaccination strategies with...

    • scholardata.sun.ac.za
    Updated Oct 15, 2024
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    Thomas J Hladish; Alexander N. Pillai; Carl A. B. Pearson; Kok Ben Toh; Andrea C. Tamayo; Arlin Stoltzfus; Ira M Longini (2024). Evaluating targeted COVID-19 vaccination strategies with agent-based modeling [Dataset]. http://doi.org/10.25413/sun.27222900.v1
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    Dataset updated
    Oct 15, 2024
    Dataset provided by
    SUNScholarData
    Authors
    Thomas J Hladish; Alexander N. Pillai; Carl A. B. Pearson; Kok Ben Toh; Andrea C. Tamayo; Arlin Stoltzfus; Ira M Longini
    License

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

    Description

    We evaluate approaches to vaccine distribution using an agent-based model of human activity and COVID-19 transmission calibrated to detailed trends in cases, hospitalizations, deaths, seroprevalence, and vaccine breakthrough infections in Florida, USA. We compare the incremental effectiveness for four different distribution strategies at four different levels of vaccine supply, starting in late 2020 through early 2022. Our analysis indicates that the best strategy to reduce severe outcomes would be to actively target high disease-risk individuals. This was true in every scenario, although the advantage was greatest for the intermediate vaccine availability assumptions and relatively modest compared to a simple mass vaccination approach under high vaccine availability. Ring vaccination, while generally the most effective strategy for reducing infections, ultimately proved least effective at preventing deaths. We also consider using age group as a practical surrogate measure for actual disease-risk targeting; this approach also outperforms both simple mass distribution and ring vaccination. We find that quantitative effectiveness of a strategy depends on whether effectiveness is assessed after the alpha, delta, or omicron wave. However, these differences in absolute benefit for the strategies do not change the ranking of their performance at preventing severe outcomes across vaccine availability assumptions.

  14. COVID-19 vaccination rate in Russia 2020-2023

    • ai-chatbox.pro
    • statista.com
    Updated Mar 14, 2024
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    Statista (2024). COVID-19 vaccination rate in Russia 2020-2023 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1239299%2Fcovid-19-vaccination-rate-in-russia%2F%23XgboD02vawLbpWJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Mar 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 15, 2020 - May 26, 2023
    Area covered
    Russia
    Description

    Russia's COVID-19 vaccination rate reached around 129 administered doses per 100 population as of May 26, 2023. The rate of fully vaccinated residents was nearly 55.1 per 100 people. Russia’s COVID-19 vaccination rate was among the lowest in Europe.

    COVID-19 vaccination in Russia

    The mass vaccination against COVID-19 in Russia started at the beginning of 2021. As of May 2023, over 88 million Russians got at least one vaccine dose. Several regions, including the capital Moscow, required companies in specific industries to vaccinate at least 60 percent of their staff. Such sectors included healthcare, education, retail, and various services, among others. The restrictions were largely lifted in the spring and summer of 2022.

    Attitude toward COVID-19 vaccination in Russia

    When asked if they planned to get vaccinated against COVID-19, over one-quarter of Russians stated they would definitely or most probably do it, according to a survey from June 2021. Furthermore, nearly one-fifth of respondents reported being vaccinated already at that point. The most common motives to get vaccinated for Russians were to be able to travel without restrictions and not to worry about their health. The main reason behind vaccination hesitancy was a concern about the long-term consequences of COVID-19 vaccines.

  15. g

    New York State Statewide COVID-19 Vaccination Data by County (Archived,...

    • gimi9.com
    • health.data.ny.gov
    + more versions
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    New York State Statewide COVID-19 Vaccination Data by County (Archived, Initial) [Dataset]. https://gimi9.com/dataset/ny_duk7-xrni
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    New York
    Description

    Note: As of November 10, 2023, this dataset has been archived. For the current version of this data, please visit: https://health.data.ny.gov/d/gikn-znjh This dataset reports daily on the number of people vaccinated by New York providers with at least one dose and with a complete COVID-19 vaccination series overall since December 14, 2020. New York providers include hospitals, mass vaccination sites operated by the State or local governments, pharmacies, and other providers registered with the State to serve as points of distribution. This dataset is created by the New York State Department of Health from data reported to the New York State Immunization Information System (NYSIIS) and the New York City Citywide Immunization Registry (NYC CIR). County-level vaccination data is based on data reported to NYSIIS and NYC CIR by the providers administering vaccines. Residency is self-reported by the individual being vaccinated. This data does not include vaccine administered through Federal entities or performed outside of New York State to New York residents. NYSIIS and CIR data is used for county-level statistics. New York State Department of Health requires all New York State vaccination providers to report all COVID-19 vaccination administration data to NYSIIS and NYC CIR within 24 hours of administration.

  16. United States COVID-19 Community Levels by County

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Nov 2, 2023
    + more versions
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    CDC COVID-19 Response (2023). United States COVID-19 Community Levels by County [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni
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    application/rdfxml, application/rssxml, csv, tsv, xml, jsonAvailable download formats
    Dataset updated
    Nov 2, 2023
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC COVID-19 Response
    License

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

    Area covered
    United States
    Description

    Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.

    This archived public use dataset has 11 data elements reflecting United States COVID-19 community levels for all available counties.

    The COVID-19 community levels were developed using a combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days. The COVID-19 community level was determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge.

    Using these data, the COVID-19 community level was classified as low, medium, or high.

    COVID-19 Community Levels were used to help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals.

    For the most accurate and up-to-date data for any county or state, visit the relevant health department website. COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.

    Archived Data Notes:

    This dataset was renamed from "United States COVID-19 Community Levels by County as Originally Posted" to "United States COVID-19 Community Levels by County" on March 31, 2022.

    March 31, 2022: Column name for county population was changed to “county_population”. No change was made to the data points previous released.

    March 31, 2022: New column, “health_service_area_population”, was added to the dataset to denote the total population in the designated Health Service Area based on 2019 Census estimate.

    March 31, 2022: FIPS codes for territories American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands were re-formatted to 5-digit numeric for records released on 3/3/2022 to be consistent with other records in the dataset.

    March 31, 2022: Changes were made to the text fields in variables “county”, “state”, and “health_service_area” so the formats are consistent across releases.

    March 31, 2022: The “%” sign was removed from the text field in column “covid_inpatient_bed_utilization”. No change was made to the data. As indicated in the column description, values in this column represent the percentage of staffed inpatient beds occupied by COVID-19 patients (7-day average).

    March 31, 2022: Data values for columns, “county_population”, “health_service_area_number”, and “health_service_area” were backfilled for records released on 2/24/2022. These columns were added since the week of 3/3/2022, thus the values were previously missing for records released the week prior.

    April 7, 2022: Updates made to data released on 3/24/2022 for Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands to correct a data mapping error.

    April 21, 2022: COVID-19 Community Level (CCL) data released for counties in Nebraska for the week of April 21, 2022 have 3 counties identified in the high category and 37 in the medium category. CDC has been working with state officials to verify the data submitted, as other data systems are not providing alerts for substantial increases in disease transmission or severity in the state.

    May 26, 2022: COVID-19 Community Level (CCL) data released for McCracken County, KY for the week of May 5, 2022 have been updated to correct a data processing error. McCracken County, KY should have appeared in the low community level category during the week of May 5, 2022. This correction is reflected in this update.

    May 26, 2022: COVID-19 Community Level (CCL) data released for several Florida counties for the week of May 19th, 2022, have been corrected for a data processing error. Of note, Broward, Miami-Dade, Palm Beach Counties should have appeared in the high CCL category, and Osceola County should have appeared in the medium CCL category. These corrections are reflected in this update.

    May 26, 2022: COVID-19 Community Level (CCL) data released for Orange County, New York for the week of May 26, 2022 displayed an erroneous case rate of zero and a CCL category of low due to a data source error. This county should have appeared in the medium CCL category.

    June 2, 2022: COVID-19 Community Level (CCL) data released for Tolland County, CT for the week of May 26, 2022 have been updated to correct a data processing error. Tolland County, CT should have appeared in the medium community level category during the week of May 26, 2022. This correction is reflected in this update.

    June 9, 2022: COVID-19 Community Level (CCL) data released for Tolland County, CT for the week of May 26, 2022 have been updated to correct a misspelling. The medium community level category for Tolland County, CT on the week of May 26, 2022 was misspelled as “meduim” in the data set. This correction is reflected in this update.

    June 9, 2022: COVID-19 Community Level (CCL) data released for Mississippi counties for the week of June 9, 2022 should be interpreted with caution due to a reporting cadence change over the Memorial Day holiday that resulted in artificially inflated case rates in the state.

    July 7, 2022: COVID-19 Community Level (CCL) data released for Rock County, Minnesota for the week of July 7, 2022 displayed an artificially low case rate and CCL category due to a data source error. This county should have appeared in the high CCL category.

    July 14, 2022: COVID-19 Community Level (CCL) data released for Massachusetts counties for the week of July 14, 2022 should be interpreted with caution due to a reporting cadence change that resulted in lower than expected case rates and CCL categories in the state.

    July 28, 2022: COVID-19 Community Level (CCL) data released for all Montana counties for the week of July 21, 2022 had case rates of 0 due to a reporting issue. The case rates have been corrected in this update.

    July 28, 2022: COVID-19 Community Level (CCL) data released for Alaska for all weeks prior to July 21, 2022 included non-resident cases. The case rates for the time series have been corrected in this update.

    July 28, 2022: A laboratory in Nevada reported a backlog of historic COVID-19 cases. As a result, the 7-day case count and rate will be inflated in Clark County, NV for the week of July 28, 2022.

    August 4, 2022: COVID-19 Community Level (CCL) data was updated on August 2, 2022 in error during performance testing. Data for the week of July 28, 2022 was changed during this update due to additional case and hospital data as a result of late reporting between July 28, 2022 and August 2, 2022. Since the purpose of this data set is to provide point-in-time views of COVID-19 Community Levels on Thursdays, any changes made to the data set during the August 2, 2022 update have been reverted in this update.

    August 4, 2022: COVID-19 Community Level (CCL) data for the week of July 28, 2022 for 8 counties in Utah (Beaver County, Daggett County, Duchesne County, Garfield County, Iron County, Kane County, Uintah County, and Washington County) case data was missing due to data collection issues. CDC and its partners have resolved the issue and the correction is reflected in this update.

    August 4, 2022: Due to a reporting cadence change, case rates for all Alabama counties will be lower than expected. As a result, the CCL levels published on August 4, 2022 should be interpreted with caution.

    August 11, 2022: COVID-19 Community Level (CCL) data for the week of August 4, 2022 for South Carolina have been updated to correct a data collection error that resulted in incorrect case data. CDC and its partners have resolved the issue and the correction is reflected in this update.

    August 18, 2022: COVID-19 Community Level (CCL) data for the week of August 11, 2022 for Connecticut have been updated to correct a data ingestion error that inflated the CT case rates. CDC, in collaboration with CT, has resolved the issue and the correction is reflected in this update.

    August 25, 2022: A laboratory in Tennessee reported a backlog of historic COVID-19 cases. As a result, the 7-day case count and rate may be inflated in many counties and the CCLs published on August 25, 2022 should be interpreted with caution.

    August 25, 2022: Due to a data source error, the 7-day case rate for St. Louis County, Missouri, is reported as zero in the COVID-19 Community Level data released on August 25, 2022. Therefore, the COVID-19 Community Level for this county should be interpreted with caution.

    September 1, 2022: Due to a reporting issue, case rates for all Nebraska counties will include 6 days of data instead of 7 days in the COVID-19 Community Level (CCL) data released on September 1, 2022. Therefore, the CCLs for all Nebraska counties should be interpreted with caution.

    September 8, 2022: Due to a data processing error, the case rate for Philadelphia County, Pennsylvania,

  17. U

    United States SB: MA: COVID Test/Vaccine: Negative COVID Test: No

    • ceicdata.com
    Updated Apr 23, 2022
    + more versions
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    CEICdata.com (2022). United States SB: MA: COVID Test/Vaccine: Negative COVID Test: No [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-northeast-region/sb-ma-covid-testvaccine-negative-covid-test-no
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    Dataset updated
    Apr 23, 2022
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 27, 2021 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: MA: COVID Test/Vaccine: Negative COVID Test: No data was reported at 80.500 % in 11 Apr 2022. This records a decrease from the previous number of 80.700 % for 04 Apr 2022. United States SB: MA: COVID Test/Vaccine: Negative COVID Test: No data is updated weekly, averaging 76.450 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 82.800 % in 15 Nov 2021 and a record low of 66.100 % in 10 Jan 2022. United States SB: MA: COVID Test/Vaccine: Negative COVID Test: No data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S049: Small Business Pulse Survey: by State: Northeast Region: Weekly, Beg Monday (Discontinued).

  18. Attitude toward vaccination against COVID-19 in Russia 2020

    • statista.com
    Updated Dec 14, 2020
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    Statista (2020). Attitude toward vaccination against COVID-19 in Russia 2020 [Dataset]. https://www.statista.com/statistics/1132007/effectiveness-of-implementation-of-mass-vaccination-against-covid-19/
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    Dataset updated
    Dec 14, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 11, 2020 - Nov 13, 2020
    Area covered
    Russia
    Description

    The vaccination against the coronavirus (COVID-19) would contain the spread of the disease, according to 42 percent of Russians in December 2020. However, one third of respondents did not believe that that measure would be able to stop the epidemic.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  19. m

    Viral respiratory illness reporting

    • mass.gov
    Updated Oct 21, 2022
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    Executive Office of Health and Human Services (2023). Viral respiratory illness reporting [Dataset]. https://www.mass.gov/info-details/viral-respiratory-illness-reporting
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    Dataset updated
    Oct 21, 2022
    Dataset provided by
    Executive Office of Health and Human Services
    Department of Public Health
    Area covered
    Massachusetts
    Description

    The following dashboards provide data on contagious respiratory viruses, including acute respiratory diseases, COVID-19, influenza (flu), and respiratory syncytial virus (RSV) in Massachusetts. The data presented here can help track trends in respiratory disease and vaccination activity across Massachusetts.

  20. g

    New York State Statewide COVID-19 Vaccination Data by Age Group (Archived)

    • gimi9.com
    • health.data.ny.gov
    Updated Jan 20, 2022
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    (2022). New York State Statewide COVID-19 Vaccination Data by Age Group (Archived) [Dataset]. https://gimi9.com/dataset/ny_ksjn-24s4/
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    Dataset updated
    Jan 20, 2022
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    New York
    Description

    Note: As of 1/22/25, this dataset is no longer updated. This dataset reports the number of people vaccinated by New York providers with at least one dose and with a complete COVID-19 vaccination series overall since December 14, 2020. Currently, three COVID-19 vaccines have been authorized for emergency use by the FDA and approved by New York State's independent Clinical Advisory Task Force: one that was developed by Pfizer and BioNTech, a second that was developed by Moderna and a third that was developed by Janssen/Johnson & Johnson. New York providers include hospitals, mass vaccination sites operated by the State or local governments, pharmacies, and other providers registered with the state to serve as points of distribution. This dataset is created by the New York State Department of Health from data reported to the New York State Immunization Information System (NYSIIS) and the New York City Citywide Immunization Registry (NYC CIR). NYSIIS and CIR are confidential, secure, web-based systems that collect and maintain immunization information in one consolidated record for persons of all ages in NYS governed by Public Health Law 2168. Health care providers are required, by law, to enter all vaccines administered to children up to age 19. Immunizations administered to adults 19 and older may be reported with consent. New York State Department of Health requires all New York State vaccination providers to report all COVID-19 vaccination administration data to NYSIIS and NYC CIR within 24 hours of administration. Vaccination data by age is based on address data reported to NYSIIS and NYC CIR by the providers administering vaccines. Age is calculated by subtracting the dob from the date of vaccination. Note that COVID-19 vaccine availability greatly expanded for the different age groups over the period of time this dataset covers. This data does not include vaccine administered through Federal entities or performed outside of New York State to New York residents. NYSIIS and CIR data is used for age group statistics. This dataset is updated weekly.

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Close
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Department of Public Health (2020). Massachusetts COVID-19 vaccination data [Dataset]. https://www.mass.gov/info-details/massachusetts-covid-19-vaccination-data

Massachusetts COVID-19 vaccination data

Explore at:
18 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 16, 2020
Dataset authored and provided by
Department of Public Health
Area covered
Massachusetts
Description

View the latest data about COVID-19 vaccine in Massachusetts.

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