28 datasets found
  1. O

    Updated 2023-2024 COVID-19 Vaccine Coverage By Age Group

    • data.ct.gov
    • datasets.ai
    • +1more
    application/rdfxml +5
    Updated May 31, 2024
    + more versions
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    Department of Public Health (2024). Updated 2023-2024 COVID-19 Vaccine Coverage By Age Group [Dataset]. https://data.ct.gov/Health-and-Human-Services/Updated-2023-2024-COVID-19-Vaccine-Coverage-By-Age/uwzw-z5cm
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    csv, json, application/rdfxml, xml, application/rssxml, tsvAvailable download formats
    Dataset updated
    May 31, 2024
    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

    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 cumulative number and percentage of CT residents who have received an updated COVID-19 vaccine during the 2023-2024 viral respiratory season by age group (current age).
    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)
    • Population size estimates used to calculate cumulative percentages are based on 2020 DPH provisional census estimates*.
    • 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.
    * DPH Provisional State and County Characteristics Estimates April 1, 2020. Hayes L, Abdellatif E, Jiang Y, Backus K (2022) Connecticut DPH Provisional April 1, 2020, State Population Estimates by 18 age groups, sex, and 6 combined race and ethnicity groups. Connecticut Department of Public Health, Health Statistics & Surveillance, SAR, Hartford, CT.

  2. m

    COVID-19 Vaccine Equity Initiative: Community-specific vaccination data

    • mass.gov
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    Department of Public Health, COVID-19 Vaccine Equity Initiative: Community-specific vaccination data [Dataset]. https://www.mass.gov/info-details/covid-19-vaccine-equity-initiative-community-specific-vaccination-data
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    Dataset authored and provided by
    Department of Public Health
    Area covered
    Massachusetts
    Description

    Community specific data reports for vaccine administration results, updated weekly, and data from the Public Health (DPH) COVID Community Impact Survey to help target approaches.

  3. m

    COVID-19 and Flu vaccination reports for healthcare personnel

    • mass.gov
    Updated Sep 17, 2011
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    Department of Public Health (2011). 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
    Sep 17, 2011
    Dataset provided by
    Department of Public Health
    Bureau of Health Care Safety and Quality
    Division of Health Care Facility Licensure and Certification
    Bureau of Infectious Disease and Laboratory Sciences
    Area covered
    Massachusetts
    Description

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

  4. m

    School Immunizations

    • mass.gov
    Updated Aug 20, 2025
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    Bureau of Infectious Disease and Laboratory Sciences (2025). School Immunizations [Dataset]. https://www.mass.gov/info-details/school-immunizations
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    Dataset updated
    Aug 20, 2025
    Dataset provided by
    Department of Public Health
    Bureau of Infectious Disease and Laboratory Sciences
    Area covered
    Massachusetts
    Description

    Information about school immunization requirements and data

  5. S

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

    • splitgraph.com
    • data.cambridgema.gov
    Updated Apr 18, 2024
    + more versions
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    cambridgema-gov (2024). Cambridge Vaccine Demographics by Week 3/18/2021-3/29/2023 (Historical) [Dataset]. https://www.splitgraph.com/cambridgema-gov/cambridge-vaccine-demographics-by-week-r3q4-v3ae
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    application/openapi+json, application/vnd.splitgraph.image, jsonAvailable download formats
    Dataset updated
    Apr 18, 2024
    Authors
    cambridgema-gov
    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.

    Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

    See the Splitgraph documentation for more information.

  6. Prices and sales forecasts for major COVID-19 vaccines 2021-2023

    • statista.com
    Updated Mar 16, 2021
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    Statista (2021). Prices and sales forecasts for major COVID-19 vaccines 2021-2023 [Dataset]. https://www.statista.com/statistics/1221576/covid-vaccines-sales-forecast-mean-price-share-growth/
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    Dataset updated
    Mar 16, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    According to a forecast as of March, BioNTech's and Pfizer's vaccine against COVID-19 could generate sales revenues of nearly 22 billion U.S. dollars during 2021. The BioNTech/Pfizer vaccine was the first COVID-19 vaccine to be widely approved and used. German biotech company BioNTech saw a 156 percent growth in its shares in the last 12 months as of March 2021.

    Will Moderna be the big winner? Moderna is expected to be the company with the largest sales revenues from a COVID-19 vaccine. Forecasts predict that the company will make around 43 billion U.S. dollars in sales through its vaccine. Interestingly, Moderna was established in 2010 and had never made profit before the pandemic. Thus, the development of the covid vaccine based on the latest mRNA technology will mark a definitive breakthrough for the Massachusetts-based biotech company. Moderna received significant funding through taxpayer money as well as help in research and development from the National Institutes of Health.

    Vaccine pricing in a pandemic Drug pricing is always a big issue and this was also the case with COVID-19 vaccines. While some companies, like AstraZeneca, stated early on that prices for the vaccine will be on a non-profit base at least as long as the pandemic is ongoing, others took a more profit-oriented approach. However, even these companies state that their current prices are low special prices, taking into account urgent public health interests, which normally would be much higher. According to several projections, COVID-19 drugs and vaccines could establish a market worth some 40 billion U.S. dollars annually.

  7. y

    Massachusetts Coronavirus Vaccination Rate: Any Dosage

    • ycharts.com
    html
    Updated May 15, 2023
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    Our World in Data (2023). Massachusetts Coronavirus Vaccination Rate: Any Dosage [Dataset]. https://ycharts.com/indicators/massachusetts_coronavirus_vaccination_rate_any_dosage
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    htmlAvailable download formats
    Dataset updated
    May 15, 2023
    Dataset provided by
    YCharts
    Authors
    Our World in Data
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 12, 2021 - May 10, 2023
    Area covered
    Massachusetts
    Variables measured
    Massachusetts Coronavirus Vaccination Rate: Any Dosage
    Description

    View daily updates and historical trends for Massachusetts Coronavirus Vaccination Rate: Any Dosage. Source: Our World in Data. Track economic data with Y…

  8. f

    Results of state-day level difference-in-differences regression estimates of...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Yeunkyung Kim; Jihye Kim; Yue Li (2023). Results of state-day level difference-in-differences regression estimates of Massachusetts COVID-19 vaccine lottery on the number of vaccinations among adults 18 years or older. [Dataset]. http://doi.org/10.1371/journal.pone.0279283.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Yeunkyung Kim; Jihye Kim; Yue Li
    License

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

    Area covered
    Massachusetts
    Description

    Results of state-day level difference-in-differences regression estimates of Massachusetts COVID-19 vaccine lottery on the number of vaccinations among adults 18 years or older.

  9. m

    Viral respiratory illness reporting

    • mass.gov
    Updated Oct 16, 2020
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    Executive Office of Health and Human Services (2020). Viral respiratory illness reporting [Dataset]. https://www.mass.gov/info-details/viral-respiratory-illness-reporting
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    Dataset updated
    Oct 16, 2020
    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.

  10. U

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

    • ceicdata.com
    Updated Apr 23, 2022
    + more versions
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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).

  11. Best Practices to Reduce COVID-19 in Group Homes for Individuals with...

    • icpsr.umich.edu
    Updated Sep 18, 2025
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    Bartels, Stephen; Skotko, Brian (2025). Best Practices to Reduce COVID-19 in Group Homes for Individuals with Serious Mental Illness and Intellectual and Developmental Disabilities, Massachusetts, 2021-2022 [Dataset]. http://doi.org/10.3886/ICPSR39404.v1
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    Dataset updated
    Sep 18, 2025
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Bartels, Stephen; Skotko, Brian
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/39404/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/39404/terms

    Time period covered
    2021 - 2022
    Area covered
    United States, Massachusetts
    Description

    The overall goal for this project was to reduce the incidence of COVID-19, hospitalization, and mortality among adults with serious mental illness (SMI) and intellectual disabilities/developmental disabilities (IDD) in congregate living settings (i.e., group homes) in Massachusetts, as well as to reduce COVID-19 incidence among staff who work in these settings. The research team was guided by two comparative effectiveness questions: With the goal of prioritizing and making actionable best practices available as resources, what is the comparative effectiveness of various types and intensities of preventative interventions (e.g., screening, isolation, contact tracing, hand hygiene, physical distancing, use of face masks) in reducing rates of COVID-19, related hospitalizations, and related mortality in this population? With the goal of effectively implementing best practices, what is the most effective implementation strategy to reduce rates of COVID-19 in this population: using tailored best practices (TBP) with SMI/IDD residents and staff of group homes in mind, or general best practices (GBP) from state and federal standard guidelines for all congregate care settings? The specific aims of this study were as follows: Aim 1a. Synthesize existing baseline data collected by 6 state behavioral health agencies on COVID-19 rates, hospitalization, mortality, and use of infection prevention practices. Aim 1b. Collect stakeholder input via surveys and virtual focus groups on staff and resident experiences and on barriers/facilitators to implementing recommended preventative practices. Aims 2a and 2b. Determine the comparative effectiveness of various COVID-19 preventative practices by (Aim 2a) using a validated simulation model to estimate COVID-19 spread in group homes and (Aim 2b) obtaining stakeholder input on prioritizing and defining tailored best practices for implementation. Aim 3. Compare the effectiveness of TBPs with GBPs by using a hybrid effectiveness-implementation cluster randomized controlled trial. Data collected to answer Aims 1 and 2 served as the foundation for designing the Aim 3 trial. Data for the trial were collected in 3-month intervals beginning January 2021 (baseline) until October 2022 (15-month follow-up). Residents and staff were sampled from approximately 400 group homes. Primary implementation outcome measures were COVID-19 vaccination rates and fidelity scores. The primary effectiveness outcome measure was COVID-19 infection. Notes: This collection contains only data from Aim 1a and Aim 3. Throughout the data and documentation, "intellectual and/or developmental disabilities" is abbreviated as both IDD and ID/DD.

  12. Crude and adjusted logistic regression analysis of independent variables of...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Clarice Lee; Taylor A. Holroyd; Rachel Gur-Arie; Molly Sauer; Eleonor Zavala; Alicia M. Paul; Dominick Shattuck; Ruth A. Karron; Rupali J. Limaye (2023). Crude and adjusted logistic regression analysis of independent variables of COVID-19 vaccination intention. [Dataset]. http://doi.org/10.1371/journal.pone.0261929.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Clarice Lee; Taylor A. Holroyd; Rachel Gur-Arie; Molly Sauer; Eleonor Zavala; Alicia M. Paul; Dominick Shattuck; Ruth A. Karron; Rupali J. Limaye
    License

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

    Description

    Crude and adjusted logistic regression analysis of independent variables of COVID-19 vaccination intention.

  13. 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
    Explore at:
    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).

  14. H

    Impacts of Testing, Vaccination, and Immunity on COVID-19 Cases in...

    • dataverse.harvard.edu
    Updated Jul 22, 2024
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    Zeynep Ertem (2024). Impacts of Testing, Vaccination, and Immunity on COVID-19 Cases in Massachusetts Elementary and Secondary Students: A Retrospective, State-Wide Cohort Study [Dataset]. http://doi.org/10.7910/DVN/HBK8Q8
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 22, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Zeynep Ertem
    License

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

    Area covered
    Massachusetts
    Description

    Test-to-stay modified quarantine programs implemented in elementary and secondary schools increased participation in in-person learning during the Covid-19 pandemic . Little is known about the impact of other types of testing programs, such as surveillance testing, or immunity and vaccination, on cases of COVID-19 in elementary and secondary school settings. This retrospective cohort study, which was conducted in the state of Massachusetts during the 2021- 22 academic year, found that high vaccination uptake and community immunity acquired via prior infection mitigated COVID-19 cases in elementary and secondary schools. Testing strategies, including surveillance testing programs and test-to-stay modified quarantine programs, for supporting in-person learning were safe and effective but feasibility challenges are important considerations. These data can be used to inform policy about in-school mitigation measures during future respiratory virus pandemics.

  15. f

    Massachusetts COVID-19 lottery registration deadline, drawing date, and...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Yeunkyung Kim; Jihye Kim; Yue Li (2023). Massachusetts COVID-19 lottery registration deadline, drawing date, and announcement date. [Dataset]. http://doi.org/10.1371/journal.pone.0279283.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Yeunkyung Kim; Jihye Kim; Yue Li
    License

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

    Area covered
    Massachusetts
    Description

    Massachusetts COVID-19 lottery registration deadline, drawing date, and announcement date.

  16. United States COVID-19 Community Levels by County

    • data.cdc.gov
    • healthdata.gov
    • +1more
    csv, xlsx, xml
    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
    Explore at:
    csv, xlsx, xmlAvailable 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. 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
    Latin America, Caribbean
    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.

  18. w

    Executive Order: Rescinding Mandatory Employee COVID Vaccine or Weekly...

    • opendata.worcesterma.gov
    Updated Feb 14, 2023
    + more versions
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    City of Worcester, MA (2023). Executive Order: Rescinding Mandatory Employee COVID Vaccine or Weekly Testing [Dataset]. https://opendata.worcesterma.gov/documents/0a2389eaefb54f5abb3886561f44c136
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    Dataset updated
    Feb 14, 2023
    Dataset authored and provided by
    City of Worcester, MA
    Description

    The Executive Order is relative to rescinding mandatory employee COVID vaccine or weekly testing. More information: Visit the City Manager's webpage to learn more about the current City Manager and their goals, programs, and initiatives.Informing Worcester is the City of Worcester's open data portal where interested parties can obtain public information at no cost.

  19. U

    United States SB: MA: COVID Test/Vaccine: Negative COVID Test: Yes

    • 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: Yes [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-northeast-region/sb-ma-covid-testvaccine-negative-covid-test-yes
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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: Yes data was reported at 5.900 % in 11 Apr 2022. This records a decrease from the previous number of 6.600 % for 04 Apr 2022. United States SB: MA: COVID Test/Vaccine: Negative COVID Test: Yes data is updated weekly, averaging 8.750 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 18.400 % in 03 Jan 2022 and a record low of 3.500 % in 14 Mar 2022. United States SB: MA: COVID Test/Vaccine: Negative COVID Test: Yes 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).

  20. Study participant demographics from 290 study participants enrolled in...

    • plos.figshare.com
    xls
    Updated Jul 25, 2024
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    Raquel A. Binder; Angela M. Matta; Catherine S. Forconi; Cliff I. Oduor; Prajakta Bedekar; Paul N. Patrone; Anthony J. Kearsley; Boaz Odwar; Jennifer Batista; Sarah N. Forrester; Heidi K. Leftwich; Lisa A. Cavacini; Ann M. Moormann (2024). Study participant demographics from 290 study participants enrolled in Massachusetts from April to July 2022 and 286 associated blood samples collected during the study period. [Dataset]. http://doi.org/10.1371/journal.pone.0307568.t001
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    xlsAvailable download formats
    Dataset updated
    Jul 25, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Raquel A. Binder; Angela M. Matta; Catherine S. Forconi; Cliff I. Oduor; Prajakta Bedekar; Paul N. Patrone; Anthony J. Kearsley; Boaz Odwar; Jennifer Batista; Sarah N. Forrester; Heidi K. Leftwich; Lisa A. Cavacini; Ann M. Moormann
    License

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

    Area covered
    Massachusetts
    Description

    Study participant demographics from 290 study participants enrolled in Massachusetts from April to July 2022 and 286 associated blood samples collected during the study period.

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Department of Public Health (2024). Updated 2023-2024 COVID-19 Vaccine Coverage By Age Group [Dataset]. https://data.ct.gov/Health-and-Human-Services/Updated-2023-2024-COVID-19-Vaccine-Coverage-By-Age/uwzw-z5cm

Updated 2023-2024 COVID-19 Vaccine Coverage By Age Group

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csv, json, application/rdfxml, xml, application/rssxml, tsvAvailable download formats
Dataset updated
May 31, 2024
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

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 cumulative number and percentage of CT residents who have received an updated COVID-19 vaccine during the 2023-2024 viral respiratory season by age group (current age).
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)
• Population size estimates used to calculate cumulative percentages are based on 2020 DPH provisional census estimates*.
• 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.
* DPH Provisional State and County Characteristics Estimates April 1, 2020. Hayes L, Abdellatif E, Jiang Y, Backus K (2022) Connecticut DPH Provisional April 1, 2020, State Population Estimates by 18 age groups, sex, and 6 combined race and ethnicity groups. Connecticut Department of Public Health, Health Statistics & Surveillance, SAR, Hartford, CT.

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