11 datasets found
  1. d

    MD COVID-19 - Vaccination Percent Age Group Population

    • catalog.data.gov
    • opendata.maryland.gov
    • +1more
    Updated Jun 21, 2025
    + more versions
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    opendata.maryland.gov (2025). MD COVID-19 - Vaccination Percent Age Group Population [Dataset]. https://catalog.data.gov/dataset/md-covid-19-vaccination-percent-age-group-population
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    Dataset updated
    Jun 21, 2025
    Dataset provided by
    opendata.maryland.gov
    Description

    Regarding all Vaccination Data The date of Last Update is 4/21/2023. Additionally on 4/27/2023 several COVID-19 datasets were retired and no longer included in public COVID-19 data dissemination. See this link for more information https://imap.maryland.gov/pages/covid-data Summary The cumulative number of COVID-19 vaccinations percent age group population: 16-17; 18-49; 50-64; 65 Plus. Description COVID-19 - Vaccination Percent Age Group Population data layer is a collection of COVID-19 vaccinations that have been reported each day into ImmuNet. COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county. Terms of Use The Spatial Data, and the information therein, (collectively the Data) is provided as is without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata. This map is for planning purposes only. MEMA does not guarantee the accuracy of any forecast or predictive elements.

  2. MD COVID-19 - Vaccination Percent Age Group Population

    • healthdata.gov
    application/rdfxml +5
    Updated Apr 3, 2021
    + more versions
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    opendata.maryland.gov (2021). MD COVID-19 - Vaccination Percent Age Group Population [Dataset]. https://healthdata.gov/State/MD-COVID-19-Vaccination-Percent-Age-Group-Populati/tyda-6j3t
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    tsv, csv, application/rdfxml, json, xml, application/rssxmlAvailable download formats
    Dataset updated
    Apr 3, 2021
    Dataset provided by
    opendata.maryland.gov
    Area covered
    Maryland
    Description

    Summary The cumulative number of COVID-19 vaccinations percent age group population: 16-17; 18-49; 50-64; 65 Plus.

    Description COVID-19 - Vaccination Percent Age Group Population data layer is a collection of COVID-19 vaccinations that have been reported each day into ImmuNet.

    COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

    Terms of Use The Spatial Data, and the information therein, (collectively the Data) is provided as is without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata. This map is for planning purposes only. MEMA does not guarantee the accuracy of any forecast or predictive elements.

  3. y

    Maryland Coronavirus Full Vaccination Rate

    • ycharts.com
    html
    Updated May 15, 2023
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    Our World in Data (2023). Maryland Coronavirus Full Vaccination Rate [Dataset]. https://ycharts.com/indicators/maryland_coronavirus_full_vaccination_rate
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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
    Maryland
    Variables measured
    Maryland Coronavirus Full Vaccination Rate
    Description

    View daily updates and historical trends for Maryland Coronavirus Full Vaccination Rate. Source: Our World in Data. Track economic data with YCharts analy…

  4. MD COVID-19 - Vaccination Percent Age Group Population - x8dk-eyxr - Archive...

    • healthdata.gov
    csv, xlsx, xml
    Updated Apr 8, 2025
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    (2025). MD COVID-19 - Vaccination Percent Age Group Population - x8dk-eyxr - Archive Repository [Dataset]. https://healthdata.gov/dataset/MD-COVID-19-Vaccination-Percent-Age-Group-Populati/ed3m-wyga
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Apr 8, 2025
    Description

    This dataset tracks the updates made on the dataset "MD COVID-19 - Vaccination Percent Age Group Population" as a repository for previous versions of the data and metadata.

  5. v

    MD COVID19 VaccinationByCounty

    • anrgeodata.vermont.gov
    • data.imap.maryland.gov
    • +3more
    Updated Jan 16, 2021
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    ArcGIS Online for Maryland (2021). MD COVID19 VaccinationByCounty [Dataset]. https://anrgeodata.vermont.gov/maps/04d60ba645b34c3b92eae5d6fa70b69b_0/about
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    Dataset updated
    Jan 16, 2021
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    SummaryThe percent of COVID-19 vaccinations by County among Maryland residents.DescriptionThe MD COVID-19 - Percent of COVID-19 vaccinations by County.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

  6. d

    SHIP Annual Season Influenza Vaccinations 2011-2021

    • catalog.data.gov
    • opendata.maryland.gov
    • +1more
    Updated Aug 16, 2024
    + more versions
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    opendata.maryland.gov (2024). SHIP Annual Season Influenza Vaccinations 2011-2021 [Dataset]. https://catalog.data.gov/dataset/ship-annual-season-influenza-vaccinations-2011-2017
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    Dataset updated
    Aug 16, 2024
    Dataset provided by
    opendata.maryland.gov
    Description

    This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated on 8/14/2024 Annual Season Influenza Vaccinations - This indicator shows the percentage of adults who are vaccinated annually against seasonal influenza. For many people, the seasonal flu is a mild illness, but for some it can lead to pneumonia, hospitalization, or death. Vaccination of persons in high-risk populations is especially important to reduce their risk of severe illness or death. Link to Data Details

  7. d

    SHIP Children (19-35 Months Old) Who Receive Recommended Vaccines 2008-2021

    • catalog.data.gov
    • opendata.maryland.gov
    • +2more
    Updated Aug 16, 2024
    + more versions
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    opendata.maryland.gov (2024). SHIP Children (19-35 Months Old) Who Receive Recommended Vaccines 2008-2021 [Dataset]. https://catalog.data.gov/dataset/ship-children-19-35-months-old-who-receive-recommended-vaccines-2008-2017
    Explore at:
    Dataset updated
    Aug 16, 2024
    Dataset provided by
    opendata.maryland.gov
    Description

    This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated on 8/14/2024 Children (19-35 Months Old) Who Receive Recommended Vaccines - This indicator shows the percentage of children (19-35 months) who received the recommended vaccines. Vaccines are among the most cost-effective clinical preventive services and are a core component of any preventive services package. Increasing vaccination rates can reduce preventable infectious diseases among young children. Link to Data Details

  8. COVID-19 vaccination coverage by district.

    • plos.figshare.com
    xls
    Updated Apr 29, 2024
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    Zerin Jannat; Hemel Das; Md. Wazed Ali; Tasnuva Wahed; Md. Nurul Alam; Md. Jasim Uddin (2024). COVID-19 vaccination coverage by district. [Dataset]. http://doi.org/10.1371/journal.pone.0302056.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 29, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Zerin Jannat; Hemel Das; Md. Wazed Ali; Tasnuva Wahed; Md. Nurul Alam; Md. Jasim Uddin
    License

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

    Description

    BackgroundVaccination has been an indispensable step in controlling the coronavirus disease pandemic. In early 2021, Bangladesh launched a mass vaccination campaign to boost the COVID-19 vaccination rate when doses were available and immunized millions in the country. Although deemed a success, disparities became conspicuous in vaccination coverage across population of different socioeconomic background.MethodsThe purpose of this cross-sectional study was to assess the vaccination coverage for three doses and detect disparities in uptake of the COVID-19 vaccine among rural population of hard-to-reach areas and urban individuals belonging to the high-risk group -defined in our study as individuals from elusive population such as floating population/street dwellers, transgender, addicts and disabled population. We conducted household survey (n = 12,298) and survey with high risk group of people (2,520). The collected primary data were analysed using descriptive statistical analysis.ResultsOur findings show that coverage for the first dose of COVID-19 vaccination was high among respondents from both rural Hard-to-reach (HTR) (92.9%) and non-HTR (94.6%) areas. However, the coverage for subsequent doses was observed to reduce significantly, especially for third dose (52.2% and 56.4% for HTR and non-HTR, respectively).ConclusionVaccination coverage among urbanites of high-risk group was found to be critically low. Vaccine hesitancy was also found to be high among individuals of this group. It is essential that the individuals of urban high-risk group be prioritized. Individuals from this group could be provided incentives (transport for disabled, monetary incentive to transgenders; food and medicine for drug user and floating people) and vaccination centers could be established with flexible schedule (morning/afternoon/evening sessions) so that they receive vaccine at their convenient time. Community engagement can be used for both high-risk group and rural population to enhance the COVID-19 vaccination coverage and lower disparities in uptake of the vaccine doses nationwide.

  9. COVID-19 vaccination coverage by dose and socio-demographic characteristics...

    • plos.figshare.com
    xls
    Updated Apr 29, 2024
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    Zerin Jannat; Hemel Das; Md. Wazed Ali; Tasnuva Wahed; Md. Nurul Alam; Md. Jasim Uddin (2024). COVID-19 vaccination coverage by dose and socio-demographic characteristics of the respondents in rural and city corporation areas. [Dataset]. http://doi.org/10.1371/journal.pone.0302056.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 29, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Zerin Jannat; Hemel Das; Md. Wazed Ali; Tasnuva Wahed; Md. Nurul Alam; Md. Jasim Uddin
    License

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

    Description

    COVID-19 vaccination coverage by dose and socio-demographic characteristics of the respondents in rural and city corporation areas.

  10. Reasons for not getting vaccinated by survey type and vaccine doses.

    • plos.figshare.com
    xls
    Updated Apr 29, 2024
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    Zerin Jannat; Hemel Das; Md. Wazed Ali; Tasnuva Wahed; Md. Nurul Alam; Md. Jasim Uddin (2024). Reasons for not getting vaccinated by survey type and vaccine doses. [Dataset]. http://doi.org/10.1371/journal.pone.0302056.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 29, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Zerin Jannat; Hemel Das; Md. Wazed Ali; Tasnuva Wahed; Md. Nurul Alam; Md. Jasim Uddin
    License

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

    Description

    Reasons for not getting vaccinated by survey type and vaccine doses.

  11. Survey with high-risk group.

    • plos.figshare.com
    zip
    Updated Apr 29, 2024
    + more versions
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    Zerin Jannat; Hemel Das; Md. Wazed Ali; Tasnuva Wahed; Md. Nurul Alam; Md. Jasim Uddin (2024). Survey with high-risk group. [Dataset]. http://doi.org/10.1371/journal.pone.0302056.s007
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 29, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Zerin Jannat; Hemel Das; Md. Wazed Ali; Tasnuva Wahed; Md. Nurul Alam; Md. Jasim Uddin
    License

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

    Description

    BackgroundVaccination has been an indispensable step in controlling the coronavirus disease pandemic. In early 2021, Bangladesh launched a mass vaccination campaign to boost the COVID-19 vaccination rate when doses were available and immunized millions in the country. Although deemed a success, disparities became conspicuous in vaccination coverage across population of different socioeconomic background.MethodsThe purpose of this cross-sectional study was to assess the vaccination coverage for three doses and detect disparities in uptake of the COVID-19 vaccine among rural population of hard-to-reach areas and urban individuals belonging to the high-risk group -defined in our study as individuals from elusive population such as floating population/street dwellers, transgender, addicts and disabled population. We conducted household survey (n = 12,298) and survey with high risk group of people (2,520). The collected primary data were analysed using descriptive statistical analysis.ResultsOur findings show that coverage for the first dose of COVID-19 vaccination was high among respondents from both rural Hard-to-reach (HTR) (92.9%) and non-HTR (94.6%) areas. However, the coverage for subsequent doses was observed to reduce significantly, especially for third dose (52.2% and 56.4% for HTR and non-HTR, respectively).ConclusionVaccination coverage among urbanites of high-risk group was found to be critically low. Vaccine hesitancy was also found to be high among individuals of this group. It is essential that the individuals of urban high-risk group be prioritized. Individuals from this group could be provided incentives (transport for disabled, monetary incentive to transgenders; food and medicine for drug user and floating people) and vaccination centers could be established with flexible schedule (morning/afternoon/evening sessions) so that they receive vaccine at their convenient time. Community engagement can be used for both high-risk group and rural population to enhance the COVID-19 vaccination coverage and lower disparities in uptake of the vaccine doses nationwide.

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opendata.maryland.gov (2025). MD COVID-19 - Vaccination Percent Age Group Population [Dataset]. https://catalog.data.gov/dataset/md-covid-19-vaccination-percent-age-group-population

MD COVID-19 - Vaccination Percent Age Group Population

Explore at:
Dataset updated
Jun 21, 2025
Dataset provided by
opendata.maryland.gov
Description

Regarding all Vaccination Data The date of Last Update is 4/21/2023. Additionally on 4/27/2023 several COVID-19 datasets were retired and no longer included in public COVID-19 data dissemination. See this link for more information https://imap.maryland.gov/pages/covid-data Summary The cumulative number of COVID-19 vaccinations percent age group population: 16-17; 18-49; 50-64; 65 Plus. Description COVID-19 - Vaccination Percent Age Group Population data layer is a collection of COVID-19 vaccinations that have been reported each day into ImmuNet. COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county. Terms of Use The Spatial Data, and the information therein, (collectively the Data) is provided as is without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata. This map is for planning purposes only. MEMA does not guarantee the accuracy of any forecast or predictive elements.

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