12 datasets found
  1. Data from: By-degree Health and Economic Impacts of Lyme Disease, Eastern...

    • catalog.data.gov
    • datasets.ai
    Updated Mar 21, 2024
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    U.S. Environmental Protection Agency (2024). By-degree Health and Economic Impacts of Lyme Disease, Eastern and Midwestern United States [Dataset]. https://catalog.data.gov/dataset/by-degree-health-and-economic-impacts-of-lyme-disease-eastern-and-midwestern-united-states
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    Dataset updated
    Mar 21, 2024
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    Midwestern United States, United States
    Description

    Data for "By-degree Health and Economic Impacts of Lyme Disease, Eastern and Midwestern United States", published March 2024. The datasets show cases by state, fips code, case status, sex, age (by 5-year increments), and frequency. Citation information for this dataset can be found in Data.gov's References section.

  2. p

    Counts of Lyme disease reported in UNITED STATES OF AMERICA: 1990-2016

    • tycho.pitt.edu
    Updated Apr 1, 2018
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    Willem G Van Panhuis; Anne L Cross; Donald S Burke (2018). Counts of Lyme disease reported in UNITED STATES OF AMERICA: 1990-2016 [Dataset]. https://www.tycho.pitt.edu/dataset/US.23502006
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    Dataset updated
    Apr 1, 2018
    Dataset provided by
    Project Tycho, University of Pittsburgh
    Authors
    Willem G Van Panhuis; Anne L Cross; Donald S Burke
    Time period covered
    1990 - 2016
    Area covered
    United States
    Description

    Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

    Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

    Depending on the intended use of a dataset, we recommend a few data processing steps before analysis: - Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. - Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

  3. NNDSS - Table II. Lyme disease to Meningococcal

    • healthdata.gov
    • data.virginia.gov
    • +3more
    application/rdfxml +5
    Updated Feb 25, 2021
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    data.cdc.gov (2021). NNDSS - Table II. Lyme disease to Meningococcal [Dataset]. https://healthdata.gov/w/mp4m-4hay/_variation_?cur=OBDdevsPVm-&from=root
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    xml, application/rdfxml, json, tsv, csv, application/rssxmlAvailable download formats
    Dataset updated
    Feb 25, 2021
    Dataset provided by
    data.cdc.gov
    Description

    NNDSS - Table II. Lyme disease to Meningococcal - 2014In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Data for meningococcal disease, invasive caused by serogroups A, C, Y, & W-135; serogroup B; other serogroup; and unknown serogroup are available in Table I.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.

  4. NNDSS - Table II. Lyme disease to Meningococcal

    • catalog.data.gov
    • healthdata.gov
    • +3more
    Updated Jun 10, 2021
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    Centers for Disease Control and Prevention (2021). NNDSS - Table II. Lyme disease to Meningococcal [Dataset]. https://catalog.data.gov/dataset/nndss-table-ii-lyme-disease-to-meningococcal-f3409
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    Dataset updated
    Jun 10, 2021
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NNDSS - Table II. Lyme disease to Meningococcal - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note: These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. † Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. § Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.

  5. A

    ‘NNDSS - Table II. Lyme disease to Meningococcal’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 27, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘NNDSS - Table II. Lyme disease to Meningococcal’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-nndss-table-ii-lyme-disease-to-meningococcal-db69/latest
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    Dataset updated
    Jan 27, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘NNDSS - Table II. Lyme disease to Meningococcal’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/58858116-2577-48af-9d8a-3d4dac7a42b2 on 27 January 2022.

    --- Dataset description provided by original source is as follows ---

    NNDSS - Table II. Lyme disease to Meningococcal - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. �� Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.

    --- Original source retains full ownership of the source dataset ---

  6. nndss-table-ii-lyme-disease-to-meningococcal

    • huggingface.co
    Updated Jan 5, 2017
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    Department of Health and Human Services (2017). nndss-table-ii-lyme-disease-to-meningococcal [Dataset]. https://huggingface.co/datasets/HHS-Official/nndss-table-ii-lyme-disease-to-meningococcal
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    Dataset updated
    Jan 5, 2017
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    Department of Health and Human Services
    License

    https://choosealicense.com/licenses/odbl/https://choosealicense.com/licenses/odbl/

    Description

    NNDSS - Table II. Lyme disease to Meningococcal

      Description
    

    NNDSS - Table II. Lyme disease to Meningococcal - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/nndss-table-ii-lyme-disease-to-meningococcal.

  7. lymedisease9211county

    • huggingface.co
    Updated Aug 27, 2015
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    Department of Health and Human Services (2015). lymedisease9211county [Dataset]. https://huggingface.co/datasets/HHS-Official/lymedisease9211county
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    Dataset updated
    Aug 27, 2015
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    Department of Health and Human Services
    License

    https://choosealicense.com/licenses/odbl/https://choosealicense.com/licenses/odbl/

    Description

    LymeDisease_9211_county

      Description
    

    To facilitate the public health and research community's access to NNDSS data on Lyme disease, CDC has developed a public use dataset. Based on reports submitted to CDC, this dataset provides the number of confirmed cases by county for the years 1992���2011, in four 5���year intervals. County tabulation is by American National Standard Institute (ANSI) [formerly Federal Information Processing Standard (FIPS)] codes. County codes of "0"… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/lymedisease9211county.

  8. NNDSS - Table II. Lyme disease to Meningococcal

    • s.cnmilf.com
    Updated Jun 28, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). NNDSS - Table II. Lyme disease to Meningococcal [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/nndss-table-ii-lyme-disease-to-meningococcal-f3409
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NNDSS - Table II. Lyme disease to Meningococcal - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note: These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. † Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. § Data for meningococcal disease, invasive caused by serogroups ACWY; serogroup B; other serogroup; and unknown serogroup are available in Table I.

  9. I

    Gardner Midwest Lyme Invasion Data 2020-11-18

    • databank.illinois.edu
    Updated Nov 18, 2020
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    Allison Gardner; Brian Allan (2020). Gardner Midwest Lyme Invasion Data 2020-11-18 [Dataset]. http://doi.org/10.13012/B2IDB-6050723_V2
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    Dataset updated
    Nov 18, 2020
    Authors
    Allison Gardner; Brian Allan
    License

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

    Description

    These data obtained from the peer-reviewed literature and a public database depict the geographic expansion of the black-legged tick (Ixodes scapularis) and human cases of Lyme disease in the midwestern U.S. Note: There was an omission from the first version (V1) of the data set that required us to update the data. Specifically, we failed to include the data from the article "Caporale DA, Johnson CM, Millard BJ. 2005 Presence of Borrelia burgdorferi (Spirochaetales: Spirochaetaceae) in Southern Kettle Moraine State Forest, Wisconsin, and characterization of strain W97F51. J. Med. Entomol. 42, 457–472". In the second version (V2) of the data, this omission is corrected.

  10. O

    Infectious Disease Summary Data

    • opendata.ramseycounty.us
    application/rdfxml +5
    Updated Oct 22, 2018
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    Minnesota Department of Health (2018). Infectious Disease Summary Data [Dataset]. https://opendata.ramseycounty.us/Public-Health/Infectious-Disease-Summary-Data/iw4p-s622
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    csv, xml, application/rdfxml, application/rssxml, json, tsvAvailable download formats
    Dataset updated
    Oct 22, 2018
    Dataset authored and provided by
    Minnesota Department of Health
    License

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

    Description

    Annual summary of mandatory reportable infectious diseases provided by the Minnesota Department of Health (MDH). The dataset includes counts of reportable infectious diseases confirmed for residents of the designated geographic area (e.g. Ramsey County, Minnesota, or Metro Region).

    The Metro Region includes the following counties: Anoka, Carver, Dakota, Hennepin, Ramsey, Scott and Washington

    Data notes: 1. Beginning in 2010, typhoid fever cases are included in the Salmonellosis category 2. Human Ehrlichiosis E. muris-like was renamed to E. muriseauclairensis in 2018. Reports prior to 2018 use E. muris-like 3. Due to staff being redeployed to the COVID response, no vectorborne disease data is available and only some zoonotic disease data is available for 2020. This includes: Anaplasmosis-Ehrlichiosis, undetermined, Babesiosis, Chikungunya, Dengue, Human Anaplasmosis, Human Ehrlichiosis (2 species), Jamestown Canyon, La Crosse, Lyme Disease, Malaria, Novel Influenza A, Powassan, Rocky Mountain Spotted Fever, Toxoplasmosis, West Nile Virus, Zika Virus 4. Hospitalized influenza cases reported by flu season. For example, 2017 count is from the 2016-17 flu season.

  11. f

    Models for US Lake States region created using random forests analysis with...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Stephanie R. Patton; Matthew B. Russell; Marcella A. Windmuller-Campione; Lee E. Frelich (2023). Models for US Lake States region created using random forests analysis with explanatory variables listed in order of importance predicted by the models. [Dataset]. http://doi.org/10.1371/journal.pone.0201334.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Stephanie R. Patton; Matthew B. Russell; Marcella A. Windmuller-Campione; Lee E. Frelich
    License

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

    Description

    Models for US Lake States region created using random forests analysis with explanatory variables listed in order of importance predicted by the models.

  12. f

    Summary statistics for forest inventory variables used in randomForest...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Stephanie R. Patton; Matthew B. Russell; Marcella A. Windmuller-Campione; Lee E. Frelich (2023). Summary statistics for forest inventory variables used in randomForest analysis from P2-plus and P2 plots. [Dataset]. http://doi.org/10.1371/journal.pone.0201334.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Stephanie R. Patton; Matthew B. Russell; Marcella A. Windmuller-Campione; Lee E. Frelich
    License

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

    Description

    Summary statistics for forest inventory variables used in randomForest analysis from P2-plus and P2 plots.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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U.S. Environmental Protection Agency (2024). By-degree Health and Economic Impacts of Lyme Disease, Eastern and Midwestern United States [Dataset]. https://catalog.data.gov/dataset/by-degree-health-and-economic-impacts-of-lyme-disease-eastern-and-midwestern-united-states
Organization logo

Data from: By-degree Health and Economic Impacts of Lyme Disease, Eastern and Midwestern United States

Related Article
Explore at:
Dataset updated
Mar 21, 2024
Dataset provided by
United States Environmental Protection Agencyhttp://www.epa.gov/
Area covered
Midwestern United States, United States
Description

Data for "By-degree Health and Economic Impacts of Lyme Disease, Eastern and Midwestern United States", published March 2024. The datasets show cases by state, fips code, case status, sex, age (by 5-year increments), and frequency. Citation information for this dataset can be found in Data.gov's References section.

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