7 datasets found
  1. Overall, male and female 5-year HIV diagnoses rates and independent...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Bisola O. Ojikutu; Sumeeta Srinivasan; Laura M. Bogart; S. V. Subramanian; Kenneth H. Mayer (2023). Overall, male and female 5-year HIV diagnoses rates and independent variables by city. [Dataset]. http://doi.org/10.1371/journal.pone.0198258.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bisola O. Ojikutu; Sumeeta Srinivasan; Laura M. Bogart; S. V. Subramanian; Kenneth H. Mayer
    License

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

    Description

    Overall, male and female 5-year HIV diagnoses rates and independent variables by city.

  2. f

    Univariate negative binomial regression models of 5-year overall, male and...

    • plos.figshare.com
    xls
    Updated Jun 18, 2023
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    Bisola O. Ojikutu; Sumeeta Srinivasan; Laura M. Bogart; S. V. Subramanian; Kenneth H. Mayer (2023). Univariate negative binomial regression models of 5-year overall, male and female HIV diagnoses rates. [Dataset]. http://doi.org/10.1371/journal.pone.0198258.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 18, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bisola O. Ojikutu; Sumeeta Srinivasan; Laura M. Bogart; S. V. Subramanian; Kenneth H. Mayer
    License

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

    Description

    Univariate negative binomial regression models of 5-year overall, male and female HIV diagnoses rates.

  3. Multilevel regression models of overall and gender stratified 5-year HIV...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Bisola O. Ojikutu; Sumeeta Srinivasan; Laura M. Bogart; S. V. Subramanian; Kenneth H. Mayer (2023). Multilevel regression models of overall and gender stratified 5-year HIV diagnoses rates. [Dataset]. http://doi.org/10.1371/journal.pone.0198258.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bisola O. Ojikutu; Sumeeta Srinivasan; Laura M. Bogart; S. V. Subramanian; Kenneth H. Mayer
    License

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

    Description

    Multilevel regression models of overall and gender stratified 5-year HIV diagnoses rates.

  4. Spearman correlations among independent covariates and overall, male, and...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Bisola O. Ojikutu; Sumeeta Srinivasan; Laura M. Bogart; S. V. Subramanian; Kenneth H. Mayer (2023). Spearman correlations among independent covariates and overall, male, and female 5-year HIV diagnoses rates. [Dataset]. http://doi.org/10.1371/journal.pone.0198258.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bisola O. Ojikutu; Sumeeta Srinivasan; Laura M. Bogart; S. V. Subramanian; Kenneth H. Mayer
    License

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

    Description

    Spearman correlations among independent covariates and overall, male, and female 5-year HIV diagnoses rates.

  5. f

    Potential geographic "hotspots" for drug-injection related transmission of...

    • plos.figshare.com
    pdf
    Updated May 31, 2023
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    D. C. Des Jarlais; H. L. F. Cooper; K. Arasteh; J. Feelemyer; C. McKnight; Z. Ross (2023). Potential geographic "hotspots" for drug-injection related transmission of HIV and HCV and for initiation into injecting drug use in New York City, 2011-2015, with implications for the current opioid epidemic in the US [Dataset]. http://doi.org/10.1371/journal.pone.0194799
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    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    D. C. Des Jarlais; H. L. F. Cooper; K. Arasteh; J. Feelemyer; C. McKnight; Z. Ross
    License

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

    Area covered
    New York
    Description

    ObjectiveWe identified potential geographic “hotspots” for drug-injecting transmission of HIV and hepatitis C virus (HCV) among persons who inject drugs (PWID) in New York City. The HIV epidemic among PWID is currently in an “end of the epidemic” stage, while HCV is in a continuing, high prevalence (> 50%) stage.MethodsWe recruited 910 PWID entering Mount Sinai Beth Israel substance use treatment programs from 2011–2015. Structured interviews and HIV/ HCV testing were conducted. Residential ZIP codes were used as geographic units of analysis. Potential “hotspots” for HIV and HCV transmission were defined as 1) having relatively large numbers of PWID 2) having 2 or more HIV (or HCV) seropositive PWID reporting transmission risk—passing on used syringes to others, and 3) having 2 or more HIV (or HCV) seronegative PWID reporting acquisition risk—injecting with previously used needles/syringes. Hotspots for injecting drug use initiation were defined as ZIP codes with 5 or more persons who began injecting within the previous 6 years.ResultsAmong PWID, 96% injected heroin, 81% male, 34% White, 15% African-American, 47% Latinx, mean age 40 (SD = 10), 7% HIV seropositive, 62% HCV seropositive. Participants resided in 234 ZIP codes. No ZIP codes were identified as potential hotspots due to small numbers of HIV seropositive PWID reporting transmission risk. Four ZIP codes were identified as potential hotspots for HCV transmission. 12 ZIP codes identified as hotspots for injecting drug use initiation.DiscussionFor HIV, the lack of potential hotspots is further validation of widespread effectiveness of efforts to reduce injecting-related HIV transmission. Injecting-related HIV transmission is likely to be a rare, random event. HCV prevention efforts should include focus on potential hotspots for transmission and on hotspots for initiation into injecting drug use. We consider application of methods for the current opioid epidemic in the US.

  6. f

    Characteristics of Cases inside the Multinomial Haarlem Clusters.

    • figshare.com
    xls
    Updated Jun 1, 2023
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    Marie Nancy Séraphin; Michael Lauzardo; Richard T. Doggett; Jose Zabala; J. Glenn Morris Jr.; Jason K. Blackburn (2023). Characteristics of Cases inside the Multinomial Haarlem Clusters. [Dataset]. http://doi.org/10.1371/journal.pone.0153575.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Marie Nancy Séraphin; Michael Lauzardo; Richard T. Doggett; Jose Zabala; J. Glenn Morris Jr.; Jason K. Blackburn
    License

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

    Area covered
    Haarlem
    Description

    Characteristics of Cases inside the Multinomial Haarlem Clusters.

  7. Characteristics of Genotyped Tuberculosis Cases in Florida, 2009–2013.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Marie Nancy Séraphin; Michael Lauzardo; Richard T. Doggett; Jose Zabala; J. Glenn Morris Jr.; Jason K. Blackburn (2023). Characteristics of Genotyped Tuberculosis Cases in Florida, 2009–2013. [Dataset]. http://doi.org/10.1371/journal.pone.0153575.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Marie Nancy Séraphin; Michael Lauzardo; Richard T. Doggett; Jose Zabala; J. Glenn Morris Jr.; Jason K. Blackburn
    License

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

    Description

    Characteristics of Genotyped Tuberculosis Cases in Florida, 2009–2013.

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

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Bisola O. Ojikutu; Sumeeta Srinivasan; Laura M. Bogart; S. V. Subramanian; Kenneth H. Mayer (2023). Overall, male and female 5-year HIV diagnoses rates and independent variables by city. [Dataset]. http://doi.org/10.1371/journal.pone.0198258.t001
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Overall, male and female 5-year HIV diagnoses rates and independent variables by city.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 3, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Bisola O. Ojikutu; Sumeeta Srinivasan; Laura M. Bogart; S. V. Subramanian; Kenneth H. Mayer
License

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

Description

Overall, male and female 5-year HIV diagnoses rates and independent variables by city.

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