View in EDS

Spatially varying associations between a small-area index of livability and mental health outcomes in New York City: A geographically weighted Poisson regression approach.

Saved in:
Bibliographic Details
Title: Spatially varying associations between a small-area index of livability and mental health outcomes in New York City: A geographically weighted Poisson regression approach.
Authors: Agarwal K; Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, NY USA., Thompson RL; Department of Environmental, Occupational, and Geospatial Health Sciences, Graduate School of Public Health and Health Policy, City University of New York (CUNY), 55 West 125th Street, New York, NY 10017, USA., Johnson GD; Department of Environmental, Occupational, and Geospatial Health Sciences, Graduate School of Public Health and Health Policy, City University of New York (CUNY), 55 West 125th Street, New York, NY 10017, USA. Electronic address: glen.johnson@sph.cuny.edu.
Source: Spatial and spatio-temporal epidemiology [Spat Spatiotemporal Epidemiol] 2026 Jun; Vol. 57, pp. 100806. Date of Electronic Publication: 2026 Apr 01.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101516571 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1877-5853 (Electronic) Linking ISSN: 18775845 NLM ISO Abbreviation: Spat Spatiotemporal Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42285627
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Spatially varying associations between a small-area index of livability and mental health outcomes in New York City: A geographically weighted Poisson regression approach.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Agarwal+K%22">Agarwal K</searchLink>; Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York (CUNY), New York, NY USA.<br /><searchLink fieldCode="AU" term="%22Thompson+RL%22">Thompson RL</searchLink>; Department of Environmental, Occupational, and Geospatial Health Sciences, Graduate School of Public Health and Health Policy, City University of New York (CUNY), 55 West 125th Street, New York, NY 10017, USA.<br /><searchLink fieldCode="AU" term="%22Johnson+GD%22">Johnson GD</searchLink>; Department of Environmental, Occupational, and Geospatial Health Sciences, Graduate School of Public Health and Health Policy, City University of New York (CUNY), 55 West 125th Street, New York, NY 10017, USA. Electronic address: glen.johnson@sph.cuny.edu.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101516571%22">Spatial and spatio-temporal epidemiology</searchLink> [Spat Spatiotemporal Epidemiol] 2026 Jun; Vol. 57, pp. 100806. <i>Date of Electronic Publication: </i>2026 Apr 01.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101516571 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1877-5853 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218775845%22">18775845 </searchLink><i>NLM ISO Abbreviation: </i>Spat Spatiotemporal Epidemiol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42285627
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.sste.2026.100806
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 100806
    Titles:
      – TitleFull: Spatially varying associations between a small-area index of livability and mental health outcomes in New York City: A geographically weighted Poisson regression approach.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Agarwal K
      – PersonEntity:
          Name:
            NameFull: Thompson RL
      – PersonEntity:
          Name:
            NameFull: Johnson GD
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1877-5853
          Numbering:
            – Type: volume
              Value: 57
          Titles:
            – TitleFull: Spatial and spatio-temporal epidemiology
              Type: main
ResultId 1