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Elizabeth Bernier

Biographic Data

ID6087899
NAMEElizabeth Bernier
GIVEN NAMESElizabeth
FAMILY NAMEBernier
SIGNATUREBERNIER E
AFFILIATIONSDepartment of Psychology University of Southern Maine Portland Maine USA
ORCID0000-0001-9711-9208
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS2
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Using Experience Sampling Methodology Data to Characterize the Substance Use of Youth With or At-Risk of Psychosis

    Open Access•David M Weiss, Elizabeth Bernier et al.•ARTICLE•Frontiers in Psychiatry•2022

    CHR and EP individuals use a range of substances that may both reflect and influence other experiences in daily life experiences. Data reflected moderate to high rates of recurrent substance use with more consistent use within nicotine and cannabis classes. ESM data have the potential to increase our understanding of the dynamic relationships between substance use and symptoms and to inform treatment for individuals in early course psychosis

  • Using geographic information systems to assess community‐level vulnerability to housing insecurity in rural areas

    Open Access•Kristen D Gleason, Matthew Dube et al.•ARTICLE•Journal of Community Psychology•2022•Cited by: 2•References: 29

    Research examining homelessness in rural areas has been sparse. The current study aims to expand conceptions of rural homelessness by mapping community‐level risk factors related to housing insecurity. Geographic information systems (GIS) techniques were used to map the distribution of select community‐level risk indicators in the State of Maine. Three methodological choices related to this process are demonstrated: (1) selection and distribution…

  • Using geographic information systems to assess community‐level vulnerability to housing insecurity in rural areas

    Open Access•Kristen D Gleason, Matthew Dube et al.•ARTICLE•Journal of Community Psychology•2022•Cited by: 2•References: 29

    Research examining homelessness in rural areas has been sparse. The current study aims to expand conceptions of rural homelessness by mapping community‐level risk factors related to housing insecurity. Geographic information systems (GIS) techniques were used to map the distribution of select community‐level risk indicators in the State of Maine. Three methodological choices related to this process are demonstrated: (1) selection and distribution…

  • Using Experience Sampling Methodology Data to Characterize the Substance Use of Youth With or At-Risk of Psychosis

    Open Access•David M Weiss, Elizabeth Bernier et al.•ARTICLE•Frontiers in Psychiatry•2022

    CHR and EP individuals use a range of substances that may both reflect and influence other experiences in daily life experiences. Data reflected moderate to high rates of recurrent substance use with more consistent use within nicotine and cannabis classes. ESM data have the potential to increase our understanding of the dynamic relationships between substance use and symptoms and to inform treatment for individuals in early course psychosis

  • Using geographic information systems to assess community‐level vulnerability to housing insecurity in rural areas

    Open Access•Kristen D Gleason, Matthew Dube et al.•ARTICLE•Journal of Community Psychology•2022•Cited by: 2•References: 29

    Research examining homelessness in rural areas has been sparse. The current study aims to expand conceptions of rural homelessness by mapping community‐level risk factors related to housing insecurity. Geographic information systems (GIS) techniques were used to map the distribution of select community‐level risk indicators in the State of Maine. Three methodological choices related to this process are demonstrated: (1) selection and distribution…

Computer Science (2 works) · Bipolar Disorder and Treatment (1 work) · Business (1 work) · Cartography (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Computer security (1 work) · Distribution (mathematics) (1 work) · Economic growth (1 work) · Economics (1 work)

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