Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Hannah Noel Ziobrowski, Ph.D.


This page shows the publications co-authored by Hannah Ziobrowski and Victor Puac-Polanco.
Connection Strength

  1. Development of a model to predict psychotherapy response for depression among Veterans. Psychol Med. 2022 Feb 11; 1-10.
    View in: PubMed
    Score: 0.247
  2. Development and Validation of a Model to Predict Posttraumatic Stress Disorder and Major Depression After a Motor Vehicle Collision. JAMA Psychiatry. 2021 11 01; 78(11):1228-1237.
    View in: PubMed
    Score: 0.242
  3. Comorbid mental disorders, depression symptom severity, and role impairment among Veterans initiating depression treatment through the Veterans Health Administration. J Affect Disord. 2021 07 01; 290:227-236.
    View in: PubMed
    Score: 0.233
  4. Treatment Differences in Primary and Specialty Settings in Veterans with Major Depression. J Am Board Fam Med. 2021 Mar-Apr; 34(2):268-290.
    View in: PubMed
    Score: 0.231
  5. Changes in Prevalence of Mental Illness Among US Adults During Compared with Before the COVID-19 Pandemic. Psychiatr Clin North Am. 2022 03; 45(1):1-28.
    View in: PubMed
    Score: 0.061
  6. Are Veterans Getting Their Preferred Depression Treatment? A National Observational Study in the Veterans Health Administration. J Gen Intern Med. 2021 Oct 06.
    View in: PubMed
    Score: 0.060
  7. Perceived helpfulness of bipolar disorder treatment: Findings from the World Health Organization World Mental Health Surveys. Bipolar Disord. 2021 09; 23(6):565-583.
    View in: PubMed
    Score: 0.058
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.