Perceived Vulnerability to Disease, Resilience, and Mental Health Outcome of Korean Immigrants amid the COVID-19 Pandemic: A Machine Learning Approach

Author:

Choi Shinwoo1ORCID,Kim Yong Je2,Nam Boo Hyun3,Hong Joo Young4,Cummings Cristy E.5ORCID

Affiliation:

1. Assistant Professor, School of Social Work, Texas State Univ., San Marcos, TX 78666. ORCID: .

2. Assistant Professor, Dept. of Civil and Environmental Engineering, Lamar Univ., Beaumont, TX 77710 (corresponding author).

3. Associate Professor, Dept. of Civil Engineering, Kyung Hee Univ., Yongin-si, Gyeonggi-do 17104, Republic of Korea.

4. Teacher of the Deaf, Clarke Schools for Hearing and Speech, 9603 Old St., Augustine Rd., Suite #7, Jacksonville, FL 32257.

5. Assistant Professor, Dept. of Sociology, Anthropology, and Social Work, Univ. of North Florida, Jacksonville, FL 32224. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Social Sciences,General Environmental Science,Civil and Structural Engineering,Building and Construction

Reference62 articles.

1. The investigation of validity and reliability of a scale of perceived vulnerability to disease in Iran;Ahmadzadeh M.;Br. J. Social Sci.,2013

2. The fear of COVID-19 scale: Development and initial validation;Ahorsu D. K.;Int. J. Mental Health Addict.,2020

3. Predicting elderly depression: An artificial neural network model;Allahyri E.;Iran. J. Psychiatry Behav. Sci.,2019

4. Mental health interventions to build resilience;Black L.;Aust. J. Emergency Manage.,2018

5. Weighing the Costs of Disaster

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