Stigmatization of Newly Emerging Infectious Diseases: AIDS and SARS
Open accessAbstract
Objectives. We assessed relationships between sociodemographic characteristics and mental health status and knowledge of, being worried about, and stigmatization of 2 emerging infectious diseases: AIDS and SARS. Methods. We conducted a random-digit-dialed survey of 928 residents of the New York City metropolitan area as part of a study of the effects of the September 11, 2001, terrorist attacks. Questions added for this study concerned respondents’ knowledge of, worry about, and support of stigmatizing actions to control AIDS and SARS. Results. In general, respondents with greater personal resources (income, education, social support) and better mental health status had more knowledge, were less worried, and were less likely to stigmatize. This pattern held for both AIDS and SARS. Conclusions. Personal resources and mental health factors are likely to influence the public’s ability to learn about, rationally appraise the threat of, and minimize stigmatization of emerging infectious diseases such as AIDS and SARS.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The early phase of an emerging outbreak tends to be characterized by intense disease-related stigma and fear due to its evolving nature and scientific uncertainties.
“Stigma was also examined as a potential factor related to mental health problems, as the early phase of an emerging outbreak tends to be characterized by intense disease-related stigma and fear due to its evolving nature and scientific uncertainties [20, 48].”
From Psychiatric symptoms, risk, and protective factors among university students in quarantine during the COVID-19 pandemic in China (2021) · cites this paper as [20]
The citation lists haven’t been fetched yet
References 19 · Cited by 140
- Authors
- Des Jarlais, D. C., Galea, S., Tracy, M., Tross, S., & Vlahov, D.
- Affiliations
- Don C. Des Jarlais and Susan Tross are with Beth Israel Medical Center, New York, NY. Sandro Galea, Melissa Tracy, and David Vlahov are with the New York Academy of Medicine, New York, NY.
- Mount Sinai Beth Israel (US)
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 2006-03
- Volume
- 96
- Issue
- 3
- Pages
- 561-567
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- PMC
- PMC1470501
- OpenAlex
- W2072910994
- Cited by
- 140
- References
- 19
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 13 · 2023: 9 · 2022: 16 · 2021: 29 · 2020: 27 · 2019: 3 · 2017: 2 · 2016: 5 · 2015: 5 · 2014: 4 · 2013: 2 · 2012: 3
- FWCI
- 1.44
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Public Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- New York Academy of Medicine
- National Institutes of Health (5r01da003574-40)
- National Institute of Mental Health (MH 066391, R01MH066391)
- National Institute on Drug Abuse (DA 017642, R01DA017642, R01-DA003574, DA 003574)
- Topics
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
- Social Sciences › Sociology and Political Science › Risk Perception and Management
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- stigmatization, emerging infectious diseases, AIDS, SARS, mental health, sociodemographic factors, public knowledge, worry, social support, income, September 11 attacks, New York City
- MeSH terms
- Acquired Immunodeficiency Syndrome, Adolescent, Adult, Aged, Female, Humans, Male, Mental Health, Middle Aged, New York City, Socioeconomic Factors, Stereotyping, Severe Acute Respiratory Syndrome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
