Who Knows Your HIV Status II
Information Propagation Within Social Networks of Seropositive People
Datos Bibliográficos
| ID | 18978401 |
|---|---|
| Autores | Gene A Shelley (Centers for Disease Control and Prevention, autor de correspondencia), Peter D Killworth (National Oceanography Centre), H R Bernard (0000-0002-1367-2813, University of Florida), C Mccarty (0000-0002-2917-8318, University of Florida), Eugene C Johnsen (University of California, Santa Barbara), R E Rice (0000-0002-6374-7860, University of California, Santa Barbara) |
| Año | 2006 |
| Volumen | 65 |
| Número | 4 |
| Páginas | 430-444 |
| Fecha de publicación | 2006-12-01 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Human Organization (JOURNAL) |
| Identificadores de la revista | ISSN: 0018-7259 • E-ISSN: 1938-3517 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.17730/humo.65.4.08mwg9d3nfy8w9th |
| OpenAlex | W1963509925 |
| Idioma | EN |
| Citas recibidas | 8 |
| Referencias citadas | 27 |
We seek to explain on what basis people choose to tell stigmatizing information about themselves to others. In particular, are there any rules governing how such decisions are made? We asked 70 HIV-positive individuals whether they knew various items of knowledge about their network members, and vice versa. These items range from things which might be known easily (e.g., marital status), things which are more difficult to know (e.g., blood type), to potentially stigmatizing information such as criminal record and HIV status. The information that one person knows about another may predict whether the latter’s HIV status is also known. We examine this question using a combination of ethnography and decision trees. Even an apparently simple decision – whether or not to tell someone that you are seropositive – turns out to be complicated; yet the complexity can be extracted from open-ended interviews
Ethnography · Human immunodeficiency virus (HIV) · Internet privacy · Marital status · Population · Sociology · Computer Science · Demography · HIV Research and Treatment · HIV, Drug Use, Sexual Risk · HIV/AIDS Research and Interventions · Medicine · Psychology · Social Psychology
How Many People Do You Know?
Social networks and stigma
The game of contacts
Becoming visible, being heard? Community interpretations of first-person stories about living with HIV/Aids in Quebec daily newspapers
Generalizing the Network Scale-up Method
National population size estimation of illicit drug users through the network scale-up method in 2013 in Iran
HIV-Related Stigma among African Immigrants Living with HIV/Aids in USA
Estimating abortion incidence using the network scale-up method
A Disclosure Decision Model
Reasons for HIV Disclosure/Nondisclosure in Close Relationships
Index
Do gay men discuss HIV risk reduction with their GP
When Children Tell Their Friends They Have Aids
Public Communication Campaigns
Testing an Ethnographic Decision Tree Model on a National Sample
Can We Predict What Mothers Do? Modeling Childhood Diarrhea in Rural Mexico
Comparing Two Methods for Estimating Network Size
Network items and the general social survey
Who knows your HIV status? What HIV + patients and their network members know about each other
Estimating the size of personal networks
Measurement of the Role of Families in Prevention and Adaptation to HIV/Aids
Through an Ethnographic Lens
HIV Disclosure Among Women of African Descent
Internalized Stigma Among People Living with HIV-Aids
Stigma and the Ethnographic Study of HIV
Injection Drug Users' Disclosure of HIV Seropositive Status to Network Members
Medical Choice in a Mexican Village
Stigma as an Obstacle to Aids Action
Economic decision making in a public marketplace
To Dwell among Friends
Predicting Treatment-Seeking Behavior in Guatemala
A model of illness treatment decisions in a Tarascan town
Do Mfantse fish sellers estimate probabilities in their heads
Applying Cognitive Decision Theory to the Study of Regional Patterns of Illness Treatment Choice
Some Explorations in Initial Interaction and Beyond
| Obras citantes distintas | 8 |
|---|---|
| Citas por año | 0,5 |
| Intervalo de citas | 2010 - 2024 (15) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 8 |