Complex Systems for a Complex Issue
Race in Health Research
Bibliographic Data
| ID | 15744686 |
|---|---|
| Authors | Abdulrahman M El-Sayed (0000-0002-4809-5630, corresponding author) |
| Year | 2014 |
| Volume | 16 |
| Issue | 6 |
| Pages | 450-454 |
| Publication date | 2014-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The AMA Journal of Ethic (JOURNAL) |
| Journal identifiers | ISSN: 2376-6980 • E-ISSN: 2376-6980 |
| Publisher | American Medical Association (PUBLISHER • US) |
| DOI | 10.1001/virtualmentor.2014.16.6.stas1-1406 |
| OpenAlex | W4255118348 |
| Language | EN |
| Citations received | 1 |
| References cited | 11 |
By embracing factors such as inter-individual interactions, environmental influences, and reciprocity and feedback, agent-based modeling and complex systems approaches enable researchers to understand why race is so strong a predictor of differences in health
Complex system · Management science · Race (biology · Reciprocity (cultural anthropology · Sociology · Climate Change and Health Impacts · Computer Science · COVID-19 epidemiological studies · Engineering · Health disparities and outcomes · Psychology · Social Psychology · Artificial Intelligence
Eight Americas
Causal thinking and complex system approaches in epidemiology
Worldwide Human Relationships Inferred from Genome-Wide Patterns of Variation
Race, Socioeconomic Status, and Health The Added Effects of Racism and Discrimination
Race/ethnicity, social class and their relation to physical inactivity during leisure time
Racial residential segregation
Racial/Ethnic Discrimination and Health
Racial/Ethnic Variations in Women's Health
The (mis)estimation of neighborhood effects
Black/white differences in the relationship of maternal age to birthweight
When work disappears
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,2 |
| Citation span | 2021 - 2021 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |