Space-time clustering and Bayesian network modelling of suicide dynamics in India
Bibliographic Data
| ID | 7158795 |
|---|---|
| Authors | Anjali Anjali (0009-0006-7981-3507, Vellore Institute of Technology University), B Rushi Kumar (0000-0001-8391-098X, Vellore Institute of Technology University, corresponding author) |
| Year | 2025 |
| Volume | 8 |
| Issue | 4 |
| Publication date | 2025-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Computational Social Science (JOURNAL) |
| Journal identifiers | ISSN: 2432-2725 • E-ISSN: 2432-2717 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s42001-025-00417-4 |
| OpenAlex | W4413176865 |
| Language | EN |
| References cited | 50 |
Bayesian network · Bayesian probability · Cluster analysis · Computer Science · Data-Driven Disease Surveillance · Mental Health Research Topics · Psychology · Suicide and Self-Harm Studies · Artificial Intelligence
Suicide and suicide risk
The Social Roots of Suicide
A Bayesian network analysis of psychosocial risk and protective factors for suicidal ideation
Revealing suicide risk of young adults based on comprehensive measurements using decision tree classification
A Bayesian multilevel analysis of the longitudinal associations between relationship quality and suicidal ideation and attempts among youth with bipolar disorder
Spatial statistical analysis of regional disparities in suicide among policy units in Japan
Monitoring European data with prospective space–time scan statistics
Socio-environmental drivers and suicide in Australia
A web-based analytical framework for the detection and visualization space-time clusters of Covid-19
Network analysis of risk and protective factors for suicidal ideation in adolescents
Association of modern sexism with demographic and socioeconomic factors
| Citation velocity | historical |
|---|---|
| Highly cited | No |