Computational frameworks for zoonotic disease control in Society 5.0
Opportunities, challenges and future research directions
Bibliographic Data
| ID | 20398746 |
|---|---|
| Authors | Anil Kumar Bag (0000-0002-0753-8888), Diganta Sengupta (0000-0002-7792-0388, corresponding author) |
| Year | 2025 |
| Volume | 40 |
| Issue | 4 |
| Pages | 2449-2478 |
| Publication date | 2025-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | AI & Society (JOURNAL) |
| Journal identifiers | ISSN: 0951-5666 • E-ISSN: 1435-5655 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00146-024-01992-2 |
| OpenAlex | W4399797846 |
| Language | EN |
| References cited | 100 |
Big data · Business · Citizen science · Data mining · Data science · Disease surveillance · Emerging technologies · Health care · Knowledge management · Political science · Public health · Computer Science · COVID-19 epidemiological studies · Human-Animal Interaction Studies · Medicine · Zoonotic diseases and public health
Global trends in emerging infectious diseases
Origins of major human infectious diseases
Harnessing Clinical Trial Capacity to Mitigate Zoonotic Diseases
Healthcare and anomaly detection
Local community awareness and practices on Yersinia pestis plague disease management in Nkayi and Umzingwane districts, south-western Zimbabwe
Propagating Visions of a Forest Reservoir
| Highly cited | No |
|---|