Data Visualization in Health Sciences: Foundations, Advanced Methods and Decision Intelligence integrates epidemiology, geospatial analysis, and decision intelligence into one framework. It covers statistical, spatial, and interactive techniques across R, Python, SPSS, STATA, ArcGIS, QGIS, Tableau, and Power BI, emphasizing reproducibility and ethics. Designed for postgraduate teaching and professionals, it turns complex health data into evidence-based policy decisions.
Salient Features
• Epidemiology, geospatial analysis, and decision intelligence in one framework
• Workflows across R, Python, SPSS, STATA, ArcGIS, QGIS, Tableau, and Power BI
• Disease mapping, hotspot detection, and spatio-temporal visualization
• Reproducible, open-data, and ethical visualization practices
• Connects analysis to evidence-based public health policy
Ideal for
• Postgraduate students
• Researchers and interdisciplinary research teams
• Epidemiologists
• GIS analysts
• Policymakers and professionals in capacity-building and training programs
| ISBN | 9788168093096 |
| Published Year | 2027 |
| Binding | Hardcover |
| Subject | Public Health Analytics |
| Pages | 252 |
| Weight (in kg) | 0.62 |
| Dimension (in cm) | 17.78 × 25.4 × 1.2 |
| Readership | Postgraduate students, researchers and interdisciplinary research teams, epidemiologists, GIS analysts, policy makers and professionals in capacity-building and training programs |
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