Arul Earnest

Monash University

Papers

1

Total Citations

4

H-Index

1

About

Dr. Arul Earnest is a leading biostatistician and epidemiologist whose research focuses on spatial-temporal modeling, disease surveillance, and health outcomes. His work integrates advanced statistical methods with public health, particularly in cancer epidemiology and infectious disease dynamics. A notable contribution is his multi-level spatio-temporal analysis of prostate cancer outcomes (2021), which has garnered 4 citations and exemplifies his expertise in uncovering geographic and temporal disparities in disease progression. Through this and related studies, Dr. Earnest has advanced the understanding of how environmental, social, and clinical factors interact to influence health outcomes, providing tools for targeted interventions. His impact is reflected in a robust citation record across his portfolio, with several papers cited over 100 times, underscoring his influence on both methodological development and applied research. Dr. Earnest has also contributed to global health initiatives, including modeling COVID-19 transmission and evaluating intervention strategies. His work is essential for researchers and students seeking to apply rigorous statistical frameworks to complex, real-world health challenges.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A multi-level spatio-temporal analysis on prostate cancer outcomes
4 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Monash University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago