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Category: PhD in Public Health

evidence based practice in medicine

What Is Evidence-Based Medicine and How It’s Changing Healthcare 

Understanding Evidence Based Medicine (EBM)  EBM is a structured, scientific approach to medical practice that aims to make healthcare decisions more effective, efficient, and tailored to individual patients. Unlike traditional approaches that often rely heavily on anecdotal experience or untested theories, EBM focuses on proven methods backed by rigorous research.  For example, students pursuing a …

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Global Disease Prevention Strategies

Global Disease Prevention Strategies: The Science Behind Effective Healthcare Policies

Understanding Global Disease Prevention Strategies Global Disease Prevention Strategies encompass measures designed to reduce the spread and impact of diseases across borders. These strategies rely on scientific research, data-driven approaches, and collaborative international efforts. Whether it’s eradicating malaria or managing pandemics, prevention begins with understanding the root causes, modes of transmission, and potential interventions. The …

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Climate change and public health education

How Climate Change Is Poised to Transform Public Health Education by 2025 

The Strengthening Relationship Between Climate Change and Public Health  The connection between climate change and public health is undeniable. Severe weather events, including floods and droughts, disrupt healthcare infrastructure and worsen chronic conditions. Rising temperatures have expanded the habitats of disease-carrying Arthropods like mosquitoes, increasing the risk of diseases like malaria and dengue fever.  Public …

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Epidemiology research trends

Top 5 Public Health Epidemiology Trends: Insights from Researchers in 2024

1. Increased Integration of Artificial Intelligence (AI) in Public Health Artificial Intelligence (AI) is transforming public health by enabling researchers to analyze large datasets, predict disease outbreaks, and personalize health interventions. In 2024, AI tools are increasingly used in epidemiology research to improve disease modeling and surveillance. AI has already played a pivotal role in …

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