Understanding public health data is crucial for decision-making, policy development, and identifying disease trends.
In this video, we break down how to interpret data analysis in public health, including:
🔹 Types of public health data
🔹 Statistical interpretation (mean, median, trends, significance)
🔹 Epidemiological indicators (Incidence, Prevalence, RR, OR)
🔹 Data visualization: charts, graphs, heatmaps
🔹 How to identify anomalies and patterns
🔹 Real-world examples from infectious disease, nutrition, and community health
🔹 Common mistakes in data interpretation
🔹 Best practices for reporting public health findings
This video is perfect for:
📌 Students of Public Health
📌 Epidemiology & Biostatistics learners
📌 Data analysts & researchers
📌 Healthcare professionals
📌 Anyone working with health data
Watch till the end for expert tips on presenting and interpreting your results like a pro!
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