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Prevalence is one of the most commonly used measures in epidemiology. It is often treated as a direct indicator of disease risk, spread, or public health urgency. But what if prevalence is telling a very different story than most people think?
In this episode, we break down what prevalence actually measures, why it is often confused with incidence and risk, and how that misunderstanding can distort public health interpretation and policy decisions.
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If you found the content helpful, consider leaving a rating or review—it helps support the podcast.
For business and sponsorship inquiries, email us at:
📧 [email protected]
Youtube: https://www.youtube.com/@BJANALYTICS
Instagram: https://www.instagram.com/bjanalyticsconsulting/
Twitter/X: https://x.com/BJANALYTICS
Threads: https://www.threads.com/@bjanalyticsconsulting
By BJANALYTICSPrevalence is one of the most commonly used measures in epidemiology. It is often treated as a direct indicator of disease risk, spread, or public health urgency. But what if prevalence is telling a very different story than most people think?
In this episode, we break down what prevalence actually measures, why it is often confused with incidence and risk, and how that misunderstanding can distort public health interpretation and policy decisions.
👉 Enjoyed the episode? Follow the show to get new episodes automatically.
If you found the content helpful, consider leaving a rating or review—it helps support the podcast.
For business and sponsorship inquiries, email us at:
📧 [email protected]
Youtube: https://www.youtube.com/@BJANALYTICS
Instagram: https://www.instagram.com/bjanalyticsconsulting/
Twitter/X: https://x.com/BJANALYTICS
Threads: https://www.threads.com/@bjanalyticsconsulting