EPITalk: Behind the Paper

This stimulating podcast series from the Annals of Epidemiology takes you behind the scenes of groundbreaking articles recently published in the journal. Join Editor-in-Chief, Patrick Sullivan, and journal authors for thought-provoking conversations on the latest findings and developments in epidemiologic and methodologic research.

EPITalk: Behind the Paper is a science podcast hosted by Annals of Epidemiology, with 24 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Annals of Epidemiology hosts EPITalk: Behind the Paper, a science show with 24 episodes published.

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  Episode #23

  Beyond Borders: AI Cough Analyses

  Jun 30, 202624 minS1

  Send us Fan Mail This episode, we are featuring Dr. Alexandra Zimmer to discuss her riveting publication "Cough acoustic analysis using artificial intelligence for COVID-19 detection: A comparative study of patient cohorts from Lima, Peru and Montreal, Canada.” We dive into questions regarding COVID-19 detection and the usage of artificial intelligence on cough acoustics in both Lima, Peru and Montreal, Canada. Dr. Zimmer’s article is published in the June 2026 Issue (Vol. 118) of Annals of Epidemiology. Read the full article here: https://www.sciencedirect.com/science/article/pii/S1047279726000748 Episode Credits: Executive Producer: Sabrina Debas (Episodes 1-18) and Sofina Tran (19-) Technical Producer: Paula Burrows Annals of Epidemiology is published by Elsevier

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  Episode #22

  Science, Interrupted - What happens after?

  May 28, 202632 minS1

  <p>Send us Fan Mail</p><p>Dr. Patrick Sullivan, Editor-in-Chief, Dr. Amy Lansky, and Dr. Lisa M. Lee, our guest editors come together and explore the Annals of Epidemiology’s special issue: ‘what happens to science that is abruptly cut short?’ This episode explores what our guest editors are looking for and their expectations when science is interrupted.<br/><br/>The Editorial: Science, Interrupted was published in the September 2025 Issue (Vol. 109) of Annals of Epidemiology, find more here: https://www.sciencedirect.com/science/article/abs/pii/S1047279725001760 <br/><br/>For instructions on how to submit to the special issue, click t...

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  Episode #21

  Friend or Foe: AI in the Realm of Epidemiology

  Apr 13, 202621 minS0

  <p>Send us Fan Mail</p><p>Emaan Rashidi, a doctoral student at Johns Hopkins Bloomberg School of Public Health, joins us on EPITalk to discuss her article review, covering AI's role in future epidemiologic research and its broader implications. “Is artificial intelligence a friend or foe to epidemiology?“ is published in the March 2026 Issue (Vol. 115) of Annals of Epidemiology. </p><p><b>Read the full article here: </b><b>https://www.sciencedirect.com/science/article/abs/pii/S1047279726000116</b></p><p><br/></p><p><b>Episode Credits:</b></p>Executive Producer: Sabrina Debas (Episodes 1-18) and Sofina Tran (19-)Techn...

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  Episode #20

  Investigating the Impact of Guaranteed Income on Mental Health and Sleep

  Mar 17, 202626 minS1

  <p>Send us Fan Mail</p><p>Dr. Stanhope, Dr. Hamilton, and Dr. Roll join EPITalk host and co-author, Dr. Patrick Sullivan, to take a deep dive into their exciting recently published study regarding how guaranteed income improves financial and mental wellbeing in a randomized trial among Black women in Georgia. “Improvements in stress and sleep following 24-months of Guaranteed Income, results from a randomized trial among Black women in Georgia“ is published in the February 2026 Issue (Vol. 114) of Annals of Epidemiology. </p><p><br/></p><p><b>Read the full article here:</b></p><p><b> </b><b>https://doi.or...

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  EPITalk: Behind the Paper

  Exploring Neural-Network Models in Pediatric Chronic Kidney Disease

  Dec 10, 202527 minS0

  <p>Send us Fan Mail</p><p>Dr. Derek Ng joins EPITalk host and co-author, Dr. Patrick Sullivan to explore whether a neural-network model utilizing two blood biomarkers can more accurately estimate kidney function in pediatric chronic kidney disease than current standard equations. “A comparison of neural networks and regression-based approaches for estimating kidney function in pediatric chronic kidney disease: Practical predictive epidemiology for clinical management of a progressive disease” is published in the May 2025 issue (Vol. 105) of Annals of Epidemiology.</p><p>Read the full article here:</p><p>https://www.sciencedirect.com/science/article/abs/pii/S1047279725000717 </p><p><br...

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