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Googling the Flu: How Your Search History Became a Public Health Tool

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Manage episode 475179799 series 3395831
Content provided by Galveston National Laboratory. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Galveston National Laboratory or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

What if your Google searches could predict disease outbreaks before traditional surveillance methods? That's exactly what happened during the 2009 H1N1 pandemic when researchers discovered online search patterns matched CDC data – but delivered results much faster.
Welcome to the fascinating world of infodemiology, where digital footprints become powerful tools for public health. In this eye-opening conversation with experts Dr. Heather Duncan and Dr. Patrick Murphy, we explore how researchers analyze everything from tweets to search queries to understand health trends, track disease spread, and even identify mental health risks.
The implications are both promising and concerning. While infodemiology offers unprecedented speed and insights for public health response, it raises critical questions about privacy, ethics, and the responsibility that comes with identifying health risks online. If AI flags someone as potentially suicidal based on their social media activity, what obligations exist to connect them with resources?
Perhaps most shocking is the revelation that just 12 individuals were responsible for 60% of the anti-vaccine content circulating on certain platforms. This precision mapping of information flow demonstrates infodemiology's potential to target interventions effectively.
As social media increasingly becomes Americans' primary source of health information, understanding these digital dynamics becomes crucial for public health. Dr. Duncan shares her vision of creating accessible, automated tools that would allow even small health departments to harness these powerful insights without extensive resources.
Subscribe to Infectious Science for more fascinating conversations at the intersection of technology and public health, and share your thoughts on how digital surveillance might shape the future of healthcare.

Thanks for listening to the Infectious Science Podcast. Be sure to visit infectiousscience.org to join the conversation, access the show notes, and don’t forget to sign up for our newsletter to receive our free materials.

We hope you enjoyed this new episode of Infectious Science, and if you did, please leave us a review on Apple Podcasts and Spotify. Please share this episode with others who may be interested in this topic!

Also, please don’t hesitate to ask questions or tell us which topics you want us to cover in future episodes. To get in touch, drop us a line in the comment section or send us a message on social media.
Instagram @Infectscipod
Facebook Infectious Science Podcast
See you next time for a new episode!

  continue reading

Chapters

1. Introduction to Infodemiology (00:00:00)

2. Origins of Infodemiology and Google Flu Trends (00:03:14)

3. Privacy Concerns and Data Collection Methods (00:10:16)

4. Mental Health Monitoring and Ethical Challenges (00:16:36)

5. Cultural Relevance and Sample Representation (00:23:20)

6. Tracking Misinformation and Future Solutions (00:26:56)

7. Future Tools for Health Departments (00:34:42)

23 episodes

Artwork
iconShare
 
Manage episode 475179799 series 3395831
Content provided by Galveston National Laboratory. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Galveston National Laboratory or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

What if your Google searches could predict disease outbreaks before traditional surveillance methods? That's exactly what happened during the 2009 H1N1 pandemic when researchers discovered online search patterns matched CDC data – but delivered results much faster.
Welcome to the fascinating world of infodemiology, where digital footprints become powerful tools for public health. In this eye-opening conversation with experts Dr. Heather Duncan and Dr. Patrick Murphy, we explore how researchers analyze everything from tweets to search queries to understand health trends, track disease spread, and even identify mental health risks.
The implications are both promising and concerning. While infodemiology offers unprecedented speed and insights for public health response, it raises critical questions about privacy, ethics, and the responsibility that comes with identifying health risks online. If AI flags someone as potentially suicidal based on their social media activity, what obligations exist to connect them with resources?
Perhaps most shocking is the revelation that just 12 individuals were responsible for 60% of the anti-vaccine content circulating on certain platforms. This precision mapping of information flow demonstrates infodemiology's potential to target interventions effectively.
As social media increasingly becomes Americans' primary source of health information, understanding these digital dynamics becomes crucial for public health. Dr. Duncan shares her vision of creating accessible, automated tools that would allow even small health departments to harness these powerful insights without extensive resources.
Subscribe to Infectious Science for more fascinating conversations at the intersection of technology and public health, and share your thoughts on how digital surveillance might shape the future of healthcare.

Thanks for listening to the Infectious Science Podcast. Be sure to visit infectiousscience.org to join the conversation, access the show notes, and don’t forget to sign up for our newsletter to receive our free materials.

We hope you enjoyed this new episode of Infectious Science, and if you did, please leave us a review on Apple Podcasts and Spotify. Please share this episode with others who may be interested in this topic!

Also, please don’t hesitate to ask questions or tell us which topics you want us to cover in future episodes. To get in touch, drop us a line in the comment section or send us a message on social media.
Instagram @Infectscipod
Facebook Infectious Science Podcast
See you next time for a new episode!

  continue reading

Chapters

1. Introduction to Infodemiology (00:00:00)

2. Origins of Infodemiology and Google Flu Trends (00:03:14)

3. Privacy Concerns and Data Collection Methods (00:10:16)

4. Mental Health Monitoring and Ethical Challenges (00:16:36)

5. Cultural Relevance and Sample Representation (00:23:20)

6. Tracking Misinformation and Future Solutions (00:26:56)

7. Future Tools for Health Departments (00:34:42)

23 episodes

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