Public Health Informatics

Greetings, fellow public health informatics enthusiasts, and welcome to our frightfully fun Halloween challenge, where we'll uncover spectral health anomalies in the haunted town of Spooksville! 🧪🎃👻

Challenge Description:

Picture yourself as part of a public health team investigating eerie health occurrences in the chilling Spooksville. We've summoned a dataset filled with otherworldly data, and it's your mission to unveil the haunting secrets behind these spectral health issues.

How to Participate:

• Review the Haunting Dataset: We'll unleash a spine-tingling dataset upon you, featuring ghastly demographics, spectral medical history, and data on paranormal environmental factors.
• Unravel the Mysteries: Dive into the chilling dataset to expose spectral patterns, ghostly anomalies, and unearthly causes behind the health issues in Spooksville. Feel free to use any data analysis tools or supernatural software you prefer.
• Share Your Ghostly Findings: Keep the ghostly discussion right here on this thread! Post your eerie discoveries, spectral insights, and haunting hypotheses. Use ghostly graphs, creepy charts, or any supernatural visuals to illustrate your findings.
• Collaborate and Discuss: Engage in spirited conversations with other participants, ask ghostly questions, and share your spooky revelations. Collaboration is the key to solving these spectral mysteries!
• Spooktacular Sharing: Instead of a final submission, let's keep the discussion alive and spooky on this thread. Share your ongoing revelations, costumes, lab decoration updates, and who knows, you might uncover even more sinister secrets as we approach Halloween night! 🌕

Challenge Rules:

• Be polite and respectful to your fellow participants; we're all spirits in this haunted lab!
• Respect data privacy and spectral ethics, even in this ghostly scenario.
• Feel free to get creative with your analysis, storytelling, lab costumes, and decorations-it's Halloween, after all!

Ghastly Prizes:

While we can't offer tangible prizes, the real treat is the ghostly knowledge gained, the fun of unraveling spectral mysteries, and the chance to connect with other spirited informatics enthusiasts. Plus, bragging rights for the spookiest findings!

Important Dates:

• Challenge Hauntingly Ends on Halloween Night: October 31, 2023

Are you ready to summon your inner data detective, decipher the enigmatic health anomalies of Spooksville, and make this Halloween season a real scream? Join us in this chilling data adventure and let the data spirits guide your way! 🎃👻🔬📊

------------------------------
Sean Hannigan
Specialist, Informatics
sean.hannigan@aphl.org
240-485-2713
------------------------------

Greetings, fellow public health informatics enthusiasts, and welcome to our frightfully fun Halloween challenge, where we'll uncover spectral health anomalies in the haunted town of Spooksville! 🧪🎃👻

Challenge Description:

Picture yourself as part of a public health team investigating eerie health occurrences in the chilling Spooksville. We've summoned a dataset filled with otherworldly data, and it's your mission to unveil the haunting secrets behind these spectral health issues.

How to Participate:

• Review the Haunting Dataset: We'll unleash a spine-tingling dataset upon you, featuring ghastly demographics, spectral medical history, and data on paranormal environmental factors.
• Unravel the Mysteries: Dive into the chilling dataset to expose spectral patterns, ghostly anomalies, and unearthly causes behind the health issues in Spooksville. Feel free to use any data analysis tools or supernatural software you prefer.
• Share Your Ghostly Findings: Keep the ghostly discussion right here on this thread! Post your eerie discoveries, spectral insights, and haunting hypotheses. Use ghostly graphs, creepy charts, or any supernatural visuals to illustrate your findings.
• Collaborate and Discuss: Engage in spirited conversations with other participants, ask ghostly questions, and share your spooky revelations. Collaboration is the key to solving these spectral mysteries!
• Spooktacular Sharing: Instead of a final submission, let's keep the discussion alive and spooky on this thread. Share your ongoing revelations, costumes, lab decoration updates, and who knows, you might uncover even more sinister secrets as we approach Halloween night! 🌕

Challenge Rules:

• Be polite and respectful to your fellow participants; we're all spirits in this haunted lab!
• Respect data privacy and spectral ethics, even in this ghostly scenario.
• Feel free to get creative with your analysis, storytelling, lab costumes, and decorations-it's Halloween, after all!

Ghastly Prizes:

While we can't offer tangible prizes, the real treat is the ghostly knowledge gained, the fun of unraveling spectral mysteries, and the chance to connect with other spirited informatics enthusiasts. Plus, bragging rights for the spookiest findings!

Important Dates:

• Challenge Hauntingly Ends on Halloween Night: October 31, 2023

Are you ready to summon your inner data detective, decipher the enigmatic health anomalies of Spooksville, and make this Halloween season a real scream? Join us in this chilling data adventure and let the data spirits guide your way! 🎃👻🔬📊

------------------------------
Sean Hannigan
Specialist, Informatics
sean.hannigan@aphl.org
240-485-2713
------------------------------

Greetings!

Our surveillance efforts have revealed a Sankey Pumpkin:

I made it on https://sankeymatic.com/build/ if you are interested, I attached the code too ��

Cheers!

Matt Marshall MS, PhD

mmarshall@jmichael-consulting.com | 716-785-1046

J Michael Consulting

Bridging the Informatics Gap

www.jmichael-consulting.com 

 

Original Message:
Sent: 10/13/2023 4:29:00 PM
From: Sean Hannigan
Subject: Public Health Halloween Challenge: Spooky Data Mysteries🎃👻🔬

Greetings, fellow public health informatics enthusiasts, and welcome to our frightfully fun Halloween challenge, where we'll uncover spectral health anomalies in the haunted town of Spooksville! 🧪🎃👻

Challenge Description:

Picture yourself as part of a public health team investigating eerie health occurrences in the chilling Spooksville. We've summoned a dataset filled with otherworldly data, and it's your mission to unveil the haunting secrets behind these spectral health issues.

How to Participate:

• Review the Haunting Dataset: We'll unleash a spine-tingling dataset upon you, featuring ghastly demographics, spectral medical history, and data on paranormal environmental factors.
• Unravel the Mysteries: Dive into the chilling dataset to expose spectral patterns, ghostly anomalies, and unearthly causes behind the health issues in Spooksville. Feel free to use any data analysis tools or supernatural software you prefer.
• Share Your Ghostly Findings: Keep the ghostly discussion right here on this thread! Post your eerie discoveries, spectral insights, and haunting hypotheses. Use ghostly graphs, creepy charts, or any supernatural visuals to illustrate your findings.
• Collaborate and Discuss: Engage in spirited conversations with other participants, ask ghostly questions, and share your spooky revelations. Collaboration is the key to solving these spectral mysteries!
• Spooktacular Sharing: Instead of a final submission, let's keep the discussion alive and spooky on this thread. Share your ongoing revelations, costumes, lab decoration updates, and who knows, you might uncover even more sinister secrets as we approach Halloween night! 🌕

Challenge Rules:

• Be polite and respectful to your fellow participants; we're all spirits in this haunted lab!
• Respect data privacy and spectral ethics, even in this ghostly scenario.
• Feel free to get creative with your analysis, storytelling, lab costumes, and decorations-it's Halloween, after all!

Ghastly Prizes:

While we can't offer tangible prizes, the real treat is the ghostly knowledge gained, the fun of unraveling spectral mysteries, and the chance to connect with other spirited informatics enthusiasts. Plus, bragging rights for the spookiest findings!

Important Dates:

• Challenge Hauntingly Ends on Halloween Night: October 31, 2023

Are you ready to summon your inner data detective, decipher the enigmatic health anomalies of Spooksville, and make this Halloween season a real scream? Join us in this chilling data adventure and let the data spirits guide your way! 🎃👻🔬📊

------------------------------
Sean Hannigan
Specialist, Informatics
sean.hannigan@aphl.org
240-485-2713
------------------------------

Greetings!

Our surveillance efforts have revealed a Sankey Pumpkin:

I made it on https://sankeymatic.com/build/ if you are interested, I attached the code too ��

Cheers!

Matt Marshall MS, PhD

mmarshall@jmichael-consulting.com | 716-785-1046

J Michael Consulting

Bridging the Informatics Gap

www.jmichael-consulting.com 

 

Greetings, fellow public health informatics enthusiasts, and welcome to our frightfully fun Halloween challenge, where we'll uncover spectral health anomalies in the haunted town of Spooksville! 🧪🎃👻

Challenge Description:

Picture yourself as part of a public health team investigating eerie health occurrences in the chilling Spooksville. We've summoned a dataset filled with otherworldly data, and it's your mission to unveil the haunting secrets behind these spectral health issues.

How to Participate:

• Review the Haunting Dataset: We'll unleash a spine-tingling dataset upon you, featuring ghastly demographics, spectral medical history, and data on paranormal environmental factors.
• Unravel the Mysteries: Dive into the chilling dataset to expose spectral patterns, ghostly anomalies, and unearthly causes behind the health issues in Spooksville. Feel free to use any data analysis tools or supernatural software you prefer.
• Share Your Ghostly Findings: Keep the ghostly discussion right here on this thread! Post your eerie discoveries, spectral insights, and haunting hypotheses. Use ghostly graphs, creepy charts, or any supernatural visuals to illustrate your findings.
• Collaborate and Discuss: Engage in spirited conversations with other participants, ask ghostly questions, and share your spooky revelations. Collaboration is the key to solving these spectral mysteries!
• Spooktacular Sharing: Instead of a final submission, let's keep the discussion alive and spooky on this thread. Share your ongoing revelations, costumes, lab decoration updates, and who knows, you might uncover even more sinister secrets as we approach Halloween night! 🌕

Challenge Rules:

• Be polite and respectful to your fellow participants; we're all spirits in this haunted lab!
• Respect data privacy and spectral ethics, even in this ghostly scenario.
• Feel free to get creative with your analysis, storytelling, lab costumes, and decorations-it's Halloween, after all!

Ghastly Prizes:

While we can't offer tangible prizes, the real treat is the ghostly knowledge gained, the fun of unraveling spectral mysteries, and the chance to connect with other spirited informatics enthusiasts. Plus, bragging rights for the spookiest findings!

Important Dates:

• Challenge Hauntingly Ends on Halloween Night: October 31, 2023

Are you ready to summon your inner data detective, decipher the enigmatic health anomalies of Spooksville, and make this Halloween season a real scream? Join us in this chilling data adventure and let the data spirits guide your way! 🎃👻🔬📊

------------------------------
Sean Hannigan
Specialist, Informatics
sean.hannigan@aphl.org
240-485-2713
------------------------------