Technology is now helpfully involving in epidemiology

1. Phathai Singkham MD MPH
Digital Technology for
Epidemiology
Division of Innovation and Research
Department of Disease Control
Thailand

3. Framework
Epidemiology is the study of the distribution and
determinants of health-related states or events
in specified populations, and the application of
this study to the control of health problems
1. Last JM, editor. Dictionary of epidemiology. 4th ed. New York: Oxford University Press; 2001. p. 61.

4. Framework
Epidemiology is the study of the distribution and determinants of health-related states
or events in specified populations, and the application of this study to the control of
health problems
1. Last JM, editor. Dictionary of epidemiology. 4th ed. New York: Oxford University Press; 2001. p. 61.
https://www.ecdc.europa.eu/en/publications-data/digital-technologies-surveillance-prevention-and-control-infectious-diseases
Screening
&
Diagnosis
Surveillance
&
Monitoring
Forecastin
g
Signal/
Outbreak
detection
&
validation
Outbreak
Response
Communication
&
Collaboration

5. The pocket lab
Pocket laboratories
https://www.nature.com/articles/545119a

6. Digital Surveillance : crowd-sourced data
Crowdsourced disease surveillance success story: The FluWatchers program
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448175/#r14
Fluwatcher
https://www.canada.ca/en/public-health/services/diseases/flu-influenza/fluwatcher.html

7. Biosensors & IoT & Cloud computing network
Internet of things (IoT) in nano-integrated wearable biosensor devices for healthcare applications

8. Biosensors & IoT & Cloud computing network
IoT-Based Environmental Monitoring: Types and Use Cases
https://www.digi.com/blog/post/iot-based-environmental-monitoring

9. Social media data
for forecasting and Signal of outbreak
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4584908/?report=reader#!po=4.54545
Foodborne Chicago finds dodgy restaurants with tweets, and R
https://columbiachronicle.com/c912768e-3b08-11e4-a411-001a4bcf6878#modal-photo

10. Social-distancing fatigue: Evidence from real-time crowd-sourced traffic data
https://www.sciencedirect.com/science/article/pii/S0048969721034070
Crowd-sourced data for outbreak response monitoring

11. Point of concerns
data
parameters
passive/active collection
storage centralized/decentralized
user perspective
Benefit & participation
data privacy
confusion/user-centered design

12. Digital tech is NOW