Good health and well-being for all is goal #3 of the Sustainable Development Goals (SDGs). Technology will continue to play a greater role in tracking, preventing and curing diseases. Understanding the correlations between environmental conditions and the effect on health can help to achieve this goal.
Cloudy with a Chance of Pain is a project sponsored by Arthritis Research UK that is collecting data to analyze correlations among weather and sources of chronic pain. Participants 17 and older living in the UK that have arthritis or other forms of chronic pain download app that tracks daily symptoms and the weather. The dataset is publicly available for research and the public is invited to submit ideas based on their data analysis.
- Medical professionals
- Scientists/Medical Researchers
- App developers
- Participants download the app and track their symptoms for 6 months
- App will capture the weather data
- Researchers and participants will have access to the data to detect patterns between symptoms and the weather
This specific app is focused on Arthritis Research in the UK but similar technology could be applied broadly to track and analyze correlations with weather/climate conditions and other health concerns, such as air quality and respiratory conditions.
View of the data – allows you to drill down into a specific symptom to look for patterns
3 thoughts on “Cloudy With a Chance of Pain”
It’ll be very interesting to see the correlations between the health and weather data. This is a great example of using two very different data sets to gain insights and inform decisions that’ll benefit people.
Thanks for sharing this technology! Applications like this seem like a great way to amass large data sets without having to recruit clinical research participants. It looks like the publicly available data set is only available in graphical format at this stage – it would be interesting if they were to make the anonymised numbers available too.
Thanks for sharing! This is quite an interesting technology that could potentially have many different applications for healthcare. The fact that it uses a mobile application to engage patients in collecting their own health data makes it very accessible and user friendly – and cross-correlating it with weather data could lead to very interesting datasets that could be used for future research.