What I have lived has made me a big believer in the power of data in epidemics. I have participated in projects related to epidemiology and data in the past and I have started projects like bots4health to facilitate the use of data in healthcare and public health. Through these experiences it has always been surprising for me to see that a lot of other very talented and selfless people contribute with open datasets, maps, dashboards and apps (and now chatbots, too), adding their own grain of sand to the pile that’s needed to really tackle a disease when it becomes a global scale threat like the one we are facing today.
I bring you a collection of resources you can use as you create your own solutions. If you want to add any other projects, including your own I am more than happy to help put the word out about it – feel free to reach out using the form below.
Dashboards & Maps
While dashboards have their disadvantages (my ex-colleague Lucy can convince you, this is her blog post) they are very appreciated by a lot of people and particularly people in public health. The use of maps goes back to John Snow’s (the other John Snow) mapping of cholera in London, and is frequent, as you can see from the images of the projects below.
The World Health Organization (WHO) has released a dashboard to follow the progress of COVID19 infections.
The John Hopkins University (JHU) has also released a similar tool. You can access it in this link. It looks like data is updated more frequently than in the WHO dashboard.
The Washington Post published an article about self-isolation that has inspired this great open-sourced COVID spread simulation.
Harvard has created a very interesting interactive dashboard where you can see an animation of the spread of the disease.
If you too want to start your own project, these are some dashboards and data sources about coronavirus that can help you in your task:
- Global Health Observatory OData API by WHO, limited access.
- GitHub Repository by JHU, open data for research and academics.