Executive summary
A website where people can self-report symptoms.
Submissions can be viewed on a map.
A statistics page shows graphs with trends.
Data can be accessed through an API and downloaded in
.csvformat.
Built using a community-based open-source tool: https://github.com/BustByte/coronastatus
Sites are up and running in a number of other countries. Norway, Netherlands and Slovakia are launched, people are working on versions for Mexico, Italy, India, Philippines and Denmark
🌏 Background
Why this tool is useful
As the number of hospitalized Covid-19 cases continue to rise in Sweden, vital health system resources will soon be strained needing informed decisions on how to best allocate them. In the absence of a robust SARS-CoV-2 testing strategy, combined with a lack of government-led measures to curb the spread of infection, there is no reliable way to estimate the scale or impact of the disease in Sweden.
Comparable projects
In Europe, the Norwegian Institute of Public Health has established an online symptom reporting tool (https://minhelse.helsenorge.no/skjemautfyller?Query=Questionnaire/ 302) meant to supplement the electronic health record and track the natural evolution of symptoms. Within 24 hours of being launched in the UK, the C-19 COVID Symptom Tracker App (covid.joinzoe.com) had 650,000 downloads. Similar data collecting tools have been established in the UK and several other countries, including the letsbeatcovid.net, a collaboration between NHS doctors and Leeds University Institute of Data Analytics.
🏆 How we win
Vision
Here, we propose to create a similar online symptom-reporting tool. This will allow to collect anonymous information such as: location, major and minor symptoms of Covid-19 infection, presence of co-morbidies, and risk-factors associated with Covid-19 exposure. We expect less than 2-5% of surveys submitted to actually have the disease. Nevertheless, collecting large amounts of data will allow for downstream analysis, predictive modeling and generate data-driven insights for decision-makers.
Strategies
Based on this form, we will be able to identify the geographic location of people experiencing major or minor symptoms, that also have co-morbidities and are at high- risk of developing the disease.
Differentiation
🚀 How we execute
Execution plan
Priority | Objectives | Key Metrics |
|---|---|---|
1 | ||
What we're not doing
Risks and mitigations
Risks | Impact | Mitigation |
|---|---|---|
survey content | HIGH / MEDIUM / LOW | questions must be targeted in order to provide useful information |
large dataset | ||
analysis | longitudinal analyses will imply visitors re-submit |
Open questions and next steps
Question | Next step | Owner | Date of resolution |
|---|---|---|---|