Corona status website proposal

1 Executive summary
2 Background
- 2.1 Why this tool is useful
- 2.2 Comparable projects
3 How we win
- 3.1 Vision
- 3.2 Strategies
- 3.3 Differentiation
4 How we execute
- 4.1 Execution plan
- 4.2 What we're not doing:
- 4.3 Risks and mitigations
- 4.4 Open questions and next steps
5 Appendix

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 .csv format.
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 established an online symptom reporting tool (https://minhelse.helsenorge.no/skjemautfyller?Query=Questionnaire/302) meant to track the natural evolution of symptoms. Within 24 hours of its launch in the UK, the C-19 COVID Symptom Tracker App (covid.joinzoe.com) had 650,000 downloads. The letsbeatcovid.net online survey is a collaboration between NHS doctors and Leeds University Institute of Data Analytics. Similar data collecting tools have been established in several other countries, including Netherlands, Slovakia and others.

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

Priority	Objectives	Key Metrics
1

What we're not doing:

The survey cannot diagnose coronavirus infection. The questions are intended to identify the geographic areas in which the coronavirus is spreading in Sweden. This will help locate areas with potential high numbers of infected people. All data will be used solely for helping track the spread of virus.

Risks and mitigations

Risks	Impact	Mitigation

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

Question	Next step	Owner	Date of resolution