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For our doctors. For our researchers. For our people. An app to help you help others

What it does

The CovID (Covid Information Diary) is a platform to help research institutions, organisations and governments to collect crucial epidemiological and policy-relevant data in a rapid, seamless way - whilst at the same time keeping users involved and informed.

It's a diary tracker of health status and mobility patterns of the general population or target cohort. By jointly tracking these aspects, we can dramatically improve the information set relied upon by epidemiologists and policy makers.

Furthermore, the app informs users of local hotspots which they can avoid to minimise risky behaviour - and the symptoms diary provides a reliable and private record which users can share with their doctors if they wish.

We are already working with the Cambridge Clinical Trials Unit, and are looking to expand across the globe.

The Problem

A key problem faced by public authorities is to understand exactly how the COVID-19 virus is affecting different segments of the population & how their daily mobility patterns have been differentially disrupted. The social contact network over which the virus spreads been drastically modified - but nobody knows exactly how. This affects the disease spread dynamics, and details are crucial because different segments of the population are indirectly put at risk by different policies to a different degree.

Currently there is a lack of up-to-date mobility data: any survey data from the past is outdated. Efforts so far have been concentrated on “putting out the fire" with no time to collect data on both mobility and health which will be crucial to inform policy over the next months and years – and will thus affect thousands, millions of lives.

Our Solution

(a) For public authorities and scientists/researchers: The App will allow authorities/researchers to collect data at individual and household level to help parameterize simulations of epidemic spread across the population (virus transmission patterns) and inform policy decisions on relaxation of restrictions (scenario analysis). In the short term, it can also help prioritise the deployment of healthcare staff, protective equipment, test kits, etc,.in a dynamic way, as a function of the evolving landscape.

(b) For App users: The data is collected in a fun, interactive “diary” format; users can track their symptom progression and mobility changes, and visualise it in a weekly/calendar format. They can transfer their personal symptoms history to healthcare professionals if they wish. This increases accuracy, minimising the effect of recall bias.

Unlike other data collection apps, we give users access to their own previously inputted data. Users can choose which data they wish to share with researchers and access real-time updates of how their data is benefiting the country and saving lives.

Finally, the hotspots/map functionality protects users by showing if their local areas are busy (and hence risky) on a map. The App is thus a risk mitigation tool - a means of staying safe and protecting others. This could in a second step be easily extended into an interactive version, where users contribute even more tangibly - by tagging locations with time-stamped comments.

So what do we plan to do?

Mobility tracking, Health tracking, displaying data and extra information to users, and showing them how their data is helping researchers gain new insights to ultimately save lives.

Thanks to our streamlined, central platform, our app provides a single access point for users to access a range of services, to save them the effort of navigating and switching amongst the many existing covid-related apps.

The areas we are covering

(1) Mobility data

  • Initial questionnaire about user's mobility (commute, etc) before covid restrictions and during covid times (now).
  • A daily/weekly input of the users mobility (not location tracking, but frequency of travel, self-isolating or not, etc.)
  • Providing constant and necessary mobility data to the users.
  • Providing up-to-date (much-needed) mobility data to organisations, scientists and government of the user (with user's consent).

(2) Health data (Symptoms and wellbeing)

  • Initial input of user's health background / preconditions.
  • A daily/weekly input of the user's health symptoms (avoiding too frequent prompts if they are healthy).
  • Providing constant and necessary health data to the users.
  • Providing up-to-date and consistent health data to organisations, scientists and government of the user (only with user's consent)

(3) Map of risk hotspots (& geolocation input only from users who wish to contribute such data securely)

  • Providing users with a much-needed understanding of where is safe to travel to ahead of time, and when is the best moment to do so.
  • Info on 'peak' places, and the corresponding peak times - and, conversely, on safer places in the user's vicinity.
  • Ability to gauge how often they should be traveling, and being informed of when would be safest to do so.
  • Offer user access to information - their own, in their areas (not of individuals), allow them to learn what (right & wrong) actions others are taking. Most effective behaviours for preserving both physical and mental health.

(4) Information, research and updates.

  • Users can optionally share their data with researchers, thus informing global decision making.
  • This way the benefit is twofold. Users can see how they are helping, and also how the people can benefit from their input. This is is key to accelerating the large impact needed.
  • From the very start, users will understand EXACTLY what is needed, and how they can help.

The CovID information diary can be part of the solution our world needs, and with the right support, we can help reduce the damage COVID has done, and will do, to our species.

A multi-faceted, challenging endeavour - collecting crucial data to keep people safe and help inform decisions by governments and organisations across the world.

How we built it

  • Adobe XD
  • React Native
  • Azure

Challenges we ran into

Are we doing too much? We discussed how to scale down what we are trying to achieve, and there were many paths that we chose not to take. We also encountered some dead-ends and failures, but managed to keep our up our energy and pursue that which is meaningful!

Accomplishments that we're proud of

  • Having our solution programmed, ready to be deployed!
  • Having a diverse team with a broad skillset and no shortage of imagination to develop creative ideas.

What we learned

  • The COVID-19 problem the world is currently facing is big, very big - bigger than anything that we have ever faced in our lives, and hopefully will ever face.
  • This extraordinary situation requires a joint effort, the very best part of each and every one of us, to be able to come out on top of this. Cooperation at all levels and across all geographies is the only way forward.

What's next for CovID

  • Working with research institutions, hospitals, governments, WHO, NGOs, and many bright minds.
  • Bringing our tool to the people who need it most.
  • We are looking for team members with the following skills: (a) talented React Native programmers, (b) back-end Azure specialists, (c) statisticians/sociologists with expertise in household/census surveys.

If you feel like you want to be a part of our team and help bring our tool to the world - just get in touch!

Email us here

The team

With a diverse and skilled team of 35+ years of combined experience in data analysis, clinical studies, healthcare regulation, and app design, we not only present a credible operation, but our proven ability to design and deliver a fully working prototype under immense time constraints, testifies to our capability and ability to work remotely under Covid-19 working restrictions.

Keywords

Mobility, symptoms, habits, timeline, tracker, essential workers, healthcare workers, contact rates, hotspots, real-time, mental health, policy, research, lockdown. AIM: to collect a survey/diary of (at the same time) health status/riskiness and mobility patterns/habits, to inform research and policy measures.

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Updates

posted an update

Since yesterday we have made great progress. We have gathered user feedback and implemented it, steering forward the project in the best direction.

This has been instrumental in our decision-making process, we have implemented the ability for users to actively see their mobility and health data. We incorporated a key graphical interface for this. We wanted to show full transparency and allow uses the freedom and control over their information, ultimately gaining the trust of the users.

We have included an area where users can manually opt in to give their data to researchers and organisations.

There is much more to do, but in this final stretch will do the best we can.

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