Detect Covid-19 spreading via smart phone apps

As the Covid-19 rages across the world, technologists pondered upon the building of apps, services, and systems to identify and implicate solutions. Some apps rely on fewer complications while others suck up more data on the systems. Again some of the services are government initiatives while others are global operations. Apple and Google mobilized huge teams and avalanche of services and involved to aware people through prompt action. The questions arise when these applications are doubted of their performance but none the less these apps do well out of this condition.

Here are 10 most used apps that track Covid-19.

1. Aarogya Setu

This mobile application is launched by Government of India to generate
awareness and to connect the health services to fight against Covid 19. The application provides the user status that is whether the user is safe in his environment and self assess by identifying the symptoms of the virus. This application further gives COVID 19 updates and tells the number of cases in a radius of up to 10kms. It is built on a platform of API which makes the computer programs and web services available. The application is launched in 12 languages and the size is 4.0MB. A great response was attained from
the users as it reached over 100 million installs in just 40 days

2. Corona Virus testing app developed by Drs. Arni Rao and Jose Vasquez

A corona Virus App combined with AI will provide an individual to get at-home risk assessment based on how they feel and their travel history. Generally, the application provides with local and public health officials with information about emerging demographics of those who risk for Covid and help expedite their screening to medical care. The application would get individual’s location and other demographics like gender, age, race and about recent contact with an individual known to have the symptoms or has travelled in the last 14 days. Also, the application will query about common symptoms of infection and their duration. The AI will then use an algorithm and asses the individual’s information and send them the final risk assessment report instantly.

3. Coughvid App

EFPL researchers have developed an application that detects Covid 19
through listening to cough. The cough is recorded and the results can be found immediately. The application is user friendly and reliable which is deployed for large
scale testing. The application is also anonymous and free which gives 70% accuracy rate. The use of AI to detect different types of coughs has proved the advancement of
technology through this application.

4. Datamine’s elarm

A New Zealand company has created an application to detect Covid-19 before a persons feels sick. The wearable device picks up the signs like the person’s heart beat, body temperature and breathing rate and detects the symptoms instantly. The application is made for the well being of the healthcare workers and for the betterment of the community. Besides tracking Covid symptoms, the application alerts with warnings and proffer advice for the same.

5. Nepal COVID-19 Surveillance

Nepal COVID-19 Surveillance system is a collective effort of NREN, ICT4D, PHECT-Nepal and IDS to detect community spread of the disease. The mobile app suggests an individual to self assess being self-quarantine and update one’s health status continuously for 14 days. Tye system also has a dashboard for medical doctors to monitor an individual’s health status.

6. Mobile Detect

This smart phone testing kit combines laboratory grade diagnostics with smart phone autimated technology with instant result reporting potentially. The Covid-19 detection works when an individual use swabs to sample interior of nasal cavity and apply the same into buffer solution. The sample is applied into MD-Bio cuvette which test assay samples for reaction. The heating of the reaction is done with MD-Bio Heater and later the sample is put into MD-Bio holder. Scanning is done via QR code on MD-Bio Holder and results are observed instantly via email, images or GPS information. The application is designed for general use and is available on Google Play and App store.

7. Corowarner App

This application is developed by Turkish entrepreneurs to detect
Covid 19 through contact tracing. This application alerts an individual anonymously if one is in close contact with an individual who tested positive for the virus. The app then provides with timely guidance by observing their current symptoms based on age and chronic diseases. The app has been also designed for those who don’t have smart phones. 0They could send messages through their location and get results via operator services.

8. Covid Tracing Tracker

This application keeps a record of database and captures details of every contact tracing effort around the world. A list is being compiled, the data is collected which lasts nearly about 30 days. The application identifies a person’s location and look for other devices that were active in the same location. The “proximity tracking” is done via Bluetooth. It considers better privacy than location tracking. The joint API system that is connecting Apple and Google helps in contact tracing application that is further benefitted in building in operating systems. The DP-3T technology is an open source protocol that helps in tracking the person’s contact and stored locally without being exposed. The application works on an account of data visualization service as the public version of the data is kept in spreadsheet form.

9. Corona watch

This application is for tracking of Covid Patients in India. The app
provides with the location of Covid affected patients and their travel history. This app is made to aware the general public and helpline numbers are provided to facilitate citizens to identify the nearest covid treating hospitals. The app is user friendly and is readily available on Google play.

10. My Trace

This app is developed by Government of Malaysia to trace Covid outbreaks
via Bluetooth. The application is available on play store and it adopts a community
driven approach where active devices exchange information whenever the app detects
another nearby device with My Trace installed. This enables identification of individuals
who have been close proximity to a contaminated person.