UTrack

https://youtu.be/ym29xCqSsUQ

https://github.com/nayeem-17/utrack

Covid -19, the infectious nightmare that has taken away 4500000 people in the last one and half a year only. This drastically changes human life to the world’s economic status, according to the UN this loss may cost up to 45000000000(4.5T). WHO is providing vaccines prioritizing the age and other socio-political standards. Even in the world's most advanced country USA, currently 148200000 people are out of vaccination coverage. Moreover, This pandemic causes the world longest time off for all academic activities, in hours it is nearly about 1824700000000.After all these steps, still, every week almost 30 lakhs new cases are added to the list. So, taking the necessary steps to prevent the unwanted exposure and make sure to spread awareness at this moment is the top priority. This makes our project the most valuable, which not only shows the covid risk but also acts as the user's personal guide

Our project “ Utrack” is a simple mobile application and a complete information platform. That will work as a massive covid risk calculator using a specific place’s population density, Mobility data, Covid Vaccination ratio, environment temperature & relative humidity and user’s medical history. It will allow users to measure the invisible factors that control the chances of being affected. The app collects Environment data of a specific area, mobility data from Google's personalized mobility info desk, vaccination data from the john Hopkins covid tracker module, and the relative humidity data from the global weather.com database. 

We developed a personalized risk Calculating Equation with the modification from the JHU Covid -19 Dashboard that integrates all the factors that work directly and indirectly in making a person's chances of being affected. THis equation is the baseline that brings all the discriptic information in a computionalize common platform and provides a user friendly interface, So that users can easily find awareness notifications about his intended place of visit. 

Our app divides all the risks in 4 categories such as : SAFE, LOWER POSSIBILITY, MID POSSIBILITY, HIGH RISK. These 4 categories are fully based on all the variable parameters and the equation. When this equation value ranges 0-25 percentile the app will show SAFE notification. This will show sequentially LOWER POSSIBILITY, MID POSSIBILITY, HIGH RISK for the consecutive 25% to 50%, 50% to 75%, 75% to 100%. Along with this risk information this app will provide personalized mask solutions on what types of mask you should use in a specific place based on the vaccinated ratio, and the population density. This risk factor can change a little based on what certain period of time you are passing inside the room/grocery shop/ meeting. 

If the risk is somewhere between 25% you should use a Disposable 3-Ply Face Masks/ Armbrust Surgical Masks/ Kitsbow Wake Protech Reusable double Face Mask.But if this happened somewhere between 50%-75% and you would spend a long period engaging with the a mid or higher population density area, this app will suggest you to use Lululemon Double Strap Mask/Nike Venturer Performance Face Mask/KN-95 MAsks etc. This app will also give you instructions on how to wear different types of masks for their best functionality.

This app is also integrated with economic data and SocioEconomic behavioural trends. For a specific area we are also calculating economic growth using the Night Light Data,SPM & RPM ratio to detect the changes between economic trends of Pre Covid & Post Covid time. This specific facility gives an upper hand for the policymakers, small businessmen, Industrialists, Entrepreneurs to set up their business by understanding the risk factor for the specific region.

Also, it indicates and visualizes future economic trends and societal change during Covid 19 pandemic for specific regions. Global entrepreneurs, policymakers are challenged to make pragmatic changes in our economy amid this pandemic. We analyze the datasets, RPM AND SPM, CSV graphs, and histograms to indicate the changes. Users' preferred city's dataset will give them the overall approach in 9 different comprehensive routes. Our solution can provide a holistic assessment of post and current COVID-19 impacts, mobility data, human activities, which envisions what the economic trends portend and predicts the feasibility of whether to invest in an offline or online startup.

At the very last, we will attach a share option where users will upload their success history on social media, what types of help they got from our apps etc. Everyday we will share our best user experience in the “USER WORLD” window. This will help us to spread awareness, and make sure that people are maintaining their exposure through our app. 

Here is the full details of space agency Information that we used:

1. Population Density data ( we used this data to measure the current number of people in a specific area) https://sedac.ciesin.columbia.edu/data/set/gpw-v4-population-density-rev11

2.Night Light Map (In navigating the human activity, vehicles movemnets. We used this Pre covid time area image and post covid time area image from the Eo dashboard ) https://eodashboard.org/

3.Slow down Proxy and Recover Proxy Data (link:https://eodashboard.org/)

Literature Data:

4Covid 19 Business statistics: https://www.weforum.org/agenda/2020/06/how-covid-19-will-change-entrepreneurial-business/ 

 Data Sources

5.Urban Societal Behavior change datasets: https://www.eodashboardhackathon.org/challenges/economic-impact/urban-societal-behavior-patterns-during-covid-19/details 

6.Google mobility data on recreation, groceries, workouts, groceries and pharmacy, transition stations: https://www.google.com/covid19/mobility/

7.Recovery Proxy map: https://earthdata.nasa.gov/covid19/explore/be?map=116.7214%2C40.1631%2C12.2&layers=recovery&date=2021-03-01 

8.slowdown Proxy map:https://earthdata.nasa.gov/covid19/explore/be?map=116.5077%2C40.0579%2C12.13&layers=slowdown&date=2021-03-01

The Nasa Space Apps Challenge allows participants to consider and solve real-world issues, which can be beneficial. We can learn and explore a lot by tackling real-world challenges and thinking about the big picture idea, going outside the box and think about applying a usual math formula in a real world problem is a great chance to give us the taste of "real Science". We learned about datasets, open source information, how to use the available resources, and how apps work in the process of fixing the problem. Covid- 19 is making things difficult, because we humans can't sit in a closed environment for long periods of time. We must go out to work in order to meet our basic needs. As a result, we must tackle the infection with caution. The proportion of people infected with this virus in a given location fluctuates, sometimes increasing and sometimes decreasing. Using the information and data we determine the probability of being affected by the Covid-19 and show the user a calculated risk percentage. We had some challenges like -how to combine all the data, and how to build up an equation that gives the most accurate output. We used our prior knowledge in science and problem solving to tackle the setbacks.

We learned patience, collaboration and love. Thank You Nasa Space Apps Challenge.

1.Covid Vaccination Rate (link: https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 )

2.Population Density data ( we used this data to measure the current number of people in a specific area) https://sedac.ciesin.columbia.edu/data/set/gpw-v4-population-density-rev11

3.Night Light Map (In navigating the human activity, vehicles movemnets. We used this Pre covid time area image and post covid time area image from the Eo dashboard ) https://eodashboard.org/

4.Slow down Proxy and Recover Proxy Data (link:https://eodashboard.org/)

5..Survey questions, added in the personal medical History segment Questions(link:https://publichealth.jhu.edu/2020/new-online-covid-19-mortality-risk-calculator-could-help-determine-who-should-get-vaccines-first)

6..Weekly adding new Cases (link: https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6)

7.Economic Loss (link:https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/)

8.Academic Loss (link:https://www.unicef.org/coronavirus/covid-19?gclid=CjwKCAjw49qKBhAoEiwAHQVTo1TwHAxXyzwORYjLngPz7UMlKrbveq4xmX5x0CE0P1tD8N9f7KBbKBoCHo4QAvD_BwE)

9.Human Mobility data (link:https://www.google.com/covid19/mobility/)

10.Area Specific Temperature and Relative Humidity Data (link:https://weather.com/weather/today)

#Apps #Covid_risk_Calculator#Utrack#Bangladesh_Mymensingh #RISK #PRECAUTIONS

This project has been submitted for consideration during the Judging process.