High-Level Project Summary
We developed an application that allows the users to know the contagion probability at any place within the United States nation, based on the number of people with an infection index that are in the area or went to the area. By making the citizens aware of the risks of infection to the places they visit. This will allow the users to make the decision of which places they visit based on the contagion probability that the application registers (date & time). Since we as citizens don't count on a tool that provides us with how vulnerable we are against the COVID-19 Virus in real time, we are prone to place ourselves in high danger unaware of how the virus surrounds us.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
Objective.
Deliver information to the users about the risk of contagion and the danger that his life presents in the face of COVID-19 being in the United States. At the same time, present the situation in the city in which the user in located against COVID-19 (number of vaccinated, number of contagion, available beds and deaths) in order to make users aware of making decisions that promote health caring.
How to calculate the Risk of contagion.
By using the application COVID-19 RISK TRACKER we are capable to determine the contagion risk level of the users, depending on how many users are near to the current user location (Less than 10 meters range) and how many of them are vaccinated.
This can be calculated by knowing the percentage of incidence per person in the region {(Incidence Rate / 1000)x(Users in the area)}.
Used tool.
- JHU COVID-19 Dashboard—Center for systems science and engineering at JHU
- NASA-SEDAC—Current COVID-19 data
- javascript
- bootstrap
- css
- apache cordova
- mongodb
- nodejs
- html
- postman
- jquery
Space Agency Data
Thanks to the tool JHU COVID-19 Dashboard and SEDAC we can determine the degree of danger in which the user is found by determining the following:
1. Determine the potential for contagion by knowing the incidence percentage per 100,000 citizens per state and by knowing how many people are in that place (Convenience store, building, recreational areas).
2. Quantify the risk of infection and not having the adequate medical support due to a high percentage of fatal cases in the state (the higher the number of fatal cases, the greater the saturation of patients due to covid there will be in hospitals).
3. Determine the most vulnerable states to show fatal cases due to infection of the elderly citizens.
4. We can approximately calculate the amount of people that live in a specific area.
Hackathon Journey
- How would you describe your Space Apps experience?
It was a very fun and interesting experience, being that we were able to manage very important and unique information to solve a real life problem.
- What did you learn?
We learn how to use the probability and the handling of statistical data to be able to predict a certain consequence. Finally, we learned to use and program Covid Act Now API
- What inspired your team to choose this challenge?
The enormous problem is that we live in Mexico, where there is no easy access to obtain the pandemic status and where there is a lack of awareness on the citizens' part, not really knowing the danger that they run when going out.
- What was your approach to developing this project?
Make citizens aware of the danger of infection that they run in real time by providing them with data on how likely it is that they will be infected and thereby getting them to think about whether it is a good idea or to expose themselves
- How did your team resolve setbacks and challenges?
We studied different programming tutorials to achieve the resolution of the issues that we faced with the application and when we required a creative idea we’d do brainstorming and submit to voting between the options we came up with.
References
References*
- Zlojutro, A., Rey, D., & Gardner, L. (s. f.). JHU COVID-19 Dashboard—Center for systems science and engineering at JHU. JHU COVID-19 Dashboard—Center for systems science and engineering at JHU. Recuperado 4 de octubre de 2021, de https://gisanddata.maps.arcgis.com/apps/dashboards/bda7594740fd40299423467b48e9ecf6
- Blumenfeld, J. (2020, 23 abril). NASA SEDAC Application Puts Current Global COVID-19 Data at your Fingertips | Earthdata. NASA SEDAC Application Puts Current Global COVID-19 Data at Your Fingertips | Earthdata. https://earthdata.nasa.gov/learn/articles/sedac-covid-19-viewer
Tags
#android, #RISKTRACKER, #Health, #covid-19, #IOS, #software
Global Judging
This project has been submitted for consideration during the Judging process.