High-Level Project Summary
The efforts to mitigate the risks and casualties resulting from the rapid propagation of COVID-19 since its emergence are on the rise. However, the enforced policies, travel restrictions, and vaccinations are yet to eliminate the risks. To increase people's safety, we present a geographically-guided and personalized COVID-19 monitoring for individuals. The application integrates the various COVID-related information on different sources in a single framework that provides quantified data along with risk warnings tailored for the user. It uses epidemiological, social, and policy data to provide personalized COVID-19 risk warnings in order to increase social awareness and health security.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
The application uses the available open-source data on COVID-19 and presents it in a way that is simple and personalized for the user in order to increase their health security.
The application consists of three pages. The home page displays the user's PCR test status and the number of days left until expiry, along with vaccination information; the date of the first dose and that of the second dose. The second page includes a map that outlines the user's location, along with information on the COVID-19 cases and vaccinations administered in each location on the map. It also includes the weather conditions such as temperature, wind speed, and humidity. The last page displays personalized instructions for the user, such as whether or not wearing a face mask is required, if getting a booster dose is mandatory, whether social distancing is advised, and information of places or activities to avoid due to lack of sterilization or increased population density.
This application is very beneficial and crucial because it provides the necessary information and recommendations for the user in a clear and simple manner without the user having to search the resources on the current COVID-19 cases, safety measures, vaccination rules etc. This application is meant to increase the public's safety through a user-friendly, simple solution.
We hope that such an application encourages users to take advantage of the abundantly available open-source data related to COVID-19 that is translated into simple instructions and recommendations based on the user's location and condition. The personalized instructions provided in this application can decrease the mortality rate and help reduce COVID-19 cases significantly.
To develop this project, we used Ionic framework and a simple video editing tool (proto.io) to present the application. These simple tools we used allowed us to complete the challenge in a short time.
We hope that the work we put into this can make a difference in increasing people's awareness and improving the global health situation.
Space Agency Data
We used data from the COVID-19 dashboard by the CSSE (Center for Systems Science and Engineering) at Johns Hopkins University
https://gisanddata.maps.arcgis.com/apps/dashboards/bda7594740fd40299423467b48e9ecf6
This source was preferred because it displays clear and complete information globally and for numerous countries regarding total and current cases, deaths and the vaccine doses administered. We were able to easily use this data in our project.
The source also included data for the last 28 days in addition to weekly data. This space agency data also provided visual interpretation of the numbers on a global map view. Its presentation was simple and inclusive with a good display which inspired our simple design of the individualized application.
Hackathon Journey
This was a very interesting and fun experience for us. To participate in a challenge that involves impeding the risks of a global pandemic was interesting and motivating. This was a completely new experience for one member of the team, however, another member was last year's winner, which made this motivating for the team as a whole. We learned to be creative and resourceful through this challenge, but more importantly, this challenge has made us more knowledgeable of the current conditions and the status of the pandemic, as well as the different locations' numbers, precautionary measures, and overall safety status. What inspired our choice was that this challenge provides endless possibilities with which we can create the individualized COVID-19 risk warnings, which drove us to be imaginative and creative with our solution. To develop this project, we carefully observed and studied the resources offered and made conclusions on what data we can use and how to translate each information into clear and simple guidelines that the user can benefit from to increase their health security. We used the keywords provided in the "potential considerations" section to make conclusions on the information we will use. Additionally, we utilized past experiences with mobile application development to aid in our choices for the application's options, display, navigation, and the format of the message or warning that the user reads. The biggest challenge we faced was how to present all this data and the appropriate risk warnings according to this data in a consistent manner. This required calculations and comparisons of the different locations and checking the appropriate safety measures in the locations in order to provide realistic COVID-19 risk warnings. The details and tips provided for this challenge were very helpful. Also, what helped overcome the challenges was our consistent teamwork as each member contributed with their strong points, such as the member with an experience in this competition, and the team members that have an experience with mobile application development methods. We would like to thank the people that provided the open-source data for us to be able complete this project. We would like to thank NASA for this incredible challenge, and our university for presenting us with the opportunity to participate in this challenge.
References
https://gisanddata.maps.arcgis.com/apps/dashboards/bda7594740fd40299423467b48e9ecf6
https://www.thenationalnews.com/uae/latest-covid-19-rules-in-dubai-and-abu-dhabi-what-you-need-to-know-1.1155777
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402279/
https://gulfbusiness.com/abu-dhabi-announces-new-directive-on-booster-shots-for-vaccinated-individuals/
https://covid19.ncema.gov.ae/en/page/about-the-vaccine
https://u.ae/en/information-and-services/justice-safety-and-the-law/handling-the-covid-19-outbreak/national-disinfection-programme
https://proto.io/
Tags
#covid #ai #machinelearning