Our project has in its foundation the identification, through the analysis of given data and sources external to those of NASA SpaceApps, of a certain tendency to rapid propagation of viral diseases (in this case, COVID-19) in areas of high demographic density, since they promote interpersonal contact as consequence of intense flux of people displacements. This pattern shows, too, in a smaller scale, inside macro regions and urban centers. It's generated, therefore, "danger zones", in which, due to the factors mentioned before, the transmission risk is higher. Installing mass fast testing (SWAP) in places of higher demographic density, is possible to create a database that will feed the app this project proposes to develop; allied with permissions granted by the users (GPS and radio), will be able to foresee possible future "danger zones" indicating where positive tests (that shall remain nameless and unidentifiable) are concentrated, their displacements, and if given area is going up or down on the contamination curve.
Team members chose this challenge because they believe that our maximum potential and capacity are best applied to topics directly related to human beings and their behavior. This relationship refers to the members' areas of activity.
Firstly, to recognize and define one of the main problems related to the moment in which we live and, from there, to create a viable solution, compatible with the current reality, simple and whose final objective is to contain the emergence of new cases. of the 19 in the world, predicting possible future critical zones in the presence of the virus.
Various data provided by space agencies were used in all stages of creation. From the formulation of a problem and its possible solutions to the relevance of the development of our application.
In this project we used some development programs to portray our ideas in a bigger scale and to structurize the marketing. Our initial idea was to create an application that could be used on either IOS or Android smartphones. Consequently, we decided to use the "Marvel App" to the visual "mask" for the app, in which we could display more organically our video. Also, we used the "Adobe Premiere Pro CC 2019" program as our editing tool, considering we used the online app "Canva" to create some designs in the storyboard.
We had some difficulties in managing the relatively short time to carry out the tasks. However, we managed to carry out all the tasks, jointly, with the intense participation of all members from beginning to end. Our main achievements were the creation of the application, CoFinder, as planned, the establishment of differentiated logistics to carry out rapid tests for virus detection and the establishment of data collection from these as a source of information that will dynamically and dynamically re-feed CoFinder continues.
https://sedac.ciesin.columbia.edu/mapping/popest/covid-19/e https://www.bing.com/covid
https://earthdata.nasa.gov/collaborate/open-data-services-and-software/api/gibs-api
https://coronavirus.jhu.edu/map.html
https://search.earthdata.nasa.gov/search?m=-0.140625!0!2!1!0!0%2C2
https://worldwind.arc.nasa.gov/
https://earthdata.nasa.gov/collaborate/open-data-services-and-software/ap