The team identified itself with the category of Best use of data, as it will use for the development of statistical and estimation algorithms, cartographic data from NASA, demographic data from IBGE and World Pop data on population circulation during the pandemic. Aiming to provide information that is useful in combating the spread of Covid-19, such as the identification of regions most vulnerable to the disease so that private agencies and companies can act more assertively. The information can be in the form of summaries, detailed graphics, maps and tables. The platform can be used by city halls, state governments or even the federal government to outline strategies such as mass testing of the most vulnerable areas, strategies to increase isolation, among others. Companies or the local community itself can devise strategies for donations to the most needy populations. This solution is also global in scope, as it is possible to map using the database of any country.
The team is multidisciplinary with members from the areas of engineering and computer science, so the challenge of an integrated solution offered greater opportunities to apply the knowledge of all members. For the development of the project, the problem tree methodology was used, where the central problem within the chosen challenge was first identified. After identifying the problem, possible solutions were listed, reaching the most appropriate solution, which would be to use geo-referenced socioeconomic data to predict Covid-19's dissemination patterns. In this sense, these data could be obtained on NASA platforms and other research agencies such as WorldPop. The project was developed using various tools, mainly Google Meets, Google Docs, Google Keep, Miro, Whatsapp and Discord for the meeting of members and ideation. Quant-UX was used for prototyping. During the development of the project, the main problem faced was the development of a very short pitch, of only 30 seconds and the great achievement was to be able to identify a technically and scientifically viable, innovative and scalable solution.
https://drive.google.com/file/d/10gzQsJ_Q_xuxcKdHtB5qBmwzjsthQTCG/view?usp=drivesdk
The solution focuses on using information available on various platforms to map regions of vulnerabilities in relation to the spread of Covid-19. Therefore, the data used would be collected in NASA databases, like the data found in the World Pop that provide high resolution and open data on the distributions of human populations, allowing to understand the dynamics of populations on a local, regional and national scale. Also, there is data from the World Health Organization, which provides information from around the world. In relation to Brazil, it has information on the number of deaths, confirmed cases, new cases, number of deaths per 1 million inhabitants and confirmed cases per 1 million inhabitants
NASA's resources will then be used as follows:
Use of APIs such as NASA, World Pop and IBGE to capture data such as geolocation, demographic density, socioeconomic status, among other available data.
After capturing this data for the project's cloud, an algorithm developed by the team will be used to create an easy-to-understand dashboard on the website that will be made available to the Government and private companies to check the information in the form of graphs, spreadsheets or small articles with the analyzed data, which can be easily accessed.
Links:
https://earthdata.nasa.gov/collaborate/open-data-services-and-software/api
https://covid19.who.int/explorer