High-Level Project Summary
We have developed a tool capable of accessing data related to covid-19 and show it to the user in a simple and understandable way, customized for their locality. In addition, our tool allows the user to select a destination location and calculate travel risks based on covid-19 data at that location. Our tool solves the problem of finding relevant and personalized information about the virus; in a scenario where very close locations may have very different levels of infection, this is especially relevant. Furthermore, it is worth mentioning that our tool makes a variety of data available, including things like number of infected, recovered, deaths, active cases, among others.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
What does the app do and what are the future plans for new features?
Our project allows its users to visualize information about the covid-19 in simple and efficient graphics. This data can be related to the user's current location, or to a specific city chosen by the user. The user can view a range of relevant information about the state of the pandemic at the site, such as number of deaths, recovered, vaccinated; as well as the state of the pandemic at the national level.
Future plans
- Search Covid-19 data about a specific location, in order to analyze the risks of a potential travel.
- Warn if there are infected individuals in the surroundings, show how many people have been there recently.
- Check the flow of people by time, in order to avoid crowding through awareness based on the information.
- Ranking of cities in Brazil by number of infecteds.
- Ranking of cities in the World by number of infecteds.
- Add database of each country individually, providing information of infected, deaths, vaccinated and cured by state and city in each country.
How it works
It has three pages:
- Map - Analyzes travel risk by adding place of origin and destination and comparing risk data for each location.
- Menu - Add locations that you want to receive notifications, add address city, corresponding region and destination cities.
- Main - Shows information about the individual's home city, region and global data.
What are the benefits
It provides information for people to make more assertive and safer decisions, enabling not only individual safety, but also that of family members, friends and individuals who are nearby. The benefits are evident locally, nationally and globally, as it limits an over-spread event, and because it is a highly infectious disease, a single patient can get sick more than 100 people in one place, and thus, exponentially, generate a new outbreak in one location.
Still considering the prospects for the pandemic, experts discuss the possibility of endemic disease. In other words, even if the disease is controlled with the advance of vaccination, new waves may occur, generating occasional outbreaks, which indicates chances of living with Covid-19 for some time to come. Thus, application is not important in the short term, but also in the medium and possibly long term.
What do you hope to achieve with the project
Ideally, by adhering to the application developed by the project, it will become possible to reduce the degree of contagion, alerting about risk areas in real time, informing about the current situation of the pandemic, in order to facilitate daily decisions based on an understanding of the risk levels , avoiding over-propagation events and consequently mitigating the duration and intensity of occasional outbreaks.
What tools, coding languages, hardware or software did you use to develop your project
- Prototyping tool - Figma;
- Coding language - Flutter and Dart;
- Ideation tool - Miro;
- Software - Flutter;
Space Agency Data
We used the data provided by one of the examples given in the challenge:
https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
Through the example, we could get to this github that contained csvs with data about covid-19, by country and province. With this data in hand, we were able to filter the data by location:
https://github.com/CSSEGISandData/COVID-19
This data was quite comprehensive, allowing us to search for data by province in all locations around the world.
Hackathon Journey
Overall, it was a very positive experience. Using real NASA data to produce an app with real application and capable of helping to control the pandemic provided us with additional motivation. Being in contact with other people participating in the event allowed an exchange of experiences and visions that will certainly be useful in the future. Having the help of mentors always making us do our best and developing the best project possible was an extremely rewarding experience. Despite the short time for project development, we could see that a well-organized team and a division of tasks allowed the application to be built little by little; this is definitely the main lesson we will take from the hackaton.
We chose this challenge because it is a theme that affects everyone in the world. We came to the conclusion that an app focused on this theme would have the chance to positively impact the lives of millions of people.
To solve the challenges, we used the technique of division and conquest. When a very laborious task came up, we divided the work among all the group members; in this way, little by little the problem was resolved.
References
NASA covid-19 data: https://github.com/CSSEGISandData/COVID-19
COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU): https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
Framewort used to project development: https://flutter.dev/
Prototype tool: https://www.figma.com/
Tags
#software, #covid-19, #pandemic, #health, #travel
Global Judging
This project has been submitted for consideration during the Judging process.