Way.li

Where There’s a Link, There’s a Way

Since the COVID-19 pandemic began, there has been a proliferation of websites and portals developed to share resources about the topic. Your challenge is to find innovative ways to present and analyze integrated, real-time information about the environmental factors affecting the spread of COVID-19.

Summary

With the objective to resolve the disinformation problem about the correlation between environmental variables and dissemination of infectious diseases, Way.li platform aims to compile databases from trustful sources and show all information in an easy and understandable way. Also, it can be used by anyone with a computer or smartphone, giving orientations about the infection rate and being a full plate for the scientific community. That’s crucial to disseminate relevant information and reduce the number of infections through conscient decision making aided by the platform.

How We Addressed This Challenge

Way.li shows in an easy and direct way how environmental factors can influence the infectious diseases’ propagation. That way, the population can guide themselves which day and regions have more viral propagation, avoiding and decrease the contagion. Also, our information can help scientist institutions that need this data for researches or political intuitions for the public health. Overall, we propose a viable solution that can cause a huge impact in how prevent and disseminate information about infectious diseases in a complete innovative platform.

How We Developed This Project

Our team choose this challenge because of the opportunity to offer an online solution for the disinformation and uncertain information about how the environment factor can influence in the infectious disease transmission. We see the chance to cause a big impact with a viable platform.

Articles and real-time database from environmental factors were used, found in NASA’s website and its partners. For the prototype, we choose for a visual presentation of our layout platform, for show to you how it works - Adobe Illustrator and Adobe Photoshop were used. We expect to use machine and deep learning with python (more specifically sci-kit learn, keras and tensorflow libraries) and other tools that allow us to develop the project.

We had difficulties. We change our ideas. But we worked as a team and everything worked out to a productive solution - always with the purpose of make this viable and efficient.

Project Demo

https://www.youtube.com/watch?v=ziYr515c_mI
https://drive.google.com/drive/folders/1wfLD1m2zjYJUplEYzuk4TKjzXkAlFjLb?usp=sharing

Data & Resources

https://climate.gov/maps-data/primer/what-environmental-data-are-relevant-study-infectious-diseases-covid-19

https://covid19.who.int/?gclid=CjwKCAjwq832BRA5EiwACvCWsRjO6NUJDrAurSn4bEwwwNrwGglrrXgZ3xcdgoKeZ8LFH5BeEHYgzxoCaxEQAvD_BwE

https://www.bbc.com/news/health-52473523

https://ciclovivo.com.br/covid19/6-fatos-sobre-coronavirus-e-meio-ambiente/

https://revistagalileu.globo.com/Ciencia/Saude/noticia/2020/04/poluicao-pode-ser-fator-agravante-para-mortalidade-por-covid-19-na-italia.html

NASA Marble - https://blackmarble.gsfc.nasa.gov/

JASMES Map Monitor - https://kuroshio.eorc.jaxa.jp/JASMES/index.html

NOAA NDFD Forecast - https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/national-digital-forecast-database-ndfd

WindFinder Map - https://pt.windfinder.com/#5/-1.1425/-31.5099/2020-06-04T21:00Z

Johns Hopkins Coronavirus Resource Center Dashboard: https://coronavirus.jhu.edu/map.html

https://news.google.com/topics/CAAqBwgKMN30lwsw_J2vAw/sections/CAQqEAgAKgcICjDd9JcLMPydrwMw2abOBg?hl=pt-BR&gl=BR&ceid=BR%3Apt-419

Nasa Earth Data - https://sedac.ciesin.columbia.edu/mapping/popest/covid-19/

Global Judging

This project was submitted for consideration during the Space Apps Global Judging process.

Way.li| Where There’s a Link, There’s a Way