We use the Earth Engine tool as an important reference for creating new information when it is crossed with other health data. Providing insights into the health area in a given region. Impacting how to manage the local authorities and providing more resources for conducting new research and developing innovations.
We chose this challenge because we are all motivated to take information to the world and we have great passion in the field of data science and artificial intelligence.
Our approach was to solve a complex problem such as the relationship between diseases and climate change with a simple and friendly interface to our target audience that are more focused on the health area.
For prototyping, we use JavaScript, HTML, CSS, Ruby on Rails as the language and among the tools we select solutions in data science and artificial intelligence, such as neural networks.
Projects that involve external data collection usually face difficulties such as: different standards, incomplete data or ways of making them available. But everything was overcome with meticulous and continuous work.
The greatest achievement is to realize that we can positively impact the planet in a joint effort, offering information so that public managers can make the right decisions, being a source of information so that other researchers can work on more solutions.
Our project uses the Earth API as one of its databases, made available by NASA on its website. We chose this API to collect historical data related to temperatures in different locations worldwide and treat them together with other bases so that they can be applied to the tool we are creating and later apply the data treated to train the neural networks responsible for the prediction of diseases based on in weather events. In addition, our view of the world will also occur using this API.
In addition, all information created from the extracted data can be reused for the development of new research in the institutions themselves.
https://youtu.be/y2awMml768s
Earth Engine (Climate and Weather), WHO ( https://www.who.int/data/gho/info/gho-odata-api ; https://apps.who.int/healthinfo/statistics/mortality/whodpms/), Google Maps.