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.

IdeaFix - Fixing the collapse of the health systems

Summary

The project establishes a relationship between the different climates in Brazil and the spread rates of the new coronavirus to predict the collapse of health systems in the country's 5570 municipalities. The data used involve the number of cases (deaths and infected) and the average temperature variation. From this combination, it is possible to establish a correlation between these data sets and to make predictive analyzes of the possible places where there may be a collapse in the health system. Thus, we help policyholders to act before the limit of health systems.

How We Addressed This Challenge

The NASA SpaceApps Challenge 2020 proved to be a good opportunity to work as a group in favor of presenting a solution to overcome the COVID-19 pandemic. Our team designed a web platform capable of tracking the vulnerability of health systems, first thinking of the 5570 municipalities in Brazil, but which can be scaled globally.

Through open data from different institutions, the platform can simulate a place where there is a greater chance of helping people who need medical care the most, removing the overload of professionals and health structures.

How We Developed This Project

Some Facts

In January 2020, the World Health Organization (WHO) began investigating a cluster of medical cases caused by a new strain of the severe acute respiratory syndrome (SARS) Coronavirus, SARS-CoV-2. It causes the disease COVID-19, which has spread rapidly throughout the world. Scientists know very little about it.

According to John Hopkins University until 30th May 365.535 people already died and almost 6 million were infected in 182 countries.

Personal Challenge

The project is a big opportunity for each one of us in the way that we can meet new people, work together, and develop an answer for the big question that is the COVID-19 pandemic. Instead of isolating ourselves from the world while we wait for the virus to go away, we help our fellows to overcome it with the help of science and technology. Searching and using data from renowned Institutions like NASA, ESA, JAXA, CNES, or CSA we are sure we can present a nice product to help solving the problem worldwide.

Motivator background

The scientific international community warned about the threat of the virus and it's contagious potential and his fast proliferation, almost any country couldn't prepare themselves in order to avoid the damage caused by its spread in national territories and had their health systems collapsed.

Brazil, the team's members country, has become the second in number of COVID-19 cases in the world in the last two weeks. The World Health Organization (WHO) said that Brazil is the new epicenter of the disease as the number is increasing each day.

Due to the lack of and poor management of the distribution of supplies, like hospitals and food supply, not only the public health system (SUS, in Brazil) but also the private hospitals are full of patients infected with the new Coronavirus.

What if we could prevent the next focuses of the sickness based on already existing data of COVID-19 and its spread? And also, what if we could warn about its specific needs concerning supplies to authorities helping to manage his efforts for the locations that are in need?

Space Agencies in Our Project

For the development of our API, we intend to use data of populational density based on The NASA Worldview app and NASA Earth Observation (NEO). Also, we will use data from the National Institute of Meteorology (INMET).

Tools

  • Visual Studio Code
  • GitHub
  • Figma
  • Adobe Premiere
  • Our World in Data
  • Johns Hopkins
  • Node.js
  • React
  • Express.js

Built with

In our solution, we decided to use an API capable of obtaining different types of data and returning them easily and safely. That way, we can work with the data to extract the most useful analysis from it. The API was created using Node.js and the Express framework, free, accessible, and widely used tools.

To build our Frontend prototype, we use the Figma software to create an application that is attractive and easy for the user to manipulate. We were also able to share progress with group members.

Problems

As every hackathon, lack of time is one of the biggest matters that groups may experience during the event. Instead of looking for data being the easiest part of the project, it made us lose a significant amount of time of production that could be used on the factoring of API and Front-end, which directly implies our MVP. The access of NASA and other space agencies data is excluded and hard to use, in the way that it presents itself decentralized and has different paths for being accessed. In summary, the bootcamp videos were essential for our group to access the databases and structure the whole idea, but it could have been an easier task to access all this space agencies data, allowing that the non-academic public could access it.

Achievements 

  • Met new people
  • We had a really good idea for a new platform that can help people and countries
  • We implemented a basic structure  in order to evaluate the limits and the opportunities of our implementation
  • We designed a landing page that provides the necessary impact of our solution
  • We projected an efficient way of showing the data that was analyzed

Impact

The project aims to address scalable solutions to issues of poor transparency in the capacity of hospitals available for the topic of rapid treatment of the disease. It will help those governments who do not have a defined path to deal with the new coronavirus or even do not have a logistic plan to tackle the pandemic situation. Also, citizens can access the product to find the best way to look for medical help.

Solution

IdeaFix is a free platform that gathers world and local data that elaborates a well informative and interactive dashboard that can predict where the health system is on the way to collapse. Any decision-maker or engaged NGOs can use this information to best address local support and citizens can find the emptiest place to go in case of infection.

Our application correlates COVID-19 cases and deaths with real-time data from climate and satellite maps, giving an advanced indicator of where the most crowded and empty hospitals in the surveyed region are. Identifying the best hospital early can offer the shortest response time and more agile measures can be taken to minimize the socioeconomic impact.

According to the number of cases and temperature data predict which countries are close to having their health systems collapse and when they will collapse based on the number of beds per 1000 inhabitants taking into account the population density (main factor of virus spread) and the average temperature.

Applicability and Economic Feasibility

First, we will use the already existing COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) for tracking contamination and the spread of coronavirus. Doing it so, we are able to correlate it to other data, like the environmental ones about temperature and population density, predicting where the virus is more likely to spread easily. Secondly, our product comes in handy for governmental and international representatives entities that need to focus on areas where the health system can’t bear the high demand of patients.

As global and local entities use our software for tracking COVID-19 cases, they will be able to focus their resources where it really would make the difference, avoiding giving unnecessary supplies to regions where the virus still is not as violent as the hotspots. Doing so, they can prevent the collapse of various health systems from different locations while still taking care of the ones that have already collapsed.

Future Plans

The IdeaFix team has a lot of ideas for helping people to make better use of data, starting with national coverage of COVID-19 and incorporating other illnesses into the project’s scope that could be traced by data crossing, just like malaria, ebola, H1N1, and even the flu. 

Besides, IdeaFix has the idea of ​​creating new platforms to integrate marginalized communities, which often suffer from a lack of access to health services around the world.

Acknowledgment

We appreciate:

  • AEDES Project
  • Johns Hopkins University
  • Our world in data
  • All the bootcamp professionals
  • NASA 
  • IBGE ( Brazilian Institute of Geographic Research )
  • INPE ( National Institute of Space Research )
Project Demo

YouTube

https://youtu.be/4MxLRD4o9ys

Twitter

https://twitter.com/IdeaFixProject

Figma

https://www.figma.com/proto/w8FFSv4N19geEaqE1gfG5k/IDEAFIX?node-id=0%3A2&scaling=min-zoom


Data & Resources
  1. Ivanov, Dmitry. “Predicting the Impacts of Epidemic Outbreaks on Global Supply Chains: A Simulation-Based Analysis on the Coronavirus Outbreak (COVID-19/SARS-CoV-2) Case.” Transportation Research Part E: Logistics and Transportation Review, Pergamon, 24 Mar. 2020, www.sciencedirect.com/science/article/pii/S1366554520304300#bi005.
  2. Bukhari, Qasim and Jameel, Yusuf, Will Coronavirus Pandemic Diminish by Summer? (March 17, 2020). Available at SSRN: https://ssrn.com/abstract=3556998 or http://dx.doi.org/10.2139/ssrn.3556998
  3. COVID-19 Map. Retrieved 30 May 2020,  Johns Hopkins Coronavirus Resource Center, 2020, https://coronavirus.jhu.edu/map.html
  4. “Health Equipment - Hospital Beds - OECD Data.” The OECD, 2018-2020, data.oecd.org/healtheqt/hospital-beds.htm.
  5. “Population Density.” NASA Earth Observations, NASA, 2020, neo.sci.gsfc.nasa.gov/view.php?datasetId=SEDAC_POP.
  6. Estatística, et al. “Séries Estatísticas & Séries Históricas: Saúde - Recursos e Cobertura Vacinal e Mortalidade: Indicadores De Recursos: Leitos Por Mil Habitantes: 1990-2009.” IBGE, 2010, seriesestatisticas.ibge.gov.br/series.aspx?vcodigo=MS33.
  7. NCEI, National Centers for Environmental Information. “Version 4 DMSP-OLS Nighttime Lights Time Series.” Earth Observation Group - Defense Meteorological Satellite Progam, Boulder, www.ngdc.noaa.gov/eog/dmsp/downloadV4composites.html.
Tags
#ideafix #covid-19 #nasadata #spaceapps #OCDE #opensource #publicdata #3SDG #software
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.