Human Factors

The emergence and spread of infectious diseases, like COVID-19, are on the rise. Can you identify patterns between population density and COVID-19 cases and identify factors that could help predict hotspots of disease spread?

Provact

Summary

The difficulty of recognizing the critical points due to the scarcity of information makes the development of plans to combat health problems inefficient and expensive. Using data acquired from NASA satellites, cell phone geography, human and social indicators it is possible to create a tool that allows combining and analyzing all this information, drawing causality parallels, to obtain a mechanism that allows the recognition of critical points. Thus, from these, it becomes possible to plan early and effective actions. Therefore, as a result, there is a decrease in the expenditure of resources and greater success in the measures adopted.

How We Addressed This Challenge

Using data obtained from NASA satellites, the location of cell phones, human and social indicators, it is possible to identify critical points, that is, regions that are vulnerable to disease. From there, the government can devise strategies that aim to guarantee the safety of the population

How We Developed This Project

Our team chose this theme because one of the members lives in Manaus, in the Amazonas state which was strongly affected by COVID-19. We wanted to find a solution for regions with fewer resources than the rest of the world. Through watching government's press conferences, we perceived that local policymakers often do not have enough data to make decisions and conclude decisions made on hunches.

We use data from NASA and other sources to see what would be useful as an indicator of the region. NASA's most useful information was related to the mobility of people (very important factor to contain diseases) - we used night lights and the pollution area. For the project, we used Jupyter Notebooks (with Python) for the data and the polimap.com/ program as a source of inspiration.

Our biggest problem was getting focus on the challenge, due to the limited time. Our biggest achievement was to learn more about the theme and also about ourselves, due to the hackathon format



Data & Resources

Mobility: 

https://earthdata.nasa.gov/learn/pathfinders 

https://www.google.com/covid19/mobility/ 

Healthcare: 

https://datasus.saude.gov.br/ 

https://www.who.int/gho/database/en/ 

Cultural: 

https://wellcome.ac.uk/reports/wellcome-global-monitor/2018 

http://data.uis.unesco.org/ 

https://www.ibge.gov.br/estatisticas/multidominio/cultura-recreacao-eesporte/9388-indicadores-culturais.html?=&t=o-que-e 

Socioeconomic: 

https://data.worldbank.org/ 

https://www.ibge.gov.br/estatisticas/todos-os-produtos-estatisticas.html


Tags
#data #criticalpoints #controldiseases #health #population #government #analytics #Brazil
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.