First of all, this will be a mobile application. It will correlate information from various databases (as detailed in the Inputs paragraph). The process will begin when the user defines his destination and transportation, using his smartphone.
With this information, the system accesses the appropriate databases (also detailed in Inputs paragraph) and it will provide the risk level of defined route, according to covid-19 contagion report, related with his selection.
The user may decide if they may refrain from going to their destination or go anyways. In such a case, two processes are verified:
1) Updating the database for traceability.
2) The system will also provide the user additional information about precautions to consider for that location.
If the user decides not to go to his destination, two events will trigger in the system:
1) The database for traceability will be updated.
2) The mobile application will provide various alternatives for places similar to the former destination, in wich, if the user deciedes to take that destination will cause a new selection cycle.
Reference image
This project wants to protect people, to ensure adequate social distance, developing a system that provides information about the level of risk of getting Covi-19 in a given destination, and suggests low-risk alternatives for people.
We were inspired by the need of people to have to go out and look for their daily sustenance putting their health at risk.
https://www.census.gov/programs-surveys/acs/
Census Bureau Data for COVID-19, American Community Survey
The population’s data sample will be obtained by mobile telephone companies, people counting system from places of high public concentration, to provide, through a web service, a correlation between the census data, and population displacements, generating predictive data of potential risks of contracting Covid.
Besides, when user plans the trip into an Android mobile application, will be informed of the degree of exposure to health risk.
Inputs:
1. Mobile phone network
2. Information on the public transport system.
3. Census Bureau Data for COVID-19, American Community Survey.
4. Information on commercial places of high public concentration (Mall, supermarkets, metro, subway) delivered by a network of concurrency measurement sensors.
5. Geolocation of the user (smartphone).
6. Last National Census.
Traceability
The information received from the user will be saved into database to find patterns or correlations in subsequent Big Data processes, which contribute to relating the behavior of the population with the proposal made by the system to each user.