Objective and scope:

Our proposal aims to measure population density and analyze the movement of people using the mobile phone network, to keep users informed in order to avoid contagion in places where social distancing may not be kept.

Daily activities such as transport in public systems, do shopping in supermarkets, make trips to the workplace, go shopping in malls, etc. might be re-scheduled by the user based on the risk of contagion information that will be obtained from our system in relation to these activities. The information can be shown with an alert to the cell phone of each user that suggests or indicates the level of risk of contagion, depending on the state of the places they frequently go to.

In the context of the challenge (Human Factors) regarding the identification of predictive factors for the spread of the disease, this project of associating public and private information to indicate levels of risk of contagion to the population is proposed. This solution will allow to indicate, based on various information crossings that will already be detailed, to each user the possibility or risk of becoming infected from information that our system will provide, along with alternatives to reduce such risk.