COVID19 Tracker - Application for Tracking Social Interaction in an Epidemic Scenario
- Funded by Decanato de Pesquisa e Inovação - Universidade de Brasilia (DPI)
- Total publications:0 publications
Grant number: 1048422
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Key facts
Disease
COVID-19start year
-99Known Financial Commitments (USD)
$103,212.9Funder
Decanato de Pesquisa e Inovação - Universidade de Brasilia (DPI)Principal Investigator
Renato Alves BorgesResearch Location
BrazilLead Research Institution
N/AResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Disease transmission dynamics
Special Interest Tags
N/A
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
In the pandemic scenario with exponential growth of new infected people, the lack of effective methods to track infected people and thus promote more effective social distance hinders the process of containing a rapidly spreading virus. The main objective of this application is to offer society a simple way to confront the threat of COVID-19 through a solution that tracks the interaction between people. Such a solution will allow the citizen to quickly know whether he has come into contact with an infected person, and whether he knows him or not. It also allows authorities at the Ministry of Health and consequently other bodies, research institutes to have access to crucial data on traceability and behavior. Thus, acting actively in the mitigation of the contagion curve and reducing the citizens' anxiety created during the pandemic scenario. The proposed solution is versatile, allowing the integration of different functionalities according to the demand of healthcare professionals, and it will also be able to more precisely guide the testing actions, reducing associated costs. Yet,