Solutions » All Solutions » Technology: Epidemiological intelligence model for the identification of practices about Covid 19: technological and social innovation solutions for Medellín, Colombia
Technology Epidemiological intelligence model for the identification of practices about Covid 19: technological and social innovation solutions for Medellín, Colombia
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Keyword(s) | COVID-19AdaptationData tracking and modellingDigital Enhanced LearningEducationmachine learningcapacity planning One Healthcity develop |
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Author(s) | Yessica GiraldoDiana Restrepo |
Technology
The problems generated by Covid 19 are complex and
affect all spheres of society. The emotional affectation entails enormous
alterations in perception and decision-making, therefore communication at all
levels becomes chaotic. Seeking to restore order and, above all, adaptation to
the "new reality" is an arduous process that takes time.
This proposal focuses on one of the 5 axes that the
WHO has identified as key strategies for a successful management of the
pandemic called “effective communication”. Effective communication in times of
crisis is essential to get governments and health authorities a better control of
the spread of the pandemic to save more lives.
The main purpose of this proposal, it is to generate a
social impact by designing tailored strategies and solutions. Our research
involves deeper diagnostics, predictive analytics and the design of solutions
for sustainable development within the framework of “One Health”.
We seek to generate new knowledge in health management
of the pandemic, such as the risk of Covid 19 and its social appropriation by
the communities. In order to do so, we have formed an alliance with Purdue
University and its communication research center: "Alliance PURCES for
Good communication in Covid 19", aims to strengthen the qualification of
researchers to contribute to the development of ITC in the country and the
region.
This proposal combines the systemic methods and models
of epidemiological intelligence, with the most accurate statistical analyzes to
estimate the effects of interest; computer and analytical advances such as
Machine learning to generate predictive analysis. Moreover, it also takes into
account qualitative social sciences concepts and techniques to develop a more
comprehensive analysis the complex reality. ggFinally, E-health solutions and
initiatives will be designed to promote and improve the urgent social adaptation
and management of the “new reality” in sustainable way.
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Submitted by
Name | Yessica Giraldo |
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Organization | CES University |
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