%0 Journal Article
%T EPIDEM: A Technology-Enabled COVID-19 Elimination Strategy
%A Goetz Robert Uwe Grosche
%A Sanam Shah
%A Anna Katrina Javier Bolivar
%J E-Health Telecommunication Systems and Networks
%P 60-69
%@ 2167-9525
%D 2020
%I Scientific Research Publishing
%R 10.4236/etsn.2020.94005
%X <b>Background:</b> The novel Coronavirus disease 2019 (COVID-19) has
rapidly evolved into a global emergency with far-reaching consequences.
Multiple models predict mounting morbidity and mortality in the absence of
appropriate interventions. Screening of sub-clinical cases through technological
tools has the potential to eliminate virus containment in the population. <b>Objective: </b>Our aim was to develop an effective application that detected early
COVID-19 infections and resulted in four-dimensional
(4-D) data visualization systems to develop safe networks whilst respecting
user privacy. <b>Methods: </b>We proposed an algorithm for a novel form of contact tracing and
screening that can detect infection before manifestation of clinical symptoms
and signs. We developed a simulation model that demonstrated impact on the
pandemic through percent change in the ¡°trigger
point¡±. <b>Results: </b>A ¡°trigger point¡± based on personal risk assessment generated a visual report to the
community network. The following outcomes were rendered in the app: live
surveillance of metadata, hotspot mapping, targeted live health messaging to a
large population, an infection control passport technology, and personal
hotspot avoidance warnings. Our model suggested that higher adoption of such strategies can
potentially eliminate viral carriage in the population. <b>Conclusions: </b>Our proposed technology-enabled screening, detection, and elimination
strategy presents a novel approach to eliminate the viral containment. This app
could be applied to the COVID-19 pandemic as well as other outbreaks and
epidemics in the future to control the unprecedented disease spread.
%K Coronavirus Disease 2019
%K COVID-19
%K Pandemic
%K Outbreak
%K Contact  Tracing
%K Technology
%K Application
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=105831