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Interpreting airborne pandemics spreading using fractal kinetics’ principles
Name | World Continuing Education Alliance |
Activity Title | Interpreting airborne pandemics spreading using fractal kinetics’ principles |
Details | Recently, Jewell. People worldwide are concerned about the uncontrolled “exponential” spread of a disease, yet it is not clear or justified if this description is correct. In fact, an alternative “power” model based on an adjustable exponent of time has been proposed.n
Objectives
Course Objective
The reaction between susceptible and infected subjects has been studied under the well-mixed hypothesis for almost a century. Here, we present a consistent analysis for a not well-mixed system using fractal kinetics’ principles.. We analyzed COVID-19 data to get insights on the disease spreading in absence/presence of preventive measures. We derived a three-parameter model and show that the “fractal” exponent h of time larger than unity can capture the impact of preventive measures affecting population mobility.. The h=1 case, which is a power of time model, accurately describes the situation without such measures in line with a herd immunity policy. The pandemic spread in four model countries (France, Greece, Italy and Spain) for the first 10 months has gone through four stages: |
Competence | Public Health |
Start Date | <span class="not-set">(not set)</span> |
End Date | <span class="not-set">(not set)</span> |
Event Time | 09:45 AM |
Location | World Continuing Education Alliance eLearning System |
Cost (UGX) | 0 |
CPD Points | 1 |
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