Epidemic Plateau: A Phenomenon under Adaptive Prevention Strategies
Hao Liao, Ziqiang Wu, Alexandre Vidmer, Mingyang Zhou, Wei Chen

TL;DR
This paper extends the standard SIR epidemic model to include adaptive prevention measures and inter-city mobility, revealing a plateau phenomenon in infection levels that aligns with real-world COVID-19 data.
Contribution
It introduces a novel epidemic model with adaptive policies and multi-region interactions, providing theoretical insights into the emergence and duration of infection plateaus.
Findings
The model predicts conditions for infection plateau formation.
Real-world data confirms the existence of plateaus during COVID-19.
Theoretical analysis matches experimental results.
Abstract
Since the beginning of the COVID-19 spreading, the number of studies on the epidemic models increased dramatically. It is important for policymakers to know how the disease will spread and what are the effects of the policies and environment on the spreading. In this paper, we propose two extensions to the standard SIR model: (a) we consider the prevention measures adopted based on the current severity of the infection. Those measures are adaptive and change over time; (b) multiple cities and regions are considered, with population movements between those cities and regions, while taking into account that each region may have different prevention measures. Although the adaptive measures and mobility of the population were often observed during the pandemic, these effects are rarely explicitly modeled and studied in the classical epidemic models. The model we propose gives rise to a…
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Taxonomy
TopicsCOVID-19 epidemiological studies · Mathematical and Theoretical Epidemiology and Ecology Models · Complex Network Analysis Techniques
