Journal of Physical Mathematics · 2021

Optimal Intervention Policies for the COVID-19 Pandemic Emerge from Socioeconomic-Heterogeneous Dynamics

Teddy Lazebnik

ACML authorsTeddy LazebnikPI

The paper at a glance

Before vaccination was available, managing the spread of COVID-19 relied on non-pharmaceutical interventions, measures other than drugs or vaccines. Many mathematical models have been proposed to predict the spread and analyze these interventions in multiple scenarios. We review the latest models and their main shortcomings, in particular that they model a homogeneous population, where everyone is treated alike, rather than a heterogeneous one.

Key findings

  • During the period without vaccination, managing pandemic spread relied on non-pharmaceutical interventions.
  • We review the latest mathematical models of non-pharmaceutical interventions for pandemic spread and their main shortcomings.
  • A key shortcoming is modeling a homogeneous population rather than a heterogeneous one.
On this page
  1. Abstract

Abstract

The COVID-19 pandemic is a rolling crisis that required policymakers around the world to take action to manage the pandemic spread. During the period where vaccination was not available, the pandemic spread management lied in Non-Pharmaceutical Interventions (NPIs). A large number of mathematical models have been proposed to predict the pandemic spread and analyze the influence of various NPIs on multiple scenarios, getting more accurate and sophisticated over time. In this work, we review the latest mathematical models for pandemic spread NPIs and their main shortages. Specifically, the usage of modeling a homogeneous population rather than a heterogeneous one.

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Cite this paper

APA

Lazebnik, T. (2021). Optimal Intervention Policies for the COVID-19 Pandemic Emerge from Socioeconomic-Heterogeneous Dynamics. Journal of Physical Mathematics.

BibTeX

@article{lazebnik2021optimal,
  title = {Optimal Intervention Policies for the COVID-19 Pandemic Emerge from Socioeconomic-Heterogeneous Dynamics},
  author = {Lazebnik, Teddy},
  journal = {Journal of Physical Mathematics},
  year = {2021}
}