COVID-19 Pandemisinin Kompartman Modelleri: Sistematik Bir Literatür Taraması

Deniz Yeri̇nde, Merve Er
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Abstract

As COVID-19 rapidly spread all around the world, different methods have been proposed to explore the dynamics of the pandemic, understand the transmission mechanism, and assess the preventive measures. Mathematical models are frequently used worldwide to predict various parameters and develop effective policies for disease control. Compartmental models are the most popular mathematical models in epidemiology. These models divide the population into distinct groups (compartments) based on their status and describe the movement of an individual from one compartment to another. Various compartmental models and their variations have been developed to model the pandemic dynamics and measure the efficiency and necessity of different initiatives such as lockdowns, face masks, and vaccination. This paper provides a systematic literature review on different compartmental models proposed to model the COVID-19 pandemic. These models are discussed in detail based on the compartmental structure in the model, aim of the model, variables, and methodological approaches.
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COVID-19 大流行的分区模型:系统文献综述
随着 COVID-19 在全球迅速蔓延,人们提出了不同的方法来探索流行病的动态、了解传播机制和评估预防措施。数学模型在世界范围内被频繁用于预测各种参数和制定有效的疾病控制政策。区隔模型是流行病学中最常用的数学模型。这些模型根据人口的状态将其分为不同的群体(区隔),并描述个体从一个区隔向另一个区隔的移动。人们开发了各种区隔模型及其变体,以模拟大流行病的动态,并衡量封锁、戴口罩和接种疫苗等不同措施的效率和必要性。本文对为模拟 COVID-19 大流行而提出的不同分区模型进行了系统的文献综述。本文根据模型中的区隔结构、模型的目的、变量和方法对这些模型进行了详细讨论。
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