Uncertainty quantification in Covid-19 spread: Lockdown effects

Carpio, Ana; Pierret, E.

doi:10.1016/j.rinp.2022.105375

Cited by 3 publications

(1 citation statement)

References 28 publications

(65 reference statements)

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“…Some people have innated or vaccine immunity against certain diseases, and there is a MSIR model that expresses them with M. Over time, new compartmental models have been developed by considering various disease dynamics and additional compartments such as exposed, dead cases, maternally derived immunity, and insusceptible. Other example models include SEI [45], SIRS [46,47], MSEIR [48], SEIRV [49], SEIJR [50], SEIHR [51], SEIRD [14,29], SEIARD [15], SEIAQRDT [52], SEIQRDP [53] and SPEIQRD [54,55].…”

Section: Introductionmentioning

confidence: 99%

COVID-19 Pandemisinin Kompartman Modelleri: Sistematik Bir Literatür Taraması

YERİNDE,

2023

Bayburt Üniversitesi Fen Bilimleri Dergisi

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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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