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Compartmental structures used in modeling COVID-19: a scoping review
Lingcai Kong1, Mengwei Duan1, Jin Shi2
1Department of Mathematics and Physics, North China Electric Power University, Baoding, 071003, China.
Infectious Diseases of Poverty
|June 21, 2022
Summary
This review categorizes compartmental structures in COVID-19 dynamic models. Understanding these models aids in predicting disease spread and informing public health strategies for COVID-19 and future epidemics.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health
Background:
- COVID-19 pandemic is a major global health crisis.
- Dynamic models are crucial for understanding and controlling infectious disease outbreaks.
- Compartmental structures within models are key to accurately simulating disease transmission.
Purpose of the Study:
- To review and categorize the compartmental structures used in dynamic models for COVID-19.
- To provide a reference for future infectious disease modeling.
- To inform the development of effective prevention and control strategies.
Main Methods:
- Scoping review of 241 research articles published before May 14, 2021.
- Analysis of three main types of dynamic models: expanded SEIR, meta-population, and agent-based models.
- Categorization of compartments based on disease characteristics, interventions, and demographics.
Main Results:
- Identified various compartment expansions for SEIR-based models.
- Noted that meta-population and agent-based models often use simpler compartmental structures.
- Highlighted the adaptation of compartments to specific modeling objectives and complexities.
Conclusions:
- Dynamic models remain essential tools for predicting COVID-19 spread and evaluating interventions.
- The reviewed compartmental structures offer guidance for COVID-19 and other infectious disease modeling.
- Accurate modeling is vital for evidence-based public health decision-making.
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