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SEAHIR: A Specialized Compartmental Model for COVID-19.
Alexandros Leontitsis1, Abiola Senok2, Alawi Alsheikh-Ali2
1Smart Dubai Department, Dubai Design District, Building 1A, Dubai P.O. Box 555995, United Arab Emirates.
Summary
A new Susceptible-Exposed-Asymptomatic-Hospitalized-Isolated-Removed (SEAHIR) model refines disease spread predictions for pandemics like COVID-19. This enhanced epidemiological tool aids in forecasting healthcare needs and guiding public health interventions.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health
Background:
- The standard SEIR model is insufficient for novel pandemics like COVID-19.
- Accurate modeling is crucial for understanding disease dynamics and resource allocation.
Purpose of the Study:
- To develop and validate the specialized SEAHIR model for COVID-19.
- To improve pandemic response by detailing transmission pathways and healthcare demands.
Main Methods:
- Developed a six-compartment SEAHIR model, expanding the 'Infected' state.
- Incorporated non-pharmaceutical interventions and testing strategies.
- Optimized parameters using UAE COVID-19 data and benchmarked against historical cases.
Main Results:
- The SEAHIR model accurately captures COVID-19 outbreak dynamics.
- Demonstrated utility in forecasting healthcare needs and case numbers.
- Validated through a case study in the United Arab Emirates.
Conclusions:
- The SEAHIR model offers a more nuanced approach to pandemic modeling.
- It provides valuable insights for decision-making regarding interventions and healthcare capacity.
- The model is adaptable for use in other countries during current or future pandemics.
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