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Getting Jab or Regular Test: Observations from an Impulsive Epidemic COVID-19 Model
Kaihui Liu1, Zhenguo Bai2, Daihai He3
1Institute of Applied System Analysis, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
Bulletin of Mathematical Biology
|September 7, 2023
Summary
Optimizing COVID-19 testing frequency for unvaccinated individuals is crucial. The ideal testing schedule depends on factors like vaccine efficacy, transmission rates, and test accuracy to minimize disease spread.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health
Background:
- COVID-19 vaccines are effective, but vaccine hesitancy and medical conditions lead to unvaccinated populations.
- Compulsory testing for unvaccinated individuals varies in frequency across sectors.
- Determining optimal testing frequency is essential for disease control.
Purpose of the Study:
- To develop a population-based model to determine optimal testing frequency for unvaccinated individuals.
- To analyze the impact of personal decisions, vaccine efficacy, and transmission uncertainties on testing strategies.
Main Methods:
- A population-based model using impulsive differential equations was formulated.
- Time instants represented test result reporting for unvaccinated individuals.
- Epidemiological indices like basic reproduction number and transmission risk were employed.
Main Results:
- Optimal testing frequency is highly sensitive to transmission parameters.
- Key factors include vaccine efficacy, disease transmission rate, test accuracy, and vaccination coverage.
- Testing frequency must be tailored to specific epidemiological contexts.
Conclusions:
- A one-size-fits-all testing frequency is not suitable.
- Testing strategies should be dynamically adjusted based on real-time data and disease parameters.
- Informed testing protocols are vital for effective COVID-19 control.
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