Controlling COVID-19 Outbreaks with Financial Incentives

Area of Science:

• Epidemiology
• Mathematical Modeling
• Public Health Interventions

Background:

• Controlling infectious disease outbreaks, such as COVID-19, requires rapid identification and isolation of infected individuals.
• The susceptible-unidentified infected-confirmed (SUC) epidemic model offers a framework to analyze disease spread dynamics.
• Unidentified infected populations pose a significant risk for continued transmission.

Purpose of the Study:

• To evaluate the effectiveness of financial incentives as a public health strategy for controlling COVID-19.
• To predict the impact of financial incentives on epidemic duration and case numbers using the SUC model.
• To determine the relationship between incentive budget size and epidemic termination time.

Main Methods:

• Utilized the susceptible-unidentified infected-confirmed (SUC) epidemic model to simulate COVID-19 spread.
• Estimated key epidemiological parameters, including transmission rate and confirmation time, for South Korea.
• Modeled the effect of financial incentives by adjusting the proportion of identified infected individuals within the SUC framework.

Main Results:

• Financial incentives were shown to accelerate the termination of the COVID-19 epidemic.
• Increased incentive budgets correlated with shorter epidemic durations.
• The study quantified the impact of incentives on reducing both confirmed and unidentified infected cases.

Conclusions:

• Financial incentives represent a viable strategy for accelerating the end of infectious disease outbreaks like COVID-19.
• Implementing financial incentives can lead to significant reductions in overall costs associated with disease control, treatment, and economic recovery.
• Optimizing incentive allocation is crucial for maximizing epidemic control efficiency.