Mass Testing and Proactiveness Affect Epidemic Spreading.

Area of Science:

• Epidemiology
• Network Science
• Game Theory

Background:

• Disease management is complex, particularly with asymptomatic pathogens, as seen in the COVID-19 pandemic.
• Traditional Susceptible-Infected-Recovered-Deceased (SIRD) models and game-theoretic approaches often overlook the symptomatic/asymptomatic distinction.
• Precautionary measures like mask-wearing and social distancing are known to mitigate disease spread.

Purpose of the Study:

• To model epidemic spreading by treating precautionary behaviors as strategies and disease states (e.g., susceptible, infected) as states.
• To analyze the impact of symptomatic versus asymptomatic disease transmission across diverse network topologies.
• To investigate how factors like the cost of precautions and mass testing influence population-level proactive behavior.

Main Methods:

• Utilized extensive computer simulations to model disease dynamics on various network structures.
• Incorporated game-theoretic strategies for adopting precautionary measures.
• Analyzed the influence of asymptomatic transmission, network topology, and intervention costs on epidemic outcomes.

Main Results:

• The cost of maintaining precautions and the extent of mass testing significantly affect the proportion of proactive individuals.
• A lack of mass testing can precipitate a pandemic, especially for asymptomatic diseases.
• Network topology, initial infected/proactive fractions, and edge density critically influence epidemic spread and outcomes.

Conclusions:

• Findings align with COVID-19 pandemic lessons, emphasizing the importance of proactive measures and testing.
• Network structure plays a vital role in disease propagation dynamics.
• The interplay between individual behavior, public health interventions, and network characteristics determines pandemic severity.