The basic reproduction number as a predictor for epidemic outbreaks in temporal networks

Area of Science:

• Epidemiology
• Network Science
• Computational Biology

Background:

• The basic reproduction number (R0) is a key metric for epidemic severity.
• Traditionally, R0 deterministically predicts the final epidemic size (Ω).
• Temporal contact networks introduce dynamic interactions, potentially altering this relationship.

Purpose of the Study:

• To investigate the relationship between R0 and Ω on empirical temporal human contact networks.
• To identify network structure descriptors that weaken the R0-Ω predictability.
• To understand how temporal and topological network features influence epidemic spread.

Main Methods:

• Numerical simulations of disease spread on empirical temporal contact networks.
• Analysis of 31 network structure descriptors.
• Statistical analysis to correlate network features with the R0-Ω relationship.

Main Results:

• R0 does not always predict Ω on temporal networks.
• Network descriptors related to temporal dynamics and topology impact R0-Ω predictability.
• Specific temporal and topological features were identified as key influencers.

Conclusions:

• R0 is an imperfect predictor of epidemic size (Ω) in temporal contact network models.
• Network temporal and topological characteristics are crucial for accurate epidemic forecasting.
• Rethinking traditional epidemiological assumptions is necessary for dynamic contact networks.