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Quantifying infectious disease epidemic risks: A practical approach for seasonal pathogens

Alexander R Kaye, Giorgio Guzzetta, Michael J Tildesley

For many infectious diseases, the risk of outbreaks varies seasonally. If a pathogen is usually absent from a host population, a key public health policy question is whether the pathogen��셲 arrival will initiate local transmission, which depends on the season in which arrival occurs. This question can be addressed by estimating the ��쐏robability of a major outbreak��� (the probability that introduced cases will initiate sustained local transmission). We have devised an approach for inferring outbreak risks for seasonal pathogens (involving calculating the Threshold Epidemic Risk; TER). Estimation of the TER involves calculating the probability that introduced cases will initiate a local outbreak in which a threshold number of cumulative infections is exceeded before outbreak extinction. For simple seasonal epidemic models, such as the stochastic Susceptible-Infectious-Removed model, the TER can be calculated numerically (without model simulations). For more complex models, such as stochastic host-vector models, the TER can be estimated using model simulations.

Mon 10 Mar 2025, 08:08 | Tags: Microbiology & Infectious Disease

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