#31 · Systems biology
Temporal scale, noise and predictability shape mosquito-borne outbreak structure
The dominant thread is that outbreak structure in urban mosquito-borne systems is not captured by R0 alone. A pairwise interaction-kernel model of dengue, Zika and chikungunya spread in Recife reports that the three diseases differ only beyond a critical temporal scale, making transmission signatures scale dependent. A stochastic Ross-Macdonald analysis finds that noise lowers endemic risk, yields the largest outbreaks at intermediate noise levels, and shows that R0 alone cannot predict outbreaks. A spectral-entropy forecastability study of influenza and COVID-19 hospital admission targets, which is not vector-borne, similarly finds that predictability varies across seasons and pathogens, linked to population size. What is new is the joint treatment of temporal scale, stochasticity and predictability as explicit determinants of outbreak structure.
Published papers
Nonlinear effects of noise on outbreaks of mosquito-borne diseases.
Stochastic Ross-Macdonald model: noise lowers endemic risk, largest outbreaks at intermediate noise; R0 alone cannot predict outbreaks.
Forecastability of infectious disease time series: are some seasons and pathogens intrinsically more difficult to forecast?
Uses a spectral-entropy forecastability metric to show that influenza and COVID-19 hospital admission targets vary in predictability, linked to population size…
Preprints
Scale-dependent Temporal Signatures of Arboviral Transmission in Urban Environments
Pairwise interaction-kernel model of dengue, Zika and chikungunya spread in Recife; diseases differ only beyond a critical temporal scale.
Topic history
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