arXiv:2511.16802v1 Announce Type: new
Abstract: We study a model for a mosquito-borne epidemic outbreak in which humans can adopt protective behaviour against vector bites depending on information on the past and present prevalence. Assuming that mosquitoes can also feed on other non-competent hosts (i.e. hosts that cannot infect others), we first review some results from the literature by showing that protective behaviour may either decrease or increase the value of the reproduction number of the epidemic depending on multiple elements. Then, assuming that changes in opinion occur much faster than the spread of the disease, we exploit an approach based on the Geometric Singular Perturbation Theory to reduce the two-group model to a model for a homogeneous host population. Then, we use the resulting model to investigate the effect of information-induced behavioural changes on the transient dynamics of the epidemic, discussing the case when protective measures induced an outbreak with a low attack rate. We illustrate how behavioural changes might either help in containing an epidemic outbreak or make the epidemic last longer, even triggering recurrent damped epidemic waves. We conclude with numerical simulations to illustrate our analytical results.
Sex and age estimation from cardiac signals captured via radar using data augmentation and deep learning: a privacy concern
IntroductionElectrocardiograms (ECGs) have long served as the standard method for cardiac monitoring. While ECGs are highly accurate and widely validated, they require direct skin contact,