%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Elie, B.
%A Selinger, Christian
%A Alizon, S.
%T The source of individual heterogeneity shapes infectious disease outbreaks
%D 2022
%L fdi:010085094
%G ENG
%J Proceedings of the Royal Society B : Biological Sciences
%@ 0962-8452
%K epidemiology ; modelling ; infection duration ; superspreading ; evolutionary rescue ; emerging infectious diseases
%M ISI:000793420100006
%N 1974
%P 20220232 [8 ]
%R 10.1098/rspb.2022.0232
%U https://www.documentation.ird.fr/hor/fdi:010085094
%> https://www.documentation.ird.fr/intranet/publi/2022-06/010085094.pdf
%V 289
%W Horizon (IRD)
%X There is known heterogeneity between individuals in infectious disease transmission patterns. The source of this heterogeneity is thought to affect epidemiological dynamics but studies tend not to control for the overall heterogeneity in the number of secondary cases caused by an infection. To explore the role of individual variation in infection duration and transmission rate in parasite emergence and spread, while controlling for this potential bias, we simulate stochastic outbreaks with and without parasite evolution. As expected, heterogeneity in the number of secondary cases decreases the probability of outbreak emergence. Furthermore, for epidemics that do emerge, assuming more realistic infection duration distributions leads to faster outbreaks and higher epidemic peaks. When parasites require adaptive mutations to cause large epidemics, the impact of heterogeneity depends on the underlying evolutionary model. If emergence relies on within-host evolution, decreasing the infection duration variance decreases the probability of emergence. These results underline the importance of accounting for realistic distributions of transmission rates to anticipate the effect of individual heterogeneity on epidemiological dynamics.
%$ 050 ; 020