Using the data of a population-based serosurvey, we have estimated aetiologic and population attributable fractions from the risk ratios associated with the different determinants of disease by various regression models (logistic, log-binomial, poisson). We have observed some discrepancies and similitudes between models that we wish to generalize using simulation methods. The reflexion come from the paper of Skov T published in the Int J Epidemiol 1998 and the work would consist in extending the simulations of risk ratios (odds ratios, proportion prevalence ratios, incidence risk ratios) to impact measures for guiding public health stakeholders to prioritize the measures aimed at mitigating future outbreaks of chikungunya.