Litterature References

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  2. Garner and Hamilton, Principles of epidemiological modelling. Rec. Sci. Tech. 2011
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  4. Groendyke et al. Bayesian Inference for Contact Networks Given Epidemic Data Scand. J. Stat. 2011
  5. Held et al. Probabilistic forecasting in infectious disease epidemiology: the 13th Armitage lecture Stat. Med. 2017
  6. Iyaniwura et al., Mathematical modeling of COVID-19 in British Columbia: an age-structured model with time-dependent contact rates medRxix. 2021
  7. Lernout et al. The value of seroprevalence data as surveillance tool for Lyme borreliosis in the general population: the experience of Belgium BMC Public Health. 2019
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  9. Volz and Meyers. Epidemic thresholds in dynamic contact networks J. R. Soc. Interface 2009