Estimation of force of infection based on different epidemiological proxies: 2009/2010 Influenza epidemic in Malta.

@article{Marmara2014EstimationOF,
  title={Estimation of force of infection based on different epidemiological proxies: 2009/2010 Influenza epidemic in Malta.},
  author={V Marmara and Alex R. Cook and Adam Kleczkowski},
  journal={Epidemics},
  year={2014},
  volume={9},
  pages={52-61}
}
Information about infectious disease outbreaks is often gathered indirectly, from doctor's reports and health board records. It also typically underestimates the actual number of cases, but the relationship between the observed proxies and the numbers that drive the diseases is complicated, nonlinear and potentially time- and state-dependent. We use a combination of data collection from the 2009-2010 H1N1 outbreak in Malta, compartmental modelling and Bayesian inference to explore the effect of… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 3 times over the past 90 days. VIEW TWEETS

From This Paper

Figures, tables, and topics from this paper.
3 Citations
34 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 34 references

H 1 N 1 influenza : a viral infection

  • R. Yaari, A. Huppert, U. Roll, L. Stone
  • Infect . Dis .
  • 2011

Similar Papers

Loading similar papers…