Disease Prevention versus Data Privacy: Using Landcover Maps to Inform Spatial Epidemic Models

@inproceedings{Tildesley2012DiseasePV,
  title={Disease Prevention versus Data Privacy: Using Landcover Maps to Inform Spatial Epidemic Models},
  author={Michael J. Tildesley and Sadie Jane Ryan},
  booktitle={PLoS Computational Biology},
  year={2012}
}
The availability of epidemiological data in the early stages of an outbreak of an infectious disease is vital for modelers to make accurate predictions regarding the likely spread of disease and preferred intervention strategies. However, in some countries, the necessary demographic data are only available at an aggregate scale. We investigated the ability of models of livestock infectious diseases to predict epidemic spread and obtain optimal control policies in the event of imperfect… CONTINUE READING
24
Twitter Mentions

Citations

Publications citing this paper.
SHOWING 1-9 OF 9 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 26 REFERENCES

Impact of spatial clustering on disease transmission and optimal control.

VIEW 5 EXCERPTS

Statistical modeling of holding level susceptibility to infection during the 2001 foot and mouth disease epidemic in Great Britain.

The role of pre-emptive culling in the control of foot-and-mouth disease

VIEW 3 EXCERPTS

Spatio-temporal point processes, partial likelihood, foot and mouth disease

  • Peter J Diggle
  • Computer Science, Medicine
  • Statistical methods in medical research
  • 2006