Bulletin of Mathematical Biology

, Volume 75, Issue 10, pp 1747–1777

Approximating Optimal Controls for Networks when There Are Combinations of Population-Level and Targeted Measures Available: Chlamydia Infection as a Case-Study

Original Article

DOI: 10.1007/s11538-013-9867-9

Cite this article as:
Clarke, J., White, K.A.J. & Turner, K. Bull Math Biol (2013) 75: 1747. doi:10.1007/s11538-013-9867-9


Using a modified one-dimensional model for the spread of an SIS disease on a network, we show that the behaviour of complex network simulations can be replicated with a simpler model. This model is then used to design optimal controls for use on the network, which would otherwise be unfeasible to obtain, resulting in information about how best to combine a population-level random intervention with one that is more targeted. This technique is used to minimise intervention costs over a short time interval with a target prevalence, and also to minimise prevalence with a specified budget. When applied to chlamydia, we find results consistent with previous work; that is maximising targeted control (contact tracing) is important to using resources effectively, while high-intensity bursts of population control (screening) are more effective than maintaining a high level of coverage.



Copyright information

© Society for Mathematical Biology 2013

Authors and Affiliations

  1. 1.Centre for Mathematical BiologyUniversity of BathBathUK
  2. 2.School of Social and Community MedicineUniversity of BristolBristolUK