MUSIDH, multiple use of simulated demographic histories, a novel method to reduce computation time in microsimulation models of infectious diseases.

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TitleMUSIDH, multiple use of simulated demographic histories, a novel method to reduce computation time in microsimulation models of infectious diseases.
Publication TypeJournal Article
AuthorsFischer EAJ, De Vlas SJ, Richardus JH, Habbema JDF
Abbrev. JournalComput Methods Programs Biomed
JournalComputer methods and programs in biomedicine
Year of Publication2008
Volume91
Issue3
Pagination185-90
Publication Languageeng
KeywordsAlgorithms, Communicable Diseases, Computer Simulation, Computing Methodologies, Demography, Epidemiologic Measurements, Humans, Models, Biological
Abstract

Microsimulation of infectious diseases requires simulation of many life histories of interacting individuals. In particular, relatively rare infections such as leprosy need to be studied in very large populations. Computation time increases disproportionally with the size of the simulated population. We present a novel method, MUSIDH, an acronym for multiple use of simulated demographic histories, to reduce computation time. Demographic history refers to the processes of birth, death and all other demographic events that should be unrelated to the natural course of an infection, thus non-fatal infections. MUSIDH attaches a fixed number of infection histories to each demographic history, and these infection histories interact as if being the infection history of separate individuals. With two examples, mumps and leprosy, we show that the method can give a factor 50 reduction in computation time at the cost of a small loss in precision. The largest reductions are obtained for rare infections with complex demographic histories.

PubMed URL

http://www.ncbi.nlm.nih.gov/pubmed/18534713?dopt=Abstract

DOI10.1016/j.cmpb.2008.04.004

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