Semiparametric approach to point source modelling in epidemiology and criminology

Alexandre Rodrigues, Peter Diggle, Renato Assuncao

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


Summary: By treating the conditional approach that was suggested by Diggle and Rowlingson as a generalized additive model, we provide a semiparametric method for point process modelling with point source interventions. We illustrate the flexibility of this approach with two applications. The first is a reanalysis of an epidemiological case-control data set in which we compare the semiparametric fit with a previously reported parametric model. The second is an application to a complex intervention in the Brazilian city of Belo Horizonte, in which we show how the installation of 60 closed-circuit television cameras has changed the spatial distribution of crimes within an area of high criminal activity.

Original languageEnglish (US)
Pages (from-to)533-542
Number of pages10
JournalJournal of the Royal Statistical Society. Series C: Applied Statistics
Issue number3
StatePublished - May 2010
Externally publishedYes


  • Point process
  • Point source intervention
  • Spatial distribution

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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