Semiparametric approach to point source modelling in epidemiology and criminology

Rodrigues, A and Diggle, PJ and Assuncao, R (2010) Semiparametric approach to point source modelling in epidemiology and criminology. Journal of the Royal Statistical Society - Series C: Applied Statistics, 59 (3). pp. 533-542. ISSN 0035-9254

Full text not available from this repository.


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.

Item Type: Article
Uncontrolled Keywords: Point process; point source intervention; spatial distribution
Subjects: 5. Quantitative Data Handling and Data Analysis > 5.9 Spatial Data Analysis
Depositing User: L-W-S user
Date Deposited: 21 Mar 2012 17:38
Last Modified: 14 Jul 2021 13:55
DOI: 10.1111/j.1467-9876.2009.00708.x

Actions (login required)

View Item
View Item