论文信息 - Filtering and Mapping Public Health Data with an Innovative Kriging Approach, Accounting for Single Observation Variance

Filtering and Mapping Public Health Data with an Innovative Kriging Approach, Accounting for Single Observation Variance

The main scope of the paper is performing appropriate kriging interpolation of the diabetes prevalence data coming from the Pavia (Italy) Local Health Care Agency (ASL). The original dataset is analyzed, the Bayesian regularization is evaluated, which is applied by other authors and finally prevalence data are simulated by means of random fields, in order to tune and evaluate kriging interpolation.

Riccardo Bellazzi | Vittorio Casella | Ambrogio Manzino | Marica Franzini

[1] Olaf Berke,et al. Exploratory disease mapping: kriging the spatial risk function from regional count data , 2004 .

[2] M Martuzzi,et al. Empirical Bayes estimation of small area prevalence of non-rare conditions. , 1996, Statistics in medicine.

[3] R. Marshall. Mapping disease and mortality rates using empirical Bayes estimators. , 1991, Journal of the Royal Statistical Society. Series C, Applied statistics.