A spatial shared component random intercept model for assessing risk of diarrhea among men and women
| Autor: | I G N M Jaya, Kismiantini |
|---|---|
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Journal of Physics: Conference Series. 1581:012018 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/1581/1/012018 |
| Popis: | Diarrhea becomes a severe problem for children under five years of age. A preventive action is needed to minimize the negative effect of diarrhea. Gender risk assessment may be necessary to control diarrhea transmission as different sexes have distinct healthy behaviour. We develop a collection of candidate models of Bayesian shared component random intercept models to identify a gender group’s spatial risk of diarrhea. The candidate models include Poisson-Inverse Gamma and Negative Binomial-Inverse Gamma models with different values hyperprior parameters. The results showed that the Negative-Inverse Gamma model performed better than the Poisson-Inverse Gamma with respect to the existence of overdispersion in the data. The spatial patterns of diarrhea for men and women were similar. In some sub-districts, however, it indicated that women at two different locations had a higher risk of diarrhea compared to men. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|