The Dengue Hemorrhagic Fever Modeling in Banyumas Regency by Using CAR-BYM, Generalized Poisson, and Negative Binomial
- https://doi.org/10.2991/apr.k.220503.007How to use a DOI?
- relative risk; disease mapping; CAR-BYM; generalized Poisson; negative binomial
The research studied disease mapping of dengue haemorrhagic fever (DHF) in Banyumas Regency. The generalized Poisson (GP), negative binomial (NB), and CAR-BYM models are then used to modelling the DHF. The predictor variables used in this research are the number of health worker, altitude, and population density. We choose the best model for further analysis and estimate relative risk. The criteria for choosing the best model is root mean square error (RMSE). The result showed that the CAR-BYM is the best model. This is due to the RMSE of CAR-BYS is the lowest (1.65) among others (GP = 3.17 and NB=3.25). Here, we also presented several analysis of the region case, such as Kembaran District is the highest of DFH. The West Purwokerto is the highest relative risk value. This mean that transmission DHF in West Purwokerto district is highest. We also found that the lowest relative risk value is Gumelar. This mean that transmission DHF in Gumelar district is the lowest.
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Jajang Jajang AU - Budi Pratikno AU - Mashuri Mashuri AU - Indriani Eko Cahyarini PY - 2022 DA - 2022/05/25 TI - The Dengue Hemorrhagic Fever Modeling in Banyumas Regency by Using CAR-BYM, Generalized Poisson, and Negative Binomial BT - Proceedings of the Soedirman International Conference on Mathematics and Applied Sciences (SICOMAS 2021) PB - Atlantis Press SP - 31 EP - 36 SN - 2352-541X UR - https://doi.org/10.2991/apr.k.220503.007 DO - https://doi.org/10.2991/apr.k.220503.007 ID - Jajang2022 ER -