# Analysis of dengue fever risk using geostatistics model in bone regency
> Amran

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85017646251
Jurnal / Konferensi: Aip Conference Proceedings
Tahun terbit: 2017
DOI: https://doi.org/10.1063/1.4978971
ISSN: 0094243X
Citations: 25

## Authors
- Amran

## Abstract
This research aim is to analysis of dengue fever risk based on Geostatistics model in Bone Regency. Risk levels of dengue fever are denoted by parameter of Binomial distribution. Effect of temperature, rainfalls, elevation, and larvae abundance are investigated through Geostatistics model. Bayesian hierarchical method is used in estimation process. Using dengue fever data in eleven locations this research shows that temperature and rainfall have significant effect of dengue fever risk in Bone regency.

## Keywords
- Dengue fever
- Geostatistics
- Negative binomial distribution
- Bayesian probability
- Variogram
- Statistics
- Medicine
- Mathematics
- Virology
- Kriging
- Poisson distribution
- Spatial variability

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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