Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia

Research Article

Spatial Pattern Analysis of Dengue Fever using Conditional Autoregressive in Makassar City, Indonesia

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  • @INPROCEEDINGS{10.4108/eai.2-8-2019.2290482,
        author={Sri Astuti  Thamrin and Siswanto  Siswanto and Ansariadi  Ansariadi and Andi Kresna  Jaya},
        title={Spatial Pattern Analysis of Dengue Fever using Conditional Autoregressive in Makassar City, Indonesia},
        proceedings={Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia},
        publisher={EAI},
        proceedings_a={ICSA},
        year={2020},
        month={1},
        keywords={conditional autoregressive dengue fever moran‘s index socio-economic spatial pattern spatial autocorrelation},
        doi={10.4108/eai.2-8-2019.2290482}
    }
    
  • Sri Astuti Thamrin
    Siswanto Siswanto
    Ansariadi Ansariadi
    Andi Kresna Jaya
    Year: 2020
    Spatial Pattern Analysis of Dengue Fever using Conditional Autoregressive in Makassar City, Indonesia
    ICSA
    EAI
    DOI: 10.4108/eai.2-8-2019.2290482
Sri Astuti Thamrin1,*, Siswanto Siswanto1, Ansariadi Ansariadi2, Andi Kresna Jaya3
  • 1: Department of Statistics,Hasanuddin University, Makassar, 90245
  • 2: Department of Epidemiology, Hasanuddin University, Makassar, 90245
  • 3: Department of Statistics, Hasanuddin University, Makassar, 90245
*Contact email: tuti@unhas.ac.id

Abstract

Makassar is one of the big cities in South Sulawesi Province which has a high incidence of dengue fever (DF). The number of DF incidence cannot be reduced effectively, even though various efforts have been made. The aim of this study is to analyse the factors that influence the spread of DF incidence using the Conditional Autoregressive (CAR) method. The spatial analysis of DF incidenceis also done using Moran‘sIndex. In addition, a map of the spread of DF incidence is made based on the relating factors. This study used the number of DF incidence in Makassar city in the period 2012-2017. The results show that the number of population and socio-economic conditions as malnutrition families describes substantially the spread of DF incidence in Makassar city during the period of 2012-2017. The DF distribution has positive spatial autocorrelations from 2012-2017. The pattern of the spread of DF incidenceis clustered. Some sub-districts included in the category prone to the spread of DF incidence are Manggala, Rappocini, Tallo and Biringkanaya. For this reason, it is recommended that the health office of Makassar city should implement the regional-based disease management to eradicate and prevent the occurrence of DF incidence.