Spatial autocorrelation analysis of Dengue Hemorrhagic Fever (DHF) incidence in Jombang Regency in 2021
Department of Environmental Health, Faculty of Public Health, Airlangga University, Surabaya, Indonesia.
Research Article
World Journal of Advanced Research and Reviews, 2023, 19(01), 951–958
Article DOI: 10.30574/wjarr.2023.19.1.1452
Publication history:
Received on 09 June 2023; revised on 17 July 2023; accepted on 19 July 2023
Abstract:
Dengue hemorrhagic fever (DHF) is a disease caused by the Dengue virus transmitted from person to person through mosquito bites. This study aims to see whether there is a spatial autocorrelation of DHF incidence in Jombang district and if spatial patterns are formed. The population in this study consists of 21 sub-districts, which were determined using the total sampling method. Data analysis was conducted using the Global Moran's I Test and the Local Indicator of Spatial Autocorrelation (LISA) Test. The results show that there is no spatial autocorrelation of DHF incidence in Jombang Regency in 2021 (Z = 0.078). LISA analysis shows that Kudu sub-district is an outlier, which means it can affect the surrounding sub-district. The results also show that there is a spatial autocorrelation between the population density and DHF incidence (Z = 1.9815), with the clustered spatial pattern clustered. This means that sub-districts with a high population density are surrounded by sub-districts that have a high DHF incidence. Related parties, in this case Jombang Regency Health Office need to pay more attention to sub-districts that have high DHF incidence and are surrounded by sub-districts with low DHF incidence and need to pay attention to areas with high population density because dengue transmission is more likely to happen in areas with high population density.
Keywords:
Dengue; DHF; Population; Spatial Autocorrelation
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