A spatiotemporal analysis of dengue hemorrhagic fever in Banyumas, Indonesia

Abstract

Dengue hemorrhagic fever (DHF) is a public health problem in the world and also in Indonesia. One of the districts in Central Java that is still having problems with this disease is Banyumas, Indonesia. The incidence rate (IR) data in 2018 was 2.75 per 100,000 populations and the case fatality rate (CFR) was 3.64%. Spatiotemporal analysis was used to determine local variation, geographic determination of risk zones, and measurement of disease control interventions. Therefore, this study aimed to determine the distribution and grouping of dengue cases based on the spatiotemporal analysis. The design was observational with a cross-sectional spatial analysis. This study was conducted in Banyumas, Indonesia with the analysis unit for dengue fever patients in 2018 using as many as 57 cases. Furthermore, the data analysis used includes overlay, buffering, and clustering with SaTScan and ArcGis software. The results showed that there was a clustering of dengue cases in Banyumas, with one primary and three secondary clusters detected. The primary cluster occurred in March-April 2018, involving four sub-districts in urban areas. It was then concluded that the significantly identified clusters indicate a transmission of dengue fever in the Banyumas area with a radius of three kilometers.

Dengue hemorrhagic fever vulnerability assessment in Gorontalo Regency using analytic hierarchy process and geoinformation techniques

“…Using AHP to combine different variables, the overall model of DHF vulnerability in Gorontalo Regency reveals that the vulnerability area is primarily confined to places with high population density, which is consistent with the findings of the previous study. This finding is consistent with the findings of several studies, which found that DHF risk cases increased in areas with a high population density [1], [28]- [30]. The higher the population of an area will be the greater the potential for female mosquitoes to fly and bite between humans and each other.…”

“…Step 3: Establish Priority amongst criteria using pairwise comparison Step 4: Check consistency ratio (CR) using (1) Step 5: Get the relative weights…”

“…Dengue hemorrhagic fever (DHF) is a viral infection spread by mosquitos that has spread fast across all world health organization (WHO) areas in recent years, particularly in tropical and subtropical climates. [1]. Dengue virus is transmitted to people via female mosquito bites, predominantly Aedes aegypti and to a lesser extent, Aedes albopictus.…”

“…DHF will continue to strike Brazil, the Cook Islands, Colombia, Fiji, Kenya, Paraguay, Peru, and Reunion Island in 2021. The geographical information systems (GIS) for health applications is quickly becoming one of the most essential tools for detecting spatial correlations, and it is being utilised by an increasing number of researchers throughout the world [1], [5]- [12]. In dealing with the DHF disaster that occurs, it can not only be solved with preventive measures such as draining, closing and burying, which has been carried out and socialized by governments, but also requires mitigation actions.…”

Infectious Disease Relational Data Analysis Using String Grammar Non-Euclidean Relational Fuzzy C-Means

“…Some studies model and analyze the development of diseases [1][2][3][4]. Another type of study in infectious diseases is epidemiology, i.e., the study of the frequency of disease and how the frequency differs across groups of people [5][6][7][8][9][10][11][12]. One of the considerations of epidemiology is to look at the relationships inside the data itself.…”