Spatial model of Dengue Hemorrhagic Fever (DHF) risk: scoping review

Abstract

Background Creating a spatial model of dengue fever risk is challenging duet to many interrelated factors that could affect dengue. Therefore, it is crucial to understand how these critical factors interact and to create reliable predictive models that can be used to mitigate and control the spread of dengue. Methods This scoping review aims to provide a comprehensive overview of the important predictors, and spatial modelling tools capable of producing Dengue Haemorrhagic Fever (DHF) risk maps. We conducted a methodical exploration utilizing diverse sources, i.e., PubMed, Scopus, Science Direct, and Google Scholar. The following data were extracted from articles published between January 2011 to August 2022: country, region, administrative level, type of scale, spatial model, dengue data use, and categories of predictors. Applying the eligibility criteria, 45 out of 1,349 articles were selected. Results A variety of models and techniques were used to identify DHF risk areas with an arrangement of various multiple-criteria decision-making, statistical, and machine learning technique. We found that there was no pattern of predictor use associated with particular approaches. Instead, a wide range of predictors was used to create the DHF risk maps. These predictors may include climatology factors (e.g., temperature, rainfall, humidity), epidemiological factors (population, demographics, socio-economic, previous DHF cases), environmental factors (land-use, elevation), and relevant factors. Conclusions DHF risk spatial models are useful tools for detecting high-risk locations and driving proactive public health initiatives. Relying on geographical and environmental elements, these models ignored the impact of human behaviour and social dynamics. To improve the prediction accuracy, there is a need for a more comprehensive approach to understand DHF transmission dynamics.

The need for active and integrated involvement of the community and health professionals in the prevention and control of dengue hemorrhagic fever in Indonesia

“…In Indonesia, dengue hemorrhagic fever (DHF) is still a public health problem today [ 1 ], so of course strategic efforts are needed to solve it, and the best solution strategy is through programs that actively involve all parties, both health professionals and the community itself [ 2 ]. However, until now, the integration of various parties in preventing and controlling DHF has not worked well.…”

Mapping dengue vulnerability: spatial cluster analysis reveals patterns in Central Java, Indonesia

“…The landscape of Dengue Fever research encompasses a diverse array of methodologies and findings, offering valuable insights into the multifaceted nature of disease vulnerability and spatial analysis [8]. Extensively reviewed cluster analysis techniques, particularly utilizing the K-Means methodology [9].…”