Agung Waskito
Universitas Diponegoro

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Multidimensional Drivers of Dengue Transmission in Kalimantan: Climate, Spatial, Entomological, Behavioral, and Socioeconomic Factors - A Systematic Literature Review Agung Waskito; Tri Joko; Mursid Mursid; Nurjazuli Nurjazuli
Jurnal Berkala Kesehatan Vol 11, No 2 (2025): JURNAL BERKALA KESEHATAN 1 (NOVEMBER - APRIL)
Publisher : Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jbk.v11i2.25576

Abstract

Dengue fever (DF) remains a significant public health problem in Kalimantan. Its transmission is influenced by the interaction of multiple factors, including climate, spatial conditions, entomological aspects, behavioral factors, and socioeconomic conditions. However, scientific evidence regarding these factors in Kalimantan remains limited and has not been comprehensively synthesized. This study aims to examine the climatic, spatial, entomological, behavioral, and socioeconomic drivers of dengue transmission in Kalimantan to inform future control strategies. This study employed a systematic literature review design following the PRISMA 2020 guidelines. A total of 7,410 articles published between 2016 and 2025 were identified from several databases, of which 7 articles met the inclusion criteria and were included in the final analysis. Data were analyzed using narrative synthesis by grouping key findings. The results show that DF incidence in Kalimantan is spatially heterogeneous and forms risk clusters associated with population density and settlement structure. Climatic factors, particularly temperature, humidity, and rainfall, influence seasonal patterns of DF, but do not fully explain variations in risk across regions. Evidence related to entomological and behavioral dimensions remains limited, despite their important role in modifying transmission risk. Socioeconomic factors are generally assessed using proxy indicators. DF in Kalimantan is a multidimensional phenomenon that requires an integrative and predictive research approach to support effective control strategies.