ArticleInsects2024
Spatiotemporal Characterization of Dengue Incidence and Its Correlation to Climate Parameters in Indonesia.
Article in Insects, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Sociodemographic and Structural Risk Factors for Dengue in a Rapidly Developing Indonesian District.International journal of environmental research and public health · 2026Article
- Two Decades of Dengue in Indonesia: Long-Term Trends in Incidence, Mortality, and Disability-Adjusted Life Years, 2005-2024.Pathogens (Basel, Switzerland) · 2026Article
- Rethinking the Kinetics of Extended WBC Differential Count and Inflammatory Index Marker in Secondary Dengue Infection: Case Report at University Hospital.International medical case reports journal · 2026Article
- A rare case: Spontaneous subdural hematoma in dengue hemorrhagic fever.Surgical neurology international · 2026Article
- Infectious Diseases in Children: Diagnosing the Impact of Climate Change-Related Disasters Using Integer-Valued Autoregressive Models with Overdispersion.Diseases (Basel, Switzerland) · 2025Article
- Resistance status ofNarra J · 2025Review
- The importance of paying attention to the role of lipid-lowering drugs in controlling dengue virus infection.Virology journal · 2024Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Dengue has become a public health concern in Indonesia since it was first found in 1968. This study aims to determine dengue hotspot areas and analyze the spatiotemporal distribution of dengue and its association with dominant climate parameters nationally. Monthly data for dengue and climate observations (i.e., rainfall, relative humidity, average, maximum, and minimum temperature) at the regency/city level were utilized. Dengue hotspot areas were determined through K-means clustering, while Singular Value Decomposition (SVD) determined dominant climate parameters and their spatiotemporal distribution. Results revealed four clusters: Cluster 1 comprised cities with medium to high Incidence Rates (IR) and high Case Densities (CD) in a narrow area. Cluster 2 has a high IR and low CD, and clusters 3 and 4 featured medium and low IR and CD, respectively. SVD analysis indicated that relative humidity and rainfall were the most influential parameters on IR across all clusters. Temporal fluctuations in the first mode of IR and climate parameters were clearly delineated. The spatial distribution of heterogeneous correlation between the first mode of rainfall and relative humidity to IR exhibited higher values, which were predominantly observed in Java, Bali, Nusa Tenggara, the eastern part of Sumatra, the southern part of Kalimantan, and several locations in Sulawesi.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.