Dengue transmission heterogeneity across Indonesia’s archipelago: Climate-driven spatiotemporal patterns and policy implications

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Authors: Bimandra A Djaafara, Iqbal R.F. Elyazar, Fadjar S.M. Silalahi, Asik Surya, Agus Handito, Burhannudin Thohir, Desfalina Aryani, Mushtofa Kamal, Aditya Lia Ramadona, Dyana Gunawan, Hipokrates, Anzala Khoirun Nisa
+7 more Edi Prianto, Iriani Samad, Agus Sugiarto, Kimberly Fornace, Hannah Clapham, Nuno R. Faria, Swapnil Mishra
Cited by: 3
References: 23

Abstract

Indonesia has the highest dengue burden in Southeast Asia, with 488 of 514 districts reporting cases annually across its 17,000-island archipelago. Despite this substantial burden, spatiotemporal transmission patterns remain poorly characterised. We analysed province-level dengue surveillance data (2010-2024) from Indonesia's Ministry of Health alongside local and regional climate variables to characterise heterogeneity in dengue periodicity and identify provinces where climate-based early warning may be feasible. Using wavelet phase analysis, dynamic time warping clustering, and distributed lag non-linear models, we examined relationships between climate and dengue incidence across 34 provinces. A systematic west-to-east gradient in dengue wave timing was identified, with Northern Sumatran provinces peaking earlier than other provinces, aligning with Australian-Asian monsoon progression. This gradient was robust in western Indonesia (Spearman ρ = 0.7 between longitude and phase lag) but weakened in eastern provinces. Multi-annual outbreak peaks (2015-2016, 2023-2024) coincided with strong El Niño events, with mean incidence during strong El Niño years was 96% higher than other years. The Indian Ocean Dipole showed no significant association. Phase coherence analysis identified 18 provinces where precipitation-dengue timing was sufficiently consistent (coherence ≥0.85) for potential early warning applications and DLNM confirmed significant dose-response associations in 11 of these. Indonesia's dengue-climate relationships exhibit structured heterogeneity that precludes uniform national prediction approaches but may enable province-specific early warning in high-coherence areas. A two-tier system combining ENSO monitoring for strategic preparedness with local climate monitoring for tactical intervention timing could improve outbreak response across Indonesia's diverse epidemiological landscapes.

Fields of Study & Subjects

Mosquito-borne diseases and control Malaria Research and Control Species Distribution and Climate Change

Publication details

Journal / source
PLoS neglected tropical diseases
Publisher
Public Library of Science (PLoS)
Volume
20
Issue
3
Pages
e0014135–e0014135
Publication date
17 March 2026
Language
EN