ArticleTropical medicine and infectious disease2020
Effects of El Niño Southern Oscillation and Dipole Mode Index on Chikungunya Infection in Indonesia.
Article in Tropical medicine and infectious disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- ENSO Impact on Global Chikungunya Virus Transmission, 2008-2024: A Multi-Country Distributed-Lag Time-Series Analysis.Viruses · 2026Article
- Impact of El Nino Southern Oscillation and Climate Change on Infectious Diseases with Ophthalmic Manifestations.Tropical medicine and infectious disease · 2025Review
- Effects of El Niño and the Positive Indian Ocean Dipole (+IOD) on Health, Food Security, Economics, and Conflict in Low- and Middle-Income Countries in the Indo-Pacific: A Systematic Review.Campbell systematic reviews · 2025Review
- The impact of climate change on child nutrition in Indonesia: a conceptual framework and scoping review of the available evidence.BMJ paediatrics open · 2025Article
- Disentangling local and global climate drivers in the population dynamics of mosquito-borne infections.Science advances · 2023Article
- Association between socio-environmental factors, coverage by family health teams, and rainfall in the spatial distribution of Zika virus infection in the city of Rio de Janeiro, Brazil, in 2015 and 2016.BMC public health · 2021Article
- The correlation between three teleconnections and leptospirosis incidence in the Kandy District, Sri Lanka, 2004-2019.Tropical medicine and health · 2021Article
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Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to assess the possible association of El Niño Southern Oscillation (ENSO) and Dipole Mode Index (DMI) on chikungunya incidence overtime, including the significant reduction in cases that was observed in 2017 in Indonesia. Monthly nation-wide chikungunya case reports were obtained from the Indonesian National Disease Surveillance database, and incidence rates (IR) and case fatality rate (CFR) were calculated. Monthly data of Niño3.4 (indicator used to represent the ENSO) and DMI between 2011 and 2017 were also collected. Correlations between monthly IR and CFR and Niño3.4 and DMI were assessed using Spearman's rank correlation. We found that chikungunya case reports declined from 1972 cases in 2016 to 126 cases in 2017, a 92.6% reduction; the IR reduced from 0.67 to 0.05 cases per 100,000 population. No deaths associated with chikungunya have been recorded since its re-emergence in Indonesia in 2001. There was no significant correlation between monthly Niño3.4 and chikungunya incidence with
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