Is climate a primary driver of Vietnam's dengue or a shared long-term trend? A five-method analysis over 36 years
Nguyen, D. N.; Hai, S. V.; Trauer, J. M.; Taylor-Robinson, A. W.; Nguyen, T. H.; Thi, N. V.; Bui, L. V.
Show abstract
BackgroundVietnams reported dengue burden has risen roughly five-fold since 1990. Multi-decadal studies linking climate indices to dengue rarely separate genuine year-to-year coupling from a long-term trend the two share. MethodsWe assembled a provenance-preserving national annual dengue series (1990-2025; OpenDengue plus Ministry of Health figures) and correlated it with annual and March-May means of eight tropical sea surface temperature (SST) indices at lags of zero and one year under five trend-correction lenses: raw, linear detrending, first-differencing, socio-demographic-index residualisation and AR(1) prewhitening. FindingsCases rose 3{middle dot}5 percent annually. Seven predictors were significant at zero lag, led by the annual Indian Ocean Basin-Wide index (IOBW; Spearman +0{middle dot}534), but linear detrending removed all. First-differencing preserved six, led by spring IOBW (+0{middle dot}468), the annual Atlantic Multidecadal Oscillation (AMO; +0{middle dot}462) and annual IOBW (+0{middle dot}423); three survived AR(1) prewhitening - annual AMO and annual and spring IOBW. Spring AMO and a lag-1 Tropical North Atlantic signal (-0{middle dot}452) did not, and are hypothesis-generating. El Nino-Southern Oscillation indices failed throughout. InterpretationMost of the apparent association reflects a trend shared by warming oceans and expanding surveillance; we could not demonstrate that climate is the primary driver at this scale. Trend is not the whole story: IOBW and annual AMO persist under trend- and persistence-removing transformations. Because transmission responds to climate over weeks to months, annual averaging smooths the lags through which El Nino acts; these nulls reflect temporal scale, not climate insensitivity; usable predictors will require monthly, province-level models. FundingCenter for Environmental Intelligence, VinUniversity (project VUNI.CEI.FS_0001). Research in contextO_ST_ABSEvidence before this studyC_ST_ABSWe searched PubMed, Web of Science and Google Scholar for studies published up to May 2026 linking large-scale climate indices or sea surface temperature to dengue incidence, combining dengue, climate, sea surface temperature, ENSO, teleconnection and time-series terms with Vietnam, without language restriction. Many studies covering two or more decades reported strong correlations between basin-scale indices and national dengue counts. Most, however, relied on raw correlations or a single detrending choice, and rarely tested whether an apparent association reflected genuine year-to-year coupling or merely a shared long-term trend. Added value of this studyMost long-term studies remove the shared upward trend in only one way, or not at all. To our knowledge this is the first study to compare five trend-correction methods on a multi-decadal national dengue record and to read their agreement or disagreement as a diagnostic of which climate signals are real. A signal that appears only before the trend is removed is probably following it; one that persists is more likely real. Applied to a record spanning more than three decades, this comparison separates the two: several widely reported raw correlations weakened once the shared trend was accounted for. Implications of all the available evidenceClimate-informed analyses of multi-decadal data should report at least two trend-correction approaches alongside the raw correlation and treat their disagreement as evidence about where a signal sits, rather than operationalising raw long-span correlations. For Vietnam, the apparent national-scale association is dominated by a shared long-term trend but retains a smaller, robust inter-annual component led by the Indian Ocean and AMO signals; genuine coupling is more likely detectable at monthly resolution and provincial scale, where statistical power and physical mechanism are jointly available. Surveillance systems should retain explicit source provenance, so trend-corrected re-analysis remains possible as records grow.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Spatial Patterns of Dengue Incidence in Nepal During Record Outbreaks in 2022 and 2023: Implications for Public Health Interventions 92%
- Spatiotemporal tools for emerging and endemic disease hotspots in small areas--an analysis of dengue and chikungunya in Barbados, 2013 - 2016 91%
- Exploring the mosquito-arbovirus network: a survey of vector competence experiments 90%
Similar papers in this journal
- Increasing transmission of dengue virus across ecologically diverse regions of Ecuador and associated risk factors 92%
- Detecting space-time clusters of dengue fever in Panama after adjusting for vector surveillance data 91%
- Co-developing climate services for public health: stakeholder needs and perceptions for the prevention and control of Aedes-transmitted diseases in the Caribbean. 91%
Similar papers in this journal
- An in-depth statistical analysis of the COVID-19 pandemic’s initial spread in the WHO African region 90%
- Excess mortality during the COVID-19 pandemic in Aden governorate, Yemen: a geospatial and statistical analysis 89%
- Spatial and epidemiological drivers of P. falciparum malaria among adults in the Democratic Republic of the Congo 88%
Similar papers in this journal
- Mosquito exposure and malaria morbidity; a micro-level analysis of household mosquito populations and malaria in a population-based longitudinal cohort in western Kenya 89%
- Results of a nationally representative seroprevalence survey of chikungunya virus in Bangladesh 89%
- Genetic evidence of cross-border Plasmodium vivax spread in a malaria pre-elimination region of South Asia 89%
Similar papers in this journal
- Trends and Cross-Country Inequalities in Dengue, 1990-2021 90%
- The last frontier for global Non-Communicable Disease action: the Emergency Department - a cross-sectional study from East Africa 90%
- Patterns of Aedes aegypti immature ecology and arboviral epidemic risks in peri-urban and intra-urban villages of Cocody-Bingerville, Cote d'Ivoire: insights from a dengue outbreak 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.