Evidence map›Paper›PMID 42774395›Full record

ArticleFrontiers in epidemiology2026

Local thermal anomalies and the altitudinal rise of dengue hospitalisation rates in Ecuador, 2011-2024: a national ecological study.

Jaime Angamarca-Iguago, Jaen Cagua-Ordoñez, Juan Marcos Parise-Vasco, Daniel Simancas-Racines

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Article in Frontiers in epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jaime Angamarca-IguagoCenter for Evidence Ecosystems, Implementation Science, and Decision-Making (CIDES), Facultad de Ciencias de la Salud y Bienestar Humano, Universidad Tecnológica Indoamérica, Ambato, Ecuador.
Jaen Cagua-OrdoñezCenter for Evidence Ecosystems, Implementation Science, and Decision-Making (CIDES), Facultad de Ciencias de la Salud y Bienestar Humano, Universidad Tecnológica Indoamérica, Ambato, Ecuador.
Juan Marcos Parise-VascoCenter for Evidence Ecosystems, Implementation Science, and Decision-Making (CIDES), Facultad de Ciencias de la Salud y Bienestar Humano, Universidad Tecnológica Indoamérica, Ambato, Ecuador.
Daniel Simancas-RacinesCenter for Evidence Ecosystems, Implementation Science, and Decision-Making (CIDES), Facultad de Ciencias de la Salud y Bienestar Humano, Universidad Tecnológica Indoamérica, Ambato, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dengue is expanding beyond its traditional lowland range as rising temperatures may enable Methods: We conducted a national ecological time-series analysis at the canton level using Ecuador's hospital discharge registry (INEC) for 2011-2024, the period with standardised canton coding, identifying dengue hospitalisations by ICD-10 codes A90, A91 and A97. Monthly land surface temperature, precipitation and vegetation index were derived from MODIS and GPM products. A distributed lag non-linear model estimated the temperature-hospitalisation association; a quasi-Poisson model restricted to Andean cantons (≥1500 m), with canton, calendar-month and year fixed effects, tested whether thermal anomalies above each canton's 2007-2015 baseline were associated with hospitalisation rates. Results: Among 74,601 dengue hospitalisations with a resolvable canton of residence (232 deaths; case fatality 0.31%), dengue was recorded in 68 cantons above 1500 m, including altitudes exceeding 3000 m. The national hospitalisation rate rose from 29.7 to 77.0 per 100,000 and the Andean rate approximately 7-fold (1.9 to 12.8). The minimum hospitalisation temperature was 18.4°C nationally and 18.9°C in Andean cantons. A +1°C anomaly versus zero was associated with a 1.07-fold increase in hospitalisation rates (95% CI 1.02-1.13; Discussion: Positive deviations from local historical baselines, rather than absolute temperature, were associated with rising dengue hospitalisation rates among Andean residents, by a modest margin that depends materially on the 2023-2024 epidemic. In-hospital case fatality was nearly twice as high in low Andean cantons (0.62%, 95% CI 0.20-1.45; five deaths) as on the coast (0.33%), a non-significant difference that nonetheless supports strengthening dengue recognition in highland facilities.

Indexed as

Aedes aegyptiAndesclimate changedenguedistributed lag non-linear modelEcuadortemperature anomalyvector-borne infections

Identifiers

PMID42774395
PMCPMC13593839

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