Evidence map›Paper›PMID 41480159›Full record

ArticleNew microbes and new infections2026

Dengue and malaria mortality in Ecuador: A population analysis of hospital deaths across 24 provinces, 2015-2023.

Jaime David Acosta-España, Matheo Morales-Gualotuña, Julián Pazmiño-Villaseñor, Ivan Dueñas-Espín

Abstract read
In one paragraph

Article in New microbes and new infections, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jaime David Acosta-EspañaHealth Sciences Faculty, Universidad Internacional SEK (UISEK), Quito, 170120, Ecuador.
Matheo Morales-GualotuñaGrupo Inequidades y Determinantes Ecológicos y Ambientales en Salud, Instituto de Salud Pública, Facultad de Salud y Bienestar, Pontificia Universidad Católica del Ecuador, Quito, Ecuador.
Julián Pazmiño-VillaseñorGrupo Inequidades y Determinantes Ecológicos y Ambientales en Salud, Instituto de Salud Pública, Facultad de Salud y Bienestar, Pontificia Universidad Católica del Ecuador, Quito, Ecuador.
Ivan Dueñas-EspínGrupo Inequidades y Determinantes Ecológicos y Ambientales en Salud, Instituto de Salud Pública, Facultad de Salud y Bienestar, Pontificia Universidad Católica del Ecuador, Quito, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dengue and malaria remain critical vector-borne threats in Latin America, yet mortality surveillance at subnational levels is sparse. Ecuador, a country with diverse ecological zones and shifting transmission dynamics, lacks standardized hospital-based mortality indicators to guide targeted interventions. Objective: To analyze age-standardized hospital mortality rates for dengue and malaria across Ecuador's 24 provinces from 2015 to 2023, identifying geographic disparities, temporal trends, and surveillance gaps. Methods: We conducted a cross-sectional ecological study using anonymized hospital discharge data from the National Institute of Statistics and Censuses (INEC). Fatal dengue and malaria cases were identified using ICD-10 codes and stratified by year, age groups, and province. Standardized mortality rates per million inhabitants were calculated using population projections, and geographic and temporal patterns were visualized through heat maps and time-series plots. Results: Dengue accounted for 125 hospital deaths, with mortality concentrated in Amazonian and coastal provinces. Malaria, though markedly less frequent, resulted in five adult deaths (3 in 2019, 1 in 2021, and 1 in 2023), with Conclusion: Hospital-based mortality data expose critical gaps in Ecuador's arboviral and

Indexed as

DengueEcuadorEpidemiologyHospitalizationMalariaMortalityVector-borne diseases

Identifiers

PMID41480159
PMCPMC12754392

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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.