Evidence map›Paper›PMID 38818245›Full record

ArticleNew microbes and new infections

Analysis of inpatient data on dengue fever, malaria and leishmaniasis in Ecuador: A cross-sectional national study, 2015-2022.

Jaime David Acosta-España, Ivan Dueñas-Espín, David Francisco Grijalva Narvaez, Jenny Belén Altamirano-Jara, Ana María Gómez-Jaramillo, Alfonso J Rodriguez-Morales

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In one paragraph

Article in New microbes and new infections. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Jaime David Acosta-EspañaHealth Sciences Faculty, Universidad Internacional SEK (UISEK), Quito, 170120, Ecuador.
Ivan Dueñas-EspínInstituto de Salud Pública, Postgrado de Medicina Familiar y Comunitaria, Facultad de Medicina, Pontificia Universidad Católica del Ecuador, Quito, Ecuador.
David Francisco Grijalva NarvaezSchool of Economics, Pontificia Universidad Católica del Ecuador, Quito, Ecuador.
Jenny Belén Altamirano-JaraMedical Graduate of the Faculty of Medicine of the Evandro Chagas University Rio de Janeiro, Rio de Janeiro, Brazil.
Ana María Gómez-JaramilloPontifical Catholic University of Ecuador, Quito, Ecuador.
Alfonso J Rodriguez-MoralesMaster Program of Clinical Epidemiology and Biostatistics, School of Medicine, Universidad Científica del Sur, Lima, 4861, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite concerted efforts in South America, these diseases continue to pose a significant burden of morbidity and mortality in endemic regions. This study aimed to analyse hospital data and investigate the hospitalisation rates of dengue fever, leishmaniasis, and malaria in Ecuador between 2015 and 2022. Methods: Open-access databases from the National Institute of Statistics and Censuses of Ecuador between 2015 and 2022 were analysed. Data were filtered using specific terms for each disease (ICD-10), and descriptive statistics of geographical distributions were calculated using Microsoft Excel, Stata 14.2, and Rstudio. Results: Dengue had the highest burden, with 31,616 reported cases, followed by malaria (1,316) and leishmaniasis (283). From 2015 to 2022, the highest hospitalisation rate per 10 Conclusions: The results suggest that vector-borne disease control has failed in Ecuador. Unfortunately, there was no significant trend towards a decrease in dengue, malaria, and leishmaniasis in Ecuador during the years studied. This study highlights the need to optimise sustainable vector control programs and emphasises continuous monitoring of disease incidence and control measures.

Indexed as

DengueEcuadorEpidemiologyLeishmaniasisMalariaSouth America

Identifiers

PMID38818245
PMCPMC11137557

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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.