Evidence map›Paper›PMID 41625565›Full record

ArticleIJID regions2026

Impact of a digital game-based intervention on dengue knowledge and prevention in students from an endemic region of Peru.

Kiara Lijarza-Ushiñahua, Kovy Arteaga-Livias, Vicky Panduro-Correa, Sofia E Romero, Isabel Colan-Rojas, Lysien Zambrano, Alfonso J Rodriguez-Morales

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Kiara Lijarza-UshiñahuaFacultad de Medicina, Universidad Nacional Hermilio Valdizán, Huánuco, Peru.
Kovy Arteaga-LiviasFacultad de Ciencias de la Salud, Universidad de Huánuco, Huánuco, Peru.
Vicky Panduro-CorreaFacultad de Medicina, Universidad Nacional Hermilio Valdizán, Huánuco, Peru.
Sofia E RomeroFacultad de Medicina, Universidad Nacional Mayor de San Marcos, Lima, Peru.
Isabel Colan-RojasUniversidad Politécnica del Perú, Lima, Peru.
Lysien ZambranoDepartment of Morphological Sciences, School of Medical, Sciences, Universidad Nacional Autónoma de Honduras, Tegucigalpa, Honduras.
Alfonso J Rodriguez-MoralesFaculty of Health Sciences, Universidad Cientifica del Sur, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Dengue is a public health problem that requires a comprehensive approach to reduce its incidence in endemic areas. Playful learning, particularly through low-cost educational video games, could be an effective tool for adoption of knowledge and preventive practices in resource-limited settings. Therefore, this study aimed to assess the impact of an educational video game on the level of knowledge and preventive practices against dengue in schoolchildren in Ucayali, Peru. Methods: A quasi-experimental, prospective, and longitudinal study was conducted to evaluate the effectiveness of an educational video game on the level of knowledge and preventive practices against dengue. Participants played the video game for four sessions, one per week. Subsequently, a post-test was performed to compare the results. Results: Overall, 51% of the population was female, and 43% had a history of previous dengue infection-a statistically significant increase in knowledge and preventive practices after the intervention was found. Conclusions: Educational video games are effective tools for improving knowledge and preventive practices in public health, specifically in the prevention of dengue.

Indexed as

DengueKnowledge levelPreventive practicesVideo game

Identifiers

PMID41625565
PMCPMC12857403

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LicenceCC BY-NC-ND
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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.