Mobile Application with Artificial Intelligence Chatbots for Dengue Information and Management

Dengue fever has intensified in recent years, affecting millions, with an estimated 100 to 400 million people yearly; approximately 80% of these cases have been reported in the Americas. This develops a prototype of a mobile application that includes artificial intelligence (AI) chatbots for dengue management and information. The design thinking methodology was applied, which was useful due to its focus on user needs, allowing the identification of key problems in dengue management and the design of innovative and functional solutions. The results were validated by experts using criteria such as technology, innovation, and feasibility with an average score of 4.26 and users using criteria such as functionality, usability, and accessibility with an average score of 4.28, showing a high level of acceptance. This tool has the potential to improve early disease detection, facilitating data collection and real-time interaction with patients. Through the use of AI, the application aims to optimize case management, reduce serious complications, and support health systems in at-risk areas.

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Publication Details

Journal
International Journal of Interactive Mobile Technologies (iJIM)
Published
2025-01-27
DOI
https://doi.org/10.3991/ijim.v19i02.52801
Citations
1
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
2.28
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article

Mobile Application with Artificial Intelligence Chatbots for Dengue Information and Management

José Luis Herrera Salazar, Rosa Menéndez Mueras, Esteban Julio Medina Rafaile
1 citations
International Journal of Interactive Mobile Technologies (iJIM)
FinTech, Crowdfunding, Digital Finance
2.28
article

Mobile Application with Artificial Intelligence Chatbots for Dengue Information and Management

José Luis Herrera Salazar, Rosa Menéndez Mueras, Esteban Julio Medina Rafaile
article en
1 citations

Abstract

Dengue fever has intensified in recent years, affecting millions, with an estimated 100 to 400 million people yearly; approximately 80% of these cases have been reported in the Americas. This develops a prototype of a mobile application that includes artificial intelligence (AI) chatbots for dengue management and information. The design thinking methodology was applied, which was useful due to its focus on user needs, allowing the identification of key problems in dengue management and the design of innovative and functional solutions. The results were validated by experts using criteria such as technology, innovation, and feasibility with an average score of 4.26 and users using criteria such as functionality, usability, and accessibility with an average score of 4.28, showing a high level of acceptance. This tool has the potential to improve early disease detection, facilitating data collection and real-time interaction with patients. Through the use of AI, the application aims to optimize case management, reduce serious complications, and support health systems in at-risk areas.

International Journal of Interactive Mobile Technologies (iJIM)Vol. 19(02)
National Autonomous University of Nicaragua (NI), Universidad Nacional Santiago Antúnez de Mayolo (PE), Universidad Tecnológica del Perú (PE)
Openalex Percentile: Top 15%
FinTech, Crowdfunding, Digital Finance
2.28
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Mobile Application with Artificial Intelligence Chatbots for Dengue Information and Management — José Luis Herrera Salazar, Rosa Menéndez Mueras, et al. · International Journal of Interactive Mobile Technologies (iJIM) (2025) | TGRS Research Map | TGRS