Development of a Web System for Epidemiological Alert and Surveillance

The research project focuses on the development of a web-based system designed to improve epidemiological alert and surveillance. The main objective of the study is to determine the influence of the design of this system on the epidemiological alert and surveillance process. The methodology applied in this research is correlational in nature, using a quantitative approach. Through data analysis, we seek to establish relationships between key variables related to epidemiological surveillance. The main results of this project reveal that the developed system has the capacity to alert users about possible epidemiological outbreaks, providing information about their geolocation. This functionality enables more effective management of epidemiological surveillance, which in turn can contribute to the early identification and immediate control of epidemiological outbreaks.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/icacrs62842.2024.10841736
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
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article

Development of a Web System for Epidemiological Alert and Surveillance

Wilver Auccahuasi, Alicia Maria Villon-Coveñas
Data-Driven Disease Surveillance
article

Development of a Web System for Epidemiological Alert and Surveillance

Wilver Auccahuasi, Alicia Maria Villon-Coveñas
article en

Abstract

The research project focuses on the development of a web-based system designed to improve epidemiological alert and surveillance. The main objective of the study is to determine the influence of the design of this system on the epidemiological alert and surveillance process. The methodology applied in this research is correlational in nature, using a quantitative approach. Through data analysis, we seek to establish relationships between key variables related to epidemiological surveillance. The main results of this project reveal that the developed system has the capacity to alert users about possible epidemiological outbreaks, providing information about their geolocation. This functionality enables more effective management of epidemiological surveillance, which in turn can contribute to the early identification and immediate control of epidemiological outbreaks.

Universidad Científica del Sur (PE)
Good health and well-being
Openalex Percentile: Top 63%
Data-Driven Disease Surveillance
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