Epidemiological Surveillance Innovative Applications for Community and Public Health: A Systematic Review

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Published: Mar 28, 2024
DOI: https://doi.org/10.47191/ijmscrs/v4-i03-32
Keywords:
Epidemiological surveillance, Artificial Intelligence (AI), Internet of Things (IoT) and Blockchain Technology

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Gabriela Patricia Guijarro Reinoso
Physician, Ministry of Health Ecuador, Specialist in Family and Community Medicine, ORCID: 0000-0002-7725-4514.
Humberto Daniel Paredes Haro
Physician, Ministry of Health Ecuador, Specialist Emergency Medicine, ORCID: 0000-0002-0649-9012.
Jorge Luis Alonso Madero
Physician, Universidad de Guayaquil, Master's Degree in Health promotion and Community health, ORCID: 0009-0003-6118-4886.
Lizeth Gabriela Orozco Escaleras
Physician, Universidad Tecnológica Equinoccial, ORCID: 0009-0003-9682-9496.
Maria Isabel Angulo Quinquiguano
Physician, Instituto Tecnológico Euroamericano, ORCID: 0009-0006-9432-0292.
Washington Javier Masapanta Pilatasig
Physician, Specialist Emergency Medicine, ORCID: 0009-0000-1109-7985.
Luis Fabricio Correa Auqui
Physician, Universidad Central del Ecuador, ORCID: 0000-0002-3783-2519.

Abstract

The paper explores the transformative impact of digital media on epidemiological surveillance. We are aiming to highlight innovative technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, and Wearable Devices role in collecting surveillance data. Through predictive modeling, image recognition, and Geographic Information Systems (GIS), the integration of digital tools has revolutionized disease detection, outbreak prediction, and resource allocation aiding in overall data surveillance system. Cases including Arogya Setu, BlueDot, and HealthMap illustrate the efficacy of AI-driven surveillance during the COVID-19 pandemic. Challenges persist, necessitating a holistic approach encompassing technological advancement, regulatory frameworks, and ethical considerations to optimize the benefits of digital surveillance while safeguarding privacy and equity

Article Details

How to Cite
Gabriela Patricia Guijarro Reinoso, Humberto Daniel Paredes Haro, Jorge Luis Alonso Madero, Lizeth Gabriela Orozco Escaleras, Maria Isabel Angulo Quinquiguano, Washington Javier Masapanta Pilatasig, & Luis Fabricio Correa Auqui. (2024). Epidemiological Surveillance Innovative Applications for Community and Public Health: A Systematic Review. International Journal of Medical Science and Clinical Research Studies, 4(03), 546–555. https://doi.org/10.47191/ijmscrs/v4-i03-32
Issue
Vol. 4 No. 03 (2024): Volume 04 Issue 03 March 2024
Section
Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

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