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Integrating smart technologies into environmental monitoringEnvironmental monitoring represents a transformative approach to managing health risksHealth risks associated with environmental changes. This chapter explores various intelligent technologies, such as the Internet of Things (IoT), remote sensing, wearable health sensorsWearable health sensors, and data analytics, which provide real-time data crucial for enhancing healthHealth response systems. These technologies enable continuous monitoring of environmental parameters—air qualityAir quality, water qualityWater quality, temperatureTemperature, and more—allowing for rapid identification of healthHealth hazards and enabling timely interventions. Additionally, the chapter examines how advances in artificial intelligenceArtificial intelligence (AI) are revolutionizing data analytics by supporting predictive models that can forecast disease outbreaks, pollution events, and other environmental health risksEnvironmental health risks. By leveraging AI-driven models, public healthPublic health officials and environmental agencies can proactively address potential threats, ensuring a quicker and more targeted response to emerging healthHealth concerns. The role of AI in data analytics is also discussed, highlighting how AI-driven predictive models can support disease surveillanceDisease surveillance and anticipate environmental health risksEnvironmental health risks. Examples of smart technology applications in healthHealth management illustrate the potential for these innovations to enhance public healthPublic health responses. However, implementing smart environmental monitoringSmart environmental monitoring systems is challenging, as issues such as data privacy, infrastructure costs, and data reliability remain significant barriers. The chapter concludes by promoting a proactive, data-driven approach to environmental healthEnvironmental health management. To overcome current smart technologies challenges in environmental healthEnvironmental health monitoring, there is a need for an integrated approach that brings together technology, healthHealth, and environmental management.

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Smart Technologies in Environmental Monitoring: Enhancing Real-Time Data for Health Management

  • 章节

  • 发表日期：

    2025年

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  • Sylvester Chibueze Izah

摘要

Integrating smart technologies into environmental monitoringEnvironmental monitoring represents a transformative approach to managing health risksHealth risks associated with environmental changes. This chapter explores various intelligent technologies, such as the Internet of Things (IoT), remote sensing, wearable health sensorsWearable health sensors, and data analytics, which provide real-time data crucial for enhancing healthHealth response systems. These technologies enable continuous monitoring of environmental parameters—air qualityAir quality, water qualityWater quality, temperatureTemperature, and more—allowing for rapid identification of healthHealth hazards and enabling timely interventions. Additionally, the chapter examines how advances in artificial intelligenceArtificial intelligence (AI) are revolutionizing data analytics by supporting predictive models that can forecast disease outbreaks, pollution events, and other environmental health risksEnvironmental health risks. By leveraging AI-driven models, public healthPublic health officials and environmental agencies can proactively address potential threats, ensuring a quicker and more targeted response to emerging healthHealth concerns. The role of AI in data analytics is also discussed, highlighting how AI-driven predictive models can support disease surveillanceDisease surveillance and anticipate environmental health risksEnvironmental health risks. Examples of smart technology applications in healthHealth management illustrate the potential for these innovations to enhance public healthPublic health responses. However, implementing smart environmental monitoringSmart environmental monitoring systems is challenging, as issues such as data privacy, infrastructure costs, and data reliability remain significant barriers. The chapter concludes by promoting a proactive, data-driven approach to environmental healthEnvironmental health management. To overcome current smart technologies challenges in environmental healthEnvironmental health monitoring, there is a need for an integrated approach that brings together technology, healthHealth, and environmental management.