Purpose <p>This study aims to investigate the role of IoT (Internet of Things) technology in enhancing COVID-19 detection strategies. The primary research question addressed is: <i>How can IoT contribute to more effective and efficient detection of COVID-19 cases?</i></p> Methods <p>A comprehensive review of existing literature and case studies related to IoT applications in COVID-19 detection was conducted. The study analyzed various IoT-based solutions implemented worldwide for surveillance, monitoring, and early detection of COVID-19 cases. Key factors such as sensor technologies, data analytics methods, and integration with existing healthcare systems were examined to understand the effectiveness of IoT in detecting COVID-19.</p> Results <p>The review revealed a range of IoT applications utilized for COVID-19 detection, including wearable devices for symptom monitoring, environmental sensors for air quality monitoring, and contact tracing systems. These IoT solutions demonstrated promising results in facilitating early detection, prompt intervention, and containment of COVID-19 outbreaks. Furthermore, integration with data analytics platforms enabled real-time analysis of epidemiological data, enhancing decision-making and resource allocation in pandemic response efforts.</p> Conclusions <p>IoT technology offers innovative and versatile solutions for improving COVID-19 detection capabilities. By leveraging IoT devices and systems, healthcare authorities can enhance surveillance, monitoring, and early warning systems, thereby strengthening pandemic preparedness and response strategies. However, successful implementation of IoT in COVID-19 detection requires addressing challenges related to data privacy, interoperability, and scalability to ensure widespread adoption and effectiveness in combating the pandemic.</p>