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A Digital Mask-Voiceprint System for Postpandemic Surveillance and Tracing Based on the STRONG Strategy
Xiaogao Pan1,2, Alphonse Houssou Hounye3, Yuqi Zhao4
1Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Journal of Medical Internet Research
|October 19, 2023
Summary
This viewpoint proposes an intelligent strategy using wearable mask sample collectors and voiceprints for COVID-19 surveillance and mask waste management. This approach aims to enable social recovery while ensuring public health and environmental safety.
Area of Science:
- Public Health
- Environmental Science
- Epidemiology
Background:
- COVID-19 lockdowns caused significant societal hardships.
- Decreasing virus severity and vaccine coverage support resuming normal life.
- Lack of contingency plans for future variants and mask waste crisis pose ongoing risks.
Purpose of the Study:
- To propose a strategy for intelligent COVID-19 surveillance.
- To address the environmental and health hazards of mask waste.
- To facilitate sustainable resumption of social and economic activities.
Main Methods:
- Development of a STRONG (Spatiotemporal Reporting Over Network and GPS) strategy.
- Integration of wearable mask sample collectors (masklect) for infection surveillance.
- Utilization of voiceprints for enhanced data collection.
Main Results:
- The proposed strategy enables intelligent surveillance of infected cases.
- Centralized management of discarded masks is outlined.
- The system supports dynamic clearance of COVID-19.
Conclusions:
- The intelligent strategy can help manage the pandemic sustainably.
- It supports economic recovery and social activity resumption.
- It ensures a safe public health environment by minimizing disease transmission and environmental hazards.
