Researchers Propose App for Rapid Identification of Coronavirus Cases

Addressing COVID-19 Risks

As the COVID-19 pandemic continues to evolve, individuals are actively seeking methods to mitigate their risk of infection. The medical community is dedicated to minimizing the virus’s spread, particularly among vulnerable populations.

The Role of Mobile Technology in Healthcare

The widespread use of mobile devices presents unique opportunities for healthcare professionals. Access to point-of-care tools has greatly improved through mobile applications, offering advantages such as enhanced decision-making and improved patient outcomes.

Development of a Coronavirus Detection App

Researchers at the Medical College of Georgia in Augusta are working on an app that integrates the convenience of mobile technology with the capabilities of machine learning to identify potential coronavirus cases. This app aims to facilitate faster detection and help curb the virus’s transmission.

Data Collection and Algorithm Processing

To create an effective detection tool, researchers gathered data aligned with the CDC’s guidelines for assessing COVID-19. This data includes essential travel history and common symptoms, such as fever, cough, shortness of breath, and pneumonia. The information will enhance preliminary screening results for early identification of the virus.

Utilizing machine learning, the app will analyze the collected data through an algorithm that categorizes users into risk levels: no risk, minimal risk, moderate risk, and high risk. If a health check is warranted, the app will alert nearby healthcare facilities. For individuals with limited mobility, it will notify mobile healthcare units of their need for assistance.

Identifying Hotspots and Future Applications

Beyond individual assessments, the app can help researchers pinpoint towns or regions experiencing high rates of infection. This data will enable healthcare officials to allocate resources effectively and assist researchers in understanding the virus’s spread.

If successful, this app could pave the way for future applications targeting novel viruses and diseases. It might also serve as a screening tool for large community gatherings and sporting events.

Expert Insight

Dr. Arni S.R. Srinivasa Rao, the study’s lead author, emphasized the app’s purpose: “We wanted to help identify people who are at high risk for coronavirus, help expedite their access to screening and medical care, and reduce the spread of this infectious disease. People will not have to wait for hospitals to screen them directly. We want to simplify people’s lives and calm their concerns by getting information directly to them.”

Availability of the App

Once developed, the coronavirus detection app will be accessible in app stores for both Apple and Android devices.

References

1. Rao A, Vazquez J. Identification of COVID-19 Can be Quicker through Artificial Intelligence framework using a Mobile Phone-Based Survey in the Populations when Cities/Towns Are Under Quarantine. Infection Control & Hospital Epidemiology. 2020:1-18. doi:10.1017/ice.2020.612.
2. Ventola CL. Mobile devices and apps for health care professionals: uses and benefits. P T. 2014;39(5):356–364.

Written by Rebecca K. Blankenship, B.Sc.
Image by mcmurryjulie from Pixabay