The Use of Digital Health in the Detection and Management of COVID-19

Digital health is uniquely positioned to enhance the way we detect and manage infectious diseases. This commentary explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring. Methods that could potentially reduce the exposure of healthcare providers to the virus are also discussed.

[1]  Steven R Steinhubl,et al.  Remote Sensing of Vital Signs: A Wearable, Wireless “Band-Aid” Sensor With Personalized Analytics for Improved Ebola Patient Care and Worker Safety , 2015, Global Health: Science and Practice.

[2]  Aaron C. Miller,et al.  A Smartphone-Driven Thermometer Application for Real-time Population- and Individual-Level Influenza Surveillance , 2018, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[3]  Michael G. Baker,et al.  Thermal Image Scanning for Influenza Border Screening: Results of an Airport Screening Study , 2011, PloS one.

[4]  Guanghao Sun,et al.  Remote sensing of multiple vital signs using a CMOS camera-equipped infrared thermography system and its clinical application in rapidly screening patients with suspected infectious diseases , 2017, International Journal of Infectious Diseases.

[5]  Eric J Topol,et al.  Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study. , 2020, The Lancet. Digital health.

[6]  R. Brook,et al.  Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing. , 2020, JAMA.

[7]  Helen A. Weiss,et al.  Use of a mobile application for Ebola contact tracing and monitoring in northern Sierra Leone: a proof-of-concept study , 2019, BMC Infectious Diseases.

[8]  Gunther Eysenbach,et al.  Infodemiology and infoveillance tracking online health information and cyberbehavior for public health. , 2011, American journal of preventive medicine.

[9]  Antoine Flahault,et al.  Precision Global Health – The case of Ebola: a scoping review , 2019, Journal of global health.

[10]  Donald S. Grant,et al.  Machine-learning Prognostic Models from the 2014–16 Ebola Outbreak: Data-harmonization Challenges, Validation Strategies, and mHealth Applications , 2019, EClinicalMedicine.

[11]  Linda A. Selvey,et al.  Evaluation of Border Entry Screening for Infectious Diseases in Humans , 2015, Emerging infectious diseases.

[12]  K. Cao,et al.  Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT , 2020, Radiology.

[13]  G. Gao,et al.  A Novel Coronavirus from Patients with Pneumonia in China, 2019 , 2020, The New England journal of medicine.

[14]  Y. Teo,et al.  Potential Rapid Diagnostics, Vaccine and Therapeutics for 2019 Novel Coronavirus (2019-nCoV): A Systematic Review , 2020, Journal of clinical medicine.

[15]  K. Cao,et al.  Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy , 2020 .

[16]  Brennan M. R. Spiegel,et al.  Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials , 2018, npj Digital Medicine.

[17]  Moritz U G Kraemer,et al.  Potential for global spread of a novel coronavirus from China , 2020, Journal of travel medicine.

[18]  Gunther Eysenbach,et al.  SARS and Population Health Technology , 2003, Journal of medical Internet research.

[19]  Daniel Tom-Aba,et al.  Assessing the Concepts and Designs of 58 Mobile Apps for the Management of the 2014-2015 West Africa Ebola Outbreak: Systematic Review , 2018, JMIR public health and surveillance.

[20]  R. Ruslami,et al.  Type 2 Diabetes and its Impact on the Immune System , 2020, Current diabetes reviews.

[21]  Z. Fayad,et al.  Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection , 2020, Radiology.

[22]  Jangho Yoon,et al.  Fever Screening and Detection of Febrile Arrivals at an International Airport in Korea: Association among Self-reported Fever, Infrared Thermal Camera Scanning, and Tympanic Temperature , 2014, Epidemiology and health.

[23]  Carlo Marra,et al.  The Effect of Smartphone Interventions on Patients With Chronic Obstructive Pulmonary Disease Exacerbations: A Systematic Review and Meta-Analysis , 2016, JMIR mHealth and uHealth.

[24]  P. Horby,et al.  A novel coronavirus outbreak of global health concern , 2020, The Lancet.

[25]  Suzanne Fricke,et al.  Semantic Scholar , 2018, Journal of the Medical Library Association : JMLA.