Learning from Large-Scale Wearable Device Data for Predicting Epidemics Trend of COVID-19
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Title
Learning from Large-Scale Wearable Device Data for Predicting Epidemics Trend of COVID-19
Authors
Keywords
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Journal
DISCRETE DYNAMICS IN NATURE AND SOCIETY
Volume 2020, Issue -, Pages 1-8
Publisher
Hindawi Limited
Online
2020-05-06
DOI
10.1155/2020/6152041
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Note: Only part of the references are listed.- Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak
- (2020) Shi Zhao et al. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China
- (2020) Zunyou Wu et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China
- (2020) Dawei Wang et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster
- (2020) Jasper Fuk-Woo Chan et al. LANCET
- Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study
- (2020) Nanshan Chen et al. LANCET
- Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
- (2020) Chaolin Huang et al. LANCET
- Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study
- (2020) Joseph T Wu et al. LANCET
- Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions
- (2020) Zifeng Yang et al. Journal of Thoracic Disease
- Flexible, Stretchable Sensors for Wearable Health Monitoring: Sensing Mechanisms, Materials, Fabrication Strategies and Features
- (2018) Yan Liu et al. SENSORS
- Wearable Health Devices—Vital Sign Monitoring, Systems and Technologies
- (2018) Duarte Dias et al. SENSORS
- Recent Research and Developing Trends of Wearable Sensors for Detecting Blood Pressure
- (2018) Toshiya Arakawa SENSORS
- Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information
- (2017) Xiao Li et al. PLOS BIOLOGY
- Forecasting influenza in Hong Kong with Google search queries and statistical model fusion
- (2017) Qinneng Xu et al. PLoS One
- Using Baidu Search Index to Predict Dengue Outbreak in China
- (2016) Kangkang Liu et al. Scientific Reports
- Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance
- (2015) Mauricio Santillana et al. PLoS Computational Biology
- The Parable of Google Flu: Traps in Big Data Analysis
- (2014) D. Lazer et al. SCIENCE
- Monitoring Influenza Epidemics in China with Search Query from Baidu
- (2013) Qingyu Yuan et al. PLoS One
- Google Flu Trends: Correlation With Emergency Department Influenza Rates and Crowding Metrics
- (2012) A. F. Dugas et al. CLINICAL INFECTIOUS DISEASES
- Detecting influenza epidemics using search engine query data
- (2008) Jeremy Ginsberg et al. NATURE
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