Applying symptom dynamics to accurately predict influenza virus infection: An international multicenter influenza‐like illness surveillance study-Reference-Cited by-同舟云学术

Applying symptom dynamics to accurately predict influenza virus infection: An international multicenter influenza‐like illness surveillance study

Author:

Li Jin‐Hua¹²,Wu Chin‐Chieh¹,Tseng Yi‐Ju³,Han Shih‐Tsung⁴,Pekosz Andrew⁵^ORCID,Rothman Richard⁶,Chen Kuan‐Fu¹⁷^ORCID

Affiliation:

1. Clinical Informatics and Medical Statistics Research Center Chang Gung University Taoyuan Taiwan

2. Department of Medical Education Chang Gung Memorial Hospital Chiayi Taiwan

3. Department of Computer Science National Yang Ming Chiao Tung University Hsinchu Taiwan

4. Department of Emergency Medicine Chang Gung Memorial Hospital Linkou Taiwan

5. W. Harry Feinstone Department of Molecular Microbiology and Immunology The Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA

6. Department of Emergency Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA

7. Department of Emergency Medicine Chang Gung Memorial Hospital Keelung Taiwan

Funder

Ministry of Science and Technology

National Institutes of Health

Publisher

Wiley

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,Pulmonary and Respiratory Medicine,Epidemiology

Link

Reference39 articles.

1. World Health O.Global influenza strategy 2019–2030. World Health Organization0919 2021. Updated 2019.https://apps.who.int/iris/handle/10665/311184

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