Prediction of hand, foot, and mouth disease epidemics in Japan using a long short-term memory approach

• Published in: PloS one Vol. 17; no. 7; p. e0271820
• Main Authors: Yoshida, Kazuhiro, Fujimoto, Tsuguto, Muramatsu, Masamichi, Shimizu, Hiroyuki
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 28.07.2022; Public Library of Science (PLoS)
• Subjects: Analysis; Biology and Life Sciences; Care and treatment; China - epidemiology; Communicable Diseases - epidemiology; Computer and Information Sciences; Coxsackievirus infections; Deep learning; Diagnosis; Disease Outbreaks; Encephalitis; Enteroviruses; Epidemics; Fever; Hand, Foot and Mouth Disease - epidemiology; Hand-foot-and-mouth disease; Humans; Infectious diseases; Japan - epidemiology; Long short-term memory; Maximum entropy method; Medicine and Health Sciences; Meningitis; Neural networks; Neural Networks, Computer; Pediatrics; People and Places; Physical Sciences; R&D; Recurrent neural networks; Research & development; Research and Analysis Methods; Risk factors; Signs and symptoms; Surveillance; Websites; China; Japan

Hand, foot, and mouth disease (HFMD) is a common febrile illness caused by enteroviruses in the Picornaviridae family. The major symptoms of HFMD are fever and a vesicular rash on the hand, foot, or oral mucosa. Acute meningitis and encephalitis are observed in rare cases. HFMD epidemics occur annua...