A Web-based Data Visualization System to Present Infectious Disease Surveillance Data
Masashi Inoue, Shinsaku Hasegawa, Akihiko Suyama
Abstract
Masashi Inoue, Shinsaku Hasegawa, Akihiko Suyama
Abstract
Based on the Japanese infectious disease surveillance scheme, weekly or monthly reports on infectious diseases are collected from all over the country. We have developed a Web-based data visualization system to make the infectious disease surveillance data more comprehensible for medical personnel. The main feature of the system is that it automatically generates Flash animation by using the collected numerical data which visualizes the time series and spatial shift of the case incidents of disease simultaneously on the home page. This system can provide support for medical personnel to grasp the trend of infectious diseases morbidity and to warn them of any impending outbreak of the diseases.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Based on the Japanese infectious disease surveillance scheme, weekly or monthly reports on infectious diseases are collected from all over the country. We have developed a Web-based data visualization system to make the infectious disease surveillance data more comprehensible for medical personnel. The main feature of the system is that it automatically generates Flash animation by using the collected numerical data which visualizes the time series and spatial shift of the case incidents of disease simultaneously on the home page. This system can provide support for medical personnel to grasp the trend of infectious diseases morbidity and to warn them of any impending outbreak of the diseases.
Key concepts: Infectious disease (medical specialty), Disease surveillance, Visualization, Outbreak, Computer science, Data visualization, Disease, Data science