title: Automated graphic image generation system for effective representation of infectious disease surveillance data.
abstract: Infectious disease surveillance schemes have been established to detect infectious disease outbreak in the early stages, to identify the causative viral strains, and to rapidly assess related morbidity and mortality. To make a scheme function well, two things are required. Firstly, it must have sufficient sensitivity and be timely to guarantee as short a delay as possible from collection to redistribution of information. Secondly, it must provide a good representation of the results of the surveillance. To do this, we have developed a database system that can redistribute the information via the Internet. The feature of this system is to automatically generate the graphic images based on the numerical data stored in the database by using Hypertext Preprocessor (PHP) script and Graphics Drawing (GD) library. It dynamically displays the information as a map or bar chart as well as a numerical impression according to the real time demand of the users. This system will be a useful tool for medical personnel and researchers working on infectious disease problems and will save significant time in the redistribution of information.
authors.affiliation: Department of Medical Environmentology, School of Medicine, Faculty of Medicine, Tottori University, 86 Nishi-machi, Yonago, Japan. masashi@grape.med.tottori-u.ac.jp
authors.forename: Masashi
authors.initials: M
authors.lastname: Inoue
authors.forename: Shinsaku
authors.initials: S
authors.lastname: Hasegawa
authors.forename: Akihiko
authors.initials: A
authors.lastname: Suyama
authors.forename: Shunsuke
authors.initials: S
authors.lastname: Meshitsuka
mesh_terms: D001331:Automation; D003140:Communicable Disease Control; D003196:Computer Graphics; D006801:Humans; D020407:Internet; D011159:Population Surveillance