文章基本信息

标题：中国・インド・フィリピン・北欧との感染症発生動向に関する共同研究
本地全文：下载
作者：Ayako SUMI ; Nobumichi KOBAYASHI
期刊名称：日本衛生学雑誌
印刷版ISSN：0021-5082
电子版ISSN：1882-6482
出版年度：2017
卷号：72
期号：2
页码：112-122
DOI：10.1265/jjh.72.112
出版社：The Japanese Society for Hygiene
摘要：In this report, we present a short review of applications of time series analysis, which consists of spectral analysis based on the maximum entropy method in the frequency domain and the least squares method in the time domain, to the incidence data of infectious diseases. This report consists of three parts. First, we present our results obtained by collaborative research on infectious disease epidemics with Chinese, Indian, Filipino and North European research organizations. Second, we present the results obtained with the Japanese infectious disease surveillance data and the time series numerically generated from a mathematical model, called the susceptible/exposed/infectious/recovered (SEIR) model. Third, we present an application of the time series analysis to pathologic tissues to examine the usefulness of time series analysis for investigating the spatial pattern of pathologic tissue. It is anticipated that time series analysis will become a useful tool for investigating not only infectious disease surveillance data but also immunological and genetic tests.
关键词：time series analysis ; infectious disease ; surveillance ; temperature ; mathematical model