https://scholars.lib.ntu.edu.tw/handle/123456789/590989
標題: | Predicting the effective reproduction number of COVID-19: inference using human mobility, temperature, and risk awareness | 作者: | Jung, Sung-Mok Endo, Akira Andrey Akhmetzhanov Nishiura, Hiroshi |
關鍵字: | COVID-19; Japan; effective reproduction number; mobility; regression model; temperature | 公開日期: | 十二月-2021 | 出版社: | ELSEVIER SCI LTD | 卷: | 113 | 起(迄)頁: | 47 | 來源出版物: | International Journal of Infectious Diseases | 摘要: | The effective reproduction number (Rt) has been critical for assessing the effectiveness of countermeasures during the coronavirus disease 2019 (COVID-19) pandemic. Conventional methods using reported incidences are unable to provide timely Rt data due to the delay from infection to reporting. Our study aimed to develop a framework for predicting Rt in real time, using timely accessible data - i.e. human mobility, temperature, and risk awareness. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/590989 | ISSN: | 1201-9712 | DOI: | 10.1016/j.ijid.2021.10.007 | SDG/關鍵字: | Article; body temperature; coronavirus disease 2019; cross validation; effective reproduction number; epidemiological data; explanatory variable; human; incidence; linear regression analysis; normal distribution; public health; risk assessment; superspreading event; task performance; uncertainty; basic reproduction number; pandemic; temperature; Basic Reproduction Number; COVID-19; Humans; Pandemics; SARS-CoV-2; Temperature |
顯示於: | 全球衛生學位學程 |
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