https://scholars.lib.ntu.edu.tw/handle/123456789/590989
Title: | Predicting the effective reproduction number of COVID-19: inference using human mobility, temperature, and risk awareness | Authors: | Jung, Sung-Mok Endo, Akira Andrey Akhmetzhanov Nishiura, Hiroshi |
Keywords: | COVID-19; Japan; effective reproduction number; mobility; regression model; temperature | Issue Date: | Dec-2021 | Publisher: | ELSEVIER SCI LTD | Journal Volume: | 113 | Start page/Pages: | 47 | Source: | International Journal of Infectious Diseases | Abstract: | 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/Keyword: | 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 |
Appears in Collections: | 全球衛生學位學程 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.