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RiskEstim: A Software Package to Quantify COVID-19 Importation Risk

Authors :
Mingda Xu
Zhanwei Du
Songwei Shan
Xiaoke Xu
Yuan Bai
Peng Wu
Eric H. Y. Lau
Benjamin J. Cowling
Source :
Frontiers in Physics, Vol 10 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

We present an R package developed to quantify coronavirus disease 2019 (COVID-19) importation risk. Quantifying and visualizing the importation risk of COVID-19 from inbound travelers is urgent and imperative to trigger public health responses, especially in the early stages of the COVID-19 pandemic and emergence of new SARS-CoV-2 variants. We provide a general modeling framework to estimate COVID-19 importation risk using estimated pre-symptomatic prevalence of infection and air traffic data from the multi-origin places. We use Hong Kong as a case study to illustrate how our modeling framework can estimate the COVID-19 importation risk into Hong Kong from cities in Mainland China in real time. This R package can be used as a complementary component of the pandemic surveillance system to monitor spread in the next pandemic.

Details

Language :
English
ISSN :
2296424X
Volume :
10
Database :
Directory of Open Access Journals
Journal :
Frontiers in Physics
Publication Type :
Academic Journal
Accession number :
edsdoj.f2f476d6b6345eb87d21e8e44242048
Document Type :
article
Full Text :
https://doi.org/10.3389/fphy.2022.835992