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

Version 2 2024-06-02, 23:00
Version 1 2023-07-18, 03:47
journal contribution
posted on 2024-06-02, 23:00 authored by M Xu, Z Du, S Shan, X Xu, Y Bai, P Wu, Eric LauEric Lau, BJ Cowling
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.

History

Journal

Frontiers in Physics

Volume

10

Pagination

1-5

Location

Lausanne, Switzerland

ISSN

2296-424X

eISSN

2296-424X

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Publisher

Frontiers Media

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