| Literature DB >> 35308930 |
Madison A Pickering1,2, Subbarayan Venkatesan1, Christoph U Lehmann2, Sameh Saleh2, Richard J Medford2.
Abstract
The rapidly changing situation characterized by the COVID-19 pandemic highlighted a need for new epidemic modeling strategies. Due to an absence of computationally efficient models robust to paucity of reliable data, we developed NetworkSIR, a model capable of making predictions when only the approximate population density is known. We then extend NetworkSIR to capture the effect of indirect disease spread on the progression of an epidemic (EnvironmentalSIR). ©2021 AMIA - All rights reserved.Entities:
Mesh：
Year: 2022 PMID： 35308930 PMCID： PMC8861737
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN： 1559-4076