Modeling county level COVID-19 transmission in the greater St. Louis area: Challenges of uncertainty and identifiability when fitting mechanistic models to time-varying processes-Reference-Cited by-同舟云学术

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Modeling county level COVID-19 transmission in the greater St. Louis area: Challenges of uncertainty and identifiability when fitting mechanistic models to time-varying processes

Published:2024-05 Issue: Volume:371 Page:109181
ISSN:0025-5564
Container-title:Mathematical Biosciences
language:en
Short-container-title:Mathematical Biosciences

Author:

Das Praachi^ORCID,Igoe Morganne,Lacy Alexanderia,Farthing Trevor,Timsina Archana,Lanzas Cristina,Lenhart Suzanne,Odoi Agricola,Lloyd Alun L.

Funder

Centers for Disease Control and Prevention

Publisher

Elsevier BV

Reference52 articles.

1. Mobility network models of COVID-19 explain inequities and inform reopening;Chang;Nature,2020

2. Predicting the second wave of COVID-19 in Washtenaw County, MI;Renardya;J. Theor. Biol.,2020

3. Differential effects of intervention timing on COVID-19 spread in the United States;Pei;Sci. Adv.,2020

4. European and US lockdowns and second waves during the COVID-19 pandemic;Glass;Math. Biosci.,2020

5. Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period;Kissler;Science,2020

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1. Identifiability investigation of within-host models of acute virus infection;2024-05-10

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