Work

COVID-19 forecasting from U.S. wastewater surveillance data: A retrospective multi-model study (2022–2024)

Year: 2026

Type: article

Source: Journal of Theoretical Biology

DOI: 10.1016/j.jtbi.2026.112449

Authors: Faharudeen Alhassan, Hamed Karami, Amanda Bleichrodt, James M. Hyman, Isaac C.H. Fung, Ruiyan Luo, Gerardo Chowell

Institutions: Georgia State University, Tulane University, Georgia Southern University, Kyung Hee University

Language: English

Topic: COVID-19 epidemiological studies

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDGs: Clean water and sanitation, Good health and well-being

Open Access status: green

Funders: National Science Foundation, Georgia State University, Office of International Science and Engineering

Awards: SCC-IRG JST: PanCommunity: Leveraging Data and Models for Understanding and Improving Community Response in Pandemics, EAGER: IMPRESS-U: Modeling and Forecasting of Infection Spread in War and Post War Settings Using Epidemiological, Behavioral and Genomic Surveillance Data

OpenAlex ID: W7141850358

FWCI:

Cites: 52

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Related to: 10