Development of Accurate Long-lead COVID-19 Forecast

Yang, W., & Shaman, J. (2023). Development of Accurate Long-lead COVID-19 Forecast. PLOS Computational Biology, 19(7), e1011278. https://doi.org/10.1371/journal.pcbi.1011278

Authors:

Wan Yang

Jeffrey Shaman

Affiliated Authors:

Wan Yang

Jeffrey Shaman

Columbia Affiliation:

Mailman School of Public Health
- Department of Epidemiology
- Department of Environmental Health Sciences
Herbert Irving Comprehensive Cancer Center

Subjects:

COVID-19 (MeSH)

Epidemics (MeSH)

Modeling the Dynamics of COVID-19 Pandemic (OpenAlex Topic)

Time Series Forecasting Methods (OpenAlex Topic)

Digital Epidemiology and Disease Surveillance (OpenAlex Topic)

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Publication Type:

Article

Unique ID:

10.1371/journal.pcbi.1011278

PMID:

37459374

DOI:

10.1371/journal.pcbi.1011278

Journal:

PLOS Computational Biology

Publication Date:

2023-07-17

Data Source:

OpenAlex

Source Link:

View OpenAlex Record

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Record Created:

Friday, August 9, 2024 - 13:38