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Estimating the infection-fatality risk of SARS-CoV-2 in New York City during the spring 2020 pandemic wave: a model-based analysis

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Year: 2020
Type: article
Source: The Lancet Infectious Diseases
DOI: 10.1016/s1473-3099(20)30769-6
Authors: Wan Yang, Sasikiran Kandula, Mary Huynh, Sharon K Greene, Gretchen Van Wye, Wenhui Li, Hiu Tai Chan, Emily McGibbon, Alice Yeung, Don Olson, Anne Fine, Jeffrey Shaman
Institutions: Columbia University Irving Medical Center, Columbia University, New York City Department of Health and Mental Hygiene, Government of New York City
Language: English

Topic: COVID-19 epidemiological studies
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: bronze

Funders: National Science Foundation, New York City Department of Health and Mental Hygiene, National Institute of Allergy and Infectious Diseases, Mailman School of Public Health, Columbia University
Awards: G1636177350, Disease Persistence and Population Dynamics: Modeling Measles under Mass Vaccination, RAPID: Inference, Forecasting, and Intervention Modeling of COVID-19, G7887748266
OpenAlex ID: W3093046487
FWCI: 6.36
Cites: 23
Cited by: 186
Related to: 10
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