COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy
Author:
Funder
Agencia Estatal de Investigación
H2020 Marie Skłodowska-Curie Actions
Ministerio de Ciencia e Innovación
University of the Basque Country
European Union
Eusko Jaurlaritza
Publisher
Elsevier BV
Reference48 articles.
1. Coronavirus disease 2019 symptoms and severe acute respiratory syndrome coronavirus 2 antibody positivity in a large survey of first responders and healthcare personnel, may-july 2020;Akinbami;Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America,2021
2. Coronavirus (COVID-19) detection using ensemble learning;Al-Bwana,2021
3. Estimation of covid-19 epidemiology curve of the united states using genetic programming algorithm;Anđelić;International Journal of Environmental Research and Public Health,2021
4. Global monitoring of the impact of the COVID-19 pandemic through online surveys sampled from the facebook user base;Astley;Proceedings of the National Academy of Sciences,2021
5. Estimated SARS-CoV-2 seroprevalence in the US as of september 2020;Bajema;JAMA Internal Medicine,2021
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