COVID-19 incidence estimates and forecast by metaprediction for the Comunidad de Madrid <sup>*</sup>-Reference-Cited by-同舟云学术

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COVID-19 incidence estimates and forecast by metaprediction for the Comunidad de Madrid ^*

Published:2023-12-05 Issue: Volume: Page:3362-3369
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Martínez Aymar Cublier¹,Muñoz Organero Mario²,Moriña David³,Barroso Diana Gómez⁴,Singh David E.¹

Affiliation:

1. Universidad Carlos III de Madrid,Computer Science Department,Leganés,Spain

2. Universidad Carlos III de Madrid,Telematics Engineering,Leganés,Spain

3. Universitat de Barcelona,Department of Statistics,Barcelona,Spain

4. Instituto de Salud Carlos III,Centro Nacional de Epidemiología,Madrid,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385648.pdf?arnumber=10385648

Reference22 articles.

1. Modeling the impact of social distancing, testing, contact tracing and household quarantine on second-wave scenarios of the covid-19 pandemic.(2020);Aleta;Publisher Full Text,2021

2. An agent-based model to evaluate the COVID-19 transmission risks in facilities

3. Estimating the real burden of disease under a pandemic situation: The SARS-CoV2 case

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