Cargando…

Modeling and forecasting the early evolution of the Covid-19 pandemic in Brazil

We model and forecast the early evolution of the COVID-19 pandemic in Brazil using Brazilian recent data from February 25, 2020 to March 30, 2020. This early period accounts for unawareness of the epidemiological characteristics of the disease in a new territory, sub-notification of the real numbers...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bastos, Saulo B., Cajueiro, Daniel O.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655855/ https://www.ncbi.nlm.nih.gov/pubmed/33173127 http://dx.doi.org/10.1038/s41598-020-76257-1

Ejemplares similares

The COVID-19 (SARS-CoV-2) uncertainty tripod in Brazil: Assessments on model-based predictions with large under-reporting
por: Bastos, Saulo B., et al.
Publicado: (2021)

An optimal predictive control strategy for COVID-19 (SARS-CoV-2) social distancing policies in Brazil
por: Morato, Marcelo M., et al.
Publicado: (2020)

COVID-19 Epidemic Forecast in Brazil
por: Gaidai, Oleg, et al.
Publicado: (2023)

Modeling and forecasting the COVID-19 pandemic in India
por: Sarkar, Kankan, et al.
Publicado: (2020)

Efficient artificial intelligence forecasting models for COVID-19 outbreak in Russia and Brazil
por: Al-qaness, Mohammed A.A., et al.
Publicado: (2021)

Forecast predictions for the COVID-19 pandemic in Brazil by statistical modeling using the Weibull distribution for daily new cases and deaths
por: Moreau, Vitor Hugo
Publicado: (2020)

Short-term forecasting of daily COVID-19 cases in Brazil by using the Holt’s model
por: Martinez, Edson Zangiacomi, et al.
Publicado: (2020)

Forecasting Covid-19 Dynamics in Brazil: A Data Driven Approach
por: Pereira, Igor Gadelha, et al.
Publicado: (2020)

IMPACT OF MEASURES TO FIGHT THE PANDEMIC COVID-19 ON KNEE ARTHROPLASTIES IN BRAZIL
por: PEREIRA, ANDRÉ MIRANDA, et al.
Publicado: (2022)

Modeling and forecasting the COVID‐19 pandemic time‐series data
por: Doornik, Jurgen A., et al.
Publicado: (2021)

A discrete-time-evolution model to forecast progress of Covid-19 outbreak
por: Curado, Evaldo M. F., et al.
Publicado: (2020)

Forecasting of the COVID-19 pandemic situation of Korea
por: Goo, Taewan, et al.
Publicado: (2021)

Epidemiological Forecasting with Model Reduction of Compartmental Models. Application to the COVID-19 Pandemic
por: Bakhta, Athmane, et al.
Publicado: (2020)

Forecasting and modeling of the COVID-19 pandemic in the USA with a timed intervention model
por: Hachtel, Gary D., et al.
Publicado: (2022)

Dynamic tracking with model-based forecasting for the spread of the COVID-19 pandemic
por: Cooper, Ian, et al.
Publicado: (2020)

The challenges of modeling and forecasting the spread of COVID-19
por: Bertozzi, Andrea L., et al.
Publicado: (2020)

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
por: Ribeiro, Matheus Henrique Dal Molin, et al.
Publicado: (2020)

Forecasts of Covid-19 evolution by nearest epidemic trajectories detection
por: Rusin, Tomasz M.
Publicado: (2021)

COVID‐19 Pandemic Imperils Weather Forecast
por: Chen, Ying
Publicado: (2020)

A machine learning forecasting model for COVID-19 pandemic in India
por: Sujath, R., et al.
Publicado: (2020)

A data-driven model for COVID-19 pandemic – Evolution of the attack rate and prognosis for Brazil
por: Rocha Filho, T.M., et al.
Publicado: (2021)

Forecasting COVID-19 pandemic in Alberta, Canada using modified ARIMA models
por: Sun, Jian
Publicado: (2021)

Modeling and forecasting the COVID-19 pandemic with heterogeneous autoregression approaches: South Korea
por: Hwang, Eunju, et al.
Publicado: (2021)

Using multiagent modeling to forecast the spatiotemporal development of the COVID-19 pandemic in Poland
por: Pałka, Piotr, et al.
Publicado: (2022)

National Holidays and Social Mobility Behaviors: Alternatives for Forecasting COVID-19 Deaths in Brazil
por: Aragão, Dunfrey Pires, et al.
Publicado: (2021)

Forecasting the spread of the COVID-19 pandemic in Kenya using SEIR and ARIMA models
por: Kiarie, Joyce, et al.
Publicado: (2022)

The Influence of COVID-19 Pandemic on Management Earnings Forecasts
por: Fu, Xiangfei, et al.
Publicado: (2022)

Nanophotonic reservoir computing for COVID-19 pandemic forecasting
por: Liu, Bocheng, et al.
Publicado: (2022)

Correction to: A machine learning forecasting model for COVID-19 pandemic in India
por: Sujatha, R., et al.
Publicado: (2020)

A Generalized Mechanistic Model for Assessing and Forecasting the Spread of the COVID-19 Pandemic
Publicado: (2021)

Vaccine rate forecast for COVID-19 in Africa using hybrid forecasting models
por: Dhamodharavadhani, S, et al.
Publicado: (2023)

Impact of the COVID-19 pandemic on the breast cancer early diagnosis program in Brazil
por: Antonini, Marcelo, et al.
Publicado: (2023)

Brazil's COVID-19 response
por: da Silva Bastos, Maria Helena
Publicado: (2020)

Early public research funding response to COVID-19 pandemic in Brazil
por: Campo, Kaio Niitsu, et al.
Publicado: (2020)

Forecasting COVID-19 pandemic: A data-driven analysis
por: Nabi, Khondoker Nazmoon
Publicado: (2020)

Forecasting COVID-19 pandemic: Unknown unknowns and predictive monitoring
por: Luo, Jianxi
Publicado: (2021)

Impact of COVID-19 forecast visualizations on pandemic risk perceptions
por: Padilla, Lace, et al.
Publicado: (2022)

COVID-19 pandemic, limited attention, and analyst forecast dispersion
por: Zhang, Jinjin, et al.
Publicado: (2022)

COVID-19 in Iran: Forecasting Pandemic Using Deep Learning
por: Kafieh, Rahele, et al.
Publicado: (2021)

Deep Spatiotemporal Model for COVID-19 Forecasting
por: Muñoz-Organero, Mario, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_ejc983hrjou0l57qia30o842bf