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Gabriel Berg de Almeida

Dados Biográficos

ID8524469
NOMEGabriel Berg de Almeida
PRENOMESGabriel Berg
SOBRENOMEde Almeida
ASSINATURADE ALMEIDA G B
AFILIAÇÕESUniversidade Estadual Paulista (Unesp)
ORCID0000-0002-1712-0899
VERIFICADOSim
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0
  • Dengue virus introduction and 2025 outlook

    Open Access•Thomas N Vilches, Cláudia Pio Ferreira et al.•ARTICLE•Cadernos de Saude Publica•2026

    This study aims to model multiple scenarios of dengue introduction and spread in Botucatu, São Paulo State, Brazil, and to evaluate the impact of vaccination strategies on the epidemic trajectory in a city that, until 2023, had less than 1% of its population infected with dengue. First, we estimated the basic reproduction number (R 0 ) during the 2024 epidemic and compared it with values reported in the literature. We then developed an age-strati…

  • Modelagem da Covid-19 no Brasil e a interação entre academia e gestores durante a pandemia

    Open Access•Michelle Quarti Machado Da Rosa, Ângela Maria Bagattini et al.•ARTICLE•Ciência & Saúde Coletiva•2025

    A modelagem desempenhou papel significativo no apoio a políticas públicas durante a pandemia de COVID-19, e a tomada de decisão enfrentou um contexto de evidências limitadas. Este é um estudo transversal que incluiu e caracterizou instituições e grupos de pesquisadores que trabalharam com modelagem de COVID-19 e apoiaram a tomada de decisão. Utilizamos duas estratégias para identificação: 1) revisão de escopo e 2) amostragem de grupos através de …

  • Dynamic transmission modeling of Covid-19 to support decision-making in Brazil

    Open Access•Gabriel Berg de Almeida, Lorena Mendes Simon et al.•ARTICLE•PLOS Global Public Health•2023

    Brazil was one of the countries most affected during the first year of the COVID-19 pandemic, in a pre-vaccine era, and mathematical and statistical models were used in decision-making and public policies to mitigate and suppress SARS-CoV-2 dispersion. In this article, we intend to overview the modeling for COVID-19 in Brazil, focusing on the first 18 months of the pandemic. We conducted a scoping review and searched for studies on infectious dis…

  • Impact of nonpharmaceutical strategies on trends of Covid-19 in São Paulo State

    Open Access•Cristiane Ravagnani Fortaleza, Thomas N Vilches et al.•ARTICLE•Revista de Saúde Pública•2021

    Interrupted time series analyses were conducted to measure the impact of social distancing policies (instituted on March 22, 2020) and of subsequent mandatory masking in the community (instituted on May 4, 2020) on the incidence and effective reproductive number of COVID-19 in São Paulo State, Brazil. Overall, the impact of social distancing both on incidence and Rt was greater than the incremental effect of mandatory masking. Those findings may …

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  • Impact of nonpharmaceutical strategies on trends of Covid-19 in São Paulo State

    Open Access•Cristiane Ravagnani Fortaleza, Thomas N Vilches et al.•ARTICLE•Revista de Saúde Pública•2021

    Interrupted time series analyses were conducted to measure the impact of social distancing policies (instituted on March 22, 2020) and of subsequent mandatory masking in the community (instituted on May 4, 2020) on the incidence and effective reproductive number of COVID-19 in São Paulo State, Brazil. Overall, the impact of social distancing both on incidence and Rt was greater than the incremental effect of mandatory masking. Those findings may …

  • Dynamic transmission modeling of Covid-19 to support decision-making in Brazil

    Open Access•Gabriel Berg de Almeida, Lorena Mendes Simon et al.•ARTICLE•PLOS Global Public Health•2023

    Brazil was one of the countries most affected during the first year of the COVID-19 pandemic, in a pre-vaccine era, and mathematical and statistical models were used in decision-making and public policies to mitigate and suppress SARS-CoV-2 dispersion. In this article, we intend to overview the modeling for COVID-19 in Brazil, focusing on the first 18 months of the pandemic. We conducted a scoping review and searched for studies on infectious dis…

  • Modelagem da Covid-19 no Brasil e a interação entre academia e gestores durante a pandemia

    Open Access•Michelle Quarti Machado Da Rosa, Ângela Maria Bagattini et al.•ARTICLE•Ciência & Saúde Coletiva•2025

    A modelagem desempenhou papel significativo no apoio a políticas públicas durante a pandemia de COVID-19, e a tomada de decisão enfrentou um contexto de evidências limitadas. Este é um estudo transversal que incluiu e caracterizou instituições e grupos de pesquisadores que trabalharam com modelagem de COVID-19 e apoiaram a tomada de decisão. Utilizamos duas estratégias para identificação: 1) revisão de escopo e 2) amostragem de grupos através de …

  • Dengue virus introduction and 2025 outlook

    Open Access•Thomas N Vilches, Cláudia Pio Ferreira et al.•ARTICLE•Cadernos de Saude Publica•2026

    This study aims to model multiple scenarios of dengue introduction and spread in Botucatu, São Paulo State, Brazil, and to evaluate the impact of vaccination strategies on the epidemic trajectory in a city that, until 2023, had less than 1% of its population infected with dengue. First, we estimated the basic reproduction number (R 0 ) during the 2024 epidemic and compared it with values reported in the literature. We then developed an age-strati…

COVID-19 epidemiological studies (4 obras) · Medicine (3 obras) · Political science (2 obras) · Social distance (2 obras) · Viral Infections and Outbreaks Research (2 obras) · 2019-20 coronavirus outbreak (1 obras) · Basic reproduction number (1 obras) · Computer Science (1 obras) · Coronavirus disease 2019 (COVID-19) (1 obras) · COVID-19 and Mental Health (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae