[ABE-L] Fwd: Divulgação Seminário PPGEst-UFRGS

[Marcio Valk]

**********************************************************
Professor Dr. Marcio Valk,
Universidade Federal do Rio Grande do Sul - UFRGS
Instituto de Matemática e Estatística
Departamento de Estatística
Av. Bento Gonçalves, 9500
91509-900 Porto Alegre - RS - Brasil
Tel.: 051 3308-6191




---------- Forwarded message ---------
De: Marcio Valk <marciovalk em gmail.com>
Date: sex., 5 de nov. de 2021 Ã s 11:40
Subject: Divulgação Seminário PPGEst-UFRGS
To: <abe-l em ime.usp.br>



Bom dia,

Temos o prazer de convidar a todos para mais um seminário do Ciclo de
Seminários 2021 do Programa de Pós-Graduação em Estatística da UFRGS
(PPGEst-UFRGS). Informações abaixo:

Evento: Ciclo de Seminários 2021 do PPGEst-UFRGS

Palestrante: Dr. Leonardo Bastos  (Fiocruz)

Título:  Age-dependent nowcasting deaths and hospitalised cases Covid-19 in
Brazil

Resumo:  The coronavirus disease (COVID-19) pandemic continues to cause a
massive burden in the world, especially in countries such as Brazil,
with poor implementation of strategies to mitigate the transmission of
SARS-CoV-2. The number of cases, severe cases, and deaths by COVID-19
are important indicators of how the COVID-19 epidemic is affecting a
particular region and can be used by decision-makers to act in order
to reduce morbidity and mortality. However, a common problem with
surveillance data is reporting delays, whereby cases and deaths are
recorded in the surveillance system days or even weeks after they
occurred. Statistical models can estimate the actual number of severe
cases and deaths due to COVID-19 accounting for the delays
(nowcasting) by age groups. We proposed a Bayesian hierarchical model
to nowcast deaths and hospitalised cases for Brazil and also for the
27 federal units. Finally, we provide some general discussion about
the COVID-19 situation in Brazil.

Data: 08 de Novembro de 2021 (segunda-feira)

Horário: 14h00 às 15:20 (60 min de apresentação e 20 min para perguntas)

Local: Ambiente virtual Mconf. Link: https://mconf.ufrgs.br/webconf/ppgest

Moderadora: Profa. Gabriela Cybis (PPGEst-UFRGS)

Contamos com a presença de todos.

PPGEst-UFRGS
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