Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Joabe Marcos de Souza"'
Autor:
Osmar Pinto Neto, Deanna M. Kennedy, José Clark Reis, Yiyu Wang, Ana Carolina Brisola Brizzi, Gustavo José Zambrano, Joabe Marcos de Souza, Wellington Pedroso, Rodrigo Cunha de Mello Pedreiro, Bruno de Matos Brizzi, Ellysson Oliveira Abinader, Renato Amaro Zângaro
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Incidence of COVID-19 has been high in parts of South America including Brazil, and information on effective intervention strategies is needed. Here, the authors use mathematical modelling to show that reductions in social distancing should be made g
Externí odkaz:
https://doaj.org/article/98e704ffe85746ffa86ad890c1cdcecf
Compartmentalized mathematical model to predict future number of active cases and deaths of COVID-19
Autor:
Osmar Pinto Neto, Ellysson Oliveira Abinader, Bruno de Matos Brizzi, Rodrigo Cunha de Mello Pedreiro, Wellington Pedroso, Ana Carolina Brisola Brizzi, Gustavo José Zambrano, Renato Amaro Zângaro, José Clark Reis, Joabe Marcos de Souza
Publikováno v:
Research on Biomedical Engineering
In December 2019, China reported a series of atypical pneumonia cases caused by a new Coronavirus, called COVID-19. In response to the rapid global dissemination of the virus, on the 11th of Mars, the World Health Organization (WHO) has declared the
Autor:
Arturo Gomez, Ramlingam G. Pillai, Joabe Marcos de Souza, Aviv Levy, James B. French, Matheus M. Monjon, D. Felix Finger, Jaspreet Singh, Daniel P. Raymer
Publikováno v:
AIAA Scitech 2021 Forum.
Autor:
Renato Amaro Zângaro, Ellysson Oliveira Abinader, José Clark Reis, Joabe Marcos de Souza, Rodrigo Cunha de Mello Pedreiro, Deanna M. Kennedy, Gustavo José Zambrano, Bruno de Matos Brizzi, Yiyu Wang, Wellington Pedroso, Ana Carolina Brisola Brizzi, Osmar Pinto Neto
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
With COVID-19 surging across the world, understanding the effectiveness of intervention strategies on transmission dynamics is of primary global health importance. Here, we develop and analyze an epidemiological compartmental model using multi-object
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e96be1719cbedeeb379f2655875d7169
https://doi.org/10.21203/rs.3.rs-32962/v1
https://doi.org/10.21203/rs.3.rs-32962/v1
Autor:
Osmar Pinto Neto, José Clark Reis, Ana Carolina Brisola Brizzi, Gustavo José Zambrano, Joabe Marcos de Souza, Wellington Amorim Pedroso, Rodrigo Cunha de Mello Pedreiro, Bruno de Matos Brizzi, Ellysson Oliveira Abinader, Deanna M. Kennedy, Renato Amaro Zângaro
An epidemiological compartmental model was used to simulate social distancing strategies to contain the COVID-19 pandemic and prevent a second wave in São Paulo, Brazil. Optimization using genetic algorithm was used to determine the optimal solution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b75dd59a358d67278f6922b45d2613a3
https://doi.org/10.1101/2020.04.26.20081208
https://doi.org/10.1101/2020.04.26.20081208