Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Meriem Allali"'
Autor:
Otaolaurruchi, Pablo Repetto, Bertomeu, Manel Panisello, Hamman, Meriem Allali Ben, Muñoz, Cristina Arenas, Soto, Flor de María Álvarez, Borrero, Jose Vicente Ibarra, Alabau, Elisa Rodado, Moreno, Cinta Casanova
Publikováno v:
In Revista clinica espanola November 2023 223 Supplement 2:S784-S785
We propose a method to detect early-warning information in relation with subtle changes occurring in the trend of evolution in data time series of the COVID-19 epidemic spread (e.g. daily new cases). The method is simple and easy to implement on lapt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ab432ac9f4a4af72f2d9d82f14f5813
https://doi.org/10.1101/2020.05.29.20117333
https://doi.org/10.1101/2020.05.29.20117333
Using a stochastic epidemic model explicitly considering the entire population of Guadeloupe (1), we explore the domain of solutions presenting an efficient slowing down of the COVID-19 epidemic spread during the post-containment period. The consider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b9bc6ed8c0ea6aa76a7f777f2ed3ea1
https://doi.org/10.1101/2020.05.01.20088138
https://doi.org/10.1101/2020.05.01.20088138
Predictions on the time-evolution of the number of severe and critical cases of COVID-19 patients in Guadeloupe are presented. A stochastic model is purposely developed to explicitly account for the entire population (≃400000 inhabitants) of Guadel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3603f5d02f7d725e3d616108c3e482ba
https://doi.org/10.1101/2020.04.12.20063008
https://doi.org/10.1101/2020.04.12.20063008