Zobrazeno 1 - 10
of 20
pro vyhledávání: '"David Medina-Ortiz"'
Autor:
Karen Y. Oróstica, Sebastian B. Mohr, Jonas Dehning, Simon Bauer, David Medina-Ortiz, Emil N. Iftekhar, Karen Mujica, Paulo C. Covarrubias, Soledad Ulloa, Andrés E. Castillo, Anamaría Daza-Sánchez, Ricardo A. Verdugo, Jorge Fernández, Álvaro Olivera-Nappa, Viola Priesemann, Seba Contreras
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Genomic surveillance (GS) programmes were crucial in identifying and quantifying the mutating patterns of SARS-CoV-2 during the COVID-19 pandemic. In this work, we develop a Bayesian framework to quantify the relative transmissibility of dif
Externí odkaz:
https://doaj.org/article/e6f2e7c4123f42b7b73aef249bd28c4a
Autor:
Lindybeth Sarmiento Varón, Jorge González-Puelma, David Medina-Ortiz, Jacqueline Aldridge, Diego Alvarez-Saravia, Roberto Uribe-Paredes, Marcelo A. Navarrete
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
The ongoing COVID-19 pandemic is arguably one of the most challenging health crises in modern times. The development of effective strategies to control the spread of SARS-CoV-2 were major goals for governments and policy makers. Mathematical modeling
Externí odkaz:
https://doaj.org/article/e3ec3bef3c4d4893bd741a9182edb809
Autor:
David Medina-Ortiz, Sebastian Contreras, Juan Amado-Hinojosa, Jorge Torres-Almonacid, Juan A. Asenjo, Marcelo Navarrete, Álvaro Olivera-Nappa
Publikováno v:
Frontiers in Molecular Biosciences, Vol 9 (2022)
Computational methods in protein engineering often require encoding amino acid sequences, i.e., converting them into numeric arrays. Physicochemical properties are a typical choice to define encoders, where we replace each amino acid by its value for
Externí odkaz:
https://doaj.org/article/8dd94a5127684fe4a9bf15f92f81a0e3
Autor:
Álvaro Olivera-Nappa, Sebastian Contreras, María Florencia Tevy, David Medina-Ortiz, Andrés Leschot, Pilar Vigil, Carlos Conca
Publikováno v:
Frontiers in Nutrition, Vol 9 (2022)
A growing body of evidence indicates that dietary polyphenols could be used as an early intervention to treat glucose-insulin (G-I) dysregulation. However, studies report heterogeneous information, and the targets of the intervention remain largely e
Externí odkaz:
https://doaj.org/article/864e8f5d8d964e07b79ddfb8278f1d8a
Autor:
Sebastián Contreras, H. Andrés Villavicencio, David Medina-Ortiz, Claudia P. Saavedra, Álvaro Olivera-Nappa
Publikováno v:
Frontiers in Public Health, Vol 8 (2020)
In the absence of a consensus protocol to slow down the spread of SARS-CoV-2, policymakers need real-time indicators to support decisions in public health matters. The Effective Reproduction Number (Rt) represents the number of secondary infections g
Externí odkaz:
https://doaj.org/article/67b397e3c8764500ba1b86e6b8ccb0a7
Autor:
David Medina-Ortiz, Sebastián Contreras, Yasna Barrera-Saavedra, Gabriel Cabas-Mora, Álvaro Olivera-Nappa
Publikováno v:
Frontiers in Physics, Vol 8 (2020)
Due to the particularities of SARS-CoV-2, public health policies have played a crucial role in the control of the COVID-19 pandemic. Epidemiological parameters for assessing the stage of the outbreak, such as the Effective Reproduction Number (Rt), a
Externí odkaz:
https://doaj.org/article/1901d82bffd946318da8f170eca84e7c
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Existing mathematical models for the glucose-insulin (G-I) dynamics often involve variables that are not susceptible to direct measurement. Standard clinical tests for measuring G-I levels for diagnosing potential diseases are simple and relatively c
Externí odkaz:
https://doaj.org/article/456c7693f3d34fcf804087e324346b01
Publikováno v:
Frontiers in Molecular Biosciences, Vol 7 (2020)
In highly non-linear datasets, attributes or features do not allow readily finding visual patterns for identifying common underlying behaviors. Therefore, it is not possible to achieve classification or regression using linear or mildly non-linear hy
Externí odkaz:
https://doaj.org/article/7c395d3c1282410184cfc9aa5d9572de
Autor:
Sebastian Contreras, Karen Y. Oróstica, Anamaria Daza-Sanchez, Joel Wagner, Philipp Dönges, David Medina-Ortiz, Matias Jara, Ricardo Verdugo, Carlos Conca, Viola Priesemann, Álvaro Olivera-Nappa
Genomic surveillance of infectious diseases allows monitoring circulating and emerging variants and quantifying their epidemic potential. However, due to the high costs associated with genomic sequencing, only a limited number of samples can be analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e40f30c188f022ad8f5269b35f607b64
Publikováno v:
Modeling, Control and Drug Development for COVID-19 Outbreak Prevention ISBN: 9783030728335
In this chapter, we aim to provide a biological, statistical, and mathematical framework to understand and formulate sensible models to study the spreading dynamics of COVID-19. First, we discuss the epidemiological and clinical features that make CO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::026bf33836af9460a359fcd73b782455
https://doi.org/10.1007/978-3-030-72834-2_9
https://doi.org/10.1007/978-3-030-72834-2_9