Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Kristian Lindalen Stenerud"'
Autor:
Solveig Engebretsen, Alfonso Diz-Lois Palomares, Gunnar Rø, Anja Bråthen Kristoffersen, Jonas Christoffer Lindstrøm, Kenth Engø-Monsen, Meghana Kamineni, Louis Yat Hin Chan, Ørjan Dale, Jørgen Eriksson Midtbø, Kristian Lindalen Stenerud, Francesco Di Ruscio, Richard White, Arnoldo Frigessi, Birgitte Freiesleben de Blasio
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 1, p e1010860 (2023)
The COVID-19 pandemic is challenging nations with devastating health and economic consequences. The spread of the disease has revealed major geographical heterogeneity because of regionally varying individual behaviour and mobility patterns, unequal
Externí odkaz:
https://doaj.org/article/cbc789d59732425f860d7617c9e2a6b3
Autor:
Solveig Engebretsen, Kristian Lindalen Stenerud, Louis Yat Hin Chan, Francesco Di Ruscio, Anja Bråthen Kristoffersen, Jonas Christoffer Lindstrøm, Gunnar Rø, Richard A. White, Kenth Engø-Monsen, Ørjan Dale, Jørgen Eriksson Midtbø, Birgitte Freiesleben de Blasio, Alfonso Diz-Lois Palomares, Arnoldo Frigessi
Mathematical models and statistical inference are fundamental for surveillance and control of the COVID-19 pandemic. Several aspects cause regional heterogeneity in disease spread. Individual behaviour, mobility, viral variants and transmission vary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f659f010dfce4b45cb6084f2acd0225f
https://doi.org/10.1101/2021.10.25.21265166
https://doi.org/10.1101/2021.10.25.21265166
