Zobrazeno 1 - 10
of 331
pro vyhledávání: '"Scarpino, Samuel"'
Autor:
Surasinghe, Sudam, Manivannan, Swathi Nachiar, Scarpino, Samuel V., Crawford, Lorin, Ogbunugafor, C. Brandon
Mathematical modelling has served a central role in studying how infectious disease transmission manifests at the population level. These models have demonstrated the importance of population-level factors like social network heterogeneity on structu
Externí odkaz:
http://arxiv.org/abs/2409.09096
Autor:
Klein, Brennan, Hartle, Harrison, Shrestha, Munik, Zenteno, Ana Cecilia, Cordera, David Barros Sierra, Nicolas-Carlock, José R., Bento, Ana I., Althouse, Benjamin M., Gutierrez, Bernardo, Escalera-Zamudio, Marina, Reyes-Sandoval, Arturo, Pybus, Oliver G., Vespignani, Alessandro, Diaz-Quiñonez, Jose Alberto, Scarpino, Samuel V., Kraemer, Moritz U. G.
During outbreaks of emerging infectious diseases, internationally connected cities often experience large and early outbreaks, while rural regions follow after some delay. This hierarchical structure of disease spread is influenced primarily by the m
Externí odkaz:
http://arxiv.org/abs/2301.13256
Autor:
Klein, Brennan, LaRock, Timothy, McCabe, Stefan, Torres, Leo, Friedland, Lisa, Kos, Maciej, Privitera, Filippo, Lake, Brennan, Kraemer, Moritz U. G., Brownstein, John S., Gonzalez, Richard, Lazer, David, Eliassi-Rad, Tina, Scarpino, Samuel V., Vespignani, Alessandro, Chinazzi, Matteo
The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and endogenous (spontaneous reaction to infection risks) origin. Here, we
Externí odkaz:
http://arxiv.org/abs/2212.08873
Network science has increasingly become central to the field of epidemiology and our ability to respond to infectious disease threats. However, many networks derived from modern datasets are not just large, but dense, with a high ratio of edges to no
Externí odkaz:
http://arxiv.org/abs/2111.02449
Autor:
Althouse, Benjamin M., Wallace, Brendan, Case, Brendan, Scarpino, Samuel V., Berdahl, Andrew M., White, Easton R., Hebert-Dufresne, Laurent
Controlling the spread of COVID-19 - even after a licensed vaccine is available - requires the effective use of non-pharmaceutical interventions: physical distancing, limits on group sizes, mask wearing, etc. To date, such interventions have neither
Externí odkaz:
http://arxiv.org/abs/2008.09629
Autor:
Althouse, Benjamin M., Wenger, Edward A., Miller, Joel C., Scarpino, Samuel V., Allard, Antoine, Hébert-Dufresne, Laurent, Hu, Hao
SARS-CoV-2 causing COVID-19 disease has moved rapidly around the globe, infecting millions and killing hundreds of thousands. The basic reproduction number, which has been widely used and misused to characterize the transmissibility of the virus, hid
Externí odkaz:
http://arxiv.org/abs/2005.13689
Autor:
Allard, Antoine, Moore, Cristopher, Scarpino, Samuel V., Althouse, Benjamin M., Hébert-Dufresne, Laurent
Most models of epidemic spread, including many designed specifically for COVID-19, implicitly assume mass-action contact patterns and undirected contact networks, meaning that the individuals most likely to spread the disease are also the most at ris
Externí odkaz:
http://arxiv.org/abs/2005.11283
Autor:
Oliver, Nuria, Letouzé, Emmanuel, Sterly, Harald, Delataille, Sébastien, De Nadai, Marco, Lepri, Bruno, Lambiotte, Renaud, Benjamins, Richard, Cattuto, Ciro, Colizza, Vittoria, de Cordes, Nicolas, Fraiberger, Samuel P., Koebe, Till, Lehmann, Sune, Murillo, Juan, Pentland, Alex, Pham, Phuong N, Pivetta, Frédéric, Salah, Albert Ali, Saramäki, Jari, Scarpino, Samuel V., Tizzoni, Michele, Verhulst, Stefaan, Vinck, Patrick
This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control the COVID-19 pandemic and in assessing the effectiveness of control measures such as physical distancing
Externí odkaz:
http://arxiv.org/abs/2003.12347
The basic reproductive number -- $R_0$ -- is one of the most common and most commonly misapplied numbers in public health. Although often used to compare outbreaks and forecast pandemic risk, this single number belies the complexity that two differen
Externí odkaz:
http://arxiv.org/abs/2002.04004
From fake news to innovative technologies, many contagions spread via a process of social reinforcement, where multiple exposures are distinct from prolonged exposure to a single source. Contrarily, biological agents such as Ebola or measles are typi
Externí odkaz:
http://arxiv.org/abs/1906.01147