106 citations · 571 across the 20 of their papers we have counts for
21 papers
Deterministic construction of typical networks in network models
Narayan G. Sabhahit, Moritz Laber, Harrison Hartle +4
In network science, one often wants to say that a given real-world network appears to come from a particular network model. In statistical physics, the corresponding problem is abo…
Structural causal influence (SCI) captures the forces of social inequality in models of disease dynamics
Sudam Surasinghe, Swathi Nachiar Manivannan, Samuel V. Scarpino +2
Mathematical modeling has played a central role in understanding how infectious disease transmission manifests in populations. These models have demonstrated the importance of key…
Spatial scales of COVID-19 transmission in Mexico
Brennan Klein, Harrison Hartle, Munik Shrestha +13
During outbreaks of emerging infectious diseases, internationally connected cities often experience large and early outbreaks, while rural regions follow after some delay. This hie…
Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic
Brennan Klein, Timothy LaRock, Stefan McCabe +13
The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and…
Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation
Alexander M. Mercier, Samuel V. Scarpino, Cristopher Moore
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 da…
The unintended consequences of inconsistent pandemic control policies
Benjamin M. Althouse, Brendan Wallace, Brendan Case +4
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 gro…
Stochasticity and heterogeneity in the transmission dynamics of SARS-CoV-2
Benjamin M. Althouse, Edward A. Wenger, Joel C. Miller +4
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 u…
The role of directionality, heterogeneity and correlations in epidemic risk and spread
Antoine Allard, Cristopher Moore, Samuel V. Scarpino +2
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…
Mobile phone data and COVID-19: Missing an opportunity?
Nuria Oliver, Emmanuel Letouzé, Harald Sterly +21
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 asses…
Beyond : Heterogeneity in secondary infections and probabilistic epidemic forecasting
Laurent Hébert-Dufresne, Benjamin M. Althouse, Samuel V. Scarpino +1
The basic reproductive number -- -- is one of the most common and most commonly misapplied numbers in public health. Although often used to compare outbreaks and forecast pan…
Interacting contagions are indistinguishable from social reinforcement
Laurent Hébert-Dufresne, Samuel V. Scarpino, Jean-Gabriel Young
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 s…
Socioeconomic bias in influenza surveillance
Samuel V. Scarpino, James G. Scott, Rosalind M. Eggo +3
Individuals in low socioeconomic brackets are considered at-risk for developing influenza-related complications and often exhibit higher than average influenza-related hospitalizat…
The Interhospital Transfer Network for Very Low Birth Weight Infants in the United States
Munik Shrestha, Samuel V. Scarpino, Erika M. Edwards +2
Very low birth weight (VLBW) infants require specialized care in neonatal intensive care units. In the United States (U.S.), such infants frequently are transferred between hospita…
On the predictability of infectious disease outbreaks
Samuel V. Scarpino, Giovanni Petri
Infectious disease outbreaks recapitulate biology: they emerge from the multi-level interaction of hosts, pathogens, and their shared environment. As a result, predicting when, whe…
Asymmetric percolation drives a double transition in sexual contact networks
Antoine Allard, Benjamin M. Althouse, Samuel V. Scarpino +1
Zika virus (ZIKV) exhibits unique transmission dynamics in that it is concurrently spread by a mosquito vector and through sexual contact. We show that this sexual component of ZIK…
Prudent behaviour accelerates disease transmission
Samuel V. Scarpino, Antoine Allard, Laurent Hebert-Dufresne
Infectious diseases often spread faster near their peak than would be predicted given early data on transmission. Despite the commonality of this phenomena, there are no known gene…
A message-passing approach for recurrent-state epidemic models on networks
Munik Shrestha, Samuel V. Scarpino, Cristopher Moore
Epidemic processes are common out-of-equilibrium phenomena of broad interdisciplinary interest. Recently, dynamic message-passing (DMP) has been proposed as an efficient algorithm…
multiDimBio: An R Package for the Design, Analysis, and Visualization of Systems Biology Experiments
Samuel V. Scarpino, Ross Gillette, David Crews
The past decade has witnessed a dramatic increase in the size and scope of biological and behavioral experiments. These experiments are providing an unprecedented level of detail a…
Epidemiological consequences of an ineffective Bordetella pertussis vaccine
Benjamin M. Althouse, Samuel V. Scarpino
The recent increase in Bordetella pertussis incidence (whooping cough) presents a challenge to global health. Recent studies have called into question the effectiveness of acellula…
Robust estimation of inequality from binned incomes
Paul T. von Hippel, Samuel V. Scarpino, Igor Holas
Researchers must often estimate income inequality using data that give only the number of cases (e.g., families or households) whose incomes fall in "bins" such as 10,00…
Estimation with Binned Data
Paul T. von Hippel, Igor Holas, Samuel V. Scarpino
Variables such as household income are sometimes binned, so that we only know how many households fall in each of several bins such as 10,000-15,000, or $200,000+. We p…