activity
20072023
most citedEstimating within-school contact networks to understand influenza transmission

53 citations · 154 across the 7 of their papers we have counts for

collaborators

8 papers

q-bio.PE2023

Agent-based modeling of the COVID-19 pandemic in Florida

Alexander N. Pillai, Kok Ben Toh, Dianela Perdomo +5

The onset of the COVID-19 pandemic drove a widespread, often uncoordinated effort by research groups to develop mathematical models of SARS-CoV-2 to study its spread and inform con…

q-bio.PE2020

Inferring high-resolution human mixing patterns for disease modeling

Dina Mistry, Maria Litvinova, Ana Pastore y Piontti +12

Mathematical and computational modeling approaches are increasingly used as quantitative tools in the analysis and forecasting of infectious disease epidemics. The growing need for…

q-bio.QM2015★ 48 cited

Molecular Infectious Disease Epidemiology: Survival Analysis and Algorithms Linking Phylogenies to Transmission Trees

Eben Kenah, Tom Britton, M. Elizabeth Halloran +1

Recent work has attempted to use whole-genome sequence data from pathogens to reconstruct the transmission trees linking infectors and infectees in outbreaks. However, transmission…

stat.AP2014

Predictive Modeling of Cholera Outbreaks in Bangladesh

Amanda A. Koepke, Ira M. Longini, M. Elizabeth Halloran +2

Despite seasonal cholera outbreaks in Bangladesh, little is known about the relationship between environmental conditions and cholera cases. We seek to develop a predictive model f…

stat.AP2011★ 33 cited

Estimating within-household contact networks from egocentric data

Gail E. Potter, Mark S. Handcock, Ira M. Longini +1

Acute respiratory diseases are transmitted over networks of social contacts. Large-scale simulation models are used to predict epidemic dynamics and evaluate the impact of various…

stat.ME2011★ 53 cited

Estimating within-school contact networks to understand influenza transmission

Gail E. Potter, Mark S. Handcock, Ira M. Longini +1

Many epidemic models approximate social contact behavior by assuming random mixing within mixing groups (e.g., homes, schools and workplaces). The effect of more realistic social n…