activity
20182026
collaborators

5 papers

math.PR2026

Epidemics with avoidance and isolation on

Andrew Heeszel, Matthew Wascher

The contact process with avoidance is a generalization of the classical contact process (SIS epidemic) that introduces a mechanism for healthy individuals to avoid their infected n…

math.PR2025

The effects of individual versus community-influenced isolation on SIS epidemic persistence on finite random graphs

Shirshendu Chatterjee, David Sivakoff, Matthew Wascher

The contact process, or the SIS epidemic model, is a continuous-time Markov process used to model the spread of a recurring infection on a graph. Each vertex is either healthy or i…

stat.ME2023

Overcoming Repeated Testing Schedule Bias in Estimates of Disease Prevalence

Patrick M. Schnell, Matthew Wascher, Grzegorz A. Rempala

During the COVID-19 pandemic, many institutions such as universities and workplaces implemented testing regimens with every member of some population tested longitudinally, and tho…

q-bio.PE2022

Likelihood-Free Dynamical Survival Analysis Applied to the COVID-19 Epidemic in Ohio

Colin Klaus, Matthew Wascher, Wasiur R. KhudaBukhsh +1

The Dynamical Survival Analysis (DSA) is a framework for modeling epidemics based on mean field dynamics applied to individual (agent) level history of infection and recovery. Rece…

math.PR2018

The effect of avoiding known infected neighbors on the persistence of a recurring infection process

Shirshendu Chatterjee, David Sivakoff, Matthew Wascher

We study a generalization of the classical contact process (SIS epidemic model) in a directed graph . Our model is a continuous-time interacting particle system in which at ever…