Lessons from movement ecology for the return to work: Modeling contacts and the spread of COVID-19

Human behavior (movement, social contacts) plays a central role in the spread of pathogens like SARS-CoV-2. The rapid spread of SARS-CoV-2 was driven by global human movement, and initial lockdown measures aimed to localize movement and contact in order to slow spread. Thus, movement and contact patterns need to be explicitly considered when making reopening decisions, especially regarding return to work. Here, as a case study, we consider the initial stages of resuming research at a large research university, using approaches from movement ecology and contact network epidemiology. First, we develop a dynamical pathogen model describing movement between home and work; we show that limiting social contact, via reduced people or reduced time in the workplace are fairly equivalent strategies to slow pathogen spread. Second, we develop a model based on spatial contact patterns within a specific office and lab building on campus; we show that restricting on-campus activities to labs (rather ..., , README.txt: This text file contains readme and notes for all files. , # Lessons from movement ecology for the return to work: Modeling contacts and the spread of COVID-19

This dataset is from the paper titled \"Lessons from movement ecology for the return to work: modeling contacts and the spread of COVID-19\"

By: Allison K. Shaw, Lauren A. White, Matthew Michalska-Smith,
Elizabeth T. Borer, Meggan E. Craft, Eric W. Seabloom, Emilie Snell-Rood,
Michael Travisano

Published in: PLoS One

Contact [e-mail] for assistance.

The files included here are from the 'movement model' from the paper;
please see elsewhere for files for the 'network model' from the paper.

The following files are included:

(1) files_runcode.zip

MOVEMENT MODEL SIMULATION SCRIPTS

SEIR.m: Calculate instantaneous rate of change for susceptibles (S),
exposed (E), infected (I), and removed (R) in a simple SEIR
model with frequency-dependent transmission dynamics.

run_SEIR_spatial.m: runs simulations of a semi-spatial SIR model,
tracking the number...