publications | Collin J. Schwantes

2024

Database of author demographics of scientific publications at EcoHealth Alliance

Sanchez Cecilia, Collin Schwantes, Shannon Ball, and 4 more authors

2024

2023

EHA Modeling & Analytics Handbook

Collin Schwantes, Noam Ross, Alix Augusto Armero Villanueva, and 6 more authors

2023

2022

Working Group on NIH DMSP Guidance

Levi Dolan, Lucy Carr Jones, Barrie Hayes, and 26 more authors

2022

2021

Methods in Constrained Community Detection: An Integer Optimization Model and Heuristic Approach for Cohort Creation

Danielle Heymann, Collin Schwantes, Viveca Pavon-Harr, and 1 more author

In 2021 Eighth International Conference on Social Network Analysis, Management and Security (SNAMS), Dec 2021
"Integrating COVID Models at Different Scales for Infection Risk Estimation and Control Optimization"

Collin J. Schwantes, Benno Lee, Benjamin Ortiz, and 2 more authors

In , Jan 2021

Abs

SARS-COV-2 infections result from interactions at fine spatial and temporal scales; however, case clusters occur within a larger scale epidemiological context. Appropriately integrating the interactions between processes that occur across spatial and temporal scales is essential for simulating systems of disease transmission and understanding infection risk. Here we present a simulation engine that places a fine scale network based infection model within the broader epidemiological context of the study population. Using this system, we are able to simulate seeding events and fully explore the control strategy space. Our simulation engine can integrate a spatially explicit COVID-19 case estimation technique at the county scale with institution level disease transmission at a “building” scale. The case estimation technique takes into account location specific factors around infection control and population level movement to estimate disease burden in a given location. The institution level model uses a multigraph to integrate social and spatial contact networks under various hazard reduction strategies at two different time scales. This allows us to model individual level interactions in the local context of the COVID-19 pandemic, opening a closed system to external forces. Our model provides realistic estimates of SARS-COV-2 outbreaks and the ability to discover novel control strategies. By integrating models at multiple scales, our simulation engine empowers decision makers to develop location specific preparedness policies based on realistic estimates of how SARS-COV-2 will spread through their institutions.

2019

A new state record of the rare bee, Cemolobus ipomoeae (Hymenoptera, Apidae), from Colorado, USA

Adrian L Carper, Collin J Schwantes, and Mary A Jamieson

Journal of the Kansas Entomological Society, Jan 2019

2018

NBIC Biofeeds: Deploying a New, Digital Tool for Open Source Biosurveillance across Federal Agencies

Heather Baker, Asher Grady, Collin Schwantes, and 7 more authors

Online Journal of Public Health Informatics, Jan 2018
NBIC Collaboration at Multiple Jurisdictional Levels During the Zika Epidemic

Emily Iarocci, Collin Schwantes, Anne Folley, and 3 more authors

Online Journal of Public Health Informatics, Jan 2018
Solitary floral specialists do not respond to cryptic flower-occupying predators

Collin J Schwantes, Adrian L Carper, and M Deane Bowers

Journal of Insect Behavior, Jan 2018

2017

An online photographic catalog of primary types of Platygastroidea (Hymenoptera) in the National Museum of Natural History, Smithsonian Institution

Elijah J Talamas, Joseph Thompson, Amy Cutler, and 8 more authors

Journal of Hymenoptera Research, Jan 2017
Exploring variation in local and landscape factors driving grassland bee communities in Colorado

Adrian L Carper, Collin J Schwantes, Stacy B Endriss, and 3 more authors

In 2017 ESA Annual Meeting (August 6–11), Jan 2017

2015

Investigating the impacts of deterministic forces on bees in human modified environments

Collin Jon Schwantes

University of Colorado at Boulder, Jan 2015