1. K-State home
  2. »Network Science and Engineering Group
  3. »NetSE Projects
  4. »Network Science Projects
  5. »Disease modeling for risk analysis of ASF/CSF in targeted areas

Network Science and Engineering Group

Contact us

3108 Engineering Hall
1701D Platt St.
Manhattan, KS 66506
785-532-5600
Fax: 785-532-1188

Hours: 8 am-12pm, 1pm-5pm M-F

Disease modeling for risk analysis of NBAF-targeted animal disease agents

The goal of this project is to develop data-driven spatial and temporal models for the spreading of ASFV, CSFV and RVF perform simulations in specific regions of US around the points at highest risk of introduction. We enhance the Generalized Epidemic Mean Field (GEMF) model so that it can efficiently and semi-automatically model ASFV, CSFV and RVF outbreaks by developing and implementing 1) a stochastic, spatial, network-based simulation tool with spatiotemporal granularity appropriate to the available data and the targeted area, 2) methods for the estimation of time-varying parameters and their optimization, 3) statistically rigorous approaches for stochastic simulations in the presence of time-varying parameters.

Duration: Jan 1, 2018 -


Investigators

Faculty and Scholar

Caterina Scoglio (Google Profile) (PI)

PhD Student

Tanvir Ferdousi

Sifat Afroj Moon


Products

Publications

Moon SA, Ferdousi T, Self A, Scoglio C. Estimation of swine movement network at farm level in the US from the Census of Agriculture data. bioRxiv. 2018 Jan 1:488767. (Accepted in the Scientific Reports)

T. Ferdousi, S. A. Moon, C. Scoglio, "Risk analysis of ASFV outbreak on model generated swine movement network in the US". [Submitted]