Identification

Name

EpiCast

Contact people
(1) Timothy Germann, Scientist, tcg@lanl.gov
Created

2014-05-06 21:47:40+00:00

Modified

2016-08-04 17:23:26.233630+00:00

Overview

Types
(1) Disease Dynamics
Overview

The software models the infectious disease spread throughout a spatially distributed population of individuals, each of who belongs to a variety of contact (mixing) groups in which person-to-person transmissions may occur. The time step resolution is 12 hours, so each individual has a set of daytime and nighttime contact groups, which may be geographically separated.

Question

How will the disease spread through a specified population and what is the effect of various mitigation strategies?

Purpose

Assessment

Scope

Disease and Location

Goals
(1) Consequence management
(2) Situational awareness
Decision support

Yes

Based on
Documents
(1) Document Germann TC, Kadau K, Longini Jr. IM, Mackenn CA: Mitigation strategies for Pandemic Influenza in… (2006)
Notes

Application

Diseases
(1) Influenza

Utility and readiness

Readiness

Study

Organizations
(1) Organization National Institute of General Medical Sciences (NIGMS)
Role Funding support
(2) Organization United States Department of Homeland Security (DHS)
Role Funding support
(3) Organization Los Alamos National Laboratory (LANL)
Role Developer
Independently tested

No

Compared to model

No

Compared to reality

Not Applicable

Verification & validation notes

Verified but not Validated

Sensitivity analysis

Yes

Uncertainty documented

No

Availability

Computational platform

Super computer

Implementation language

C

Developer contacted

Yes

Input

Input datasets
(1) Name Commuting patterns, work location and shift
Category Established Databases
Subject
URL www.bts.gov
Notes
(2) Name Demographics
Category Established Databases
Subject
URL www.census.gov/main/www/cen2000.html
Notes
(3) Name Disease natural history
Category Established Databases
Subject
URL
Notes