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Title: Outside the Continental United States International Travel and Contagion Impact Quick Look Tool

Abstract

ABSTRACT This paper describes a tool that will allow public health analysts to estimate infectious disease risk at the country level as a function of different international transportation modes. The prototype focuses on a cholera epidemic originating within Latin America or the Caribbean, but it can be expanded to consider other pathogens as well. This effort leverages previous work in collaboration with the Centers for Disease Control and Prevention to develop the International Travel to Community Impact (IT-CI) model, which analyzes and assesses potential international disease outbreaks then estimates the associated impacts to U.S. communities and the nation as a whole and orient it for use Outside the Continental United States (OCONUS). For brevity, we refer to this refined model as OIT-CI. First, we developed an operationalized meta-population spatial cholera model for Latin America and the Caribbean at the secondary administrative-level boundary. Secondly, we developed a robust function of human airline critical to approximating mixing patterns in the meta- population model. In the prototype version currently presented here, OIT-CI models a cholera epidemic originating in a Latin American or Caribbean country and spreading via airline transportation routes. Disease spread is modeled at the country level using a patch model withmore » a connectivity function based on demographic, geospatial, and human transportation data. We have also identified data to estimate the water and health-related infrastructure capabilities of each country to include this potential impact on disease transmission.« less

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1111235
Report Number(s):
PNNL-SA-90188
400470000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: HealthGIS '12 Proceedings of the First ACM SIGSPATIAL International Workshop on Use of GIS in Public Health, November 6-9, 2012, Redondo Beach, California, 81-86
Country of Publication:
United States
Language:
English
Subject:
HealthGIS; Biosurveillance; Health Informatics; Spatio-temporal Modeling; Epidmiology; Public Health

Citation Formats

Corley, Courtney D., Lancaster, Mary J., Brigantic, Robert T., Kunkel, Brenda M., Muller, George, and McKenzie, Taylor K. Outside the Continental United States International Travel and Contagion Impact Quick Look Tool. United States: N. p., 2012. Web. doi:10.1145/2452516.2452533.
Corley, Courtney D., Lancaster, Mary J., Brigantic, Robert T., Kunkel, Brenda M., Muller, George, & McKenzie, Taylor K. Outside the Continental United States International Travel and Contagion Impact Quick Look Tool. United States. doi:10.1145/2452516.2452533.
Corley, Courtney D., Lancaster, Mary J., Brigantic, Robert T., Kunkel, Brenda M., Muller, George, and McKenzie, Taylor K. Fri . "Outside the Continental United States International Travel and Contagion Impact Quick Look Tool". United States. doi:10.1145/2452516.2452533.
@article{osti_1111235,
title = {Outside the Continental United States International Travel and Contagion Impact Quick Look Tool},
author = {Corley, Courtney D. and Lancaster, Mary J. and Brigantic, Robert T. and Kunkel, Brenda M. and Muller, George and McKenzie, Taylor K.},
abstractNote = {ABSTRACT This paper describes a tool that will allow public health analysts to estimate infectious disease risk at the country level as a function of different international transportation modes. The prototype focuses on a cholera epidemic originating within Latin America or the Caribbean, but it can be expanded to consider other pathogens as well. This effort leverages previous work in collaboration with the Centers for Disease Control and Prevention to develop the International Travel to Community Impact (IT-CI) model, which analyzes and assesses potential international disease outbreaks then estimates the associated impacts to U.S. communities and the nation as a whole and orient it for use Outside the Continental United States (OCONUS). For brevity, we refer to this refined model as OIT-CI. First, we developed an operationalized meta-population spatial cholera model for Latin America and the Caribbean at the secondary administrative-level boundary. Secondly, we developed a robust function of human airline critical to approximating mixing patterns in the meta- population model. In the prototype version currently presented here, OIT-CI models a cholera epidemic originating in a Latin American or Caribbean country and spreading via airline transportation routes. Disease spread is modeled at the country level using a patch model with a connectivity function based on demographic, geospatial, and human transportation data. We have also identified data to estimate the water and health-related infrastructure capabilities of each country to include this potential impact on disease transmission.},
doi = {10.1145/2452516.2452533},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {11}
}

Conference:
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