Transportation as a Disease Vector – A Modeling Approach

Transportation plays a major role in the global spread of disease. It increases the range of movement and the spatial diversity of the infected and exposed individuals, and in the case of public transportation, forces people into prolonged contact in a confined, closed environment. Public transportation vehicles and infrastructure can also facilitate the indirect transmission of pathogens. This study extends traditional epidemiological models by specifically addressing the indirect disease transmission mechanism in the transportation context, by addressing infections that occur when vulnerable people become infected through contact with fomites. A stochastic agent-based modeling approach that models' infections due to local person-to-person and person-to-vehicle interactions was used in this study to assess the potential impact of policies such as vehicle disinfection or social distancing.

• Record URL:
  https://www.carteeh.org/transportation-as-a-disease-vector-a-modeling-approach/

Language

• English

Project

• Status: Active
• Funding: $25000
• Contract Numbers:

  69A3551747128

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Center for Advanced Researchh in Transportation Emissionss, Energy and Health

  Texas A&M Transportation Instiitute
  College Station, Texas  United States  77843
• Project Managers:

  Sanchez, Kristen

• Performing Organizations:

  Texas Transportation Institute

  Texas A&M University System
  3135 TAMU
  College Station, TX  United States  77843-3135
• Principal Investigators:

  Zietsman, Josias

• Start Date: 20200301
• Expected Completion Date: 20210331
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers
• Source Data: 04-35-TTI

Subject/Index Terms

• TRT Terms: Communicable diseases; Disinfectants; Epidemiology; Infrastructure; Management and organization; Mathematical models; Policy; Public health; Public transit; Stochastic programming; Vehicles and equipment
• Subject Areas: Passenger Transportation; Planning and Forecasting; Policy; Public Transportation; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01762553
• Record Type: Research project
• Source Agency: Center for Advancing Research in Transportation Emissions, Energy, and Health
• Contract Numbers: 69A3551747128
• Files: UTC, RIP
• Created Date: Jan 14 2021 9:16AM