Using Traffic Data to Inform Transmission Dynamics for COVID-19 in Southern California

Suen, Sze-chuan; Dessouky, Maged; Zhang, Suyanpeng; Yu, Han; Nguyen, Anthony; METRANS Transportation Center (Calif.); Pacific Southwest Region 9 UTC, University of Southern California

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Using Traffic Data to Inform Transmission Dynamics for COVID-19 in Southern California

2021-09-01
By Suen, Sze-chuan ; Dessouky, Maged ; Zhang, Suyanpeng ; ...

[PDF-1.33 MB]

English

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Details:

Creators:

Suen, Sze-chuan ; Dessouky, Maged ; Zhang, Suyanpeng ; Yu, Han ; Nguyen, Anthony

Suen, Sze-chuan ; Dessouky, Maged ; Zhang, Suyanpeng ; Yu, Han ; Nguyen, Anthony Less -
Corporate Creators:

METRANS Transportation Center (Calif.) ; Pacific Southwest Region 9 UTC, University of Southern California

METRANS Transportation Center (Calif.) ; Pacific Southwest Region 9 UTC, University of Southern California Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Communicable Diseases Compartmental Model Computer Models COVID-19 Origin And Destination Traffic Flow
Publication/ Report Number:

PSR-20-SP95
Resource Type:

Tech Report
Geographical Coverage:

California ; Southern California ; United States

California ; Southern California ; United States Less -
Edition:

Final report (August 1, 2020-July 29,2021)
Corporate Publisher:

METRANS Transportation Center (Calif.)
Abstract:

Understanding COVID patterns for disease control means that we need to incorporate population flow in our modeling, as these trends influence disease transmission. We use ADMS traffic data to build a compartmental disease model of COVID-19. We draw on methodology from infectious disease models, traffic data, and facility location models together in a novel way, and to our knowledge, no prior work has leveraged such detailed traffic information over such a large urban area to inform disease control efforts.
Content Notes:

Project name: Identifying Priority Testing Locations in Southern California for COVID-19 With Transmission Dynamics and Network Data
Format:

PDF
Funding:

USDOT Grant 69A3551747109
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:927abeeb0f0983b1f72384d77f12895c74cd0b3ede279a37bf07e748a6bb6908
Download URL:

https://rosap.ntl.bts.gov/view/dot/67531/dot_67531_DS1.pdf
File Type:

No Additional Files

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Using Traffic Data to Inform Transmission Dynamics for COVID-19 in Southern California

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