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Mohammadali Tofighi

Biographic Data

ID7942930
NAMEMohammadali Tofighi
GIVEN NAMESMohammadali
FAMILY NAMETofighi
SIGNATURETOFIGHI M
AFFILIATIONSYork University
ORCID0000-0001-9574-7614
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Lessons learnt from roadside collisions

    Open Access•Mohammadali Tofighi, Ali Asgary et al.•ARTICLE•The Police Journal Theory…•2025

    This study explores roadside collision risks among Canadian police officers, investigating concerns, contributing factors, training, and technology adoption. A survey of 59 officers on traffic-related assignments reveals that 19 officers experienced at least one real collision (30 real collisions in total), and all of them experienced at least one near-miss collision (136 near miss collisions in total) during their services. In 86% of all collisi…

  • Modeling Covid-19 Outbreaks in Long-Term Care Facilities Using an Agent-Based Modeling and Simulation Approach

    Open Access•Ali Asgary, Hudson Blue et al.•ARTICLE•International Journal of…•2022

    The elderly, especially those individuals with pre-existing health problems, have been disproportionally at a higher risk during the COVID-19 pandemic. Residents of long-term care facilities have been gravely affected by the pandemic and resident death numbers have been far above those of the general population. To better understand how infectious diseases such as COVID-19 can spread through long-term care facilities, we developed an agent-based …

No prominent works on this page.

  • Modeling Covid-19 Outbreaks in Long-Term Care Facilities Using an Agent-Based Modeling and Simulation Approach

    Open Access•Ali Asgary, Hudson Blue et al.•ARTICLE•International Journal of…•2022

    The elderly, especially those individuals with pre-existing health problems, have been disproportionally at a higher risk during the COVID-19 pandemic. Residents of long-term care facilities have been gravely affected by the pandemic and resident death numbers have been far above those of the general population. To better understand how infectious diseases such as COVID-19 can spread through long-term care facilities, we developed an agent-based …

  • Lessons learnt from roadside collisions

    Open Access•Mohammadali Tofighi, Ali Asgary et al.•ARTICLE•The Police Journal Theory…•2025

    This study explores roadside collision risks among Canadian police officers, investigating concerns, contributing factors, training, and technology adoption. A survey of 59 officers on traffic-related assignments reveals that 19 officers experienced at least one real collision (30 real collisions in total), and all of them experienced at least one near-miss collision (136 near miss collisions in total) during their services. In 86% of all collisi…

Computer Science (2 works) · 2019-20 coronavirus outbreak (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Betacoronavirus (1 work) · Collision (1 work) · Computer security (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · Engineering (1 work) · Geography (1 work)

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