Geospatial analysis of injury severity on major roads in Ghana (2017-2020): implications for targeted injury prevention and control initiatives.

Autor: Mesic A; Global Health, University of Washington, Seattle, Washington, USA amesic@uw.edu.; Primary Care and Public Health, Imperial College London, London, UK.; Global Injury Control Section, Harborview Injury Prevention & Research Center, Seattle, Washington, USA., Damsere-Derry J; Building and Road Research Institute, Kumasi, Ghana., Feldacker C; Global Health, University of Washington, Seattle, Washington, USA., Larley J; Building and Road Research Institute, Kumasi, Ghana., Opoku I; Building and Road Research Institute, Kumasi, Ghana., Wuaku DH; National Road Safety Authority, Accra, Ghana., Afram MO; National Road Safety Authority, Accra, Ghana., Ekuban E; Ghana Highway Authority, Accra, Ghana., Mooney SJ; Epidemiology, University of Washington, Seattle, Washington, USA., Gyedu A; Surgery, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.; Directorate of Surgery, Komfo Anokye Teaching Hospital, Kumasi, Ghana., Mock CN; Global Health, University of Washington, Seattle, Washington, USA.; Global Injury Control Section, Harborview Injury Prevention & Research Center, Seattle, Washington, USA.; Epidemiology, University of Washington, Seattle, Washington, USA.; Surgery, University of Washington, Seattle, Washington, USA., Kitali AE; Civil Engineering, University of Washington, Tacoma, Washington, USA., Wagenaar BH; Global Health, University of Washington, Seattle, Washington, USA., Osei-Ampofo M; Emergency Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana., Stewart BT; Global Injury Control Section, Harborview Injury Prevention & Research Center, Seattle, Washington, USA.; Surgery, University of Washington, Seattle, Washington, USA.

Publikováno v: Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention [Inj Prev] 2024 Aug 29. Date of Electronic Publication: 2024 Aug 29.

A comparative study of collision types between automated and conventional vehicles using Bayesian probabilistic inferences.

Autor: Novat N; Graduate Research Assistant, Cleveland State University, 2121 Euclid Avenue, Cleveland, OH 44115, United States. Electronic address: n.novatbaraba@vikes.csuohio.edu., Kidando E; Department of Civil and Environmental Engineering, Cleveland State University, 2121 Euclid Avenue, Cleveland, OH 44115, United States. Electronic address: e.kidando@csuohio.edu., Kutela B; Roadway Safety Program, Texas A&M Transportation Institute, 1111 RELLIS Parkway, Bryan, TX 77807, United States. Electronic address: b-kutela@tti.tamu.edu., Kitali AE; School of Engineering and Technology, University of Washington Tacoma, 1900 Commerce Street Tacoma, WA 98402-3100, United States. Electronic address: akitali@uw.edu.

Publikováno v: Journal of safety research [J Safety Res] 2023 Feb; Vol. 84, pp. 251-260. Date of Electronic Publication: 2022 Nov 10.

What are the leading causes of fatal and severe injury crashes involving older pedestrian? Evidence from Bayesian network model.

Autor: Lalika L; College of Computing, Engineering and Construction School of Engineering, University of North Florida, 1 UNF Drive, Jacksonville, FL 32224, United States. Electronic address: l.lalika@unf.edu., Kitali AE; Department of Civil and Environmental Engineering, Florida International University, 10555 West Flagler Street, EC 3720, Miami, FL 33174, United States. Electronic address: akita002@fiu.edu., Haule HJ; Department of Civil and Environmental Engineering, Florida International University, 10555 West Flagler Street, EC 3720, Miami, FL 33174, United States. Electronic address: hhaul001@fiu.edu., Kidando E; Department of Civil and Environmental Engineering, Cleveland State University, 2121 Euclid Avenue, Cleveland, OH 44115, United States. Electronic address: e.kidando@csuohio.edu., Sando T; College of Computing, Engineering, and Construction, School of Engineering, University of North Florida, 1 UNF Drive, Jacksonville, FL 32224, United States. Electronic address: t.sando@unf.edu., Alluri P; Department of Civil and Environmental Engineering, Florida International University, 10555 West Flagler Street, EC 3628, Miami, FL 33174, United States. Electronic address: palluri@fiu.edu.

Publikováno v: Journal of safety research [J Safety Res] 2022 Feb; Vol. 80, pp. 281-292. Date of Electronic Publication: 2021 Dec 23.

A before-after full bayes multivariate intervention model to estimate the safety effectiveness of red light cameras.

Autor: Kitali AE; Graduate Research Assistant Department of Civil and Environmental Engineering, Florida International University, Miami, Florida., Soto F; Transportation Engineer A&P Consulting Transportation Engineers, Corp, Doral, Florida., Alluri P; Department of Civil and Environmental Engineering, Florida International University, Miami, Florida., Raihan MA; Accident Research Institute (ARI) Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.

Publikováno v: Traffic injury prevention [Traffic Inj Prev] 2021; Vol. 22 (2), pp. 127-132. Date of Electronic Publication: 2021 Feb 10.

Prediction of vehicle occupants injury at signalized intersections using real-time traffic and signal data.

Autor: Kidando E; Mercer University, United States. Electronic address: kidando_ey@mercer.edu., Kitali AE; Department of Civil and Environmental Engineering, Florida International University, 10555 West Flagler Street, EC 3720, Miami, FL, 33174, United States. Electronic address: akita002@fiu.edu., Kutela B; Texas A&M Transportation Institute, United States. Electronic address: b-kutela@tti.tamu.edu., Ghorbanzadeh M; Florida State University, United States. Electronic address: mg17x@my.fsu.edu., Karaer A; Florida State University, United States. Electronic address: ak18k@my.fsu.edu., Koloushani M; Florida State University, United States. Electronic address: mk18h@my.fsu.edu., Moses R; Florida State University, United States. Electronic address: moses@eng.famu.fsu.edu., Ozguven EE; Florida State University, United States. Electronic address: eozguven@eng.famu.fsu.edu., Sando T; University of North Florida, United States. Electronic address: t.sando@unf.edu.

Publikováno v: Accident; analysis and prevention [Accid Anal Prev] 2021 Jan; Vol. 149, pp. 105869. Date of Electronic Publication: 2020 Nov 16.