Estimates of road traffic deaths in Tanzania. 2022

Leah Watetu Mbugua, and Sudeshna Mitra, and Kazuyuki Neki, and Hialy Gutierrez, and Ramshankar Balasubramaniyan, and Mercer Winer, and Jaeda Roberts, and Theo Vos, and Erin Hamilton, and Mohsen Naghavi, and James E Harrison, and Soames Job, and Kavi Bhalla
Global Road Safety Facility, World Bank, Washington, DC, USA.

There is considerable uncertainty in estimates of traffic deaths in many sub-Saharan African countries, with the Global Burden of Disease (GBD) and the Global Status Report on Road Safety (GSRRS) reporting widely differing estimates. As a case study, we reviewed and compared estimates for Tanzania. We estimated the incidence of traffic deaths and vehicle ownership in Tanzania from nationally representative surveys. We compared findings with GBD and GSRRS estimates. Traffic death estimates based on the 2012 census (9382 deaths; 95% CI: 7565 to 11 199) and the 2011-2014 Sample Vital Registration with Verbal Autopsy (8778; 95% CI: 7631 to 9925) were consistent with each other and were about halfway between GBD (5 608; 95% UI: 4506 to 7014) and WHO (16 252; 95% CI: 13 130 to 19 374) estimates and more than twice official statistics (3885 deaths in 2013). Surveys and vehicle registrations data show that motorcycles have increased rapidly since 2007 and now comprise 66% of vehicles. However, these trends are not reflected in GBD estimates of motorcycles in the country, likely resulting in an underestimation of motorcyclist deaths. Reducing discrepancies between GBD and GSRRS estimates and demonstrating consistency with local epidemiological data will increase the legitimacy of such estimates among national stakeholders. GBD, which is the only project that models the road-user distribution of traffic deaths in all countries, likely severely underestimates motorcycle deaths in countries where there has been a recent increase in motorcycles. Addressing police under-reporting and strengthening surveillance capacity in Tanzania will allow a better understanding of the road safety problem and better targeting of interventions.

UI MeSH Term Description Entries
D009049 Motorcycles Two-wheeled, engine-driven vehicles. Mopeds,Moped,Motorcycle
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000063 Accidents, Traffic Accidents on streets, roads, and highways involving drivers, passengers, pedestrians, or vehicles. Traffic accidents refer to AUTOMOBILES (passenger cars, buses, and trucks), BICYCLING, and MOTORCYCLES but not OFF-ROAD MOTOR VEHICLES; RAILROADS nor snowmobiles. Traffic Collisions,Traffic Crashes,Traffic Accidents,Accident, Traffic,Collision, Traffic,Collisions, Traffic,Crashes, Traffic,Traffic Accident,Traffic Collision
D000071219 Global Burden of Disease Use of various metrics to measure death and loss of health due to diseases, injuries and RISK FACTORS for all regions of the world. Global Disease Burden,Disease Burden, Global,Disease Global Burdens,Global Disease Burdens
D013636 Tanzania A republic in eastern Africa, south of UGANDA and north of MOZAMBIQUE. Its capital is Dar es Salaam. It was formed in 1964 by a merger of the countries of TANGANYIKA and ZANZIBAR. Tanganyika,Zanzibar,United Republic of Tanzania
D014943 Global Health A multi- and interdisciplinary field concerned with improving health and achieving equity in health for all people. It transcends national boundaries, promotes cooperation and collaboration within and beyond health science fields, and combines population-based disease prevention with individually-based patient care. International Health Problems,World Health,International Health,Worldwide Health,Health Problem, International,Health Problems, International,Health, Global,Health, International,Health, World,Health, Worldwide,Healths, International,International Health Problem,International Healths,Problem, International Health,Problems, International Health

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