RT Journal Article SR Electronic T1 Comparing estimates of road traffic deaths and non-fatal road traffic injuries in Cambodia JF Injury Prevention JO Inj Prev FD BMJ Publishing Group Ltd SP 340 OP 346 DO 10.1136/injuryprev-2021-044504 VO 28 IS 4 A1 Hialy Gutierrez A1 Sudeshna Mitra A1 Kazuyuki Neki A1 Leah Watetu Mbugua A1 Ramshankar Balasubramaniyan A1 Mercer Winer A1 Jaeda Roberts A1 Theo Vos A1 Erin Hamilton A1 Mohsen Naghavi A1 James E Harrison A1 R F Soames Job A1 Kavi Bhalla YR 2022 UL http://injuryprevention.bmj.com/content/28/4/340.abstract AB Introduction Timely, accurate and detailed information about traffic injuries are essential for managing national road safety programmes. However, there is considerable under-reporting in official statistics of many low and middle-income countries (LMICs) and large discrepancies between estimates from the Global Burden of Disease (GBD) study and WHO’s Global Health Estimates (GHE). We compared all sources of epidemiological information on traffic injuries in Cambodia to guide efforts to improve traffic injury statistics.Methods We estimated the incidence of traffic deaths and injuries and household ownership of motor vehicles in Cambodia from nationally representative surveys and censuses. We compared findings with GDB and GHE estimates.Results We identified seven sources for estimating traffic deaths and three for non-fatal injuries that are not included as data sources in GBD and GHE models. These sources and models suggest a fairly consistent estimate of approximately 3100 deaths annually, about 50% higher than official statistics, likely because most hospital deaths are not recorded. Surveys strongly suggest that the vehicle fleet is dominated by motorcycles, which is not consistent with GBD estimates that suggest similar numbers of motorcyclist and vehicle occupant deaths. Estimates of non-fatal injuries from health surveys were about 7.5 times official statistics and 1.5 times GBD estimates.Conclusion Including local epidemiological data sources from LMICs can help reduce uncertainty in estimates from global statistical models and build trust in estimates among local stakeholders. Such analysis should be used as a benchmark to assess and strengthen the completeness of reporting of the national surveillance system.Data may be obtained from a third party and are not publicly available. Survey and census datasets were obtained from the agencies that undertook data collection. Other researchers may obtain the datasets by requesting access from these agencies.