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Availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries

Dados Bibliográficos

ID21879745
AutoresSudeshna Mitra (0000-0002-5912-3086, World Bank), Kazuyuki Neki (0000-0003-4781-0978, World Bank), Leah Watetu Mbugua (0000-0002-6643-2813, World Bank), Hialy Gutierrez (Chicago Department of Public Health), Leen Bakdash (0009-0002-3954-2483, Chicago Department of Public Health), Mercer Winer (Chicago Department of Public Health), Ramshankar Balasubramaniyan (Chicago Department of Public Health), Jaeda Roberts (0000-0002-9241-466X, Chicago Department of Public Health), Theo Vos (0000-0002-5690-5365, Institute for Health Metrics and Evaluation), Erin Hamilton (Institute for Health Metrics and Evaluation, Seattle, Washington, USA), Erin B Hamilton (Institute for Health Metrics and Evaluation), Mohsen Naghavi (0000-0003-3691-1458, Institute for Health Metrics and Evaluation), James Harrison (0000-0001-9893-8491, Flinders University), James E Harrison (0000-0002-5648-146X, Flinders University), R F Soames Job (World Bank), Kavi Bhalla (0000-0002-6679-7820, Chicago Department of Public Health, autor correspondente)
Ano2021
Volume6
Fascículo11
Páginase007296
Data de publicação2021-11-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoBMJ Global Health (JOURNAL)
Identificadores do periódicoISSN: 2059-7908 • E-ISSN: 2059-7908
EditoraBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2021-007296
PMID34782357
OpenAlexW3214058708
IdiomaEN
Citações recebidas4
Referências citadas14

INTRODUCTION: Tracking progress towards Sustainable Development Goal (SDG) 3·6 of reducing traffic deaths and serious injuries poses a measurement challenge in most low-income and middle-income countries (LMICs) due to large discrepancies between reported official statistics and estimates from global health measurement studies. We assess the extent to which national population censuses and health surveys can fill the information gaps. METHODS: We reviewed questionnaires for nationally representative surveys and censuses conducted since 2000 in LMICs. We identified sources that provide estimates of household ownership of vehicles, incidence of traffic deaths and non-fatal injuries, and prevalence of disability. RESULTS: We identified 802 data sources from 132 LMICs. Sub-Saharan African countries accounted for 43% of all measurements. The number of measurements since 2000 was high, with 97% of the current global LMIC population having at least one measurement for vehicle ownership, 77% for deaths, 90% for non-fatal injuries and 50% for disability due to traffic injuries. Recent data (since 2010) on traffic injuries were available from far fewer countries (deaths: 21 countries; non-fatal injuries: 62 and disability: 12). However, there were many more countries with recent data on less-specific questions about unintentional or all injuries (deaths: 41 countries, non-fatal: 87, disability: 32). CONCLUSION: Traffic injuries are substantially underreported in official statistics of most LMICs. National surveys and censuses provide a viable alternative information source, but despite a large increase in their use to monitor SDGs, traffic injury measurements have not increased. We show that relatively small modifications and additions to questions in forthcoming surveys can provide countries with a way to benchmark their existing surveillance systems and result in a substantial increase in data for tracking road traffic injuries globally

Developing country · Economic growth · Economics · Environmental health · Geography · Injury prevention · Low and middle income countries · Occupational safety and health · Poison control · Population · Injury Epidemiology and Prevention · Medicine · Traffic and Road Safety · Urban Transport and Accessibility

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Obras citantes distintas4
Citações por ano1
Intervalo de citações2022 - 2026 (5)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 3
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