Using parallel geocoding to analyse the spatial characteristics of road traffic injury occurrences across Lagos, Nigeria
Bibliographic Data
| ID | 21880661 |
|---|---|
| Authors | Avirut Mehta (The University of Texas at Dallas), Dohyeong Kim (0000-0002-1428-1451, The University of Texas at Dallas, corresponding author), Nicholas Allo (Visual Earth Group, London, UK), Aina Olufemi Odusola (Lagos State Health Service Commission), Chenchita Malolan (The University of Texas Southwestern Medical Center), Fiemu E Nwariaku (University of Utah) |
| Year | 2023 |
| Volume | 8 |
| Issue | 5 |
| Pages | e012315 |
| Publication date | 2023-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMJ Global Health (JOURNAL) |
| Journal identifiers | ISSN: 2059-7908 • E-ISSN: 2059-7908 |
| Publisher | BMJ (PUBLISHER • GB) |
| DOI | 10.1136/bmjgh-2023-012315 |
| PMID | 37217236 |
| OpenAlex | W4377291588 |
| Language | EN |
| References cited | 29 |
While efforts to understand and mitigate road traffic injury (RTI) occurrence have long been underway in high-income countries, similar projects in low/middle-income countries (LMICs) are frequently hindered by institutional and informational obstacles. Technological advances in geospatial analysis provide a pathway to overcome a subset of these barriers, and in doing so enable researchers to create actionable insights in the pursuit of mitigating RTI-associated negative health outcomes. This analysis develops a parallel geocoding workflow to improve investigation of low-fidelity datasets common in LMICs. Subsequently, this workflow is applied to and evaluated on an RTI dataset from Lagos State, Nigeria, minimising positional error in geocoding by incorporating outputs from four commercially available geocoders. The concordance between outputs from these geocoders is evaluated, and spatial visualisations are generated to provide insight into the distribution of RTI occurrence within the analysis region. This study highlights the implications of geospatial data analysis in LMICs facilitated by modern technologies on health resource allocation, and ultimately, patient outcomes
Cartography · Data science · Database · Developing country · Economic growth · Fidelity · Geocoding · Geographic information system · Geography · Geospatial analysis · Low and middle income countries · Transport engineering · Workflow · Air Quality and Health Impacts · Computer Science · Engineering · Traffic and Road Safety · Urban Transport and Accessibility
| Highly cited | No |
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