Evidence map›Paper›PMID 37978483›Full record

ArticleBMC public health2023

Spatial and temporal analysis of road traffic crashes and ambulance responses in Lagos state, Nigeria.

Aina Olufemi Odusola, Dohyo Jeong, Chenchita Malolan, Dohyeong Kim, Chinmayee Venkatraman, Olusegun Kola-Korolo, Olajide Idris, Oluwole Olayemi Olaomi, Fiemu E Nwariaku

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Progress in Emergency Medicine in Nigeria: Where we are in 2025.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Aina Olufemi OdusolaDepartment of Community Health & Primary Health Care, Lagos State University Teaching Hospital, 1-5, Oba Akinjobi Road, Ikeja, Lagos, Nigeria. f.odusola@gmail.com.
Dohyo JeongSchool of Economic, Political, and Policy Science, University of Texas at Dallas, Richardson, TX, USA.
Chenchita MalolanDepartment of Surgery, Office of Global Health, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Dohyeong KimSchool of Economic, Political, and Policy Science, University of Texas at Dallas, Richardson, TX, USA.
Chinmayee VenkatramanDepartment of Surgery, Office of Global Health, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390, USA.
Olusegun Kola-KoroloLagos State Ministry of Health, Block 4, The Lagos State Government Secretariat Complex, Alausa, Lagos, Ikeja, Nigeria.
Olajide IdrisLagos State Ministry of Health, Block 4, The Lagos State Government Secretariat Complex, Alausa, Lagos, Ikeja, Nigeria.
Oluwole Olayemi OlaomiDepartment of Surgery, Central Business District, FCT, National Trauma Centre, National Hospital Abuja, Plot 321, Abuja, Nigeria.
Fiemu E NwariakuDepartment of Surgery, Center for Global Surgery, University of Utah, 30 N 1900 E, Salt Lake City, Utah, 3B110, USA.

Funding

Partnerships to Develop Injury Research Capacity in Sub-Saharan AfricaD43TW010463 · FIC · UT SOUTHWESTERN MEDICAL CENTER · PI IDRIS, AHAMED H, NWARIAKU, FIEMU E. · 2016 to 2021
$1.2M
FIC NIH HHS D43 TW010463NIH HHS 5D43TW010463-03
6 · The paper itself

Abstract

backgroundSub-Saharan African countries, Nigeria inclusive, are constrained by grossly limited access to quality pre-hospital trauma care services (PTCS). Findings from pragmatic approaches that explore spatial and temporal trends of past road crashes can inform novel interventions. To improve access to PTCS and reduce burden of road traffic injuries we explored geospatial trends of past emergency responses to road traffic crashes (RTCs) by Lagos State Ambulance Service (LASAMBUS), assessed efficiency of responses, and outcomes of interventions by local government areas (LGAs) of crash.

methodsUsing descriptive cross-sectional design and REDcap we explored pre-hospital care data of 1220 crash victims documented on LASAMBUS intervention forms from December 2017 to May 2018. We analyzed trends in days and times of calls, demographics of victims, locations of crashes and causes of delayed emergency responses. Assisted with STATA 16 and ArcGIS pro we conducted descriptive statistics and mapping of crash metrics including spatial and temporal relationships between times of the day, seasons of year, and crash LGA population density versus RTCs incidence. Descriptive analysis and mapping were used to assess relationships between 'Causes of Delayed response' and respective crash LGAs, and between Response Times and crash LGAs.

resultsIncidences of RTCs were highest across peak commuting hours (07:00-12:59 and 13:00-18:59), rainy season and harmattan (foggy) months, and densely populated LGAs. Five urban LGAs accounted for over half of RTCs distributions: Eti-Osa (14.7%), Ikeja (14.4%), Kosofe (9.9%), Ikorodu (9.7%), and Alimosho (6.6%). On intervention forms with a Cause of Delay, Traffic Congestion (60%), and Poor Description (17.8%), had associations with LGA distribution. Two densely populated urban LGAs, Agege and Apapa were significantly associated with Traffic Congestion as a Cause of Delay. LASAMBUS was able to address crash in only 502 (36.8%) of the 1220 interventions. Other notable outcomes include: No Crash (false calls) (26.6%), and Crash Already Addressed (22.17%).

conclusionsGeospatial analysis of past road crashes in Lagos state offered key insights into spatial and temporal trends of RTCs across LGAs, and identified operational constraints of state-organized PTCS and factors associated with delayed emergency responses. Findings can inform programmatic interventions to improve trauma care outcomes.

Indexed as

Accidents, TrafficAmbulancesCross-Sectional StudiesHumansNigeriaRisk FactorsGeospatial analysisLagos statePre-hospital careResource PlanningRoad crashesRoad traffic injuries

Identifiers

PMID37978483
PMCPMC10656774

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.