GIS-Based Spatial Analysis of Accident Hotspots: A Nigerian Case Study

This study identified high-risk locations (hotspots) using geographic information systems (GIS) and spatial analysis. Five years of accident data (2013–2017) for the Lokoja-Abuja-Kaduna highway in Nigeria were used. The accident concentration analysis was conducted using the mean center analysis and Kernel density estimation method. These locations were further verified using Moran’s I statistics (spatial autocorrelation) to determine their clustering with statistical significance. Fishnet polygon and network spatial weight matrix approaches of the Getis–Ord Gi* statistic were used in the hotspot analysis. Hotspots exist for 2013, 2014, and 2017 with a significance level between 95–99%. However, hotspots for 2015 and 2016 have a low significance level and the pattern is random. The spatial autocorrelation analysis of the overall accident locations and the Moran’s I statistic showed that the distribution of the accidents on the study route is random. Thus, preventive measures for hotspot locations should be based on a yearly hotspot analysis. The average daily traffic values of 31,270 and 16,303 were obtained for the northbound and southbound directions of the Abaji–Abuja section. The results show that hotspot locations with high confidence levels are at points where there are geometric features

GIS-Based Spatial Analysis of Accident Hotspots: A Nigerian Case Study

This study identified high-risk locations (hotspots) using geographic information systems (GIS) and spatial analysis. Five years of accident data (2013–2017) for the Lokoja-Abuja-Kaduna highway in Nigeria were used. The accident concentration analysis was conducted using the mean center analysis and Kernel density estimation method. These locations were further verified using Moran’s I statistics (spatial autocorrelation) to determine their clustering with statistical significance. Fishnet polygon and network spatial weight matrix approaches of the Getis–Ord Gi* statistic were used in the hotspot analysis. Hotspots exist for 2013, 2014, and 2017 with a significance level between 95–99%. However, hotspots for 2015 and 2016 have a low significance level and the pattern is random. The spatial autocorrelation analysis of the overall accident locations and the Moran’s I statistic showed that the distribution of the accidents on the study route is random. Thus, preventive measures for hotspot locations should be based on a yearly hotspot analysis. The average daily traffic values of 31,270 and 16,303 were obtained for the northbound and southbound directions of the Abaji–Abuja section. The results show that hotspot locations with high confidence levels are at points where there are geometric features

Patterns of drugs prescribed for dental outpatients in Nigeria: findings and implications.

There are concerns with inappropriate prescribing of medicines among dentists especially antimicrobials. It is more concerning if this increases resistance rates. This study aimed to address this by assessing patterns of drugs prescribed for outpatients attending a hospital dental clinic in Nigeria. The findings will be used to plan future interventions, particularly around antimicrobial prescribing, where there are concerns.Medical records of patients attending the dental clinic of a leading teaching hospital in Nigeria were evaluated. Patients referred for admission, without a prescription, or prescribed medicines without a documented diagnosis were excluded.Overall, 607 prescriptions were analysed, 314 (51.7%) were for females. Periodontal and gum diseases (414; 68.1%) were the most frequent diagnoses, followed by pulpitis (49; 8.2%), and dentoalveolar abscess (43; 7.1%). A total of 1798 medicines were prescribed for all patients with a mean of 3.0 ± 0.48 medicines per prescription. Antimicrobials (1178; 65.5%) and analgesics (620; 34.5%) were the two drug classes prescribed. Ascorbic acid and vitamin B complex were prescribed for 361 (59.5%) patients. Among antimicrobials, amoxicillin (564; 95.1%) either alone or combined with clavulanic acid was the most frequently prescribed, followed by metronidazole (561; 94.6%). Brand name prescribing was also appreciably higher than WHO recommendations.Polypharmacy, brand name prescriptions, and the frequent prescription of antimicrobials were common practices at the dental clinic of this teaching hospital in Nigeria. We suggest a review of the current standard treatment guidelines in Nigeria to guide dentists on current knowledge- and evidence-based treatment of common oral diseases