9 research outputs found

    Analysis of Traffic Congestion on Lagos/Abeokuta Expressway-Agege Motorway in Lagos Metropolis

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    Traffic congestion is one of the most persistent problems facing road users and urban planners, across the world and Lagos is not an exception. This study analysed traffic congestion along the Lagos/Abeokuta expressway-Agege motorway in Lagos metropolis. It explored the volume of vehicular traffic (VVT) along the road corridor, conducted a road network analysis, and investigated the causative factors of traffic congestion on the road corridor. Traffic count data of vehicles plying the road between 7 a.m.-8 p.m. was obtained from Lagos Metropolitan Area Transport Authority (LAMATA) to aid the assessment of VVT. Graph theory-based network index was used in determining road connectivity level, and a cross sectional survey of 384 commuters was conducted to obtain information on traffic congestion along the road corridor. Results of the analysis indicated that the VVT is higher at Ikeja (27.4%) than other locations such as (Alimosho 21.5%, Oshodi 16.2%, etc.). Road network analysis showed high connectivity of Lagos/Abeokuta expressway-Agege motorway with gamma, alpha, and beta indexes (0.8, 0.83 & 2.67) respectively, indicating that road connectivity is not a cause of congestion on the corridor. However, the causative factors of traffic congestion include; overdependence on road, shortage of traffic light, insufficient number of traffic warden, and disobeying of traffic laws (p < 0.05). In conclusion, overdependence on road is the major cause of congestion in the metropolis. Thus, there is an urgent need to improve alternative transport modes in the Lagos metropolis. Keywords: traffic congestion, road network analysis, overdependence on roa

    Online support: Impact on anxiety in women who experience an abnormal screening mammogram

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    OBJECTIVES: To determine whether an online support tool can impact anxiety in women experiencing an abnormal mammogram. MATERIALS AND METHODS: We developed an online support system using the Comprehensive Health Enhancement Support System (CHESS) designed for women experiencing an abnormal mammogram as a model. Our trial randomized 130 of these women to online support (the intervention group) or to a list of five commonly used Internet sites (the comparison group). Surveys assessed anxiety and breast cancer worry, and patient satisfaction at three important clinical time points: when women were notified of their abnormal mammogram, at the time of diagnostic imaging, and at the time of biopsy (if biopsy was recommended). RESULTS: Study participants in the intervention group showed a significant decrease in anxiety at the time of biopsy compared to the comparison group (p=0.017). However, there was no significant difference in anxiety between the intervention group and the comparison group at the time of diagnostic work-up. We discontinued assessment of patient satisfaction after finding that many women had substantial difficulty answering the questions that referenced their physician, because they did not understand who their physician was for this process of care. CONCLUSION: The combination of the inability to identify the physician providing care during the mammography work-up and anxiety effects seen only after an interaction with the breast imaging team may indicate that online support only decreases the anxiety of women in concert with direct interpersonal support from the healthcare team
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