尼日利亚西南部的道路交通事故数据:来源,内容和管理方法的定性分析
Jude Ubaka Odinfono1, Moses Olaniran Olawole2
1Federal Road Safety Corps, Osogbo, Nigeria.
Traffic injury prevention
|October 15, 2024
概括
尼日利亚的道路交通事故数据收集是分散的,许多机构使用非标准化表格. 建议采用升级的数字数据管理系统,以提高数据质量和道路安全.
科学领域:
- 公共卫生 公共卫生
- 交通运输安全 运输安全
- 数据管理数据管理
背景情况:
- 有效的道路交通事故 (RTC) 数据系统对于实施道路安全倡议至关重要.
- 联合国道路安全十年行动计划强调需要强有力的数据收集和管理.
- 西南尼日利亚在当前的RTC数据处理流程中面临着挑战.
研究的目的:
- 质量检查尼日利亚西南部当前的道路交通事故数据收集和管理实践.
- 与国际标准相比,发现现有数据系统的缺陷.
- 为改善该地区的RTC数据管理提供建议.
主要方法:
- 与医院事故应急单位主任,联邦道路安全委员会 (FRSC) 部门指挥官和尼日利亚警察部队 (NPF) 专员进行了关键告密者采访.
- 采访数据被转录,分类,并使用内容分析和描述性统计数据进行分析.
- 数据元素与世界卫生组织 (WHO) 推的最低事故数据要求进行了比较.
主要成果:
- 在各个机构中发现了不一致的数据收集系统和缺乏协同作用.
- 目前的做法与世卫组织关于道路交通数据的建议之间存在重大差异.
- 55%的机构使用非标准化纸质表格,阻碍了数据的一致性.
- 最少的撞车数据元素不是由NPF,FRSC和医院一致捕获的.
结论:
- 提议升级国家道路交通事故数据管理系统 (NRTCDMS) 数据模板,以解决数据收集和链接问题.
- 为提高效率和标准化,建议使用拟议模板的数字版本.
- 实施标准化的数字数据收集对于改善尼日利亚的道路安全至关重要.
相关概念视频
Hypothesis Test for Test of Independence
3.5K
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
H0: The two variables (factors)...
3.5K
Determination of Expected Frequency
2.1K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.1K
Statistical Methods for Analyzing Epidemiological Data
312
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
312
Introduction to Test of Independence
2.2K
In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
2.2K
Design Example: Alignment of a Road Line Using GIS
43
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
43


