利用GIS了解加纳艾滋病毒携带者(WLWH)的宫颈癌筛查行为

Alex Barimah Owusu, M. Asare, R. Owusu
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摘要

目的:利用地理智能系统研究宫颈癌筛查(CCS)设施的位置及其与艾滋病毒携带者(WLWH)居住地的接近程度,以及它们如何影响WLWH的CCS行为。方法:我们使用Komfo Anokye教学医院(KATH)在WLWH上确定的现有数据,并使用Google Earth Pro版本7.3.0将其地理编码为其居住地社区作为点。还获得了从KATH到筛选数据库中确定的社区的交通费用。KATH的位置从谷歌地球上数字化,并从加纳大学遥感和地理信息系统应用实验室的地理信息系统数据库中进行验证。我们从KATH计算了每个点之间的距离和其他接近信息。我们使用核密度的空间分析工具进行密度分析,并使用Esri的ArcGIS Desktop 10.8拟合光滑的锥形表面。我们采用Shapiro-Wilk正态分布检验来评估聚类的显著性。结果:分析了708名WLWH的居住地点和交通费用数据。我们在KATH附近发现了一个显著的聚类。近50%的受访者居住在距KATH 5公里范围内,而85.8%的受访者居住在距KATH 10.2公里范围内。Shapiro-Wilk正态性检验显示W=0.30221, p值< 0.05。每次商业运输的最低成本约为2.00 GHC(0.26美元),而居住在3-5公里以外的人将支付约3.00 GHC(0.39美元)。使用商业巴士最远距离的最高费用为50英镑。(约6.00美元)。大多数受访者将支付约10.00 GHC(约1.50美元)用于交通(即往返)访问SCC设施。结论:在一个家庭每天生活费低于2美元的经济体中,任何因交通而产生的额外成本都可能导致CCS犹豫不决,因此自我抽样可能是一种推荐的解决方案。
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Using GIS to Understand Cervical Cancer Screening Behaviors among Women Living with HIV (WLWH) in Ghana
Objective: This study used the Geographic Intelligent Systems to examine the location of cervical cancer screening (CCS) facilities and their proximity to the residential location of Women Living with HIV (WLWH) and how they could influence WLWH CCS behaviors. Methods: We used deidentified existing data from Komfo Anokye Teaching Hospital (KATH) on WLWH and geocoded them to their community of residence as points using Google Earth Pro version 7.3.0. Transport fares from KATH to communities identified in the screening database were also obtained. The location of KATH was digitized from google earth and validated from the GIS database from the Remote Sensing and GIS application Laboratory, University of Ghana. We calculated distances and other proximity information between each point from the KATH. We used the spatial-analytical tool of kernel density for the density analysis and fitted a smoothly tapered surface using Esri’s ArcGIS Desktop 10.8. We performed Shapiro-Wilk normal distribution test to assess the significance of the clustering. Results: Data on 708 WLWH’s residential locations and transportation fares were analyzed. We find a significant clustering near KATH. Close to 50% cluster within 5km from KATH whiles 85.8% of the respondents live within 10.2 km from KATH. Shapiro-Wilk normality test shows W=0.30221, p-value < 0.05. The minimum cost per commercial transportation is approximately GHC 2.00 (US dollar ~ $0.26 whiles those living beyond 3-5 km will pay approximately GHC 3.00 (~$0.39). The highest cost payable by the farthest distance using a commercial bus is GHC 50.00. (~$ 6.00). The majority of respondents will pay about GHC 10.00 (~$1.50) for transportation (i.e., round trip) to access SCC facilities. Conclusions: In an economy where a family lives on less than $2.00 per day, any additional cost resulting from transportation will likely create CCS hesitancy and that self-sampling may be a recommended solution.
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