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Improving the spatial accessibility of healthcare in North Kivu, Democratic of

机译:改善民主党的医疗保健的空间可访问性

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Accessibility to healthcare has a direct bearing on the overall well-being of the population. Poor access to healthcare has serious consequences particularly in low and low-middle income countries (LMIC) in sub-Saharan Africa. The lack of detailed and up-to-date spatial data and health information in these regions further challenges both the accurate assessment of spatial accessibility and the determination of optimal locations of healthcare facilities that would improve health service planning. In the present study, we proposed a systematic approach to assess the spatial accessibility to healthcare and to identify optimal locations for additional healthcare facilities based on the accessibility measures. Results from a raster-based accessibility measurement showed that majority of population could not reach the nearest hospitals within 2-hours; only 25%, 50%, and 44% of population reached the nearest hospital within 2-hours under walking, motor and, bus travel scenarios, respectively. Our results also showed that the five newly proposed hospitals whose optimal locations were determined using a location-allocation model could potentially increase 11.41%, 8.29%, and 8.95% of additional population coverage for the three travel scenarios. The proposed health system evaluation approach and the health care planning based on open-source data derived from remote sensing and crowdsourcing and the spatial modeling approach has the potential to be useful in LMIC to improve overall population health.
机译:对医疗保健的可访问性直接承担人口的整体福祉。较差的医疗保健机会在撒哈拉以南非洲的低中低收入国家(LMIC)中具有严重后果。这些地区缺乏详细和最新的空间数据和健康信息进一步挑战了对空间可访问性的准确评估和确定能够改善健康服务计划的医疗保健设施的最佳位置。在本研究中,我们提出了一种系统的方法来评估医疗保健的空间可访问性,并根据可访问性措施确定额外的医疗保健设施的最佳位置。基于光栅的无障碍测量结果表明,大多数人口在2小时内无法到达最近的医院;只有25%,50%和44%的人口分别在步行,电机和巴士旅行情景下的2小时内达到最近的医院。我们的研究结果还表明,使用位置分配模型确定最佳地点的五个新拟议的医院可能会增加三个旅行情景的11.41%,8.29%,8.95%的额外人口覆盖率。拟议的卫生系统评估方法和基于遥感和众包的开放源数据的医疗保健规划以及空间建模方法具有可用于改善整体人口健康的潜力。

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