Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Population & Health Impact Surveillance Group, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Sci Data. 2023 Oct 23;10(1):736. doi: 10.1038/s41597-023-02651-9.
Travel time estimation accounting for on-the-ground realities between the location where a need for emergency obstetric care (EmOC) arises and the health facility capable of providing EmOC is essential for improving pregnancy outcomes. Current understanding of travel time to care is inadequate in many urban areas of Africa, where short distances obscure long travel times and travel times can vary by time of day and road conditions. Here, we describe a database of travel times to comprehensive EmOC facilities in the 15 most populated extended urban areas of Nigeria. The travel times from cells of approximately 0.6 × 0.6 km to facilities were derived from Google Maps Platform's internal Directions Application Programming Interface, which incorporates traffic considerations to provide closer-to-reality travel time estimates. Computations were done to the first, second and third nearest public or private facilities. Travel time for eight traffic scenarios (including peak and non-peak periods) and number of facilities within specific time thresholds were estimated. The database offers a plethora of opportunities for research and planning towards improving EmOC accessibility.
估算从紧急产科护理（EmOC）需求发生的地点到能够提供 EmOC 的医疗机构之间的实际地面交通时间对于改善妊娠结局至关重要。在非洲的许多城市地区，目前对交通时间的了解还不够充分，因为短距离掩盖了长的交通时间，而且交通时间可能因一天中的时间和路况而异。在这里，我们描述了尼日利亚 15 个人口最多的扩展城市地区综合 EmOC 设施的交通时间数据库。从大约 0.6×0.6 公里的单元格到设施的交通时间是从 Google Maps Platform 的内部 Directions Application Programming Interface 中得出的，该接口结合了交通因素，以提供更接近实际的交通时间估计。计算了到最近的第一、第二和第三家公立或私立机构的交通时间。估计了八种交通情况（包括高峰和非高峰时段）的交通时间和特定时间阈值内的设施数量。该数据库为研究和规划改善 EmOC 可及性提供了大量机会。
