A geospatial database of close-to-reality travel times to obstetric emergency care in 15 Nigerian conurbations
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 …
need for emergency obstetric care (EmOC) arises and the health facility capable of providing …
Revealed versus potential spatial accessibility of healthcare and changing patterns during the COVID-19 pandemic
Background Timely access to healthcare is essential but measuring access is challenging.
Prior research focused on analyzing potential travel times to healthcare under optimal …
Prior research focused on analyzing potential travel times to healthcare under optimal …
Geographical accessibility to functional emergency obstetric care facilities in urban Nigeria using closer-to-reality travel time estimates: a population-based spatial …
Background Better accessibility for emergency obstetric care facilities can substantially
reduce maternal and perinatal deaths. However, pregnant women and girls living in urban …
reduce maternal and perinatal deaths. However, pregnant women and girls living in urban …
[HTML][HTML] Estimating geographic access to healthcare facilities in Sub-Saharan Africa by Degree of Urbanisation
Measuring rates of coverage and spatial access to healthcare services is essential to inform
policies for development. These rates tend to reflect the urban-rural divide, typically with …
policies for development. These rates tend to reflect the urban-rural divide, typically with …
From Regression to Classification: Fuzzy Multikernel Subspace Learning for Robust Prediction and Drug Screening
T Quan, Y Yuan, Y Luo, Y Song… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Data-driven machine learning is increasingly involved in human life and industrial
development due to its large-scale testing and low time cost. However, existing learning …
development due to its large-scale testing and low time cost. However, existing learning …
High-resolution estimates of social distancing feasibility, mapped for urban areas in sub-Saharan Africa
Social distancing has been widely-implemented as a public health measure during the
COVID-19 pandemic. Despite widespread application of social distancing guidance, the …
COVID-19 pandemic. Despite widespread application of social distancing guidance, the …
Socio-spatial equity analysis of relative wealth index and emergency obstetric care accessibility in urban Nigeria
Background Better geographical accessibility to comprehensive emergency obstetric care
(CEmOC) facilities can significantly improve pregnancy outcomes. However, with other …
(CEmOC) facilities can significantly improve pregnancy outcomes. However, with other …
A geospatial analysis of accessibility and availability to implement the primary healthcare roadmap in Ethiopia
Background Primary healthcare (PHC) is a crucial strategy for achieving universal health
coverage. Ethiopia is working to improve its primary healthcare system through the …
coverage. Ethiopia is working to improve its primary healthcare system through the …
[HTML][HTML] Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data
Accurate and up-to-date mapping of the human population is fundamental for a wide range
of disciplines, from effective governance and establishing policies to disaster management …
of disciplines, from effective governance and establishing policies to disaster management …
Travel time to cataract surgical services in Kenya, Malawi and Rwanda: demonstrating a standardised indicator of physical access to cataract surgery
Background Travel time can be used to assess health services accessibility by reflecting the
proximity of services to the people they serve. We aimed to demonstrate an indicator of …
proximity of services to the people they serve. We aimed to demonstrate an indicator of …