The problem of maternal mortality is a recurring problem in Sub-Saharan Africa and the poorest population and residing away from health centers is the most affected. AccessMod is a computer program designed to help these countries examine the geographical aspect of their health system. And so to map the physical accessibility in terms of travel time to the health center. The accessibility map helps to guide decision-makers by showing them areas of low access, ie places where the population must walk to reach health facilities. Increasing accessibility in these places will at the same time improve maternal health.

The problem of maternal mortality is a recurring problem in Sub-Saharan Africa and the poorest population and residing away from health centers is the most affected. AccessMod is a computer program designed to help these countries examine the geographical aspect of their health system. And so to map the physical accessibility in terms of travel time to the health center. The accessibility map helps to guide decision-makers by showing them areas of low access, ie places where the population must walk to reach health facilities. Increasing accessibility in these places will at the same time improve maternal health.

The problem of maternal mortality is a recurring problem in Sub-Saharan Africa and the poorest population and residing away from health centers is the most affected. AccessMod is a computer program designed to help these countries examine the geographical aspect of their health system. And so to map the physical accessibility in terms of travel time to the health center. The accessibility map helps to guide decision-makers by showing them areas of low access, ie places where the population must walk to reach health facilities. Increasing accessibility in these places will at the same time improve maternal health.

The problem of maternal mortality is a recurring problem in Sub-Saharan Africa and the poorest population and residing away from health centers is the most affected. AccessMod is a computer program designed to help these countries examine the geographical aspect of their health system. And so to map the physical accessibility in terms of travel time to the health center. The accessibility map helps to guide decision-makers by showing them areas of low access, ie places where the population must walk to reach health facilities. Increasing accessibility in these places will at the same time improve maternal health.

This global accessibility map enumerates land-based travel time to the nearest densely-populated area for all areas between 85 degrees north and 60 degrees south for a nominal year 2015. Densely-populated areas are defined as contiguous areas with 1,500 or more inhabitants per square kilometre or a majority of built-up land cover types coincident with a population centre of at least 50,000 inhabitants. This map was produced through a collaboration between MAP (University of Oxford), Google, the European Union Joint Research Centre (JRC), and the University of Twente, Netherlands.The underlying datasets used to produce the map include roads (comprising the first ever global-scale use of Open Street Map and Google roads datasets), railways, rivers, lakes, oceans, topographic conditions (slope and elevation), landcover types, and national borders. These datasets were each allocated a speed or speeds of travel in terms of time to cross each pixel of that type. The datasets were then combined to produce a "friction surface"; a map where every pixel is allocated a nominal overall speed of travel based on the types occurring within that pixel. Least-cost-path algorithms (running in Google Earth Engine and, for high-latitude areas, in R) were used in conjunction with this friction surface to calculate the time of travel from all locations to the nearest (in time) city. The cities dataset used is the high-density-cover product created by the Global Human Settlement Project. Each pixel in the resultant accessibility map thus represents the modelled shortest time from that location to a city. Authors: D.J. Weiss, A. Nelson, H.S. Gibson, W. Temperley, S. Peedell, A. Lieber, M. Hancher, E. Poyart, S. Belchior, N. Fullman, B. Mappin, U. Dalrymple, J. Rozier, T.C.D. Lucas, R.E. Howes, L.S. Tusting, S.Y. Kang, E. Cameron, D. Bisanzio, K.E. Battle, S. Bhatt, and P.W. Gething. A global map of travel time to cities to assess inequalities in accessibility in 2015. (2018). Nature. doi:10.1038/nature25181 Processing notes: Data were processed from numerous sources including OpenStreetMap, Google Maps, Land Cover mapping, and others, to generate a global friction surface of average land-based travel speed. This accessibility surface was then derived from that friction surface via a least-cost-path algorithm finding at each location the closest point from global databases of population centres and densely-populated areas. Please see the associated publication for full details of the processing. Source: https://map.ox.ac.uk/research-project/accessibility_to_cities/