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Global maps of travel time to healthcare facilities

Weiss, D. J., Nelson, A., Vargas-Ruiz, C. A., Gligorić, K., Bavadekar, S., Gabrilovich, E., Bertozzi-Villa, A., Rozier, J., Gibson, H. S., Shekel, T., Kamath, C., Lieber, A., Schulman, K., Shao, Y., Qarkaxhija, V., Nandi, A. K., Keddie, S. H., Rumisha, S., Amratia, P., Arambepola, R., Chestnutt, E. G., Millar, J. J., Symons, T. L., Cameron, E., Battle, K. E., Bhatt, S., Gething, P. W.·2020·Nature Medicine
DOI 10.1038/s41591-020-1059-1
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  • GET shares characteristics with global health care access maps from Weiss et al. and AccessMod 5 in that they all consider medical facilities, transportation networks, and landscape conditions in a least-cost path-driven spatial modeling context.

    “It shares some characteristics with efforts such as the global health care access maps from Weiss et al. [30] and the software platform AccessMod 5 [32], in that they all consider medical facilities, transportation networks, and landscape conditions in a least-cost path-driven spatial modeling context.”

    From Wildland firefighter estimated ground evacuation time modeling to support risk-informed decision-making (2024) · cites this paper as [30]

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Research works printed but not linked: 39

  1. Wang, F. & Luo, W. Assessing spatial and nonspatial factors for healthcare access: towards an integrated approach to defining health professional shortage areas. Health Place 11, 131–146 (2005). · DOI
  2. Buzza, C. et al. Distance is relative: unpacking a principal barrier in rural healthcare. J. Gen. Intern. Med. 26, 648–654 (2011). · DOI
  3. Weiss, D. J. et al. A global map of travel time to cities to assess inequalities in accessibility in 2015. Nature 553, 333–336 (2018). · DOI
  4. Battle, K. E. et al. Treatment-seeking rates in malaria endemic countries. Malar. J. 15, 20 (2016). · DOI
  5. Stock, R. Distance and the utilization of health facilities in rural Nigeria. Soc. Sci. Med. 17, 563–570 (1983). · DOI
  6. Alegana, V. A., Wright, J., Pezzulo, C., Tatem, A. J. & Atkinson, P. M. Treatment-seeking behaviour in low-and middle-income countries estimated using a Bayesian model. BMC Med. Res. Methodol. 17, 67 (2017). · DOI
  7. Nemet, G. F. & Bailey, A. J. Distance and healthcare utilization among the rural elderly. Soc. Sci. Med. 50, 1197–1208 (2000). · DOI
  8. Syed, S. T., Gerber, B. S. & Sharp, L. K. Traveling towards disease: transportation barriers to healthcare access. J. Community Health 38, 976–993 (2013). · DOI · Paper page
  9. Manongi, R. et al. Inpatient child mortality by travel time to hospital in a rural area of Tanzania. Trop. Med. Int. Health 19, 555–562 (2014). · DOI
  10. Juran, S. et al. Geospatial mapping of access to timely essential surgery in sub-Saharan Africa. BMJ Glob. Health 3, e000875 (2018). · DOI
  11. Noor, A., Zurovac, D., Hay, S., Ochola, S. & Snow, R. Defining equity in physical access to clinical services using geographical information systems as part of malaria planning and monitoring in Kenya. Trop. Med. Int. Health 8, 917–926 (2003). · DOI
  12. Perry, B. & Gesler, W. Physical access to primary healthcare in Andean Bolivia. Soc. Sci. Med. 50, 1177–1188 (2000). · DOI
  13. Tanser, F., Gijsbertsen, B. & Herbst, K. Modelling and understanding primary healthcare accessibility and utilization in rural South Africa: an exploration using a geographical information system. Soc. Sci. Med. 63, 691–705 (2006). · DOI
  14. Alegana, V. A. et al. Spatial modelling of healthcare utilisation for treatment of fever in Namibia. Int. J. Health Geogr. 11, 6 (2012). · DOI
  15. Barbieri, S. & Jorm, L. Travel times to hospitals in Australia. Sci. Data 6, 248 (2019). · DOI
  16. Maina, J. et al. A spatial database of health facilities managed by the public health sector in sub-Saharan Africa. Sci. Data 6, 134 (2019). · DOI
  17. Wong, K. L. M., Brady, O. J., Campbell, O. M. R., Banke-Thomas, A. & Benova, L. Too poor or too far? Partitioning the variability of hospital-based childbirth by poverty and travel time in Kenya, Malawi, Nigeria and Tanzania. Int. J. Equity Health 19, 15 (2020). · DOI
  18. Nelson, A. et al. A suite of global accessibility indicators. Sci. Data 6, 266 (2019). · DOI
  19. Gulliford, M. et al. What does ‘access to healthcare’ mean? J. Health Serv. Res. Policy 7, 186–188 (2002). · DOI
  20. Haynes, R., Lovett, A. & Sünnenberg, G. Potential accessibility, travel time and consumer choice: geographical variations in general medical practice registrations in Eastern England. Environ. Plan. A 35, 1733–1750 (2003). · DOI
  21. Johansson, E. W. et al. Accessibility of basic paediatric emergency care in Malawi: analysis of a national facility census. BMC Public Health 20, 992 (2020) · DOI
  22. Hulland, E. N. et al. Travel time to health facilities in areas of outbreak potential: maps for guiding local preparedness and response. BMC Med. 17, 232 (2019). · DOI
  23. Weiss, D. J. et al. Mapping the global prevalence, incidence and mortality of Plasmodium falciparum, 2000-17: a spatial and temporal modelling study. Lancet 394, 322–331 (2019). · DOI · Paper page
  24. Saameli, R., Kalubi, D., Herringer, M., Sutton, T. & de Roodenbeke, E. Healthsites.io: the Global Healthsites Mapping Project. In Technologies for Development: From Innovation to Social Impact (eds. Hostettler, S. et al.) 53–59 (Springer, 2018). · DOI
  25. Goodchild, M. F. Citizens as sensors: the world of volunteered geography. GeoJournal 69, 211–221 (2007). · DOI
  26. Goodchild, M. F. & Li, L. Assuring the quality of volunteered geographic information. Spat. Stat. 1, 110–120 (2012). · DOI
  27. Brovelli, M. A., Minghini, M., Molinari, M. & Mooney, P. Towards an automated comparison of OpenStreetMap with authoritative road datasets. Trans. GIS 21, 191–206 (2017). · DOI
  28. Barrington-Leigh, C. & Millard-Ball, A. The world’s user-generated road map is more than 80% complete. PLoS ONE 12, e0180698 (2017). · DOI
  29. Jackson, S. P. et al. Assessing completeness and spatial error of features in volunteered geographic information. ISPRS Int. J. Geoinf. 2, 507–530 (2013). · DOI
  30. Hecht, R., Kunze, C. & Hahmann, S. Measuring completeness of building footprints in OpenStreetMap over space and time. ISPRS Int. J. Geoinf. 2, 1066–1091 (2013). · DOI
  31. Canavosio-Zuzelski, R., Agouris, P. & Doucette, P. A photogrammetric approach for assessing positional accuracy of OpenStreetMap roads. ISPRS Int. J. Geoinf. 2, 276–301 (2013). · DOI
  32. Haklay, M. How good is volunteered geographical information? a comparative study of OpenStreetMap and Ordnance Survey datasets. Environ. Plann. B Plann. Des. 37, 682–703 (2010). · DOI
  33. Girres, J. F. & Touya, G. Quality assessment of the French OpenStreetMap dataset. Trans. GIS 14, 435–459 (2010). · DOI
  34. Dijkstra, E. W. A note on two problems in connexion with graphs. Numer. Math. 1, 269–271 (1959). · DOI
  35. Gorelick, N. et al. Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sens. Environ. 183, 250–264 (2017).
  36. van Etten, J. R package gdistance: distances and routes on geographical grids. J. Stat. Softw. 76, 1–21 (2017). · DOI · Paper page
  37. Kassile, T., Lokina, R., Mujinja, P. & Mmbando, B. P. Determinants of delay in care seeking among children under five with fever in Dodoma region, central Tanzania: a cross-sectional study. Malar. J. 13, 348 (2014). · DOI
  38. Yaya, S., Bishwajit, G. & Shah, V. Wealth, education and urban–rural inequality and maternal healthcare service usage in Malawi. BMJ Glob. Health 1, e000085 (2016). · DOI
  39. Najnin, N., Bennett, C. M. & Luby, S. P. Inequalities in care-seeking for febrile illness of under-five children in urban Dhaka, Bangladesh. J. Health Popul. Nutr. 29, 523–531 (2011). · DOI

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Metadata

Authors
Weiss, D. J., Nelson, A., Vargas-Ruiz, C. A., Gligorić, K., Bavadekar, S., Gabrilovich, E., Bertozzi-Villa, A., Rozier, J., Gibson, H. S., Shekel, T., Kamath, C., Lieber, A., Schulman, K., Shao, Y., Qarkaxhija, V., Nandi, A. K., Keddie, S. H., Rumisha, S., Amratia, P., Arambepola, R., Chestnutt, E. G., Millar, J. J., Symons, T. L., Cameron, E., Battle, K. E., Bhatt, S., & Gething, P. W.
ORCID
Venue
Nature Medicine
Publisher
Springer Science and Business Media LLC
Published
2020-09-28
Volume
26
Issue
12
Pages
1835-1838
ISSN
  • 1078-8956
  • 1546-170X
DOI
10.1038/s41591-020-1059-1
Cited by
494
References
2
Language
en
Licence

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