• Fri. Dec 12th, 2025

Mapping and quantifying travel time to define health facility catchment areas in Blantyre city in Malawi

Mapping and quantifying travel time to define health facility catchment areas in Blantyre city in Malawi
  • Macharia, P. M., Ray, N., Giorgi, E., Okiro, E. A. & Snow, R. W. Defining service catchment areas in low-resource settings. BMJ Glob. Health 6 (2021).

  • Heo, J. Y. et al. Incidence and case fatality rates of community-acquired pneumonia and pneumococcal diseases among Korean adults: catchment population-based analysis. PLoS ONE 13, e0194598 (2018).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Mohammadi, A., Mollalo, A., Bergquist, R. & Kiani, B. Measuring COVID-19 vaccination coverage: an enhanced age-adjusted two-step floating catchment area model. Infect. Dis. Poverty 10, 118 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Curtis, A. et al. National optimisation of accessibility to emergency obstetrical and neonatal care in Togo: a geospatial analysis. BMJ Open 11, e045891 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Epstein, A. et al. Estimating malaria incidence from routine health facility-based surveillance data in Uganda. Malar. J. 19, 445 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Zinszer, K. et al. Determining health-care facility catchment areas in Uganda using data on malaria-related visits. Bull. World Health Organ. 92, 178–186 (2014).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Kumar, M. & Mostafa, J. Research evidence on strategies enabling integration of electronic health records in the health care systems of low‐and middle‐income countries: a literature review. Int. J. Health Plann. Manage. 34, e1016–e1025 (2019).

    Article 
    PubMed 

    Google Scholar 

  • Aurenhammer, F. Voronoi diagrams—a survey of a fundamental geometric data structure. ACM Comput. Surv. CSUR 23, 345–405 (1991).

    Article 

    Google Scholar 

  • Dijkstra, E. W. A note on two problems in connexion with graphs. Numer. Math. 1, 269–271 (1959).

    Article 

    Google Scholar 

  • Ashiagbor, G., Ofori-Asenso, R., Forkuo, E. K. & Agyei-Frimpong, S. Measures of geographic accessibility to health care in the Ashanti Region of Ghana. Sci. Afr. 9, e00453 (2020).

    Google Scholar 

  • Peven, K. et al. Distance to available services for newborns at facilities in Malawi: a secondary analysis of survey and health facility data. PLoS ONE 16, e0254083 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Johns, N. E. et al. Association between childhood immunisation coverage and proximity to health facilities in rural settings: a cross-sectional analysis of Service Provision Assessment 2013–2014 facility data and Demographic and Health Survey 2015–2016 individual data in Malawi. BMJ Open 12, e061346 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Xia, Y., Bjørnstad, O. N. & Grenfell, B. T. Measles metapopulation dynamics: a gravity model for epidemiological coupling and dynamics. Am. Nat. 164, 267–281 (2004).

    Article 
    PubMed 

    Google Scholar 

  • Weiss, D. et al. Global maps of travel time to healthcare facilities. Nat. Med. 26, 1835–1838 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Falchetta, G., Hammad, A. T. & Shayegh, S. Planning universal accessibility to public health care in sub-Saharan Africa. Proc. Natl. Acad. Sci. 117, 31760–31769 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Hierink, F. et al. Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa. Commun. Med. 2, 117 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Haklay, M. & Weber, P. OpenStreetMap: user-generated street maps. IEEE Pervasive Comput. 7, 12–18 (2008).

    Article 

    Google Scholar 

  • Herfort, B., Lautenbach, S., Porto de Albuquerque, J., Anderson, J. & Zipf, A. A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap. Nat. Commun. 14, 3985 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Kateregga, G. State of OpenStreetMap in Africa 2023. Medium (2024).

  • Chaulagai, C. N. et al. Design and implementation of a health management information system in Malawi: issues, innovations and results. Health Policy Plan 20, 375–384 (2005).

    Article 
    PubMed 

    Google Scholar 

  • Jahn, A. et al. Ascertainment of childhood vaccination histories in northern Malawi. Trop. Med. Int. Health 13, 129–138 (2008).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • National Statistical Office. 2018 Malawi Population and Housing Census Report. (2019).

  • Varela, C. et al. Transportation barriers to access health care for surgical conditions in Malawi a cross sectional nationwide household survey. BMC Public Health 19, 1–8 (2019).

    Article 

    Google Scholar 

  • Santiago-Alarcon, D. & MacGregor-Fors, I. Cities and pandemics: urban areas are ground zero for the transmission of emerging human infectious diseases. J. Urban Ecol. 6, juaa012 (2020).

    Article 

    Google Scholar 

  • Alirol, E., Getaz, L., Stoll, B., Chappuis, F. & Loutan, L. Urbanisation and infectious diseases in a globalised world. Lancet Infect. Dis. 11, 131–141 (2011).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Orach, D. C. G. Health equity: challenges in low income countries. Afr. Health Sci. 9, S49–S51 (2009).

    PubMed 

    Google Scholar 

  • Xu, G. et al. Urban expansion and form changes across African cities with a global outlook: Spatiotemporal analysis of urban land densities. J. Clean. Prod. 224, 802–810 (2019).

    Article 

    Google Scholar 

  • Willcox, M. L. et al. Human resources for primary health care in sub-Saharan Africa: progress or stagnation? Hum. Resour. Health 13, 76 (2015).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Wekwete, N. & Mangombe, K. Causes of death and the double burden of disease in Africa: evidence from the Sub-Saharan Africa. in The Routledge Handbook of African Demography 731–744 (Routledge, 2022).

  • GoM. Malawi National Transport Master PlanFinal Report. (2017).

  • Basiri, A. et al. Quality assessment of OpenStreetMap data using trajectory mining. Geo-Spat. Inf. Sci. 19, 56–68 (2016).

    Article 

    Google Scholar 

  • Zanaga, D. et al. ESA WorldCover 10 m 2021 v200. (2022).

  • Farr, T. G. et al. The shuttle radar topography mission. Rev. Geophys. 45 (2007).

  • Zeng, W. et al. The impact and cost-effectiveness of user fee exemption by contracting out essential health package services in Malawi. BMJ Glob. Health 4, e001286 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Makwero, M. T. Delivery of primary health care in Malawi. Afr. J. Prim. Health Care Fam. Med. 10, 1799 (2018).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Gabrysch, S. & Campbell, O. M. Still too far to walk: literature review of the determinants of delivery service use. BMC Pregnancy Childbirth 9, 34 (2009).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Ray, N. & Ebener, S. AccessMod 3.0: computing geographic coverage and accessibility to health care services using anisotropic movement of patients. Int. J. Health Geogr. 7, 63 (2008).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Macharia, P. M., Ray, N., Gitonga, C. W., Snow, R. W. & Giorgi, E. Combining school-catchment area models with geostatistical models for analysing school survey data from low-resource settings: Inferential benefits and limitations. Spat. Stat. 51, 100679 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Tatem, A. J. WorldPop, open data for spatial demography. Sci. Data 4, 1–4 (2017).

    Article 

    Google Scholar 

  • Hierink, F., Okiro, E. A., Flahault, A. & Ray, N. The winding road to health: a systematic scoping review on the effect of geographical accessibility to health care on infectious diseases in low- and middle-income countries. PLOS ONE 16, e0244921 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Alegana, V. A., Khazenzi, C., Akech, S. O. & Snow, R. W. Estimating hospital catchments from in-patient admission records: a spatial statistical approach applied to malaria. Sci. Rep. 10, 1–11 (2020).

    Article 

    Google Scholar 

  • Munyaneza, F. et al. Leveraging community health worker system to map a mountainous rural district in low resource setting: a low-cost approach to expand use of geographic information systems for public health. Int. J. Health Geogr. 13, 49 (2014).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Mawenda, J., Watanabe, T. & Avtar, R. An Analysis of Urban Land Use/Land Cover Changes in Blantyre City, Southern Malawi (1994–2018). Sustainability 12, 2377 (2020).

    Article 

    Google Scholar 

  • UN Habitat, B. Malawi: Blantyre Urban Profile. (2011).

  • Barrington-Leigh, C. & Millard-Ball, A. The world’s user-generated road map is more than 80% complete. PloS One 12, e0180698 (2017).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Boateng, E. N. K., Manyungwa, Z. & Anderson, J. Assessing YouthMappers Contributions to the Generation of Open Geospatial Data in Africa. in Open Mapping towards Sustainable Development Goals: Voices of YouthMappers on Community Engaged Scholarship (eds. Solís, P. & Zeballos, M.) 171–179 (Springer International Publishing, Cham, 2023).

  • Watmough, G. R. et al. Using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility. Sci. Data 9, 217 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Longbottom, J., Wamboga, C., Bessell, P. R., Torr, S. J. & Stanton, M. C. Optimising passive surveillance of a neglected tropical disease in the era of elimination: a modelling study. PLoS Negl. Trop. Dis. 15, e0008599 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Hierink, F., Rodrigues, N., Muñiz, M., Panciera, R. & Ray, N. Modelling geographical accessibility to support disaster response and rehabilitation of a healthcare system: an impact analysis of Cyclones Idai and Kenneth in Mozambique. BMJ Open 10, e039138 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Yin, S., Hu, M. & Chen, W. Quality perceptions and choice of public health facilities: a mediation effect analysis of outpatient experience in Rural China. Patient Prefer. Adherence 16, 2089–2102 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Bond, V. et al. “Being seen” at the clinic: Zambian and South African health worker reflections on the relationship between health facility spatial organisation and items and HIV stigma in 21 health facilities, the HPTN 071 (PopART) study. Health Place 55, 87–99 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Houben, R. M. et al. Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa – methods and results in Northern Malawi. Int. J. Health Geogr. 11, 49 (2012).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Banke-Thomas, A. et al. Geographical accessibility to functional emergency obstetric care facilities in urban Nigeria using closer-to-reality travel time estimates: a population-based spatial analysis. Lancet. Glob. Health 12, e848–e858 (2024).

    CAS 

    Google Scholar 

  • Farnham, A., Utzinger, J., Kulinkina, A. V. & Winkler, M. S. Using district health information to monitor sustainable development. Bull. World Health Organ 98, 69 (2020).

    Article 
    PubMed 

    Google Scholar 

  • Sy, Z. et al. Optimization of the emergency obstetric and neonatal care network in Benin through expert-based sub-national prioritizations. Front. Glob. Womens Health 5, 1265729 (2024).

  • Molenaar, L., Hierink, F., Brun, M., Monet, J.-P. & Ray, N. Travel scenario workshops for geographical accessibility modelling of health services: a transdisciplinary evaluation study. Front. Public Health 10, 1051522 (2023).

  • Macharia, P. M. et al. Modelling geographic access and school catchment areas across public primary schools to support subnational planning in Kenya. Child. Geogr. 21, 832–848 (2023).

    Article 

    Google Scholar 

  • O’Meara, W. P. et al. The impact of primary health care on malaria morbidity – defining access by disease burden. Trop. Med. Int. Health 14, 29–35 (2009).

    Article 
    PubMed 

    Google Scholar 

  • Nelli, L. et al. Distance sampling for epidemiology: an interactive tool for estimating under-reporting of cases from clinic data. Int. J. Health Geogr. 19, 16 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Kalonde, P. Travel speeds. Zenodo (2025).

  • Kalonde, P. K. Health Facilities around Blantyre City. Zenodo (2023).

  • Kalonde, P. K. Blantyre Facility Catchment Areas. Zenodo (2024).

  • Kalonde, P. Facility-village pairs. Zenodo (2025).

  • Patrick, K. Validation villages. Zenodo (2025).

  • Kalonde, P. Pipeline for validation of the catchments. Zenodo (2025).

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