ArticleBMJ open2020
Modelling geographical accessibility to support disaster response and rehabilitation of a healthcare system: an impact analysis of Cyclones Idai and Kenneth in Mozambique.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Advances in small area population estimation in the absence of national census data.Proceedings of the National Academy of Sciences of the United States of America · 2026Review
- Quantifying the impact of health service delivery barriers on access to healthcare: a case study of antiretroviral therapy in Mali.BMJ global health · 2026Article
- Impact of extreme precipitation events on facility-based births in 21 sub-Saharan African countries.Nature communications · 2026Article
- Impact analysis of flood-induced changes in geographical accessibility and coverage to healthcare in both public and private sector, 2024, Kenya.International journal of health geographics · 2026Article
- Mapping and quantifying travel time to define health facility catchment areas in Blantyre city in Malawi.Communications medicine · 2025Article
- A scoping review of the methods used to estimate health facility catchment populations for child health indicators in sub-Saharan Africa.Population health metrics · 2025Article
- Article
- The association between infrastructure damage in the aftermath of Cyclone Idai and malaria risk in Sofala Province, Mozambique: an ecological study.Malaria journal · 2024Article
- Spatial Access to Continuous Maternal and Perinatal Health Care Services in Low-Resource Settings: Cross-Sectional Study.JMIR public health and surveillance · 2024Article
- A geospatial analysis of accessibility and availability to implement the primary healthcare roadmap in Ethiopia.Communications medicine · 2023Article
- Article
- Impacts of seasonal flooding on geographical access to maternal healthcare in the Barotse Floodplain, Zambia.International journal of health geographics · 2023Article
- Measuring accessibility to public services and infrastructure criticality for disasters risk management.Scientific reports · 2023Article
- Household structure is independently associated with malaria risk in rural Sussundenga, Mozambique.Frontiers in epidemiology · 2023Article
- How did primary health care in Beira experience Cyclone Idai?African journal of primary health care & family medicine · 2022Article
- Assessing road criticality and loss of healthcare accessibility during floods: the case of Cyclone Idai, Mozambique 2019.International journal of health geographics · 2022Article
- Article
- Comparing modelled with self-reported travel time and the used versus the nearest facility: modelling geographic accessibility to family planning outlets in Kenya.BMJ global health · 2022Article
- Use of Physical Accessibility Modelling in Diagnostic Network Optimization: A Review.Diagnostics (Basel, Switzerland) · 2022Review
- Travel scenario workshops for geographical accessibility modeling of health services: A transdisciplinary evaluation study.Frontiers in public health · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesModelling and assessing the loss of geographical accessibility is key to support disaster response and rehabilitation of the healthcare system. The aim of this study was therefore to estimate postdisaster travel times to functional health facilities and analyse losses in accessibility coverage after Cyclones Idai and Kenneth in Mozambique in 2019.
settingWe modelled travel time of vulnerable population to the nearest functional health facility in two cyclone-affected regions in Mozambique. Modelling was done using AccessMod V.5.6.30, where roads, rivers, lakes, flood extent, topography and land cover datasets were overlaid with health facility coordinates and high-resolution population data to obtain accessibility coverage estimates under different travel scenarios. OUTCOME MEASURES: Travel time to functional health facilities and accessibility coverage estimates were used to identify spatial differences between predisaster and postdisaster geographical accessibility.
resultsWe found that accessibility coverage decreased in the cyclone-affected districts, as a result of reduced travel speeds, barriers to movement, road constraints and non-functional health facilities. In Idai-affected districts, accessibility coverage decreased from 78.8% to 52.5%, implying that 136 941 children under 5 years of age were no longer able to reach the nearest facility within 2 hours travel time. In Kenneth-affected districts, accessibility coverage decreased from 82.2% to 71.5%, corresponding to 14 330 children under 5 years of age having to travel >2 hours to reach the nearest facility. Damage to transport networks and reduced travel speeds resulted in the most substantial accessibility coverage losses in both Idai-affected and Kenneth-affected districts.
conclusionsPostdisaster accessibility modelling can increase our understanding of spatial differences in geographical access to care in the direct aftermath of a disaster and can inform targeting and prioritisation of limited resources. Our results reflect opportunities for integrating accessibility modelling in early disaster response, and to inform discussions on health system recovery, mitigation and preparedness.
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