Geographical accessibility to hospital care amid armed conflict in Myanmar: a population-weighted analysis of compounding health inequality, 2021–2024

INTRODUCTION: Armed conflict disrupts health systems, but whether it compounds pre-existing geographical barriers to hospital care has not been quantified. We aimed to estimate population-weighted travel time to public hospital care across Myanmar's 330 townships; test whether conflict following the February 2021 coup concentrated in populations with the worst baseline access, and whether attacks on health facilities followed the same pattern; and measure the cumulative person-year burden of simultaneous poor access and intense conflict. METHODS: We conducted a longitudinal ecological analysis of 330 townships over 16 quarters from 2021 to 2024. Travel time from each populated square kilometre to the nearest of 68 general hospitals, representing the surgical-care tier, was estimated using the pre-coup facility registry, OpenStreetMap road data and WorldPop 2020 population estimates. Townships were classified by population-weighted median travel time. Quarterly conflict intensity was calculated from 35 647 Armed Conflict Location and Event Data Project battle and explosion or remote-violence events; 655 Safeguarding Health in Conflict Coalition-reported facility attacks were analysed separately. The concentration index assessed whether conflict events, fatalities and facility attacks were disproportionately concentrated among populations with worse baseline access. Double-burden exposure (poor or very poor access combined with high or extreme conflict) was accumulated in person-years. Because access was held at pre-coup baseline, estimates should be read as optimistic bounds. RESULTS: Before the coup, 5.8 million people (12%) lived over 2 hours from a general hospital. Double-burden exposure grew from 0.4 million (Q1 2021) to 3.1 million (Q1 2024). Conflict was significantly concentrated in worse-access populations: concentration index 0.126 (95% CI 0.053 to 0.199) for events, 0.169 (95% CI 0.078 to 0.263) for fatalities. Facility attacks showed no significant concentration (0.049, 95% CI -0.041 to 0.145), as remote townships lack targetable facilities. An estimated 8.4 million person-years of double-burden exposure accumulated over 2021-2024, rising roughly eightfold quarterly, from about 100 000 (Q1 2021) to 780 000 (Q1 2024). CONCLUSION: Conflict in Myanmar has compounded pre-existing geographical inequality in hospital access, with populations furthest from surgical care bearing a disproportionate burden. The concentration curve framework used is transferable to other conflict-affected settings.

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Publication Details

Journal
BMJ Global Health
Published
2026-09-01
DOI
https://doi.org/10.1136/bmjgh-2026-024615
Primary Topic
Migration, Health and Trauma
Type
article
Field-Weighted Citation Impact
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article

Geographical accessibility to hospital care amid armed conflict in Myanmar: a population-weighted analysis of compounding health inequality, 2021–2024

H. Le Thi Thu, Aung Thura Htoo, Kaung Khant Tin
BMJ Global Health
Migration, Health and Trauma
article

Geographical accessibility to hospital care amid armed conflict in Myanmar: a population-weighted analysis of compounding health inequality, 2021–2024

H. Le Thi Thu, Aung Thura Htoo, Kaung Khant Tin
article en

Abstract

INTRODUCTION: Armed conflict disrupts health systems, but whether it compounds pre-existing geographical barriers to hospital care has not been quantified. We aimed to estimate population-weighted travel time to public hospital care across Myanmar's 330 townships; test whether conflict following the February 2021 coup concentrated in populations with the worst baseline access, and whether attacks on health facilities followed the same pattern; and measure the cumulative person-year burden of simultaneous poor access and intense conflict. METHODS: We conducted a longitudinal ecological analysis of 330 townships over 16 quarters from 2021 to 2024. Travel time from each populated square kilometre to the nearest of 68 general hospitals, representing the surgical-care tier, was estimated using the pre-coup facility registry, OpenStreetMap road data and WorldPop 2020 population estimates. Townships were classified by population-weighted median travel time. Quarterly conflict intensity was calculated from 35 647 Armed Conflict Location and Event Data Project battle and explosion or remote-violence events; 655 Safeguarding Health in Conflict Coalition-reported facility attacks were analysed separately. The concentration index assessed whether conflict events, fatalities and facility attacks were disproportionately concentrated among populations with worse baseline access. Double-burden exposure (poor or very poor access combined with high or extreme conflict) was accumulated in person-years. Because access was held at pre-coup baseline, estimates should be read as optimistic bounds. RESULTS: Before the coup, 5.8 million people (12%) lived over 2 hours from a general hospital. Double-burden exposure grew from 0.4 million (Q1 2021) to 3.1 million (Q1 2024). Conflict was significantly concentrated in worse-access populations: concentration index 0.126 (95% CI 0.053 to 0.199) for events, 0.169 (95% CI 0.078 to 0.263) for fatalities. Facility attacks showed no significant concentration (0.049, 95% CI -0.041 to 0.145), as remote townships lack targetable facilities. An estimated 8.4 million person-years of double-burden exposure accumulated over 2021-2024, rising roughly eightfold quarterly, from about 100 000 (Q1 2021) to 780 000 (Q1 2024). CONCLUSION: Conflict in Myanmar has compounded pre-existing geographical inequality in hospital access, with populations furthest from surgical care bearing a disproportionate burden. The concentration curve framework used is transferable to other conflict-affected settings.

BMJ Global HealthVol. 11(9)
National University of Singapore (SG), U.S. Embassy in Burma (MM), University of Nursing Yangon (MM), National University Health System (SG)
No poverty
Openalex Percentile: Top 7%
Migration, Health and Trauma
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