Modelled migraine burden across Africa, 2009-2023: geographic patterns, demographic drivers, and exploratory projections to 2030
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Updated: Oct 30, 2026

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Published on: June 2, 2014
Background:
Continent-wide estimates of migraine burden in Africa require cautious interpretation because primary data are uneven and GBD outputs are modelled.
Methods:
We analysed GBD 2023 point estimates and uncertainty intervals for 54 African countries during 2009-2023. We described incidence, prevalence, and YLDs; assessed age and sex patterns; decomposed changes in absolute burden; performed SDI-based expected-value benchmarking; and conducted exploratory post-2020 trend and ARIMA forecast analyses with diagnostics, rolling validation, and sensitivity models.
Results:
In 2023, age-standardised incidence ranged from 802.9 to 1,292.2 per 100,000, prevalence from 9,534.2 to 15,959.0, and YLDs from 338.3 to 570.2. Female-to-male ratios were 1.41-1.73 for incidence, 1.42-1.82 for prevalence, and 1.90-2.31 for YLDs. Population growth explained 88.3%-95.1% of increases in absolute burden. SDI residuals were stable across LOESS spans but were sensitive to edge and influential observations. Primary post-2020 departures were small (-0.35% incidence, +0.32% prevalence, -0.20% YLDs) and changed under a level-scale specification. Conditional 2030 ARIMA projections were 19.87 million incident cases, 219.28 million prevalent cases, and 7.44 million YLDs; alternative point forecasts were similar, but total uncertainty is larger than conditional model intervals.
Conclusions:
Modelled migraine burden is substantial and geographically heterogeneous across Africa, with higher female rates and rising counts driven mainly by demographic change. Post-2020 departures and projections are exploratory, non-causal, and model-dependent.
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