Financing and stability separate resilient health systems from fragile ones
A cross-country analysis of health system resilience across 25 Sub-Saharan African countries from 2000 to 2023 shows a region where recovery from re-emerging infectious diseases is uneven, slow, and strongly shaped by structural capacity. Ebola virus disease, cholera, measles, Lassa fever, and Marburg virus disease continue to test systems that are already constrained by limited resources, inconsistent surveillance, and political instability. The study used a multidimensional resilience index and a first-order Markov state-transition framework to classify country-year observations as Low Resilience, Moderate Resilience, or High Resilience. Resilience was not a fixed trait; it changed over time, but it changed unevenly.
Low-resilience systems rarely climbed out of trouble quickly. Country-years in the Low-Resilience state had an 82.4% probability of remaining there in the following year and only a 3.1% probability of moving directly to High Resilience. In practical terms, a weak system tends to stay weak unless financing, governance, and operational capacity improve together. The transition pattern is consistent with a path-dependent model of public health performance: once outbreak response, surveillance, and recovery capacity deteriorate, the system often lacks the internal momentum to rebound on its own.
Moderate resilience was a holding pattern, not a destination
Moderate-Resilience observations carried real volatility. They had a 19.1% probability of transitioning to High Resilience, but also an 18.2% probability of slipping into Low Resilience in the next year. This middle category is the most policy-sensitive part of the distribution, because it captures countries that may be close to stronger performance but remain vulnerable to shocks, financing gaps, and governance disruptions. In other words, Moderate Resilience is not stable middle ground; it is a contested zone in which modest gains can be reversed quickly.
The persistence of High Resilience was better, but not absolute. High-Resilience observations had a 63.6% probability of staying High Resilience, yet 36.4% regressed in the next year when the probabilities of decline were combined. Even systems that perform well can lose ground when funding tightens, emergencies multiply, or political conditions deteriorate. For outbreaks that demand rapid detection and coordinated containment, a strong year does not guarantee a strong next year. The data point to a public health reality in which resilience must be replenished continuously rather than assumed to persist.
Domestic financing and GDP support recovery, while conflict pulls systems backward
Multinomial logistic regression linked higher health expenditure per capita, a larger domestic health-financing share, and higher GDP per capita with High Resilience. Those associations fit the logic of outbreak preparedness: detection networks, laboratory systems, workforce retention, stockpiles, and referral pathways all require durable funding. Countries that rely less on unstable external inputs and more on domestic financing are more likely to maintain response capacity when outbreaks recur. Economic capacity also matters because health systems do not function in isolation; they depend on broader fiscal space, infrastructure, and administrative continuity.
One factor moved in the opposite direction. Internal armed conflict was negatively associated with High Resilience. Conflict disrupts every layer of response, from surveillance and community reporting to transportation, supply chains, and facility access. It also makes recovery slower after an outbreak has passed, because the same infrastructure needed for routine care is often the infrastructure needed for emergency response. In conflict settings, disease control and health-system rebuilding become simultaneous tasks, which raises the operational burden well beyond what outbreak counts alone reveal.
Regional differences reveal where the system is most exposed
The regional pattern was not uniform. Southern and Eastern Africa showed stronger resilience profiles than Western and Central Africa, while Central Africa had the greatest concentration of Low-Resilience countries. Those differences likely reflect a combination of financing capacity, governance consistency, and exposure to instability, although the study does not reduce the region to a single explanation. The broader signal is clearer than any single country comparison: resilience is geographically clustered, and the most fragile clusters deserve the most urgent investment.
Regional inequality matters because outbreaks do not respect national borders. Surveillance gaps in one country can delay detection in neighboring systems, and weak emergency response in one jurisdiction can create cross-border transmission pressure for surrounding states. Harmonised surveillance and emergency-response mechanisms therefore become more than a technical ideal; they are the practical architecture for containing recurrent epidemics across a connected region. The findings support a regional strategy in which countries with Moderate Resilience are not left to drift, but are actively supported before they slide backward.
What the pattern means for outbreak preparedness
The study’s central contribution is its insistence that resilience is dynamic, unevenly distributed, and tied to sustained investment rather than isolated emergency action. A country can improve after one shock and still remain structurally vulnerable to the next. A country can also appear relatively stable and still regress if financing thins out or conflict intensifies. The Markov framework captures this uncertainty better than a one-time snapshot would, because it shows how likely systems are to stay stuck, improve, or deteriorate from one year to the next.
For public health planners, the most actionable target is the middle tier. Moderate-Resilience countries represent the best opportunity for accelerated gains because they are not trapped at the bottom and have a measurable probability of reaching High Resilience with the right policy mix. Strengthening domestic health financing, protecting budgets during political stress, and shielding response systems from conflict-related disruption may yield more durable gains than short bursts of emergency spending after a crisis has already escalated.
A single outbreak can expose weaknesses; repeated outbreaks expose the structure underneath them.
The study also leaves a concrete policy challenge on the table: how to move countries out of Low Resilience when regression remains far more likely than rapid improvement. The answer will depend on whether financing reforms, governance improvements, and regional coordination can be sustained long enough to change the transition probabilities themselves, not just the appearance of preparedness in a given year.