Africa is navigating one of the most complex health transitions in its history. Non-communicable diseases are rising. Climate change is reshaping patterns of illness. Cities are expanding rapidly. Populations are shifting. Yet the data systems guiding many of our health decisions remain fragmented. If Africa is serious about building resilient health systems, sustained investment in Health and Demographic Surveillance Systems (HDSS) must become a priority. HDSS are research sites that collect longitudinal health and demographic data in specific populations. Unlike national surveys conducted every few years, HDSS platforms annually track births, deaths, migration, and disease patterns within defined communities. This longitudinal, population-based approach provides insight not just into what is happening, but also how trends evolve, who is affected, and why.

The urgency of strengthening surveillance systems is particularly evident in light of recurring Ebola outbreaks across Africa and the global anxiety they continue to generate. Recent outbreaks have once again highlighted how quickly infectious diseases can cross borders, strain health systems, and expose weaknesses in disease detection, contact tracing, and patient management. Public concern often extends beyond the affected countries, raising questions about preparedness, transparency, and the capacity of health systems to protect both communities and frontline health workers. In such contexts, robust surveillance systems become the first line of defense. They enable the early identification of unusual disease patterns, support rapid response efforts, and provide decision-makers with the timely evidence needed to contain outbreaks before they escalate into wider public health emergencies. As emerging and re-emerging infectious diseases continue to threaten the continent, investments in surveillance are not merely a research priority; they are a public health imperative.

HDSS sites capture what routine surveys often miss. For instance, across many African contexts, care-seeking behavior is layered and informal. Individuals frequently begin treatment through self-medication at pharmacies, or from traditional healers and private providers, before visiting formal public health facilities. Financial constraints, long waiting times, perceived quality gaps, and growing mistrust in overstretched systems all influence these decisions. As a result, a significant portion of health events remains undocumented in routine facility records. This means that when national budgets and health policies rely largely on facility-based data, they underrepresent disease burden and misjudge service needs. HDSS help bridge this gap. By following defined populations regardless of where they seek care, surveillance systems provide a fuller, more contextualized picture of health outcomes. They strengthen cause-of-death attribution, track migration patterns, measure the effectiveness of interventions, and identify emerging risks before they escalate.

Across the continent, several sites demonstrate the value of this model. Long-standing HDSS platforms have evolved from focusing primarily on infectious diseases, such as HIV, to incorporating non-communicable diseases, genomics research, and broader population health priorities. Others are working to integrate community-level and facility-level data, ensuring that health systems reflect real-world experiences. Yet despite their importance, many HDSS sites operate under fragile funding arrangements. They rely heavily on short-term project grants, which often threaten their continuity. Funding gaps slow surveillance activities, disrupt longitudinal data streams, and weaken institutional knowledge, especially when critical research teams cannot be retained.

The Implementation Network for Sharing Population Information from Research Entities (INSPIRE), a network of 25 HDSS sites, strengthens collaboration among African HDSS sites and helps shift the conversation from isolated projects to coordinated, sustainable systems. The network promotes data harmonization, shared standards, records linkage, integration of digital and artificial intelligence tools, and collective advocacy for long-term investment. More importantly, it reflects a growing recognition that HDSS platforms are not only research projects, but also essential components of public health infrastructure. If Africa is to build health systems that can respond effectively to emerging diseases, demographic shifts, and future health crises, then investment in strong, continuous, and locally anchored surveillance systems must become a central part of the government’s public health agenda.