From Maps to Decisions: How eHealth Africa and Bayero University Are Strengthening Geospatial Capacity in Kano

By Azeez-Ayodele Fatimah Ayotemitide

In a rural community in Kano, health workers may know that children are missing routine immunization, but without knowing exactly where those children live, response efforts can remain slow and incomplete.

Teams may understand what is happening, but not always where it is happening, where gaps persist, or how to respond with precision. In public health, that missing layer matters. Disease outbreaks spread across locations, and immunisation gaps often emerge in specific settlements. Without spatial intelligence, even strong data may fall short of driving effective action.

This challenge is not unique to Kano. Across many health systems, data is collected routinely but is not always translated into practical decisions that improve service delivery.

This reality informed the need for a Geospatial Curriculum for Health Professionals, a competency-based learning programme designed to help health workers apply geospatial tools to planning, surveillance, emergency response, and resource allocation.

Building Long-Term Geospatial Capacity

Across Nigeria, geospatial training has often happened in fragments, delivered through isolated programmes tied to short-term project cycles and rarely embedded into the institutions that shape long-term workforce development. eHealth Africa worked with Bayero University Kano’s Centre for Dryland Agriculture (CDA) to co-develop a competency-based curriculum that can outlast a single project. 

Supported by the Umbrella Fund, the collaboration aims to embed geospatial learning within academic and professional systems that can continue producing skilled public health workers over time.

eHealth Africa and Bayero University Kano piloted the first delivery of the curriculum, training 41 participants across the Basic, Intermediate, and Advanced certification tracks. The pilot brought together health professionals from government institutions and partner organisations for hands-on training in practical geospatial tools and workflows.

Victor Idakwo, Associate Manager, GIS & Data Analytics at eHealth Africa, explained: “Before this time, we had geospatial learning and training done in silos. That informed the project itself to have a standardised curriculum formulated and training handled by an accredited university in Nigeria. Instead of having training across different organisations, all the organisations can now come to a single place to receive the training.”

For Bayero University, the same shift is central. As Professor Murtala Mohammed Badamasi, Deputy Director at the Centre for Dryland Agriculture, noted: “Bayero University was willing to institutionalise this particular curriculum. We developed the curriculum together, co-designing and developing it together. And then we are now institutionalising it as part and parcel of the courses that will be run by the Centre for Dryland Agriculture.”

A curriculum designed for how health systems actually work

The Geospatial Curriculum for Health Professionals was intentionally designed around the realities of public health operations. It is a health-focused programme built around the decisions health workers make every day. 

The curriculum includes 11 modules delivered across three certification levels: Basic, Intermediate, and Advanced, and aligns learning to the different tiers of the health system, from primary healthcare and ward-level functions to local government and state-level planning. Participants learn practical tools, including the Global Positioning System (GPS) data collection, Quantum Geographic Information System (QGIS), digital data collection platforms, spatial analysis, and map use for routine decision-making.

The design also reflects the cross-sector nature of public health. Comfort Audu, Project Manager at eHealth Africa, noted during the pilot: “The initiative is timely as it has brought together participants from various Ministries, departments”, “and Agencies like NAFDAC, Veterinary, digital Health, Environment, and Food and Drugs, which forms the new trend of One Health.”

Early signs of operational relevance

What makes this work especially promising is how quickly participants began connecting geospatial tools to real health system needs. For some, the value was in replacing manual, paper-heavy processes with more efficient digital methods. For others, it was in seeing how tools like QGIS could strengthen immunisation tracking, campaign planning, and service coverage analysis.

Kasim Ibrahim of the National Agency for Food and Drug Administration and Control (NAFDAC), who joined the Basic class, described the training as an entry point into a new way of working: “Before this programme, I had zero idea. The only thing I used partially was Google Maps.” 

After the training, he said, “It has significantly shown me that with these tools, we can get better data and enhance field activities. Before now, we used analogue methods, paper and pen, which are prone to many errors.”

Building beyond the pilot

The long-term success of this initiative will not be measured only by the number of people trained in a single cohort. It will be measured by whether geospatial capacity becomes embedded in routine health system functions and whether institutions can continue producing that capacity over time.

That is why the partnership with Bayero University remains central. The Memorandum of Agreement signals a shared commitment to creating an institutional home for this work, one that can support curriculum refinement, future cohorts, and broader adoption over time.

This is how systems change begins: not with isolated moments of learning, but with structures that make learning durable.

Professor Murtala Mohammed Badamasi captured the logic clearly: “Partnership allows for synergy in terms of collaboration and the delivery of practice. This is where the partnership between non-governmental organisations and academia allows for the cross-fertilization of ideas.”

The long-term value of geospatial learning lies not only in collecting more data, but in helping health workers use that data more effectively. By moving geospatial training beyond short-term workshops and embedding it within an institutional framework, eHealth Africa and Bayero University are helping strengthen a workforce that can make more informed, location-driven public health decisions. Ultimately, stronger health systems depend not only on information but on the ability to turn information into action.

Invisible Communities Become Visible

By Tijesu Ojumu

In public health, what is not counted is often not served.

Across many underserved and hard-to-reach areas, entire settlements can remain functionally invisible to healthcare systems, not because people are absent, but because the systems designed to reach them lack accurate visibility into where they are, how they move, and what services they can access.

The consequences are significant.
– Children are missed during immunization campaigns.
– Disease surveillance gaps widen.
– Healthcare resources are distributed unevenly.
– Emergency responses become slower and less precise.
– Communities already facing geographic or socioeconomic barriers become even more disconnected from essential services.

In many cases, the challenge is not willingness to serve these populations.It is the absence of reliable operational data. This is why GIS mapping, settlement enumeration, and digital microplanning have become increasingly important components of resilient health systems. Before healthcare services can effectively reach vulnerable populations, health systems first need a clearer understanding of where people are located and what barriers exist between communities and care delivery.

Making Invisible Communities Visible
Traditional maps do not always reflect the realities of population movement, informal settlements, nomadic communities, changing environmental conditions, or rapidly expanding rural populations.
As a result, health teams may plan interventions around incomplete assumptions, outdated settlement lists, or limited geographic visibility.

Digital enumeration and GIS-supported mapping help address this challenge by creating more accurate population visibility and operational planning systems. Through field enumeration activities, health teams can identify previously undocumented settlements, validate population estimates, map access routes, and improve understanding of community distribution patterns. GIS tools then transform this information into actionable planning intelligence.

Instead of relying solely on static reports, teams can visualize service gaps geographically, optimize team movement, identify high-risk or underserved areas, and improve allocation of resources during campaigns and routine healthcare delivery. The result is not simply better maps. It is better decision-making.

Strengthening Immunization and Public Health Delivery
The impact of improved geographic visibility becomes especially clear during immunization campaigns and outbreak response efforts.

When settlements are missed during microplanning, children are often missed during vaccination activities. This creates vulnerabilities not only for individual communities but also for broader public health systems attempting to reduce the spread of vaccine-preventable diseases. By integrating GIS mapping and digital microplanning into immunization operations, health teams can improve settlement tracking, monitor field activities more effectively, and identify areas requiring rapid follow-up.

Recent enumeration and immunization support activities across northern Nigeria demonstrated how digital tools and geospatial visibility can improve operational oversight across thousands of settlements and multiple Local Government Areas. These approaches help reduce duplication, improve accountability, and strengthen confidence that interventions are reaching intended populations.

More importantly, they support a shift from generalized planning to evidence-based service delivery.

From Data Collection to System
Strengthening Data alone does not strengthen health systems. What matters is whether systems can translate data into coordinated action. This is where digital microplanning becomes essential.

Microplanning allows health teams to move beyond broad operational assumptions by using localized data to guide staffing, logistics, transportation planning, outreach scheduling, supervision structures, and resource deployment.

When integrated effectively, digital microplanning can help answer practical operational questions like:
– Which settlements remain underserved?
– Which routes create delays for field teams?
– Where are coverage gaps most likely to occur?
– Which communities require additional mobilization efforts?
– How can supervisors monitor field performance more effectively?

By improving operational precision, these systems contribute to more equitable healthcare access, particularly for populations that are geographically isolated or historically underserved. Importantly, they also reduce inefficiencies that place additional strain on already stretched healthcare systems.

Equity Begins With Visibility
Healthcare equity is often discussed in terms of funding, infrastructure, workforce capacity, or medical access. But equity also depends on visibility. Communities that are absent from planning systems are more likely to experience delayed services, weaker health outcomes, and lower inclusion in public health interventions.

Visibility creates the foundation for inclusion. When health systems know where people are, understand their realities, and can respond with greater precision, service delivery becomes more equitable and more effective.

This is why for us at eHealth Africa, strengthening health systems includes supporting the digital infrastructure, geospatial intelligence, and operational coordination mechanisms that improve healthcare delivery across vulnerable populations.

We strongly believe resilient public health systems are not built only in urban centers or policy discussions. They are built when even the most difficult-to-reach communities become visible enough to be served consistently, intentionally, and effectively.