MSS Digital Solutions
Digital Health · Geospatial Intelligence
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Our Work/Geo-ST4R — Kano State
Flagship Case Study • Kano State, Nigeria

Geo-ST4R — Geospatial Microplanning for
Better Immunisation Reach.

A facility-level deployment of the Geospatial Microplanning Toolkit (GMT) that equips health workers to plan routine immunisation sessions against mapped settlement geography — so communities that planning previously overlooked become visible, and reachable, in the microplan.

Geospatial Microplanning ToolkitFacility-level implementationRoutine immunisation • Zero-doseIllustrative maps — synthetic data

Content integrity notice. All maps, points and visualisations on this page are illustrative synthetic demonstrations and are labelled as such. MSS does not publish beneficiary totals, facility counts, implementation dates, financial values or quantified impact percentages without verification and partner approval.

01

Project Introduction

Geo-ST4R is MSS Digital Solutions' flagship geospatial programme, delivered in Kano State in collaboration with Natview Foundation, Data Science Network and Pathfinder International. It focuses on a specific, practical problem: routine immunisation microplans are frequently built from estimated catchment populations rather than the actual locations where children live.

The programme places the Geospatial Microplanning Toolkit (GMT) at health-facility level and trains the teams who prepare microplans — so outreach sessions are planned against mapped settlements, not assumed radii. The intended contribution is clearer visibility of previously overlooked communities within the planning process.

02

Kano State Context

Kano is among the most populous states in Nigeria, with a health system serving dense urban wards alongside widely dispersed rural and peri-urban settlements. That combination makes administrative catchments poor proxies for actual service coverage.

Facility networks are uneven: some facilities serve compact, high-density catchments, while others are nominally responsible for settlements spread across long distances with seasonal access. Planning that treats these as equivalent will systematically under-serve the dispersed ones.

Population scale
Large, young and geographically distributed
Settlement pattern
Dense urban wards + dispersed rural clusters
Access
Seasonal roads and long travel to fixed posts
03

Routine Immunisation Planning Challenge

Traditional microplanning allocates sessions using catchment estimates: total population divided by the number of facilities, or historical attendance extrapolated forward. Neither method knows where settlements actually are.

The consequences compound. Sessions are scheduled for places with thin or non-existent populations while settlements beyond a perceived radius receive no session at all. Overlapping catchments double-count communities; gaps leave others uncounted. The plan looks complete on paper and remains incomplete in the field.

Estimated catchments
  • —Population divided by facility count
  • —Outdated or paper settlement lists
  • —Overlapping or gapped coverage
  • —Sessions planned by assumption
Mapped settlements
  • Every settlement geolocated
  • Facility catchments verified
  • Gaps visible before the session
  • Sessions assigned to real places
04

The Zero-Dose Challenge

Zero-dose children — those who have not received a single routine immunisation antigen — tend to concentrate in settlements that are hardest to see: small, dispersed, seasonal, or simply absent from administrative lists.

Because microplans inherit that invisibility, a zero-dose cluster can persist for years not because services are refused, but because no session was ever planned for that place. Geo-ST4R addresses this upstream, at the point where the microplan is drafted.

Planning principle: a settlement that does not appear on the map cannot appear in the microplan — and a community that is not in the microplan is unlikely to receive an outreach session.

05

Settlement-Level Mapping

The foundation of the programme is settlement-level mapping: identifying and geolocating communities, then relating each to the facilities that serve them. Facility coordinates are verified so that proximity and accessibility analysis reflects reality rather than assumption.

Mapping is treated as a working process, not a one-off data product. As teams use the maps, discrepancies surface — a settlement listed in the wrong ward, a facility recorded at the wrong point — and are corrected through supervision.

Settlement identification & geolocation
Facility coordinate verification
Catchment assignment by proximity
Settlement-level gap flagging
06

Geospatial Microplanning Toolkit (GMT)

The GMT is the delivery instrument of the programme. It presents settlement and facility layers in a form facility teams can interpret without specialist GIS training, and supports the translation of mapped geography into session plans.

Its design principle mirrors MSS's operating philosophy: the tool must be usable by the team that prepares the microplan. Interfaces are kept legible on modest devices, language is operational rather than technical, and outputs map directly onto planning templates that health workers already complete.

Layered geography
Settlements, facilities, catchments and reach status in one view
Gap identification
Settlements without an assigned session surface immediately
Plan-ready outputs
Session assignment expressed in microplan terms
07

Facility-Level Deployment

The programme deliberately operates at facility level — the layer at which outreach is actually decided. Deploying at state headquarters alone would leave the microplan unchanged; deploying with facility teams changes who plans, and how.

Deployment included onboarding facility teams, establishing which settlements fell within each facility's responsibility, and supporting the first planning cycles with supervision until settlement-level planning became routine practice.

08

Health Worker Training

Training was practical and role-specific: reading settlement and facility layers, confirming whether a mapped community is currently served, and assigning sessions accordingly. The objective was competence in the planning decision, not familiarity with software features.

Support continued beyond the training room. Supportive supervision during subsequent planning cycles allowed questions to be resolved against real maps and real settlements, which is where adoption is won or lost.

Map reading & settlement recognition
Coverage gap interpretation
Session assignment & microplan drafting
09

Microplanning Methodology

The programme follows a repeatable sequence that any facility team can apply each planning cycle.

01
Map the geography
Confirm which settlements exist and where they are relative to the facility.
02
Verify service status
Determine which settlements currently receive outreach and which do not.
03
Assign sessions
Allocate sessions to unserved settlements rather than to assumed catchments.
04
Record and review
Log delivery and revisit the map so next cycle planning starts from updated reality.
10

Programme Contribution

Geo-ST4R's contribution is procedural: it changed the evidence base on which outreach sessions are planned at facility level. Settlements that were previously absent from planning discussions entered the microplan because they could be seen.

A second contribution is capability. Facility teams now hold a method they can repeat without external facilitation, which is the difference between a pilot that ends and a practice that continues.

On quantification. MSS does not publish beneficiary totals, facility counts, exact implementation dates or impact percentages for Geo-ST4R on this website. Verified programme results will be released only with partner approval and appropriate attribution.

11

Implementation Partners

Geo-ST4R is delivered with partners bringing complementary capability.

MSS
Natview Foundation
Geospatial & community intelligence
MSS
Data Science Network
Data science & analytics
MSS
Pathfinder International
Public health & programme expertise

No partnership, funding or contract values are disclosed on this website.

12

Replicability Across Other States

The method is intentionally portable. It depends on settlement and facility geography plus facility teams — not on a bespoke configuration. Each state adapts the sequence to its own settlement patterns, facility network and planning calendar.

Replication follows the same arc: map settlements and facilities, deploy the toolkit at facility level, train the planning teams, run supervised planning cycles, then verify that unserved settlements entered the plan.

Interactive — Illustrative Only

See how settlement-level planning reveals gaps.

Toggle settlement and facility layers to see how mapped geography exposes unserved communities. Every point below is synthetic and labelled — this is a demonstration of the planning logic, not operational GMT data.

Geospatial Microplanning — Illustrative Demo

Kano State • Settlement & facility layers • Synthetic data — not operational GMT data

KANO STATE — ILLUSTRATIVE EXTENT
+
−
© Illustrative • Not operational data
Facilities
6
catchment hubs
Reached
40
settlements
Unreached
21
priority

What the map shows

Traditional microplanning uses estimated catchment populations. GMT uses mapped settlement locations so teams plan against real geography — not assumptions.

Legend — Illustrative Layers
Health facility — session planning hub
Reached — has scheduled outreach
Unreached — gap, prioritise microplan
5 km catchment — proximity analysis
How GMT helps
  • •Visualise every settlement relative to facilities
  • •Identify missed clusters beyond perceived catchments
  • •Assign sessions to real places, not estimates
  • •Track coverage at settlement-level granularity

Data Integrity Notice

All points and boundaries are synthetic illustration to demonstrate capability. No confidential government, patient or programme dataset is displayed.

GEOSPATIAL • ILLUSTRATIVE