Specialist support for organisations that need clearer epidemiological evidence, stronger public-health data systems, more reliable reporting and practical staff capacity.
epiGuider works with NGOs, Ministries of Health, United Nations agencies, development partners, public-health institutions, universities, research organisations and programme teams. Every engagement is scoped around the client’s context, data, decisions and internal capacity.
Consulting areas
Epidemiology and surveillance
Problem: surveillance data are collected but not consistently interpreted or translated into action.
Support: system review, outbreak monitoring, indicator development, epidemiological interpretation and situation reporting.
Deliverables: assessment, indicator framework, analysis plan, surveillance outputs or reporting templates.
For: surveillance teams, health programmes, NGOs and public-health authorities.
Health-information systems
Problem: fragmented data flows and reporting responsibilities limit reliable information use.
Support: information-needs analysis, data-flow assessment, indicator frameworks, database architecture, reporting workflows and documentation.
Deliverables: system map, requirements, data model, workflow and implementation guidance.
For: programmes, ministries, facilities and coordinating organisations.
Database design and improvement
Problem: spreadsheets and line lists are difficult to maintain, validate or analyse.
Support: structured Excel databases, epidemiological line lists, data dictionaries, validation, duplicate detection, cleaning and migration planning.
Deliverables: database, dictionary, validation rules, cleaning workflow and user guidance.
For: epidemiology, monitoring, research and programme teams.
Data quality
Problem: incomplete, inconsistent or poorly validated data undermine reporting confidence.
Support: quality assessment, validation rules, consistency checks, completeness monitoring and correction workflows.
Deliverables: DQA findings, rules, quality dashboard, issue log and improvement plan.
For: health-information, monitoring and programme-management teams.
Dashboards and data visualisation
Problem: decision-makers receive dense tables without a clear operational view.
Support: Excel, Power BI or R-based dashboards, scorecards and management visualisations.
Deliverables: dashboard, indicator definitions, visual standards, documentation and handover.
For: programme leaders, analysts, coordinators and reporting teams.
Automated reporting
Problem: repetitive calculation, copying and formatting delay reports and introduce errors.
Support: automated indicators, tables, charts, Word, PDF and PowerPoint outputs, and reproducible analytical workflows.
Deliverables: reporting system, templates, quality checks, documentation and training.
For: organisations with recurring surveillance or programme reports.
Digital data collection
Problem: paper or weakly configured forms create avoidable field and data-management errors.
Support: KoboToolbox and XLSForm design, digitisation, skip logic, validation, testing and deployment-readiness planning.
Deliverables: tested form, XLSForm, data dictionary, field checklist and management plan.
For: surveys, assessments, surveillance and monitoring teams.
GIS and spatial epidemiology
Problem: geographic patterns and service gaps remain hidden in non-spatial data.
Support: QGIS or ArcGIS workflows, facility and disease mapping, coverage visualisation and spatial analysis.
Deliverables: cleaned spatial data, maps, layouts, analytical outputs and methods notes.
For: surveillance, planning, research and programme teams.
Indicator and logframe development
Problem: unclear definitions and data sources produce inconsistent measurement.
Support: indicator selection, definitions, numerator and denominator specifications, targets, sources, frequency and controls.
Deliverables: indicator reference sheet, logframe, source map and reporting calendar.
For: programme, grant, monitoring and evaluation teams.
Public-health analytics
Problem: teams need reproducible analysis and clear interpretation of health data.
Support: descriptive and epidemiological analysis, statistical summaries, visualisation and interpretation using appropriate tools.
Deliverables: analysis files, tables, figures, methods notes and decision brief.
For: epidemiologists, researchers, analysts and programme managers.
Institutional training
Problem: new systems fail when staff cannot confidently maintain or use them.
Support: tailored workshops, mentoring, practical exercises and facilitator materials.
Deliverables: training plan, slides, exercises, templates, guides and handover session.
For: organisations strengthening epidemiology, data and reporting capability.
Technical writing and publication support
Problem: sound technical work is not always communicated clearly or consistently.
Support: epidemiological and medical reports, situation reports, briefs, manuals, training resources and operational-research documents.
Deliverables: structured draft, editorial review, tables and figures, templates or publication plan.
For: technical teams, researchers and programme leaders.
How an engagement begins
- Clarify the operational problem, users and decisions.
- Review available data, systems, reporting requirements and constraints.
- Agree a proportionate scope, deliverables, responsibilities and data-protection controls.
- Develop, test and document the solution with client review.
- Train users, hand over materials and agree any optional maintenance support.
Scope, timing and deliverables vary by engagement, so every assignment is priced individually — as a fixed price, in writing, before any work begins. You can get that price in two minutes with our instant quote: answer eight questions about the scope and you receive a fixed price you can pay online straight away (larger or on-site projects are confirmed in a short call first). Founding clients currently receive a 50% launch discount on the standard price.