South Africa has some of the richest public data in Africa. Census data. Health facility registers. Crime statistics. Disease surveillance. Satellite imagery. It exists.
The problem is not data. The problem is geography.
Traditional maps serve traditional economies. They assume infrastructure. They assume formal addressing. They assume that a postal code means something. In South Africa, it often does not. A single postal code can contain a suburb and an informal settlement. A clinic and a wholesaler fifty kilometres apart.
Her-Zone fixes that.
We built a geographic framework from the ground up. Every zone is sized for operational reality. Every data layer is stitched to that framework. The address is the starting point. The zone is the smallest denominator. The intelligence follows.
Built on trust. Governed by principle.
ISO 27001
Working toward certificationContinuous security monitoring. Information security management built into the platform from day one, not bolted on after.
POPIA
By DesignZone-level aggregation by design. Where individual facility data is stored, it is sourced from public statutory registers in accordance with POPIA. Privacy is structural, not policy.
Creative Commons
CC BY 4.0The Her-Zone geographic foundation is released under Creative Commons Attribution 4.0 International. Intelligence and enterprise layers are available under licence.
Data Provenance
Built from authoritative sources. Government open data. International health surveillance. Satellite earth observation. Commercial healthcare intelligence. Every source documented. Every transformation auditable. Designed for full traceability from zone to source.
Who this is for
Healthcare
We cannot see which zones are underserved.
Her-Zone shows you. Healthcare infrastructure, disease burden, and facility workload. By zone. Updated.
Government
We plan services on outdated boundaries.
Her-Zone gives you operational zones built for South African reality. Demographics, safety, infrastructure access. One framework for planning, monitoring, and allocation.
Financial Services
We assess risk on postal codes that mean nothing.
Her-Zone replaces postal codes with zones that carry economic activity data, demographic profiles, and infrastructure scores. Risk assessment grounded in reality.
Consumer and FMCG
We deploy field teams on territory maps drawn ten years ago.
Her-Zone gives you zones sized for operational execution. Market intelligence, distribution patterns, and opportunity scoring. Current. Granular. Actionable.
Flu Season Intelligence
Eleven years of sentinel surveillance. Every zone scored. Every season mapped.
National flu season coverage from 2014 to 2024, including the COVID-disrupted seasons of 2020-2021. Built from WHO FluNet sentinel surveillance data contributed by the NICD.
Every zone carries a flu vulnerability score derived from elderly population share, child density, HIV prevalence, climate suitability, healthcare access, pharmacy density, vaccination gaps, and historical burden.
Season onset and end dates use the WHO Moving Epidemic Method, the international standard for flu threshold calculation. Both fixed and MEM-derived thresholds are published for every season.
Province-level sentinel surveillance data from NICD reporting sites. Weekly positivity rates, strain dominance tracking (H1N1, H3N2, Victoria, Yamagata), and severity indices.
Open Data for Public Health
Flu season timing, weekly positivity rates, and province-level vulnerability data are freely available as CSV downloads for public health research. Full methodology documentation is published with every dataset.
Source: World Health Organization FluNet, Global Influenza Surveillance and Response System (GISRS). Data based on sentinel surveillance conducted by the National Institute for Communicable Diseases (NICD), South Africa. Additional data from NICD annual influenza surveillance reports, Open-Meteo Historical Weather API, and the Human Sciences Research Council (HSRC) SABSSM V survey.
Methodology: Flu Intelligence Methodology Appendix | WHO FluNet data licensed under CC BY-NC-SA 3.0 | Open-Meteo data licensed under CC BY 4.0