hellojibriva/Nigeria-brucellosis-WAHIS-dashboard

Interactive dashboard for analysing reported livestock brucellosis surveillance signals, reporting coverage and geographic patterns in Nigeria. **Livestock Brucellosis Surveillance Dashboard — Nigeria** Interactive surveillance dashboard | WOAH WAHIS | Nigeria | 2008–2023 A standalone, fully interactive web dashboard examining reported livestock brucellosis surveillance events in Nigeria using the WOAH World Animal Health Information System (WAHIS) quantitative export. Live dashboard · Source repository The project demonstrates a reproducible workflow from raw surveillance data through validation, analytical transformation, visualization and interactive reporting. It deliberately distinguishes reported surveillance activity from true disease burden, because the underlying WAHIS extract does not contain the denominators or animal-level outcome data required to estimate prevalence, incidence or mortality. **At a glance** Metric Result Study period 2008–2023 WAHIS records 24 Reported new outbreaks 39 Administrative units represented 15 of 37 Reporting years 10 of 16 Half-year reporting periods 16 of 32 Disease categories 3 Fields empty in every record 11 of 17 Key findings 39 reported new outbreaks were recorded across 24 WAHIS records. These are different measures: one record can contain more than one reported outbreak. Reporting was intermittent, with records present in only 16 of 32 possible half-year periods and 10 of 16 years. 15 of 37 Nigerian administrative units were represented in the extract. North Central and North West accounted for 30 of 39 reported outbreaks (76.9%). This is a concentration of the reported surveillance signal, not evidence of confirmed epidemiological hotspots. The reporting-semester distribution was 17 Jan–Jun versus 22 Jul–Dec. This is a reporting-period distribution and is not interpreted as seasonality. 11 of 17 tracked fields were unpopulated in every record, including Cases, Susceptible, Deaths and Vaccinated. Consequently, the extract supports analysis of reported surveillance events and reporting coverage, but not population-level disease burden estimates. Why this p …