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Population density is derived from the same user-supplied 2022 reference population used for attack-rate denominators elsewhere in this dashboard, divided by each GADM polygon’s area (computed geodesically from the boundary file). It covers only the 8 districts that could be matched to a GADM polygon; Boinsen, Tukpahblee, and Yeallequelleh have no corresponding polygon and are excluded (see bong_district_analysis.Rmd for the full population reconciliation). Jorquelleh is both the most densely populated district and the one with the largest recorded caseload across all six surveillance categories (8 of 8 districts have at least one recorded event) - since it also hosts the county’s main referral hospital, higher density, genuinely higher transmission, and better access to reporting facilities cannot be disentangled from this dataset alone. Disease-specific attack-rate and CFR maps are shown on the Measles, Lassa fever, and Mortality pages rather than here, to avoid combining communicable-disease and mortality-surveillance indicators into a single misleading composite.
Measles accounts for 1353 cases and 10 deaths across the reporting period (CFR 0.7%). Jorquelleh district carries the largest share of cases (Jorquelleh). 6 week(s) exceeded the prior 4-week mean by more than 2 standard deviations and are flagged above as possible signals requiring field verification - they are not confirmed outbreaks. Age-group data are missing for 0 of 1590 Bong records overall; a stated Measles-specific vaccination target/coverage figure is not available in this workbook, so vaccination coverage cannot be assessed here.
Lassa fever accounts for 118 cases and 7 deaths (CFR 5.9%) over the reporting period - a substantially smaller case volume than Measles, so weekly counts (and the district-level AR/CFR maps above) are more susceptible to random fluctuation and small-number instability. 3 week(s) are flagged as possible signals and require field verification before being treated as outbreak activity. No sample-positivity indicator could be linked confidently to Lassa-specific confirmatory testing in this extract; laboratory results are summarized only at the whole-dataset level in the main county report.
| gis_district | Neonatal death | Perinatal death | Maternal death | Stillbirth |
|---|---|---|---|---|
| Fuamah | 3 | 4 | 0 | 0 |
| Jorquelleh | 14 | 9 | 14 | 0 |
| Kokoyah | 1 | 0 | 1 | 0 |
| Salala | 0 | 0 | 1 | 0 |
| Sanayea | 0 | 0 | 2 | 2 |
| Suakoko | 14 | 37 | 11 | 0 |
| Zota | 0 | 2 | 0 | 4 |
These four categories (maternal, perinatal, neonatal death, and stillbirth) are mortality-surveillance events, not a communicable disease - by definition nearly all recorded events are deaths, so the CFR maps above will read close to 100% almost everywhere and should be interpreted as a data-structure artefact, not a fatality risk estimate. A total of 119 such events were recorded in Bong County over the reporting period (all years). The AR/CFR maps above are restricted to 2026 only (windowed columns and the cumulative column alike), to keep the current-year picture from being diluted by 2025 volumes; totals elsewhere on this page cover the full reporting period unless noted. The attack-rate maps (events per 100,000 population) are more informative here than the CFR maps. These figures depend heavily on facility-based reporting completeness (no reports-expected/received log is available in this workbook to assess how complete this count is), and community deaths that never reach a health facility are not captured.