Data Dictionary

Column Type Label Description
Districts text
Malaria Cases text
Incidence text

Additional Information

Field Value
Baseline Year 2025
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Data Source Rwanda Biomedical Center Malaria Surveillance System, Health Management Information System (HMIS), District Health Information System, National Malaria Control Program, Health Facility Reports
Dimensions - Geographic level (National, District) - Administrative units (30 Districts across 5 Provinces) - Case classification (Confirmed malaria cases, Clinical malaria cases) - Age groups (Under-5 children, 5+ years, All ages) - Seasonality (Rainy season, Dry season, Annual totals) - Transmission zones (High transmission, Moderate transmission, Low transmission) - Case detection (Passive case detection, Active case detection) - Diagnostic method (Microscopy confirmed, RDT confirmed, Clinical diagnosis)
Indicator Code RW-HSI-MORB-MAL-001
Indicator Unit Cases per 1000 population per year
Methodology Data collected through comprehensive malaria surveillance system with district-level disaggregation: CASE DEFINITION AND CLASSIFICATION: - Confirmed malaria cases: Laboratory-confirmed (microscopy or RDT) malaria infection - Clinical malaria cases: Clinically diagnosed malaria without laboratory confirmation - Case classification aligned with WHO malaria surveillance guidelines - Standardized case definitions across all health facilities and districts MALARIA SURVEILLANCE SYSTEM: - Passive case detection through health facility-based surveillance - Active case detection in high-risk areas and outbreak investigation - Community case management through community health workers - Laboratory confirmation using microscopy and rapid diagnostic tests (RDTs) - Weekly epidemiological surveillance reporting from health facilities DATA COLLECTION AND AGGREGATION: - Weekly malaria case reporting from all health facilities - District health office consolidation and validation - Monthly district surveillance reports to national level - Cross-validation between HMIS and malaria surveillance databases - Population denominators from national census and projections INCIDENCE RATE CALCULATION: - Incidence rate = (Total malaria cases / District population) × 1000 - Population denominators based on latest census data and annual projections - Age-specific and overall population incidence rates calculated - Seasonal and annual incidence patterns analyzed - Geographic risk stratification based on incidence levels QUALITY ASSURANCE: - Weekly surveillance data validation at district level - Monthly cross-checks between different surveillance systems - Annual surveillance system evaluation and data quality assessment - Laboratory quality control for diagnostic confirmation - Training and supervision of surveillance focal points
Reporting Org Rwanda Biomedical Center
Value Type value