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  1. 4. Stratification
  2. 4.3 Seasonality
  • Code library for subnational tailoring
    English version
  • 1. Getting Started
    • 1.1 About and Contact Information
    • 1.2 For Everyone
    • 1.3 For the SNT Team
    • 1.4 For Analysts
    • 1.5 Acronyms and Resource Library
    • 1.6 Producing High-Quality Outputs
  • 2. Data Assembly and Management
    • 2.1 Working with Shapefiles
      • Spatial data overview
      • Basic shapefile use and visualization
      • Shapefile management and customization
      • Merging shapefiles with tabular data
    • 2.2 Health Facilities Data
      • Fuzzy matching of names across datasets
      • Health facility coordinates and point data
    • 2.3 Routine Surveillance Data
      • Determining active and inactive status
      • Routine data extraction
      • DHIS2 data preprocessing
      • Missing data detection methods
      • Health facility reporting rate
      • Contextual considerations
      • Data coherency checks
      • Outlier detection methods
      • Imputation methods
      • Final database
    • 2.4 Stock Data
      • LMIS
    • 2.5 Population Data
      • National population data
      • WorldPop population raster
    • 2.6 National Household Survey Data
      • DHS data overview and preparation
      • Prevalence of malaria infection
      • All-cause child mortality
      • Treatment-seeking rates
      • ITN ownership, access, and usage
      • Wealth quintiles analysis
    • 2.7 Entomological Data
      • Entomological data
    • 2.8 Climate and Environmental Data
      • Climate and environment data extraction from raster
    • 2.9 Modeled Data
      • Generating spatial modeled estimates
      • Working with geospatial model estimates
      • Modeled estimates of malaria mortality and proxies
      • Modeled estimates of entomological indicators
    • 2.10 Cost Data
  • 3. Situation Analysis
    • 3.1 Review of Past Interventions
      • Case Management
      • Routine Interventions
      • Mass ITN Campaigns
      • Chemoprevention Campaigns
      • Other Vector Control
    • 3.2 Trend Analysis
    • 3.3 Risk Factors
    • 3.4 Impact Evaluation
    • 3.5 Cost Analysis
  • 4. Stratification
    • 4.1 Epidemiological Stratification
      • Incidence overview and crude incidence
      • Incidence adjustment 1: incomplete testing
      • Incidence adjustment 2: incomplete reporting
      • Incidence adjustment 3: treatment-seeking
      • Incidence stratification
      • Prevalence and mortality stratification
      • Combined risk categorization
      • Risk categorization REMOVE?
      • Risk categorization REMOVE?
    • 4.2 Access to Care
    • 4.3 Seasonality
      • Defining Seasonal Areas
      • Durations of Seasonality
    • 4.4 Urban Microstratification
  • 5. Intervention Targeting and Prioritization
    • 5.1 Intervention Targeting
    • 5.2 Prioritization
    • 5.3 Optimization under Limited Resources

On this page

  • Overview
  • Sub-pages
  1. 4. Stratification
  2. 4.3 Seasonality

Seasonality

Methods for classifying malaria seasonality and timing seasonal interventions.

Overview

Seasonality refers to predictable, yearly changes driven by environmental factors such as rainfall, temperature, and humidity. In malaria, these changes matter because mosquito breeding and transmission depend heavily on rainfall. During rainy months, mosquito numbers and malaria cases rise; in dry months, breeding diminishes and cases drop.

Understanding these patterns helps programs plan when and where to act. Interventions such as Seasonal Malaria Chemoprevention (SMC), ITN distribution, and IRS campaigns are most effective when scheduled before or during the high-transmission season.

NoteObjectives
  • Identify areas with a seasonal rainfall pattern linked to predictable malaria transmission
  • Classify locations as seasonal or non-seasonal using the WHO 4-month rule
  • Compare alternative window durations (2-, 3-, 4-, 5-month blocks) to inform SMC timing
  • Produce maps and summaries for program decision-making
ImportantConsult the SNT team

Seasonality thresholds and window durations come from WHO recommendations, but rainfall and transmission patterns vary by country. Before applying or adjusting these rules:

  • Confirm the threshold (e.g., 60%) and window length are appropriate for the local context
  • Adjust if rainfall or malaria data show different timing patterns
  • Document and justify any modification to ensure national consistency

Sub-pages

Defining Seasonal Areas

WHO 4-month rule applied with a rolling-window method to classify locations as seasonal or not seasonal.

Durations of Seasonality

Compare 2-, 3-, 4-, and 5-month block durations to identify the best SMC start month.

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