Getting started: for the SNT team

This section is for members of the Subnational Tailoring (SNT) team who are leading or closely engaged with data-driven analysis. It outlines the SNT team’s responsibilities in the SNT analysis process, how to engage effectively with analysts, and key areas to supervise during the analysis lifecycle. See WHO’s SNT Manual and AHADI’s template terms of reference for the SNT team for more details on the composition, roles, and responsibilities of the SNT team, including aspects beyond the analytical portion of SNT.

Overview

This page is the entry point for SNT team members. It describes the responsibilities the SNT team retains during analysis, how to engage the analysis team, the analysis decisions that require SNT team input, and the data and methodological choices that fall under SNT team validation.

NoteObjectives

• Clarify the SNT team’s responsibilities across the analysis lifecycle.
• Outline how to recruit, brief, and supervise an analysis team.
• Provide a checklist of analysis items that require SNT team review.
• Surface common pitfalls, data-governance considerations, and cross-references to related pages.

Key Responsibilities Related to Analysis

The SNT team should expect to:

• Identify the key questions for SNT, provide context for the analysis, and set analysis aims and objectives
• Ensure that there is an analysis plan to respond to the key questions with clear, useful outputs
• Take an active role in the analysis process
• Select the analysis team
• Oversee the analysis team to produce timely, appropriate, comprehensible, and high quality analysis
• Decide on the operational unit for analysis
• Identify appropriate indicators and data sources
• Act as central data coordinator by extracting, assembling, and facilitating access to data
• Ensure appropriate use of data through guidance to the analysis team, including facilitating answers and clarifications from stakeholders outside the SNT team such as district officials as needed
• Interact frequently with the analysis team to give direction and feedback during active analysis periods
• Understand the analysis
• Contribute expertise to strengthening analysis approaches and validating results
• Decide which analysis products will be put to which use

The SNT team may find it helpful to:

• Request an analysis plan in advance from the analysis team
• Request additional explanations from the analysis team
• Request technical training from the analysis team

Recruiting an Analysis Team

See Annex 1 — Terms of reference for the SNT team lead in WHO’s SNT Manual for WHO’s recommended composition and responsibilities of the SNT analysis team. AHADI also provides recommendations on SNT analyst competencies.

Multiple skill sets are required for SNT analysis. Usually these skills do not exist all in the same individual, and multiple analysts are needed to carry out all the analysis tasks of SNT. Some or all of these skills may exist already in the national malaria program (NMP). If an external analysis team will be recruited to support the SNT process, it should complement existing capacities in the NMP such that the recruited team should together possess all the technical capacities needed.

The minimum set of skills required for a full SNT analysis exercise generally include:

• Data collection and management: assembling, cleaning, harmonizing, and documenting data from multiple sources (routine surveillance data, campaigns data, household surveys, shapefiles, etc.)
• Data visualization: producing clear maps, plots, and tables that support comparison across administrative units, time, and indicators
• Basic descriptive and statistical analysis: computing indicators, coverage estimates, trends, and impact evaluations
• Geostatistical analysis: producing or interpreting model-based geostatistical estimates of indicators
• Mathematical modeling: predicting epidemiological impact of candidate intervention scenarios
• Costing and health economics: producing unit costs from budgets or historical spending data to estimate costs and cost-effectiveness of candidate intervention scenarios

AHADI’s SNT Roadmap Template provides a detailed breakdown of analytical skills needed for each step of the SNT analysis.

Whether internal or external, analysts should be familiar with SNT concepts, understand what analyses to conduct, and be ready to take instruction from the SNT team.

Working with the Analysis Team

As the national governing body of the SNT process, the SNT team is responsible for ensuring data and methods are appropriate and that results are valid. The SNT team must take a strong supervisory role over the analysis team and ensure that the analysis remains aligned with national objectives. The SNT team must feel comfortable asking the analysis team for explanations, requesting changes, and making decisions on validity and use of analysis results.

The SNT team should request that analysts keep good records of their work. This may include storing all analytical process and results details through a growing PowerPoint slide deck (or other living document), which is shared with the SNT team at each update. The living document should also include records of discussions with the SNT team and their conclusions, such that the complete record of analysis exists in a single place. This record, while extensive, should explain in a clear and logical way what was done, what was decided, and why. Analysts should also keep minutes of SNT team discussions pertaining to their work and disseminate minutes after meetings along with clear action items and assignees.

The SNT team should invite experts to meetings when their areas of expertise are being discussed (for example, invite entomologists when vector control and entomological data are reviewed and presented), so that the analysis outputs are as validated and appropriate for decision-making as possible.

Roles and Responsibilities

The table below summarizes how responsibilities are typically split between the SNT team and the analysis team. Roles may be adapted to the country context, but decision-making authority always sits with the SNT team.

Activity	SNT team	Analysis team
Set analysis aims and key questions	Decides	Advises
Analysis plan	Approves	Drafts
Identify and approve data sources	Decides	Reviews and flags issues
Extract and share raw data	Coordinates	Receives and processes
Analytical methods	Guides and validates	Proposes and executes
Analytical products	Validates and uses	Generates and explains
Translate evidence into program decisions	Decides	Supports interpretation
Document the analysis	Reviews and archives	Leads

Checklist of Analysis Items for the SNT Team’s Review

See Annex 2 — Proposed data checklist in WHO’s SNT Manual and AHADI’s SNT Roadmap Template for data checklists for SNT.

The questions that the SNT team should ask of their analysts vary for each step of the SNT process. At any given step in the analysis, the SNT team generally provides guidance, facilitates data access and proper interpretation, validates outputs, and translates evidence generated in the course of the SNT exercise into decisions:

• Guidance: SNT team should expect to review and validate the analysis plan or proposed approach, and provide key decisions that determine the course of analysis
• Data source: SNT team should expect to facilitate sharing of a validated and approved dataset with the analysis team
• Consultation: SNT team should expect the analysis team to have detailed questions for the SNT team
• Validation: SNT team should expect to review and discuss analytical outputs regularly and validate the results for decision-making
• Translation: SNT team should expect to make decisions based on the evidence generated through the SNT process

The different steps of the analysis process included in this library include specific questions or areas of review that the SNT team should expect to be raised during the SNT process. These should be taken as a starting point, not as a comprehensive list of what needs to be discussed with the SNT team. The list below provides a summary of these considerations:

Warning

This list is partial and items will be added as more pages of the code library are completed.

Operational Unit for Decision-Making

Before any analysis begins, the SNT team must agree on the operational unit and the official source of admin unit names. The table below lists the specific decisions and inputs expected at this stage.

Type	Topic	What the SNT team should do
Guidance	Operational unit	Decide on the operational unit for decision-making before any analysis begins.
Guidance	Admin source of truth	Indicate which source (shapefile, master facility list, DHIS2, etc.) is the official version of admin unit names.
Data source	Official shapefile	Ensure the analysis team uses official national shapefiles at this operational unit level and larger.
Consultation	Shapefile issues	Provide guidance on how to resolve overlapping admin units, inexact duplicates made for planning, or other shapefile problems.
Validation	Visualized shapefiles	Review and validate visualized shapefiles at the beginning of SNT.

Health Facility Lists

The SNT team should guide local naming conventions, resolve facility-list discrepancies, and validate the method used to define facility activity status.

Type	Topic	What the SNT team should do
Guidance	Naming conventions	Provide guidance on local naming conventions and abbreviations used for health facility names.
Guidance	Facility list reconciliation	Resolve differences in facility names between the master health facility list and the routine surveillance database, including fuzzy-match validation, admin unit reassignment, and facilities appearing in only one list.
Consultation	Coordinates issues	Resolve issues such as facility coordinates with missing names, duplicate names with different coordinates, or coordinates outside admin unit boundaries.
Consultation	Facility activity status	Discuss and validate the method used to define facility activity status, such as a master facility list approach vs reporting-based definitions.

Routine Epidemiological Surveillance Data

Preparing routine data for analysis

The SNT team’s responsibilities for routine data preparation include: sharing a clean extraction, guiding the analysis team’s calculation choices, and consulting on real-world data practice.

Type	Topic	What the SNT team should do
Data source	DHIS2 extraction	The NMP data manager or HMIS representative should share a valid extraction of routine surveillance data with the analysis team, together with a data dictionary.
Guidance	Variable definitions	Work with the HMIS focal person to clarify data element names and definitions (admissions vs outpatients, pregnant women vs adults, RDT vs microscopy double counting, private sector inclusion, CHW data placement, variable changes across years, etc.).
Consultation	Data practice context	Explain reporting realities to the analysis team: sentinel facilities for malaria deaths, ANC/IPTp dose vs gestational age reporting, zero-vs-blank entry practice, and changes in these practices over time.
Guidance	Summing data elements	Confirm which DHIS2 data elements should be summed to obtain the correct total, and how to handle pre-computed totals that disagree with the sum.
Guidance	Presumed cases	Indicate which calculation method is appropriate when the presumed cases variable is not already included.
Guidance	Duplicate records	Provide a rule for resolving duplicate facility-month records with conflicting data before analysis can proceed.
Guidance	Facility type rules	Declare which facility types are inpatient vs outpatient and which indicators each type is expected to report.

Quality control of routine data

Outlier handling, coherency checks, and imputation must all be discussed with the SNT team before being applied.

Type	Topic	What the SNT team should do
Consultation	Individual outliers	Investigate individual outliers together with a focal person, reaching out to district focal people where needed, before outliers are removed or corrected.
Validation	Outlier detection method	Review outlier detection results and select the method (if any) most likely to identify true outliers; guide the analysis team if no method performs well.
Consultation	Case management practice	Explain clinical case management and referral practices so that relevant coherency checks can be identified; flag practice changes during the analysis period so irrelevant years can be excluded.
Validation	Coherency assessment results	Discuss coherency assessment results to ensure conclusions align with practical experience.
Translation	Incoherent records follow-up	Receive tables of incoherent records by facility-month for follow-up with relevant focal points.
Guidance	Outlier correction and imputation	Confirm which method, if any, should be used to correct outliers and impute missing data, after the analysis team presents the extent, nature, and impact of the proposed correction.
Translation	Surveillance integration plan	Ensure there is a plan to feed corrections back to the core surveillance focal points and minimize future database issues.

Routine data reporting rates

Reporting-rate calculations depend on facility-status definitions and on which facilities are expected to report each indicator.

Type	Topic	What the SNT team should do
Guidance	Active/inactive status	If no database tracks monthly activity status of health facilities, provide a rule (for example, 6 months of non-reporting marks a facility inactive) for determining facility status.
Consultation	Expected reporters per indicator	Be consulted on which facility types are expected to report each indicator (for example, excluding outpatient clinics from hospital-admissions reporting rates).
Guidance	Weighted vs unweighted rates	Indicate whether weighted or unweighted reporting rates should be used to estimate unreported cases; both may be prepared for side-by-side review.

Household Survey Data (DHS/MIS)

Survey choices touch source, indicator definitions, statistical power, and validation against programmatic knowledge.

Type	Topic	What the SNT team should do
Data source	Survey rounds and admin level	Confirm which years of which surveys (DHS, MIS, MICS, or national equivalents) will be used, at what admin level, and whether to use survey microdata directly or published indicator estimates.
Guidance	Indicator definitions	Confirm which definition is appropriate when indicators have multiple plausible specifications (ITN access, ITN use the previous night, IPTp doses received, care-seeking for fever, effective treatment of malaria).
Consultation	Precision and small-area estimates	Be consulted on acceptable precision (confidence intervals, design effects) and on whether modeled small-area estimates are appropriate for use.
Validation	Survey-derived indicators	Review survey-derived indicators alongside any modeled estimates and validate that the numbers are consistent with local knowledge.

Population Denominators

Population sources, including any growth parameters, must come from datasets the SNT team has approved.

Type	Topic	What the SNT team should do
Data source	Official population data	Designate the official population dataset to be used in analysis.
Guidance	Estimated population data	Approve any estimated population sources (such as WorldPop) and validate them against known local population patterns before they are used (for example, to estimate the population beyond 5km from the nearest facility or to generate population-weighted raster averages).
Data source	Growth rates	Source and approve any population growth parameters if growth rates are to be applied.

Climate Data

Climate data choices depend on whether national or global sources are used, and both require validation.

Type	Topic	What the SNT team should do
Data source	Climate data source	Decide whether to use national meteorological or weather-station data, or global sources; facilitate access and clarifications when national data are used.
Validation	Climate data validation	Review and validate climate data before use in later analyses, comparing global rasters against locally available meteorological data where possible.

Intervention Campaign Data

Campaign data require explicit source decisions, denominator choices for coverage, and cross-checks against household survey estimates.

Type	Topic	What the SNT team should do
Data source	Authoritative source	Identify authoritative source(s) for campaign and routine intervention administration or coverage data (ITN distribution, SMC, IRS, IPTp, vaccination); decide which is authoritative when multiple sources exist.
Guidance	Coverage denominator	Confirm which denominator to use (target population, eligible population, planned doses) and ensure it is applied consistently across years and admin units.
Consultation	Data quality	Advise on handling over-reporting from campaigns, missing post-campaign surveys, and discrepancies between administrative and survey-based coverage.
Validation	Coverage cross-checks	Cross-check administrative against survey coverage and validate decisions on data source to use when estimates disagree.

Estimating Care-Seeking Rate

Care-seeking estimation involves source-of-care decisions, denominator choices, interpolation between surveys, and validation against local knowledge.

Type	Topic	What the SNT team should do
Guidance	Sources of care	Inform the analysis team which public and private sources of care to include when considering where patients may obtain effective treatment for malaria, since definitions vary by country.
Guidance	Denominator definition	Provide guidance on which denominator to use (all recent fevers, or only fevers that were RDT-positive at the time of the survey); both can be prepared for side-by-side review.
Guidance	Interpolation method	Specify a preferred interpolation method for years without surveys.
Validation	Care-seeking maps	Review output maps to ensure care-seeking estimates align with local realities, and guide the analysis team on how to proceed where results look unrealistic.

Mortality Data

The mortality data choice has high downstream impact and must be deliberately selected and validated.

Type	Topic	What the SNT team should do
Guidance	Mortality data source	Decide, after reviewing all options, which source of malaria mortality or proxy mortality to use for decision-making (under-5 all-cause mortality from surveys or rasters, malaria mortality from routine data, or another source).
Consultation	Continuous mortality thresholds	Set thresholds for continuous mortality indicators with the analysis team.
Validation	Geospatial mortality estimates	If using, validate geospatial mortality estimates before any subsequent analysis, comparing against other national mortality sources where possible.

When Working with Estimates from Geospatial Models

The SNT team decides whether to use modeled estimates, must understand the modeling approach, and must validate all geospatial outputs before they are used downstream.

Type	Topic	What the SNT team should do
Data source	Source of modeled estimates	Decide whether to use modeled estimates for an indicator (for example, parasite prevalence) and whether estimates will be generated in-house or sourced from pre-existing databases.
Consultation	Modeling approach briefing	Expect to be briefed on the modeling approach (covariates, data sources, key assumptions); inform the approach when estimates are generated by the analysis team.
Validation	Geospatial outputs	Review and validate all geospatial outputs, whether pre-existing or analysis-team-generated, before they are used in subsequent analyses.

Stratification Methodology Choices

Stratification requires explicit decisions on indicators, combination methods, thresholds, and validation of the final maps.

Type	Topic	What the SNT team should do
Guidance	Thresholds	Set thresholds that translate continuous indicators into strata categories after reviewing the empirical distribution and the analysis team's candidate options.
Consultation	Indicator conflicts	Decide which indicator takes precedence when indicators conflict (for example, high incidence but low prevalence) and provide the rationale.
Guidance	Indicators and combination rule	Decide which indicators to use for decision-making, whether multiple indicators should be combined (for example to create a single indicator of malaria burden from prevalence, incidence, and mortality), and if so, how (composite score, decision tree, classification rules).
Validation	Final stratification maps	Validate the final stratification maps for decision-making, including with district-level stakeholders where appropriate.

Presenting Results

Results must support downstream decision-making, with mapping thresholds and presentation tuned by indicator and purpose.

Type	Topic	What the SNT team should do
Guidance	Presentation review	Ensure analysis results (maps, plots, tables) clearly present all information needed for decision-making, and give feedback to improve presentation where needed.
Guidance	Mapping thresholds	Inform the analysis team which thresholds (bins) are appropriate when mapping quantitative data, recognizing that a single indicator may need different thresholds for different purposes.

Intervention Targeting Decisions

Targeting brings together programmatic feasibility, modeled impact, and operational realities, and culminates in SNT team-approved targeting maps.

Type	Topic	What the SNT team should do
Guidance	Intervention eligibility	For each intervention of interest, define criteria for eligibility.
Guidance	Targeting adjustments	Adjust intervention targeting logic to account for operational feasibility (for example, an intervention that is unfeasible in remote areas), equity, or other factors that are not already captured in stratification maps.
Translation	Decision-making	Use subnationally-tailored intervention targeting in national strategic plans, funding applications, advocacy, operational plans, etc.

NoteMaster Checklist

The master checklist aggregates every row from the per-section tables above so the SNT team can carry a single artefact into working sessions and tick decisions off as they are made.

Stage	Type	Topic	Action
Operational unit	Guidance	Operational unit	Decide on the operational unit for decision-making.
Operational unit	Guidance	Admin source of truth	Indicate which source is the official version of admin unit names.
Operational unit	Data source	Official shapefile	Use official national shapefiles at the operational unit level and larger.
Operational unit	Consultation	Shapefile issues	Guide resolution of overlapping admin units, duplicates, or other problems.
Operational unit	Validation	Visualized shapefiles	Review and validate visualized shapefiles at the start of SNT.
Health facility lists	Guidance	Naming conventions	Provide local naming conventions and abbreviations.
Health facility lists	Guidance	Facility-list reconciliation	Resolve differences between master facility list and routine surveillance database.
Health facility lists	Consultation	Coordinates issues	Be consulted on missing or out-of-boundary facility coordinates.
Health facility lists	Consultation	Facility activity status	Discuss and validate the facility activity-status method.
Routine data: preparation	Data source	DHIS2 extraction	Share a valid extraction with a data dictionary.
Routine data: preparation	Guidance	Variable definitions	Clarify data element names and definitions with the HMIS focal person.
Routine data: preparation	Consultation	Data practice context	Explain sentinel facilities, ANC/IPTp reporting, zero-vs-blank practice.
Routine data: preparation	Guidance	Summing data elements	Confirm which elements sum to the correct total.
Routine data: preparation	Guidance	Presumed cases	Choose a calculation method when the column is missing.
Routine data: preparation	Guidance	Duplicate records	Provide a rule for resolving duplicate facility–month records.
Routine data: preparation	Guidance	Facility type rules	Declare inpatient vs outpatient reporting expectations.
Routine data: quality control	Consultation	Individual outliers	Investigate individual outliers with district focal points.
Routine data: quality control	Validation	Outlier detection method	Select the outlier detection method most likely to identify true outliers.
Routine data: quality control	Consultation	Case management practice	Explain case management and referral practices and flag changes over time.
Routine data: quality control	Validation	Coherency-check results	Discuss coherency-check results against program practice.
Routine data: quality control	Translation	Incoherent records follow-up	Receive tables of incoherent records for follow-up.
Routine data: quality control	Guidance	Outlier correction and imputation	Confirm correction and imputation methods after reviewing impact.
Routine data: quality control	Translation	Surveillance integration plan	Ensure corrections feed back into the surveillance database.
Routine data: reporting rates	Guidance	Active/inactive status	Provide a rule for determining active/inactive facility status.
Routine data: reporting rates	Consultation	Expected reporters per indicator	Advise on which facility types are expected to report each indicator.
Routine data: reporting rates	Guidance	Weighted vs unweighted rates	Indicate whether weighted or unweighted reporting rates should be used.
Household surveys	Data source	Survey rounds and admin level	Confirm rounds, admin level, and microdata vs published estimates.
Household surveys	Guidance	Indicator definitions	Choose the appropriate definition when multiple plausible specifications exist.
Household surveys	Consultation	Precision and small-area estimates	Discuss acceptable precision and modeled small-area estimates.
Household surveys	Validation	Survey-derived indicators	Validate survey-derived indicators against programmatic knowledge.
Population denominators	Data source	Official population data	Designate the official population dataset.
Population denominators	Guidance	Estimated population data	Approve and validate estimated population sources before use.
Population denominators	Data source	Growth rates	Source and approve any population growth parameters.
Climate data	Data source	Climate data source	Decide between national meteorological and global sources.
Climate data	Validation	Climate data validation	Review and validate climate data before use.
Intervention coverage	Data source	Authoritative coverage source	Identify authoritative campaign and routine coverage sources.
Intervention coverage	Guidance	Coverage denominator	Confirm which denominator to use and ensure consistent application.
Intervention coverage	Consultation	Coverage data quality	Advise on over-reporting, missing surveys, and source discrepancies.
Intervention coverage	Validation	Coverage cross-checks	Validate source-prioritization decisions when estimates disagree.
Treatment-seeking	Guidance	Sources of care	Inform which public and private sources of care to include.
Treatment-seeking	Guidance	Denominator definition	Decide between all recent fevers and RDT-positive fevers as denominator.
Treatment-seeking	Guidance	Interpolation method	Specify a preferred interpolation method for years without surveys.
Treatment-seeking	Validation	Care-seeking maps	Review output maps against local realities.
Mortality data	Guidance	Mortality data source	Decide which source of mortality or proxy mortality to use.
Mortality data	Consultation	Continuous mortality thresholds	Discuss thresholds for continuous mortality indicators.
Mortality data	Validation	Geospatial mortality estimates	Validate geospatial mortality estimates against national sources.
Geospatial models	Data source	Source of modeled estimates	Decide whether to use modeled estimates and where they come from.
Geospatial models	Consultation	Modeling approach briefing	Expect to be briefed on covariates, data sources, and assumptions.
Geospatial models	Validation	Geospatial outputs	Validate all geospatial outputs before downstream use.
Stratification	Guidance	Thresholds	Set thresholds for translating continuous indicators into strata.
Stratification	Consultation	Indicator conflicts	Decide which indicator takes precedence when indicators conflict.
Stratification	Guidance	Indicators and combination rule	Decide which indicators to use and how to combine them.
Stratification	Validation	Final stratification maps	Validate the final stratification maps with stakeholders.
Presenting results	Guidance	Presentation review	Ensure results clearly present all information needed for decision-making.
Presenting results	Guidance	Mapping thresholds	Inform which thresholds (bins) are appropriate for mapping quantitative data.
Intervention targeting	Guidance	Intervention eligibility	Define criteria for eligibility per intervention.
Intervention targeting	Guidance	Targeting adjustments	Adjust targeting logic for operational feasibility and equity factors.
Intervention targeting	Translation	Decision-making	Use SNT-tailored targeting in NSPs, funding applications, advocacy, and operational plans.

Tip

This checklist is meant to help the SNT team engage with analysis, not replace deep thinking. Always consider what’s appropriate for the context and don’t hesitate to push for improvements.

Data Sharing, Governance, and Ethics

See the guidance on data governance and country ownership in WHO’s SNT Manual for the principles that underpin data sharing between the SNT team and analysts.

The SNT team is the custodian of the data shared with the analysis team. Clear governance arrangements protect data subjects, ensure that data are used only for agreed purposes, and reduce the risk of leakage or misuse.

• Data-sharing agreements: every transfer of routine surveillance, survey microdata, or facility-level records should be governed by a written data-sharing agreement that specifies allowed uses, retention period, sub-licensing rules, and the procedure for deletion at the end of the engagement.
• Personally identifiable information: household survey microdata and any line-list health records may contain identifiers or near-identifiers. The SNT team should confirm that data have been de-identified before sharing, or that the analysis team operates within appropriate safeguards.
• Ethics and approvals: when analysis goes beyond programmatic use (for example, publication or secondary research), the SNT team should confirm that an ethics review is in place.
• Storage and access: the SNT team should agree with the analysis team on where data are stored, who can access them, and how access is revoked when team members leave.
• Acknowledgement and attribution: the SNT team should set expectations on how the data source is acknowledged in outputs and on co-authorship for any publications.

Potential Pitfalls

WarningPitfalls to avoid

• Omitting to ensure the appropriate experts are engaged at the right time such that their participation in the analysis process results in the incorporation of their expertise into data use and decision-making
• Approving outputs without examining how indicators were defined, what denominators were used, and which records were excluded
• Allowing outlier correction, imputation, or modeling choices to be made without explicit SNT team sign-off
• Comparing maps or estimates across years without confirming that admin boundaries, facility lists, and indicator definitions are consistent
• Combining administrative coverage and survey coverage in the same plot without flagging the difference in source
• Underestimating the time required for data assembly, quality review, and validation workshops
• Losing the audit trail. The living document, minutes, and decision log should remain current throughout the analysis.

Related Pages

The pages below provide step-by-step technical guidance on the specific analyses referenced in the checklist above.

• Getting started: for analysts, for everyone, acronyms
• Data assembly: shapefiles, master facility lists, routine surveillance, household surveys, climate, and population pages under the Data section
• Stratification and modeling: epidemiological stratification, seasonality, and modeled estimates under the Stratification section
• Interventions: past coverage and quality review under the Interventions section