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Vector Atlas

icipe
Kenya
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About

Launched: 2024
Record Updated: Sep 30, 2026
Geospatial data tool or platform
Open scholarly dataset
Repository service
The Vector Atlas is an international project dedicated to synthesising complex vector data into intuitive mapped surfaces to support vector control decision making. At its core is the Vector Atlas Data Base (VADB), built over the past three years and continuing to expand. The VADB combines African vector occurrence, bionomics and insecticide resistance data alongside human behaviour, local environment and community information.

Domain Relevance

  • Biological sciences
  • Health sciences

Mission

Analyses ready data and spatial models tailored to support vector control decision making

Key Achievements

Over 40000 rows of spatial malaria vector data now available for Africa that support a suite of comprehensive species suitability and insecticide resistance maps that are all available open access via the Vector Atlas platform.

Technical Attributes

Maintenance Status

Actively Maintained

Open Code Repository

Implemented
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Technical Documentation

Implemented
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Code License

Implemented
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Open API

Implemented
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Technical Attribute Statements

Programming Languages

  • r
  • typescript

Technology Readiness Level

  • Actual system proven in operational environment

Code Licenses Used

  • MIT License

Content Licensing

  • Creative commons licenses

Standards

Community Engagement

Community Engagement

Implemented
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Community Statements

User Contribution Pathways

  • Contribute to education or training

Community Engagement Activities

  • Annual meetings
  • Staff roles with responsibility for community engagement
  • User research
  • Webinars and training

Policies & Governance

Policies

Policy Statements

Access Conditions

  • Open without restrictions

Community Governance

  • Ad hoc

Additional Information

Organizational History

The Vector Atlas builds on a long history of malaria vector mapping (originally via the Malaria Atlas Project). The Vector Atlas is dedicated to providing the most comprehensive and up to date analyses-ready malaria vector spatial data which in turn underpins newly developed continental scale species suitability and insecticide resistance maps. We work closely with our country partners to support their development of national scale spatial models to provide maps to support vector control decision making.

Organizational Structure

Business or Ownership Model

Distributed institutional partnership

Current Affiliations

University of Oxford

Funding

Primary Funding Source

  • Contributions

Revenue Sources

  • Grants (private)
  • In-kind contributions
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