Tools and Guidelines
Comprehensive Resources Empowering Public Health Professionals with Advanced Tools and Clear Guidelines for Effective Disease Reporting and Surveillance in Africa
Data Design and Content
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IM Dashboard Style Guidance
This guideline provides the key components and best practices to help ensure that WHO AFRO dashboards, whether developed using any dashboard and report preparation tool, follow the organization’s visual identity and standards. By adhering to these guidelines, the region will be able to create consistent, professional dashboards that align with WHO’s branding, style, and data modelling best practices.
Datadot Design Language
Crafted specifically for data.who.int, the principles are based on in-depth research and requirements analysis, specifically targeted towards the unique challenges in communicating public health related data. They are rooted in extensive prototyping and testing with real data sets, user research, and industry best practice. The resulting guidelines provide a long-lasting foundation for current and future representations of data
Product Development
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Datadot Design Language
Crafted specifically for data.who.int, the principles are based on in-depth research and requirements analysis, specifically targeted towards the unique challenges in communicating public health related data. They are rooted in extensive prototyping and testing with real data sets, user research, and industry best practice. The resulting guidelines provide a long-lasting foundation for current and future representations of data
Datadot Design Language
Crafted specifically for data.who.int, the principles are based on in-depth research and requirements analysis, specifically targeted towards the unique challenges in communicating public health related data. They are rooted in extensive prototyping and testing with real data sets, user research, and industry best practice. The resulting guidelines provide a long-lasting foundation for current and future representations of data
Data Resources
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Datadot Design Language
Crafted specifically for data.who.int, the principles are based on in-depth research and requirements analysis, specifically targeted towards the unique challenges in communicating public health related data. They are rooted in extensive prototyping and testing with real data sets, user research, and industry best practice. The resulting guidelines provide a long-lasting foundation for current and future representations of data