Webinar: Improving performance with 7-1-7 bottleneck analysis
Webinar held on October 24, 2024 focusing on conducting effective bottleneck analysis with 7-1-7 to improve outbreak detection, notification and early response.
Widespread adoption of 7-1-7 in Uganda leads to rapid improvement
Deploying 7-1-7 during successive measles and Crimean-Congo hemorrhagic fever outbreaks in Uganda helped districts improve their detection, notification and early response systems.
7-1-7 tools give Kenya a leg up on Rift Valley Fever response
With 7-1-7, Kenya was able to identify barriers to an effective response to a mosquito-borne Rift Valley Fever outbreak and quickly get resources to the affected region.
Using 7-1-7 as part of global health security funding mechanisms
Technical brief aimed at applicants/awardees of funding opportunities incorporating the 7-1-7 target and providing actionable guidance on including 7-1-7 into proposals and cost estimates.
Case studies from the United States: Pima County
Dr. Theresa Cullen, Public Health Director of Pima County, Arizona, discusses her county’s decision to pilot the 7-1-7 target, the concept of learning public health system and next steps (May 9, 2024).
Case studies from the United States: Mecklenburg County
Dr. Raynard Washington, Public Health Director of Mecklenburg County, North Carolina, discusses his county’s decision to pilot the 7-1-7 target, early results and next steps (May 9, 2024).
South Sudan saves lives through application of 7-1-7 during ongoing yellow fever outbreak
How the successful use of the 7-1-7 target by South Sudan helped improve its response in real time to a yellow fever outbreak.
7-1-7: rapid improvement for early disease detection and response
Introductory brief on the 7-1-7 target, its uses, and how it complements existing tools and assessments.
7-1-7 for Accountability, Monitoring and Evaluation
The simplicity of 7-1-7’s timeliness metrics helps monitor performance, evaluate interventions and document progress with full transparency.
Advocacy as easy as 7-1-7
Clear data based on simple metrics can help any decision-maker understand the need for support, funding or policy change for better epidemic preparedness.