Non-Traditional Data in Pandemic Preparedness and Response: Identifying and Addressing First- and Last-Mile Challenges

Key Takeaways

• 66% of datasets faced access problems during COVID‑19.
• Data‑sharing reluctance doubled for non‑traditional sources versus traditional.
• Only 10% of modelers accessed all data they needed.
• Ten actionable steps proposed for public entities and data providers.
• Fusion centres and decision‑accelerator labs recommended to bridge last‑mile gap.

Pulse Analysis

The COVID‑19 pandemic revealed both the promise and the pitfalls of integrating non‑traditional data streams into public‑health surveillance. Mobility traces, social‑media sentiment, and wearable health metrics offered unprecedented granularity, yet the lack of standardized formats and legal clarity hampered rapid uptake. As governments scrambled to model transmission dynamics, fragmented data pipelines slowed policy formulation, underscoring a critical need for robust data‑sharing ecosystems that can operate at scale.

The recent study by Mazzoli and colleagues quantifies these shortcomings. More than two‑thirds of the examined datasets encountered access hurdles, and reluctance to share non‑traditional sources was twice that of conventional epidemiological data. Surveyed modelers reported that merely one in ten could leverage all required inputs, a gap that translates directly into delayed or suboptimal interventions. First‑mile challenges—ranging from legal restrictions to interoperability gaps—must be addressed through data inventories, standardisation protocols, and dedicated stewardship roles that ensure quality and timeliness.

Looking ahead, the authors propose a suite of enabling mechanisms designed to close the last‑mile divide. Fusion centres and decision‑accelerator laboratories can translate analytical outputs into actionable policy, while networks of scientific ambassadors foster cross‑sector dialogue. For businesses operating in data analytics, health tech, or cloud services, these recommendations signal emerging market opportunities around data‑stewardship platforms, secure sharing frameworks, and simulation‑as‑a‑service offerings. Embedding these solutions now will not only bolster pandemic preparedness but also equip societies to respond swiftly to climate‑related health shocks and humanitarian crises.