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Addressing data gaps, investing in human resources, and using technologies provide policymakers with insights to make informed climate-related decisions.

Crises like a pandemic underscore the importance of alternative sources of high-quality and timely data in developing effective measures.

Analysis of geographically granular data is essential to identify vulnerable areas and optimize resource distribution.

Leverage data integration, administrative data, and other targeted methods for data collection and analysis.

Pseudo-panel methods using repeated cross-sectional surveys, which are less costly and easier to do, may offer a solution to this problem.