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Partner with public health departments and universities to define the current gap in public health and climate change research timeframes, and articulate the value to planning of more frequent data collection.

Emphasize the utility of research based on frequent data collection to current public and academic climate impact and health research programs. Specifically advocate for association testing with monthly weather patterns, such as changes in:

  1. Water levels
  2. Rainfall
  3. Temperature
  4. Relationships with socio-economic vulnerability

Include considerations of data collection frequency when allocating public funding to research in order to ensure the applicability of the research to public health initiatives.