Identify health-related data sets for inclusion

Open Nepal has [many health-related data sets](http://data.opennepal.net/datasets?field_dataset_sector_tid%5B%5D=3). Identify ones that might be good to include. Create an issue for each one and link the issue to the actual data set. Data sets that work well:

- have data for each district. Even better if they have data for each VDC.
- have counts for each district.

Examples of potentially good data sets include:
- immunization rates (if available)
- [communicable disease rates](http://data.opennepal.net/content/data-related-other-communicable-and-infectious-diseases-2011-14)
- [deaths by communicable and immunizable diseases](http://data.opennepal.net/content/data-related-morbidity-communicable-and-immunizable-diseases-2011-14)
- [malaria infection and death rates](http://data.opennepal.net/content/data-related-malaria-suspected-malaria-confirmed-malaria-death-2011-14)

These are potential samples. Once data sets have been identified and issues have been created, then the team can prioritize which issues would or would not be valuable to include.

Start with the linked Open Nepal dataset index and the example dataset pages; check whether each candidate has district or VDC data and district-level counts. Create and link an issue for every qualifying dataset, with the actual dataset URL, so the team can prioritize the candidates.

Written by the indexing model from the issue text.