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ArboMAP Version 4.0 Released 13 May 2022
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@michdn michdn released this 13 May 20:34
· 73 commits to main since this release
v4.0
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Version 4.0 is a major update:

  • Massive rewrite of the report output and format, including figures and narrative, based on feedback from public health partners.
  • Significant changes to user interfaces and input parameters.
  • Overhaul of the internal code, switching to mostly tidyverse data processing and presentation R packages.
  • Fixed environmental data processing to always use the latest updated value for any particular day when there are overlaps between data files.
  • Updated GEE code to code_GEE/arbomap_gridmet_gee_v2_2.js.
  • Minor bug fixes and addition of copious developer and code comments for future developers.

Arbovirus Modeling and Prediction to Forecast Mosquito-Borne Disease Outbreaks (ArboMAP) is a set of software to be used in the RStudio environment to model and predict vector-borne diseases, especially arboviruses transmitted by mosquitoes. In this demo project, ArboMAP is being used for forecasting West Nile virus.

Important Note: The human and mosquito data that come packaged with ArboMAP are synthetic data, created by first fitting the model on West Nile virus in South Dakota, and then generating human cases and mosquito pools according to that model. Hence, while they are consistent with the overall trends of actual data, they are not the actual data, and must not be used as a basis for scientific inference. Rather, they are provided so that the user can see an example of the code working well with realistic data.

Start with ArboMAP_user_guide.pdf found attached to the Github release, or in the documentation folder.

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