This repository stores data and code for the CA drought and public health MRPI proposal.

data is the parent tree to lead to all of the below data. All available variables and associated attributes are summarized in data_codebook.docx.

Below is a brief description of the organization of subfolders in data.

folder raw_data corresponds to data not changed since their acquisition (often csv files). Edited, cleaned or modified raw data are stored in processed_data.

See more extended description of datasets inside folder hierarchy.

Edited, cleaned or modified data from raw_data. Descriptions of how the data was modified are available inside the folder hierarchy.

• caseCounts_westnile/weekly contains weekly case counts derived from cumulative counts in weeklyCumulative in the raw_data folder

R contains

• R_scripts : R scripts used to derive shapefiles, plots, R objects etc;

• R_objects : R objects derived from files in raw_data to be used for later analyzes.

See description of files in folder.

Spatial stores data from raw_data in GIS file format (readily available for analyzes using ArcGIS or QGIS).

• CA_counties which contains a shapefile of all counties in california used to join tabular data in raw_data to space
• WNV_All_years contains a shapefile with both demographic data from the 2010 census and yearly summaries of human cases and incidence, dead birds, mosquitoes sampled, and sentinel chickens for each county from 2006 - 2016; this shapefile was used to produce the annual plot collations in plots
• WNV_Yearly_Summaries contains a shapefile corresponding to each year from 2006 - 2016 with weekly counts of human cases, dead birds reported, mosquito samples, and sentinel chickens
• CA_MRPI.gdb contains a geodatabase with the above spatial data for integration with ArcGIS

folder plots contains plots derived from shapefiles in Spatial showing human incidence, dead bird reports, mosquito pools, and sentinel chickens from 2006 - 2016 by county for the state of California

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License http://creativecommons.org/licenses/by-nc/4.0/ by Karina Cucchi, Christopher Hoover and Justin Remais. This work was supported in part by the National Institute of Allergy and Infectious Diseases (grant R01AI125842), the National Science Foundation Water Sustainability and Climate Program (grant 1360330), and UCOP Multicampus Research Programs and Initiatives (MRPI) grant MRP-17-446315. Per the terms of this license, if you are making derivative use of this work, you must identify that your work is a derivative work, give credit to the original work, provide a link to the license, and indicate changes that were made.