Data for: Using mosquito and arbovirus data to computationally predict West Nile virus in unsampled areas of the Northeast United States

Description

Training data associated with the publication, "Using mosquito and arbovirus data to computationally predict West Nile virus in unsampled areas of the Northeast United States" in PNAS nexus (https://doi.org/10.1093/pnasnexus/pgaf227)

Steps to reproduce

Steps to reproduce results and figures are listed in the associated manuscript. Raw data is provided, and consists of monthly records of mosquito abundance, WNV presence/absence, and extracted land cover and climate variables from sources listed in the manuscript. Users will need a working comprehension of the R Statistical program and the associated packages listed in the manuscript in order to train models and reproduce results.

Institutions

• Texas Tech University

  TX, Lubbock
• Connecticut Agricultural Experiment Station

  CT, New Haven

Categories

Funders

• Centers for Disease Control and Prevention

  Georgia, United States
• American Mosquito Control Association

  New Jersey, United States

Licence