Open AccessDeveloping risk assessment maps for Schistosoma haematobium in Kenya based on climate grids and remotely sensed data
Author(s) -
Kelsey Lee McNally
Publication year - 2022
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31390/gradschool_theses.1851
Subject(s) - growing degree day , normalized difference vegetation index , environmental science , evapotranspiration , longitude , schistosoma haematobium , latitude , weather station , remote sensing , hydrology (agriculture) , physical geography , climate change , geography , meteorology , schistosomiasis , ecology , geology , phenology , biology , geotechnical engineering , geodesy , zoology , helminths