Here we have highlighted some of the projects that are technically supported by GAL. Most are coordinated with the ND community to meet their research goals using geospatial techniques. Browse the links to the left to learn more about these exciting projects.

Modelling to Support Lymphatic Filariasis(LF) Elimination: Estimating expected post-Mass Drug Administration LF prevalence

  • Project Period: 2014-2015
  • GIS Lead: Milan Budhathoki
  • Project Lead: Edwin Michael, Barjendra K. Singh, Benjamin Mayala
  • Department: Eck Institute for Global Health

Main purpose of this project is to combine baseline and post-MDA LF infection plus MDA and other intervention (particularly vector control) duration/coverage data from WHO/DHS sentinel sites in different LF regions in Africa, with outputs of a multi-vector multi-indicator (MVMI) model of LF transmission and control, in order to provide estimates of expected post-MDA LF prevalences. This project also aims to build a GIS based web portal to generate predication of future LF microfilarial, L3 and antigen prevalences based on user input of geospatial data like baseline mf prevalence, annual vector biting rate, number of treatment rounds and coverage will also be produced. GAL is providing GIS analysis and remotely sensed data integration to the model environment.

LF Modelling

Empirical Bayesian Interpolation of ITN value using DHS Cluster (Tanzania)