Forecasting of Vector Borne Diseases (VBD) Capability Development for Improve Deployed Force Planning (Old ID 27925)
Role
Principal Investigator
Description
This research project will utilise existing data on vector trapping, weather and disease prevalence to provide capability for outbreak detection and forecasting that are relevant to both military and civilian settings. Thus, we aim that this project will deliver a VB disease surveillance and forecasting system that is capable of: • Incorporating lessons from COVID-19 pandemic responses in coordinating smooth data fusion techniques in gathering VB health data applicable to military and civilian settings. • Extend existing model on ento-epidemiological and climate models, fusing the two models to understand the dynamics of both vector and diseases in region of interest. • Adopt Pypfilt/EpiFX for forecasting and parameter estimation for VB diseases (currently only used for COVID-19). This is to help inform the commander in understanding the risk of VBD to members at AO.
Date
01 Dec 2022 - 31 Jan 2025
Project Type
GRANT
Keywords
Forecasting;arbovirus;modelling;Vector-borne Diseases
Funding Body
Defence Materials Technology Centre
Amount
206340
Project Team
Adeshina Adekunle