VecNet enables national malaria control managers, researchers, product developers, funding bodies and policy makers to ask questions such as: ‘What is the intensity and type of intervention/s required to achieve one malaria death per 100,000 in this particular population?’ and ‘What is the impact on malaria transmission of a new tool that potentially kills a mosquito any time it takes a sugar meal, seeks a blood meal or lays eggs?’
To find answers to these questions, VecNet is developing three resources: the Digital Library, the Data Warehouse Browser and a Modeling Platform. These tools provide users with access both to data on malaria transmission and to modeling software to create simulations of various scenarios. The simulations use geospatially specific data to analyze the potential of different combinations of control interventions to reduce malaria transmissions in a given area.
The Digital Library assembles curated data, tagged citations,articles & reports on entomology, epidemiology, demography, climatology, and interventions. This extensive database enables the analysis of transmission risk as a function of vector ecology and behavior via the Transmission Simulator and OpenMalaria Portal.
The Data Warehouse Browser is an incentive-based platform for data sharing, and enables easy-to-use, secure access to data for use with any of the Modeling Platform tools. It presents research data in ways that allow model simulations with specific data in geographically defined areas. Users can access all existing data, including their own model input and output data.
VecNet provides simulation-modeling interfaces for two established modelling programs. EMOD (The Institute for Disease Modeling) and OpenMalaria (Swiss Tropical and Public Health Institute). Simulation models can predict the impact of interventions when hypothetically applied to control the disease. The behavior of vectors is predicted using premises from their established biology and bionomics.
When building a location specific simulation model, the best available data will create the most accurate predictions. VecNet stores geographically specific information on vectors, their bionomics; the current and historical weather parameters and human population demographics in the Data Warehouse. From withing the Data Warehous VecNet users can select data to build a location specific simulation model.
Web interface for creating and running OpenMalaria simulations.