Understanding the population dynamics of Anopheles gambiae, the dominant malaria vector across Africa, requires time series data on mosquito abundance at different sites. This project seeks to collect raw trap count data from many different contributors, collate it in a public database, and make it available for visualization and download via an unrestricted, open access web interface. In this way, a little data from many diverse contributors can add up to a comprehensive resource for all.
- Abundance, e.g. catch per unit effort data (non-intervention control/surveillance locations preferred)
- Per sample unit, e.g. trap, individual, or house
- Member species of Anopheles gambiae complex, if known
- Longitudinal daily/weekly/monthly sampling
- Continuous duration, at least 12 months
- Published or unpublished
- Accessible for open access / download by all via VectorBase MapVEu interface
- FAIR abundance data for An. gambiae (FAIR: Findable, Accessible, Interoperable, and Reusable)
- Spatial – representing sites across sub-Saharan geographical region
- Temporal – longitudinal monitoring to capture seasonal cycles
Database can be queried to address a variety of vector
poplulation dynamics questions, inc:
- Anopheles gambiae genetic vector control risk assessments
- Spatio–temporal populations sizes
- Other research questions by the community...
For more information and for sharing, please see the flyer attached.
Visit the VectorBase MapVEu interface to see / download the data we have collected so far. If you have abundance data, please consider contacting us (Sam Rund, firstname.lastname@example.org) to learn more about becoming a contributor.
To our African colleagues
Open data can be a critical driver of new research opportunities, discoveries, and collaborations – yet also presents possibilities for exacerbating historical north-south research exploitation and disparities. We respectfully request your consideration of submitting data to this project. We are available for open dialogue on how we can mutually engage on this project, and to answer any questions, receive feedback, and provide assistance for use of our existing resources.
– The VectorBase and DEERA teams, contact Sam Rund email@example.com
A collaboration between VectorBase and the CSIRO Data61 Ecological and Enviromental Risk Assessment (DEERA) team, funded by the Bill and Melinda Gates Foundation and the Foundation for the National Institutes of Health.