Using parasite genetic and human mobility data to infer local and cross-border malaria connectivity in Southern Africa
- University of California, San Francisco, United States
- Johns Hopkins Bloomberg School of Public Health, United States
- University of Namibia, Namibia
- University of Southampton, United Kingdom
- Clinton Health Access Initiative, United States
- University of Washington, United States
- University of Texas Southwestern Medical Center, United States
Peer review process
This article was accepted for publication via eLife's original publishing model. eLife publishes the authors' accepted manuscript as a PDF only version before the full Version of Record is ready for publication. Peer reviews are published along with the Version of Record.
History
- Version of Record published
- Accepted Manuscript published
- Accepted
- Received
