Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission

L. R. Beck*, M. H. Rodriguez, S. W. Dister, A. D. Rodriguez, E. Rejmankova, A. Ulloa, R. A. Meza, D. R. Roberts, J. F. Paris, M. A. Spanner, R. K. Washino, C. Hacker, L. J. Legters

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

202 Scopus citations

Fingerprint

Dive into the research topics of 'Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission'. Together they form a unique fingerprint.

Medicine & Life Sciences

Agriculture & Biology