Preventive Medicine and Biometrics: Faculty
Uniformed Services University of the Health Sciences
Department of Preventive Medicine and Biometrics
4301 Jones Bridge Road
Bethesda, Maryland 20814-4799
Bldg. A, Rm. 2060
Phone: (301) 295-3173
Penny Masuoka, MS
Adjunct Assistant Professor
Ms. Masuoka currently serves as Adjunct Assistant Professor in the Department of Preventive Medicine and Biometrics at the Uniformed Services University of the Health Sciences. Her research and academic focus is on the use of geographic information systems (GIS) and remote sensing in the field of public health. Prior to coming to USU, Ms. Masuoka worked at NASA's Goddard Space Flight Center for 24 years.
- M.S. Geology 1981 University of Tennessee, Knoxville
- B.A. Geology 1977 University of Tennessee, Knoxville
Predicting the Distribution of Vector-borne Disease
Diseases such as malaria, Japanese Encephalitis and dengue occur in areas that have environmental conditions favorable to the survival of the mosquito vectors of the disease. Remotely sensed satellite data can be used to map breeding habitats (such as rivers and lakes) and measure other variables such as temperature and rainfall. Environmental variables that are shown to be associated with an increase in mosquito populations are then used to predict the distribution of the disease.
- Introduction to GIS in Public Health
- Remote Sensing Methods in Public Health
Areas of Expertise
- Geographic Information Systems
- Remote Sensing
- Ecological Niche Modeling
Selected Recent Publications
Masuoka P, Klein TA, Kim H, Claborn DM, Achee N, Andre R, Chamberlin J, Small J, Anyamba A, Lee D, Yi SH, Sardelis M, Ju Y, Grieco, J, 2010. Modeling the Distribution of Culex tritaeniorhynchus to Predict Japanese Encephalitis Distribution in the Republic of Korea, Geospatial Health 5(1), 45-57.
Michelle G Colacicco-Mayhugh, Penny M Masuoka and John P Grieco, 2010. Ecological niche model of Phlebotomus alexandri and P. papatasi (Diptera: Psychodidae) in the Middle East. International Journal of Health Geographics 2010, 9:2
P. Masuoka, R. Burke, M. Colaccico, H. Razuri, D. Hill, and K.D. Murrell, 2008. Predicted geographic ranges for North American sylvatic Trichinella. Journal of Parasitology.
Pope, K.O., P. Masuoka, E. Rejmankova, J. Grieco, S. Johnson and D. Roberts. 2005. Mosquito habitats, land use, and malaria risk in Belize from satellite imagery. Ecol. Appl. 15: 1223-1232.
Hakre, S., Masuoka, P., Vanzie, E., and Roberts, D. (2004). Spatial correlations of mapped malaria rates with environmental factors in Belize, Central America. International Journal of Health Geographics. (http://www.ij-healthgeographics.com/content/3/1/6)
Masuoka, P., D. Claborn, R. Andre, and S. Gordon, 2003. Use of IKONOS and Landsat for malaria control in the Republic of Korea. Remote Sensing of Environment 88(2003) 187-194.