Remote Sensing/GIS and Human Health
A Partial Bibliography

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Ahearn, S.C., and C. De Rooy. 1996. Monitoring the effects of Dracunculiasis remediation on agricultural productivity using satellite data. Intl J. Remote Sens. 17:917-929.

Ambrosia, V.G., K.G. Linthicum, C.L. Bailey, and P.D. Sebesta. 1989. Modeling Rift Valley fever (RVF) disease vector habitats using active and passive remote sensing systems. Proc., Int. Geoscience and Remote Sensing Symposium (IGARSS '89), 12th Canadian Symp. on Remote Sensing, Vancouver, B.C., Canada.

Anyamba, A., K.J. Lithicum, R. Mahoney, C.J. Tucker, and P.W. Kelley. 2002. Mapping potential risk of Rift Valley fever outbreaks in African savannas using vegetation index time series data. Photogram. Eng. Remote Sensing 68(2):137-145.

Arambulo, P.V., and V. Astudillo. 1991. Perspectives on the application of remote sensing and geographic information system to disease control and health management. Prev. Vet. Med. 11:345-352.

Arp, G.K. 1975. The rationale for attempting to define salt marsh mosquito-breeding areas in Galveston County by remote sensing the associated vegetation. Proc., NASA Earth Resources Symp., Houston, TX.

Audy, J.R. 1949. A summary topographical account of scrub typhus, 1908-1946. Bulletin, Institute for Medical Research, Federation of Malaya, Kuala Lumpur.


Bailey, C.L, and K.J. Linthicum. 1989. Satellite remote sensing: The newest technology for monitoring vector populations and predicting arbovirus outbreaks. Proc., Fifth Symp. Arbovirus Res. in Australia, Queensland, Australia, pp. 111-116.

Baker, R.H.A, and O.M. Abdelnur. 1986a. Localized onchocerciasis vector control in the Bahr El Ghazal region of southwestern Sudan. I. Pre-control. Trop. Med. Parasitol. 37:124-134.

Baker, R.H.A, and O.M. Abdelnur. 1986b. Localized onchocerciasis vector control in the Bahr El Ghazal region of southwestern Sudan. II. Control. Trop. Med. Parasitol. 37:135-142.

Barinaga, M. 1993. Satellite data rockets disease control efforts into orbit. Science 261:31-32.

Barnes, C.M. 1991. An historical perspective on the applications of remote sensing to public health. Prev. Vet. Med. 11:163-166.

Barnes, C.M., and W.G. Cibula. 1979. Some implications of remote sensing technology in insect control programs including mosquitoes. Mosq. News 39:271-282.

Barnes, C.M., C.E. Fuller, H.J. Schneider, E.E. Kennedy, D.R. Morrison, and H.G. Jones. 1972. Applications of remote sensing in public health. Proc., Int. Symp. Remote Sensing Environ., Ann Arbor, MI, 2-6 October.

Barnes, C.M., and R. Higuera. 1975. Applications of remote sensing to the eradication of the screw worm. Preliminary report, NASA contract NAS 9-12200. Johnson Space Center, Houston, TX.

Bavia, M.E., J.B. Malone, L. Hale, A. Dantas, L. Marroni, and R. Reis. 2001. Use of thermal and vegetation index data from earth observing satellites to evaluate the risk of schistosomiasis in Bahia, Brazil. Acta Tropica 79:79-85.

Beck, L.R., U. Kitron, and M. Bobo. 2002. Remote sensing, GIS, and spatial statistics: Powerful tools for landscape epidemiology. Book chapter: Health Impacts of Global Environmental Change: Concepts and Methods, P. Martens, ed. Cambridge University Press.

Beck, L.R., B.M. Lobitz, and B.L. Wood. 2000. Remote sensing and human health: New sensors and new opportunities. Emerg. Infect. Dis. 6(3):217-227.

Beck, L.R., M.H. Rodríguez, S.W. Dister, A.D. Rodríguez, E. Rejmánková, A. Ulloa, R.A. Meza, D.R. Roberts, J.F. Paris, M.A. Spanner, R.K. Washino, C. Hacker, and L.J. Legters. 1994. Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission. Am. J. Trop. Med. Hyg. 51:271-280.

Beck, L.R., M.H. Rodríguez, S.W. Dister, A.D. Rodríguez, R.K. Washino, D.R. Roberts, and M.A. Spanner. 1997. Assessment of a remote sensing based model for predicting malaria transmission risk in villages of Chiapas, Mexico. Am. J. Trop. Med. Hyg. 56(1):99-106.

Beck, L.R., B.L. Wood, and S.W. Dister. 1995. Remote sensing and GIS: New tools for mapping human health. Geo Info Systems 5(9):32-37.

Beck, L., B. Wood, S. Whitney, R. Rossi, M. Spanner, M. Rodríguez, A. Rodríguez-Ramírez, J. Salute, L. Legters, D. Roberts, E. Rejmánková, and R. Washino. 1993. A remote sensing and geographic information system approach to sampling malaria vector habitats in Chiapas, Mexico. Proc., Earth and Space Science Information Systems. American Institute of Physics, Pasadena, CA, pp. 16-21.

Boone, J.D., K.C. McGwire, E.W. Otteson, R.S. DeBaca, E.A. Kuhn, P. Villard, P.F. Brussard, and S.C. St. Jeor. 2000. Remote sensing and geographic information systems: Charting Sin Nombre virus infections in deer mice. Emerg. Infect. Dis. 6:248-257.

Brady, J. 1991. Seeing flies from space. Nature 351:695.

Brooker, S. 2002. Schistosomes, snails, and satellites. Acta Tropica 82:209-216.

Brooker, S., S.I. Hay, and D.A.P. Bundy. 2002. Tools from ecology: Useful for evaluating infection risk models? Trends in Parasitol. 18:70-74.

Brooker, S., S.I. Hay, W. Issae, A. Hall, C.M. Kihamia, N.J.S. Lwambo, W. Wint, D.J. Rogers, and D.A.P. Bundy. 2001. Predicting the distribution of urinary schistosomiasis in Tanzania using satellite sensor data. Tropical Medicine and International Health 6:998-1007.

Brooker, S., S.I. Hay, L.T. Tchuente, and R. Ratard. 2002. Using NOAA-AVHRR data to model human helminth distributions on planning disease control in Cameroon, West Africa. Photogram. Eng. Remote Sensing 68(2):175-179.

Brooker, S., and E. Michael. 2000. The potential of geographical information systems and remote sensing in the epidemiology and control of human helminth infections. Book chapter: Remote Sensing and GIS in Public Health. Advances in Parasitol., vol. 47 [S. Hay, D. Rogers, S. Randolph, eds.]. Academic Press. pp. 245-288.

Brooker, S., M. Rowlands, L. Haller, L. Savioli, and D.A.P. Bundy. 2000. Towards an atlas of human helminth infection in sub-Saharan Africa: The use of geographical information systems. Parasitol. Today 16(7):303-307.

Brownstein, J.S., T.R. Holford, and D. Fish. 2003. A Climate-based model predicts the spatial distribution of the Lyme disease vector Ixodes scapularis in the United States. Environ. Health Perspectives 111(9):1152-1157.

Brownstein, J.S., T.R. Holford, and D. Fish. 2004. Enhancing West Nile virus surveillance, United States. Emerg. Infect. Dis. 10(6).

Bryceson, K. P. 1991. Likely locust infestation areas in western New South Wales, Australia, located by satellite. Geocarto International 3:21-37.

Bryceson, K. P. 1989. The use of Landsat MSS data to determine the distribution of locust eggbeds in the Riverina region of New South Wales, Australia. Intl J. Remote Sens. 10:1749-1762.

Bryceson, K. P., and D. E. Wright. 1986. An analysis of the 1984 Locust plague in Australia using multitemporal Landsat Multispectral data and a simulation model of Locust development. Agricultural Ecosystems and Environment 16:87-102.

Burt, P.J.A., J. Colvin, and S.M. Smith. 1995. Remote sensing of rainfall by satellite as an aid to Oedaleus senegalensis (Orthoptera: Acrididae) control in the Sahel. Bul. Entomol. Res. 85:455-462.


Centers for Disease Control and Prevention. 1998. Preventing Emerging Infectious Diseases, A Strategy for the 21st Century. Atlanta, GA: U.S. Department of Health and Human Services.

Chen, S., and J. Hu. 1991. Geo-ecological zones and endemic diseases in China - A sample study by remote sensing. Prev. Vet. Med. 11:235-244.

Cherlet, M., and A. Di Gregorio. 1993. Calibration and integrated modelling of remote sensing data for desert locust habitat monitoring. RSC Series No. 64, Food and Agriculture Organization. 115p.

Chucalin, A., and Y. Novikov. 1994. Urban eco-epidemiology with satellite. Sistema Terra Year III:18-20.

Cibula, W.G. 1976. Application of remotely sensed multispectral data to automated analysis of marshland vegetation. NASA Technical Note TN D-8139. Johnson Space Center, Houston, Texas.

Clarke, K.C., S.L. McLafferty, and B.J. Tempalski. 1996. On epidemiology and geographic information systems: A review and discussion of future directions. Emerg. Infect. Dis. 2(2):85-92.

Clarke, K.C., J.R. Osleeb, J.M. Sherry, J.P. Meert, and R.W. Larsson. 1990. The use of remote sensing and geographic information systems in UNICEF'S dracunculiasis (Guinea worm) eradication effort. Prev. Vet. Med. 11:229-235.

Cline, B.L. 1970. New eyes for epidemiologists: Aerial photography and other remote sensing techniques. Am. J. Epidem. 92:85-89.

Connor, S.J. 1999. Malaria in Africa: The view from space. Biologist 46(1):22-25.

Connor, S.J., S.P. Flasse, A.H. Perryman, and M.C. Thomson. 1997. The contribution of satellite derived information to malaria stratification, monitoring and early warning. World Health Organization WHO/MAL/97.1079. 32 p.

Connor, S.J., M.C. Thomson, and D.H. Molyneux. 1999. Forecasting and prevention of epidemic malaria: New perspectives on an old problem. Parassitologia 41:439-448.

Corbley, K.P. 1996. Epidemiologists track virus-bearing mosquitoes. GIS World 9(3):52-57.

Cromley, E.K. 2003. GIS and disease. Annu. Rev. Public Health 24:7-24.

Croner, C.M., J. Sperling, and F.R. Broome. 1996. Geographic information systems (GIS): New perspectives in understanding human health and environmental relationships. Stat. in Med. 15:1961-77.

Cross, A. 1990. Using a geographical information system to explore the spatial incidence of childhood cancer in northern England. Proc., First European Conference on Geographical Information Systems, J. Harts, H.F.L. Ottens, and H.J. Scholten (eds). Amsterdam, EGIS Foundation, the Netherlands, pp. 218-29.

Cross, E.R., W.W. Newcomb, and C.J. Tucker. 1996. Use of weather data and remote sensing to predict the geographic and seasonal distribution of Phlebotomus paptasi in Southwest Asia. Am. J. Trop. Med. Hyg. 54(5):530-536.

Cross, E.R., R. Perrine, C. Sheffield, and G. Pazzaglia. 1984. Predicting areas endemic for schistosomiasis using weather variables and a Landsat data base. Military Med. 149:542-544.

Curran, P.J., P.M. Atkinson, G.M. Foody, and E.J. Milton. 2000. Linking remote sensing, land cover, and disease. Book chapter: Remote Sensing and GIS in Public Health. Advances in Parasitol., vol. 47 [S. Hay, D. Rogers, S. Randolph, eds.]. Academic Press. pp. 38-80.


Dale, P.E., and C.D. Morris. 1996. Culex annulirostris breeding sites in urban areas: Using remote sensing and digital image analysis to develop a rapid predictor of potential breeding areas. J. Am. Mosq. Control Assoc. 12:316-20.

Dale, P.E., S.A. Ritchie, B.M. Territo, C.D. Morris, A. Muhar, and B.H. Kay. 1998. An overview of remote sensing and GIS for surveillance of mosquito vector habitats and risk assessment. J. Vector Ecol. 23(1):54-61.

Daniel, M. and J. Kolár. 1990. Using satellite data to forecast the occurrence of the common tick Ixodes ricinus (L.). J. Hyg. Epidem. Microbiol. Immunol. 34:243-252.

Daniel, M., J. Kolár, P. Zeman, K. Pavelka, and J. Sadlo. 1998. Predictive map of Ixodes ricinus high-incidence habitats and a tick-borne encephalitis risk assessment using satellite data. Experimental & Applied Acarology 22:417-433.

De Lepper, M., H. Scholten, and R. Stern (eds). 1995. The Added Value of Geographical Information Systems in Public and Environmental Health. Kluwer Academic Publishers, Dordrecht, The Netherlands. 355 p.

Delgado, L., S. Ramos, and E. Gordon. 2000. Modelo digital del terreno y procesamiento de imagenes digitales: Herramientas para la deteccion de variables ambientales relacionadas con la malaria en el estado Sucre, Venezuela. Proceedings, IX Latin American Symposium on Remote Sensing (SELPER), Argentina Chapter, Puerto Iguazu, Misiones, Argentina, 6-10 November 2000, pp 848-856.

Delgado, L., S. Ramos, N. Martinez, and P. Garcia. 2002. Ecologia de paisajes, sensores remotos y sistemas de informacion geografica: Nuevas perspectivas para el manejo de problemas en salud publica, caso particular la malaria en el Estado Sucre, Venezuela. Proceedings, X Latin American Symposium on Remote Sensing (SELPER), Bolivia Chapter, Cochabamba, Bolivia, 11-15 November 2002.

Delgado, L., S. Ramos, N. Martinez, and L. Gamboa L. 2002. La malaria en el Estado Sucre: Caso de estudio sobre la relevancia de los metodos geoespaciales en problemas de salud publica. Proceedings, X Latin American Symposium on Remote Sensing (SELPER), Bolivia Chapter, Cochabamba, Bolivia, 11-15 November 2002.

Delgado, L., S. Ramos, R. Rodriguez, and L. Liberal. 2001. Modelo espacial de riesgo malarico para el Estado Sucre, Venezuela. Revista Ingenieria de la Facultad de Ingenieria de la UCV 16(2):15-26.

Dister, S.W., L.R. Beck, B.L. Wood, R. Falco, and D. Fish. 1993. The use of GIS and remote sensing technologies in a landscape approach to the study of Lyme disease transmission risk. Proc., GIS '93: Geographic Information Systems in Forestry, Environmental and Natural Resource Management. Vancouver, B.C., Canada, 15-18 February 1993.

Dister, S.W., D. Fish, S. Bros, D.H. Frank, and B.L. Wood. 1997. Landscape characterization of peridomestic risk for Lyme disease using satellite imagery. Am. J. Trop. Med. Hyg. 57(6):687-692.

Dowe, P.J., S.J. Koval, P.M. Burnhill, and R.G. Healy. 1991. GIS and community health care: A case study of geriatric service provision. Proc., Second European Conference on Geographical Information Systems. Brussels, EGIS Foundation, the Netherlands, pp. 35-47.

Dunn, C. 1992. GIS and Epidemiology. Education, Training and Research Publication Number 5. Association for Geographic Information, London, U.K., 20 p.


Elnaiem, D.A., J. Schorscher, A. Bendall, V. Obsomer, M.E. Osman, A.M. Mekkawi, S.J. Connor, R.W. Ashford, and M.C. Thomson. 2003. Risk mapping of visceral leishmaniasis: The role of local variation in rainfall and altitude on the presence and incidence of Kala-Azar in eastern Sudan. Am. J. Trop. Med. Hyg. 68(1):10-17.

Epstein, P.R. 1995. Health applications of remote sensing and climate modeling. The Earth Observer, Sept-Oct, pp. 7-10.

Epstein, P.R., D.J. Rogers, and R. Slooff. 1993. Satellite imaging and vector-borne disease. The Lancet 341:1404-1406.

Estrada-Peña, A. 1998. Geostatistics and remote sensing as predictive tools of tick distribution: A cokriging system to estimate Ixodes scapularis (Acari: Ixodidae) habitat suitability in the United States and Canada from Advanced Very High Resolution Radiometer satellite imagery. J. Med. Entomol. 35(6):989-995.


Flasse, S., C. Walker, H. Biggs, P. Stephenson, and P. Hutchinson. 1998. Using remote sensing to predict outbreaks of Oestrus ovis in Namibia. Prev. Vet. Med. 33(1-4):31-8.

Fleetwood, S.C., M.D. Chambers, and C. Terracina. 1981. An effective and economical mapping system for the monitoring of Psorophora columbiae in rice and fallow fields in southwestern Louisiana. Mosq. News 41:174-177.

Franks, P.J.S. and D.M. Anderson. 1992. Alongshore transport of a toxic phytoplankton bloom in a buoyancy current: Alexandrium tamarense in the Gulf of Maine. Marine Biol. 112:153-164.

Freier, J.W. 1993. Eastern equine encephalomyelitis. The Lancet 342:1281-1283.

Fuller, C.E. 1972. Public Health Implications of Remote Sensing. Final Report, NASA contract NAS-9-11522. University of Texas, School of Public Health, Houston, TX.


Gates, C.C., B.T. Elkin, and D.C. Dragon. 1995. Investigation, control and epizootiology of anthrax in a geographically isolated, free-roaming bison population in northern Canada. J. Vet. Res. 59:256-64.

Gatrell, A.C. 1988. Handling Geographic Information for Health Studies. Northern Regional Research Laboratory Research Report No. 15.

Gatrell, A.C., T.C. Bailey, P.J. Diggle, and B.S. Rowlingson. 1996. Spatial point pattern analysis and its application in geographical epidemiology. Trans. Inst. Br. Geogr. 21:256-274.

Gatrell, A.C., and C.E. Dunn. 1990. GIS in epidemiological research: Analyzing cancer of the larynx in northwest England. Proc., First European Conference on Geographical Information Systems, J. Harts, H.F. Land, and H.J. Scholten (eds). Amsterdam, EGIS Foundation, the Netherlands, pp. 346-55.

Gesler, W. 1986. The use of spatial analysis in medical geography: A review. Soc. Sci. and Med. 23:963-73.

Giddings, L.E. 1976. Remote sensing for the control of tsetse flies. Technical Memorandum, Health Applications Office, Johnson Space Center, Houston, TX.

Githeko, A.K., and W. Ndegwa. 2001. Predicting malaria epidemics in the Kenyan highlands using climate data: A tool for decision makers. Global Change & Human Health 2(1):54-63.

Glass, G.E., J.L. Aron, J.H. Ellis, and S.S. Yoon. 1993. Applications of GIS Technology to Disease Control. School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD. 39 p.

Glass, G.E., J.E. Cheek, J.A. Patz, T.M. Shields, T.J. Doyle, D.A. Thoroughman, D.K. Hunt, R.E. Enscore, K.L. Gage, C. Irland, C.J. Peters, and R. Bryan. 2000. Using remotely sensed data to identify areas at risk for hantavirus pulmonary syndrome. Emerg. Infect. Dis. 6(3):238-247.

Glass, G.E., J.M. Morgan, III, D.T. Johnson, P.M. Noy, E. Israel, and B.S. Schwartz. 1992. Infectious disease epidemiology and GIS: A case study of Lyme disease. Geo Info Systems 2:65-69.

Glass, G.E., B.S. Schwartz, J.M. Morgan, D.T. Johnson, M.P.M. Noy, and E. Israel. 1995. Environmental risk factors for Lyme disease identified with geographic information systems. Am. J. Public Health 85:944-948.

Goetz, S.J., S.D. Prince, and J. Small. 2000. Advances in satellite remote sensing of environmental variables for epidemiological applications. Book chapter: Remote Sensing and GIS in Public Health. Advances in Parasitol., vol. 47 [S. Hay, D. Rogers, S. Randolph, eds.]. Academic Press. pp. 289-307.

Gong, P., R. Spear, E. Seto, Y. Zhou, B. Xu, D. Maszle, S. Liang, G. Davis, and X. Gu. 1999. Remote sensing and GIS for schistosomiasis control in Sichuan, China: An overview. Proc. of Geoinformatics '99, Ann Arbor, MI, 19-21 June, pp. 1-9.

Gould, P. 1994. The search for spatio-temporal information: Predicting the maps of AIDS. Sistema Terra Year III:24-27.

Green, R.M., and S.I. Hay. 2002. The potential of Pathfinder AVHRR data for providing surrogate climatic variables across Afarica and Europe for epidemiological applications. Remote Sens. Environ. 79(2-3):166-175.

Guerra, M.A., A.T. Curns, C.E. Rupprecht, C.A. Hanlon, J.W. Krebs, and J.E. Childs. 2003. Skunk and raccoon rabies in the eastern United States: Temporal and spatial analysis. Emerg. Infect. Dis. 9(9):1143-1150.

Guerra, M.A., E. Walker, C. Jones, S. Paskewitz, M. R. Cortinas, A. Stancil, L. Beck, M. Bobo, and U. Kitron. 2002. Predicting the risk of Lyme disease: Habitat suitability for Ixodes scapularis in the North Central United States. Emerg. Infect. Dis. 8(3):289-297.

Guerra, M.A., E.D. Walker, and U. Kitron. 2001. Canine surveillance system for Lyme borreliosis in Wisconsin and northern Illinois: Geographic distribution and risk factor analysis. Am. J. Trop. Med. Hyg. 65(5):546-552.

Guthe, W.G. 1993. GIS: A new tool for mosquito control. Wing Beats, Spring, pp. 4-6.


Hacker, C.S., and D.R. Roberts. 1994. Public health applications of satellite remote sensing. Sistema Terra Year III:34-36.

Haines, A., P.R. Epstein, and A.J. McMichael. 1993. Global health watch: Monitoring impacts of environmental change. The Lancet 342:1464-1469.

Hassan, A.N., L.R. Beck, and S. Dister. 1998. Prediction of villages at risk for filariasis transmission in the Nile Delta using remote sensing and geographic information system technologies. J. Egypt. Soc. Parasitol. 28(1):75-87.

Hassan, A.N., S. Dister, and L. Beck. 1998. Spatial analysis of lymphatic filariasis distribution in the Nile Delta in relation to some environmental variables using geographic information system technology. J. Egypt. Soc. Parasitol. 28(1):119-131.

Hay, S.I. 1997. Remote sensing and disease control: Past, present and future. Trans. Royal Soc. Trop. Med. Hyg. 91:105-106.

Hay, S.I., and J.J. Lennon. 1999. Deriving meteorological variables across Africa for the study and control of vector-borne disease: A comparison of remote sensing and spatial interpolation of climate. Tropical Medicine and International Health 4(1):58-71.

Hay, S.I., J.A. Omumbo, M.H. Craig, and R.W. Snow. 2000. Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-saharan Africa. Book chapter: Remote Sensing and GIS in Public Health. Advances in Parasitol., vol. 47 [S. Hay, D. Rogers, S. Randolph, eds.]. Academic Press. pp. 173-215.

Hay, S.I., M.J. Packer, and D.J. Rogers. 1997. The impact of remote sensing on the study and control of invertebrate intermediate hosts and vectors for disease. Intl J. Remote Sens. 18(14):2899-2930.

Hay, S.I., R.W. Snow, and D.J. Rogers. 1998a. From predicting mosquito habitat to malaria seasons using remotely sensed data: Practice, problems and perspectives. Parsitol. Today 14(8):306-313.

Hay, S.I., R.W. Snow, and D.J. Rogers. 1998b. Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data. Trans. Royal Soc. Trop. Med. Hyg. 92:12-20.

Hay, S., C. Tucker, D. Rogers, and M. Packer. 1996. Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of disease. Ann. Trop. Med. Parasitol. 90(1):1-19.

Hayes, R.O., E.L. Maxwell, C.J. Mitchell, and T.L. Woodzick. 1985. Detection, identification, and classification of mosquito larval habitats using remote sensing scanners in earth-orbiting satellites. Bul. World Health Org. 63:361-374.

Hibbard, K., R. K. Washino, B. L. Wood, M. J. Pitcairn, E. Rejmánková, J. Salute, and L. Beck. 1990. Predicting mosquito populations in California rice fields. Proc., Int. Geoscience and Remote Sensing Symp. (IGARSS '90). College Park, MD, 23-27 May 1990.

Hielkema, J. U. 1983. Use of NOAA/AVHRR and Landsat MSS/TM data for ecological monitoring: The desert locust example. In: Renewable Resource Inventories for Monitoring Changes and Trends, An International Conference, 15-19 August 1983, Corvallis, OR.

Hightower, A.W., and R.E. Klein. 1995. Building a geographic information system (GIS) public health infrastructure for research and control of tropical diseases. Emerg. Infect. Dis. 1:156-7.

Hopps, H.C., R.J. Cuffey, J. Morenoff, W.L. Richmond, and D.H. Sidley. 1968. Computerized Mapping of Disease and Environmental Data: A Report of the Mapping of Disease (MOD) Project. Advanced Research Projects Agency (ARPA) of the Department of Defense, Life Sciences Division, U.S. Army Research Office Contract No. DA 49-092-ARO-130.

Hugh-Jones, M. 1989. Applications of remote sensing to the identification of the habitats of parasites and disease vectors. Parasitol. Today 5:244-251.

Hugh-Jones, M. 1991a. Remote sensing and geographic information systems, epidemiology and Igor Piskun's Rule. Proc., 6th International Symposium on Veterinary Epidemiology and Economics. Ottawa, Canada.

Hugh-Jones, M. 1991b. Satellite imaging as a technique for obtaining disease-related data. Rev. Sci. Tech. Off. Int. Epid. 10:197-204.

Hugh-Jones, M. 1991c. The remote recognition of tick habitats. J. Agric. Entomol. 8:309-315.

Hugh-Jones, M., N. Barre, G. Nelson, C. Wehnes, J. Warner, G. Garris, and W. Hubbert. 1988. Remote recognition of Amblyomma variegatum habitats in Guadeloupe using Landsat-TM imagery. Acta Veterinaria Scandinavica, pp. 259-261.

Hugh-Jones, M., N. Barre, G. Nelson, K. Wehnes, J. Warner, J. Garvin, and G. Garris. 1992. Landsat-TM identification of Amblyomma variegatum (Acari: Ixodidae) habitats in Guadeloupe. Remote Sens. Environ. 40:43-55.

Huh, O.K., and J.B. Malone. 2001. New tools: Potential medical applications of data from new and old environmental satellites. Acta Tropica 79:35-47.

Hungerford, L.L. 1991. Use of spatial statistics to identify and test significance in geographic disease patterns. Prev. Vet. Med. 11:237-242.



Jovanovic, P. 1987. Remote sensing of environmental factors affecting health. Adv. Space Res. 7:11-18.

Jovanovic, P. 1989. Satellite medicine. World Health. January-February, pp. 18-19.

Jovanovic, P. 1987. Satellite remote sensing imagery in public health. Acta Astronautica 15:951-953.


Kawabata, M., N. Nihei, H. Ohmae, A. Ishii, and J. Leafasia. 1998. Application of landscape analysis to malaria transmission study on Guadalcanal, Solomon Islands. In: Malaria Research in the Solomon Islands, A. Ishii, N. Nihei, and M. Sasa (eds). Inter Group Corporation, Tokyo, Japan, pp. 147-151.

Kearns, R.A., and A.E. Joseph. 1993. Space in its place: Developing the link in medical geography. Soc. Sci. and Med. 37:711-17.

King, P.E. 1979. Problems of spatial analysis in geographical epidemiology. Soc. Sci. and Med. 13D:249-252.

Kitron, U. 1998. Landscape ecology and epidemiology of vector-borne diseases: Tools for spatial analysis. J. Med. Entomol. 35(4):435-445.

Kitron, U. 2000. Risk maps: Transmission and burden of vector-borne diseases. Parasitol. Today 16:324-325.

Kitron, U., J.K. Bouseman, and C.J. Jones. 1991. Use of ARC/INFO GIS to study the distribution of Lyme disease ticks in an Illinois county. Prev. Vet. Med. 11:243-248.

Kitron, U., and J.J. Kazmierczak. 1997. Spatial analysis of the distribution of Lyme disease in Wisconsin. Am. J. Epidem. 145(6):558-566.

Kitron, U., L.H. Otieno, L.L. Hungerford, A. Odulaja, W.U. Brigham, O.O. Okello, M. Joselyn, M.M. Mohamed-Ahmed, and E. Cook. 1996. Spatial analysis of the distribution of tsetse flies in the Lambwe Valley, Kenya, using Landsat TM satellite imagery and GIS. J. Animal Ecol. 65:371-380.

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Any additions or corrections to this bibliography should be directed to Louisa Beck.
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