Previous studies (R-T)

 

Randolph, S.E. 1993. Climate, satellite imagery and the seasonal abundance of the tick Rhipicephalus appendiculatus in southern Africa, a new perspective. Med. Vet. Entomol. 7:243-258.

 

Randolph, S.E. 2000. Ticks and tick-borne disease systems in space and from space. Book chapter: Remote Sensing and GIS in Public Health. Advances in Parasitology, vol. 47 [S. Hay, D. Rogers, S. Randolph, eds.]. Academic Press. pp. 217-243.

 

Rejmánková, E., D.R. Roberts, A. Pawley, S. Manguin, and J. Polanco. 1995. Predictions of adult Anopheles albimanus densities in villages based on distance to remotely sensed larval habitats. Am. J. Trop. Meg. Hyg. 53(5):482-488.

 

Riley, J.R. 1989. Remote sensing in entomology. Ann. Rev. Entomol. 34:247-271.

 

Roberts, D.R., J.F. Paris, S. Manguin, R.E. Harbach, R. Woodruff, E. Rejmánková, J. Polanco, B. Wullschleger, and L.J. Legters. 1996. Predictions of malaria vector distribution in Belize based on multispectral satellite data. Am. J. Trop. Med. Hyg. 54(3):304-308.

 

Roberts, D.R., and M.H. Rodríguez. 1994. The environment, remote sensing, and malaria control. Disease in evolution: Global changes and emergence of infectious diseases. Ann. New York Acad. Sci. 740:396-402.

 

Roberts, D., H. Savage, L. Legters, M. Rodríguez, A. Rodríguez-Ramírez, E. Rejmánková, K. Pope, B. Wood, and J. Salute. 1991. Overview of field studies for the application of remote sensing to the study of malaria transmission in Tapachula, Mexico. Prev. Vet. Med.11:269-278.

 

Robinson, T.P., D.J. Rogers, and B. Williams. 1997b. Mapping tsetse habitat suitability in the common fly belt of Southern Africa using multivariate analysis of climate and remotely sensed data. Med. Vet. Entomol. 11:235-245.

 

Rodríguez, A.D., M.H. Rodríguez, J.E. Hernández, S.W. Dister, L.R. Beck, E. Rejmánková, and D.R. Roberts. 1996. Landscape surrounding human settlements and malaria mosquito abundance in southern Chiapas, Mexico. J. Med. Entomol. 33(1):39-48.

 

Rogers, D.J. 1993. Remote sensing and the changing distribution of tsetse flies in Africa. Insects in a Changing Environment, R. Harrington and N. Stork (eds), pp. 178-193.

 

Rogers, D.J. 1991. Satellite imagery, tsetse and trypanosomiasis. Prev. Vet. Med. 11:201-220.

 

Rogers, D.J. 2000. Satellites, space, time and the African trypanosomiases. Book chapter: Remote Sensing and GIS in Public Health. Advances in Parasitol., vol. 47 [S. Hay, S. Randolph, D. Rogers, eds.]. Academic Press, pp. 130-171.

 

Rogers, D.J., S.I. Hay, and M.J. Packer. 1996. Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data. Ann. Trop. Med. Parasitol. 90:225-241.

 

Rogers, D.J., and S.E. Randolph. 1991. Mortality rates and population density of tsetse flies correlated with satellite imagery. Nature 351:739-741.

Rogers, D.J., and S.E. Randolph. 1994. Satellite imagery, tsetse flies and sleeping sickness in Africa. Sistema Terra Year III:40-43.

 

Rogers, D.J., S.E. Randolph, R.W. Snow, and S.I. Hay. 2002. Satellite imagery in the study and forecast of malaria. Nature 415:710-715.

 

Rogers, D.J., and B.G. Williams. 1993. Monitoring trypanosomiasis in space and time. Parasitol. (Suppl.) 106:77-92.

 

Rush, M., and S. Vernon. 1975. Prediction of Health Levels by Remote Sensing. NASA Earth Resources Survey Symp. (NASA-TM X-58168, JSC-09930). Johnson Space Center, Houston, TX.

 

Rush, M., and S. Vernon. 1975. Remote sensing and urban public health. Photogram. Eng. Remote Sensing 41:1149-1155.

 

Schofield, C.J. 1990. Remote sensing: No escape for the elusive vectors? TDR News 33:11.

 

Seto, E., B. Xu, S. Liang, P. Gong, W. Wu, G. Davis, D. Qiu, X. Gu, and R. Spear. 2002. The use of remote sensing for predictive modeling of schistosomiasis in China. Photogram. Eng. Remote Sensing 68(2):167-174.

 

Sharma, V.P., R.C. Dhiman, M.A. Ansari, B.N. Nagpal, A. Srivastava, P. Manavalan, S. Adiga, K. Radhakrishana, and M.G. Chandrasekhar. 1996. Study on the feasibility of delineating mosquitogenic conditions in and around Delhi using Indian remote sensing satellite data. Intl J. Malariol. 33:107-25.

 

Sharma V.P., B.N. Nagpal, Aruna Srivastava, S. Adiga, and P. Manavalam. 1997. Estimation of larval production in Sanjay lake and its surrounding ponds in Delhi, India, using Remote Sensing Technology. Southeast Asian J. Trop. Med. Pub. Health 27:834-840.

 

Thomas, C.J., and S.W. Lindsay. 2000. Local-scale variation in malaria infection amongst rural Gambian children estimated by satellite remote sensing. Trans. Royal Soc. Trop. Med. Hyg. 94(2):159-63.

 

Thomson, M.C., and S.J. Connor. 2001. Malaria Early Warning Systems: Concepts, Indicators and Partners. WHO/CDS/Roll Back Malaria 2001.32, Geneva, Switzerland, 80pp.

 

Thomson, M.C., S.J. Connor, P.J.M. Milligan, and S.P. Flasse. 1996. The ecology of malaria - as seen from Earth-observation satellites. Ann. Trop. Med. Parasitol. 90(3):243-264.