Geoscience Reference
In-Depth Information
Rogers DJ (2000) Satellites, space, time and the African trypanosomiases. Adv Parasitol 47:
129-171
Rogers DJ, Randolph SE (1994) Satellite imagery, tsetse flies and sleeping sickness in Africa.
Sistema Terra Year III:40-43
Rogers DJ, Randolph SE, Snow RW, Hay SI (2002) Satellite imagery in the study and forecast of
malaria. Nat 415:710-715
Rogers DJ, Hay SI, Packer MJ (1996) Predicting the distribution of tsetse flies in West Africa
using temporal Fourier processed meteorological satellite data. Ann Trop Med Parasitol 90:
225-241
Rotela C, Florence F, Mario L, Phillipe S, Virginia I, Mario Z, Scavuzzo C (2007) Space-time
analysis of the dengue spreading dynamics in the 2004 Tartagal outbreak, Northern Argentina.
Acta Trop 103(1):1-13
Scawthorn C, Blais N, Seligson H, Tate E, Mifflin E, Thomas W, Murphy J, Jones C (2006)
HAZUS-MH flood loss estimation methodology. I: Overview and flood hazard characterization.
Nat Hazards Rev 7(2):60-71
Spear RC, Gong P, Seto E, Zhou Y, Xu B, Liang S, Davis D, Gu X (1998) Remote Sensing
and GIS for schistosomiasis control in mountainous areas in Sichuan, China. Geogr Inf Syst
4(1-2):14-22
Segerström U, von Stedingk H (2003) Early-Holocene spruce, Picea abies (L.) Karst., in west
central Sweden as revealed by pollen analysis. Holocene 13(6):897-906
Srivatsava A, Nagpal BN, Saxena R, Subbarao SK (2001) Predictive habitat modeling for forest
malaria vector species An. Dirus in India - A GIS based approach. Curr Sci 80:1129-1134
Sudhakar S, Srinivas T, Palit A, Kar SK, Battacharya SK (2006) Mapping of risk prone areas of
kala-azar (visceral leishmaniasis) in parts of Bihar State India: an RS and GIS approach. J
Vector Borne Dis 43:115-122
Šumilo D, Bormane A, Asokliene L, Lucenko I, Vasilenko V, Randolph S (2006) Tick-borne
encephalitis in the Baltic States: identifying risk factors in space and time. Int J Med Microbiol
296(1):76-79
Tappan G, Hadj A, Wood E, Lietzow R (2000) Use of argon, corona, and Landsat imagery to
assess 30 years of land resource changes in west-central Senegal. Photogramm Eng Remote
Sens 6:727-735
Tatem AJ, Goetz SJ, Hay SI (2004) Terra and Aqua: new data for epidemiology and public health.
Int J Appl Earth Obs Geoinf 6(1):33-46
Thomson MC, Obsomer V, Dunne M, Connor SJ, Molyneux DH (2000) Satellite mapping of
Loa Loa prevalence in relation to ivermectin use in West and Central Africa. The Lancet
356(9235):1077-1078
Thomson MC, Connor SJ (2000) Environmental information systems for the control of arthropod
vectors of disease. Med Vet Entomol. 14:227-244
Thomson MC, Connor SJ, Milligan PJM, Flasse SP (1996) The ecology of malaria seen by earth-
observation satellites. Ann Trop Med Parasitol 90:243-264
Thomson MC, Molesworth AM, Djingarey MH, Yameogo KR, Belanger F, Cuevas LE (2006)
Potential of environmental models to predict meningitis epidemics in Africa. Trop Med Int
Health 11(6):781-788
Tran A, Ponçon N, Toty C, Linard C, Guis H, Ferré J-B, Seen DL, Roger F, Rocque S, Fontenille
D, Baldet T (2008) Using remote sensing to map larval and adult populations of Anopheles hyr-
canus (Diptera: Culicidae) a potential malaria vector in Southern France. Int J Health Geogr 7:9
doi:10.1186/1476-072X-7-9. Open access: http://www.ij-healthgeographics.com/content/7/1/9
Tralli DM, Blom RG, Fielding EJ, Donnellan A, Evans DL (2007) Conceptual case for assimilating
interferometric synthetic aperture radar data into the HAZUS-MH earthquake module. IEEE
Trans Geosci Remote Sens 45(6):1595-1604
Tran A, Gordon J, Weber S, Polidori L (2002) Mapping disease incidence in suburban areas using
remotely sensed data. Am J Epidemiol 156:662-668
US Army Corps of Engineers (USACE) (2002) HEC-RAS: river analysis system. hydraulic
reference manual, version 3.1. Hydrologic Engineering Center, Davis, CA
Search WWH ::




Custom Search