Geoscience Reference
In-Depth Information
Baylis M, Meiswinkel R, Venter GJ (1999) A preliminary attempt to use climate data and
satellite imagery to model the abundance and distribution of Culicoides imicola (Diptera:
Ceratopogonidae) in Southern Africa. Tydskr South Afr Vet Ver 70(2):80-89
Beck LR, Lobitz BM, Wood BL (2000) Remote sensing and human health: new sensors and new
opportunities. Emerg Infect Dis 6:217-226
Beck LR, Rodriguez MH, Dister SW, Rodriguez AD, Washino RK, Roberts DR, Spanner MA
(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
Boone JD, McGwire KC, Otteson EW, DeBaca RS, Kuhn EA, Villard P, Brussard PF, St. Jeor
SC (2000) Remote sensing and geographic information systems: Charting Sin Nombre Virus
infections in deer mice. Emerg Infect Dis 6:248-258
Brooker S (2007) Spatial epidemiology of human schistosomiasis in Africa: risk models, transmis-
sion dynamics and control. Trans R Soc Trop Med Hyg 101(1):1-8
Brooker S, Hay SI, Tchuenté LT, Ratard R (2002) Using NOAA-AVHRR data to model human
helminth distributions in planning disease control in Cameroon, West Africa. Photogramm Eng
Remote Sens 68(2):175-179
Brooker S, Clarke S, Njagi JK, Polack S, Mugo B, Estambale B, Muchiri E, Magnussen P, Cox J
(2004) Spatial clustering of malaria and associated risk factors during an epidemic in a highland
area of western Kenya. Trop Med Int Health 9(7):757-766
Brown HE, Diuk-Wasser MA, Guan Y, Caskey S, Fish D (2008) Comparison of three satellite
sensors at three spatial scales to predict larval mosquito presence in Connecticut wetlands.
Remote Sens Environ 12(5):2301-2308
Carbajo AE, Schweigmann N, Curto SI, de Garin A, Bejarán R (2001) Dengue transmission risk
maps of Argentina. Trop Med Int Health 6:170-183
Casimiro E, Calheiros J, Santos FD, Kovats S (2006) National assessment of human health
effects of climate change in Portugal: approach and key findings. Environ Health Perspect
114(12):1950-1956
Chauhan AJ, Johnston SL (2003) Air Pollution and Infection in Respiratory Illness. Br Med Bull
68:95-112
Cross ER, Newcomb WW, Tucker CJ (1996) Use of weather data and remote sensing to predict
the seasonal distribution of Phlebotomus papatasi in southwestern Asia. Am J Trop Med Hyg
54:530-536
Cuevas LE, Jeanne I, Molesworth A, Bell M, Savory EC et al (2007) Risk mapping and early
warning systems for the control of meningitis in Africa. Vaccine 25:A12-A17
Daniel M, Zitek K, Danielová V, Kríz B, Valter J, Kott I (2006) Risk assessment and prediction of
Ixodes ricinus tick questing activity and human tick-borne encephalitis infection in space and
time in the Czech Republic. Int J Med Microbiol 296(1):41-47
Danson FM, Giraudoux P, Craig PS (2006) Spatial modeling and ecology of Echinococcus
multilocularis transmission in China. Parasitol Int 55(1):S227-S231
De La Rocque S, Michel V, Plazaneta D, Pinc R (2004) Remote sensing and epidemiology:
examples of applications for two vector-borne diseases. Comp Immunol Microbiol Infect Dis
27(5):331-341
Ebi KL (2007) Using health models to prepare for and cope with climate change. Clim Change
88(1):1-3
Elnaiem DA, Connor SJ, Thomson MC, Hassan MM, Hassan HK, Aboud MA, Ashford RW (1998)
Environmental determinants of the distribution of Phlebotomus orientalis in Sudan. Ann Trop
Med Parasitol 92(8):877-887
Estrada-Peña A, Venzal JM (2006) High-resolution predictive mapping for Boophilus annulatus
and B. microplus (Acari: ixodidae) in Mexico and Southern Texas. Vet Parasitol 142(3-4):350-
358
Flanary BE, Kletetschka G (2005) Analysis of telomere length and telomerase activity in tree
species of various life-spans, and with age in the bristlecone pine Pinus longaeva. Biogerontol
6(2):101-111
