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Publications
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2000
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Tanser F.C.
et al. 2000. Health service utilisation patterns in rural
Kwa-Zulu Natal: implications for the optimal siting of health
facilities in rural areas. In Preparation
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Tanser, F.C. and Palmer A.R.
2000. The relationship between remotely-sensed vegetation
indices and biomass/degradation in semi-arid, heterogeneous
environments: the Great Fish River Valley Experience. In
preparation
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Tanser, F.C. et al. 2000.
Geographic patterns of Tuberculosis distribution in the
Hlabisa district, 1991-1998. In Preparation
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Tanser, F.C. 2000. Geographic
accessibility and the prediction and equitable distribution of
fieldworker workload in a large, rural South African health
Survey. Submitted to Social
Science & Medicine
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Tanser F.C. et al. 2000.
Malaria seasonality and climate change: implications For
Africa’s disease burden. Submitted to Emerging Infectious
Diseases
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Tanser, F.C.
and Palmer A.R. (in Press) 2000. Remotely-sensed vegetation
mapping of the Great Fish River basin, South Africa, using the
moving standard deviation index (MSDI) as a classification
enhancement tool. Submitted to Journal Of
Vegetation
Science |
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Tanser F.C. et al. 2000. HIV
heterogeneity and proximity of homesteads to roads in rural
South Africa: An exploration using a GIS. Tropical
Medicine and International Health.
5 (1):
40 - 46.
Abstract
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1999 |
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Tanser, F.C. and Palmer
A.R. 1999. The application of a remotely-sensed diversity
index to monitor degradation patterns in a semi-arid,
heterogeneous, South African landscape. Journal of Arid
Environments. 43(4): 477-484.
Abstract
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Tanser, F.C. and Wilkinson,
D. 1999. The Spatial Implications of the DOTS Strategy: A
novel application of GIS and GPS technologies. Tropical
Medicine and International Health.
4(10):634-638.
Abstract
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Wilkinson, D. and Tanser,
F.C. 1999. GIS/GPS Technology to document improved access to
tuberculosis treatment in Africa. The Lancet.
354(9176):394-5.
Abstract
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1998 |
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Snow, RW; Gouws, E;
Omumbo ,JA; Rapuoda, B; Craig, MH; Tanser, F; Le Sueur, D and
Ouma, J 1998. Models to Predict the Intensity of Plasmodium
falciparum Transmission: Applications to the burden of Disease
in Kenya. Transactions of
the Royal Society of Tropical Medicine and Hygiene.
92(6):601-6.
Abstract
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