Fuentes, M.V. (2006): Remote Sensing and Climate Data as a Key for Understanding Fasciolosis Transmission in the Andes: Review and Update of an Ongoing Interdisciplinary Project. Geospatial Health, Vol. 1, 59-70.
Vector-borne diseases such as malaria cause tremendous public health burden globally. Malaria is endemic in >100 countries and ~40% of the world’s population is at malaria risk. Malaria is a local and focal disease. Besides ecological parameters which influence the disease there are some important local factors such as socioeconomic, socio-cultural and behaviour patterns of the community which play a major role in disease transmission.
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Daash, A. et al. (2009): Geographical Information System (GIS) in Decision Support to Control Malaria - A Case Study of Koraput District in Orissa, India. Journal of Vector Borne Diseases, Vol. 46, 72-74.
Sudhakar, S. et al. (2006): Mapping of Risk Prone Areas of Kala-Azar (Visceral leishmaniasis) in Parts of Bihar State, India: an RS and GIS Approach. Journal of Vector Borne Diseases, Vol. 43, 115-122.
Zou, L. et al. (2006): Mosquito Larval Habitat Mapping Using Remote Sensing and GIS: Implications of Coalbed Methane Development and West Nile Virus. Journal of Medical Entomology, Vol. 45, No. 5, 1034-1041.
Lobitz, B. et al. (2000): Climate and Infectious Disease: Use of Remote Sensing for Detection of Vibrio Cholerae by Indirect Measurement. Proceedings of the National Academy of Sciences of the United States of America, Vol. 97, No. 4, 1438-1443.