Satellite imagery in the study and forecast of malaria
Top Cited Papers
- 7 February 2002
- journal article
- review article
- Published by Springer Nature in Nature
- Vol. 415 (6872) , 710-715
- https://doi.org/10.1038/415710a
Abstract
More than 30 years ago, human beings looked back from the Moon to see the magnificent spectacle of Earth-rise. The technology that put us into space has since been used to assess the damage we are doing to our natural environment and is now being harnessed to monitor and predict diseases through space and time. Satellite sensor data promise the development of early-warning systems for diseases such as malaria, which kills between 1 and 2 million people each year.Keywords
This publication has 39 references indexed in Scilit:
- El Niño and healthThe Lancet, 2003
- A Climate-based Distribution Model of Malaria Transmission in Sub-Saharan AfricaParasitology Today, 1999
- Measuring the strength of ENSO events: How does 1997/98 rank?Weather, 1998
- From Predicting Mosquito Habitat to Malaria Seasons Using Remotely Sensed Data: Practice, Problems and PerspectivesParasitology Today, 1998
- An Autologistic Model for the Spatial Distribution of WildlifeJournal of Applied Ecology, 1996
- Will reducing Plasmodium falciparum transmission alter malaria mortality among African children?Parasitology Today, 1995
- Distribution of tsetse and ticks in Africa: Past, present and futureParasitology Today, 1993
- Mortality rates and population density of tsetse flies correlated with satellite imageryNature, 1991
- A General Model for Tsetse PopulationsInternational Journal of Tropical Insect Science, 1990
- Analyzing Multivariate DataJournal of Marketing Research, 1981