Application of remote sensing and gis for the monitoring of diseases: A unique research agenda for geographers

Vector‐borne diseases are a heavy burden on the population of the world, especially for the poor people of developing countries. With traditional methods inadequate for control and eradication, remote sensing (RS) and geographic information systems (GIS) offer potential to combat these diseases through development of risk maps, that is, maps which show areas where human populations live in environmental conditions susceptible to disease infestation. However, appropriate application requires proper training of health scientists in these technologies and of geographers in the field of epidemiology and public health. To help achieve this goal, this paper provides: (a) a review of the impact of RS and GIS on the monitoring of vector‐borne diseases, (b) an evaluation of the contribution of geographers, (c) an examination of the role and significance of geography in this area of research, and (d) a proposal for a research agenda for geographers in this growing field of inquiry.

[1]  M. Spanner,et al.  Assessment of a remote sensing-based model for predicting malaria transmission risk in villages of Chiapas, Mexico. , 1997, The American journal of tropical medicine and hygiene.

[2]  B. Cline,et al.  New eyes for epidemiologists: aerial photography and other remote sensing techniques. , 1970, American journal of epidemiology.

[3]  P. Jovanović Remote sensing of environmental factors affecting health , 1987 .

[4]  M. Hugh-jones,et al.  Applications of remote sensing to the identification of the habitats of parasites and disease vectors. , 1989, Parasitology today.

[5]  R K Washino,et al.  Application of remote sensing to arthropod vector surveillance and control. , 1994, The American journal of tropical medicine and hygiene.

[6]  P. Epstein Is global warming harmful to health? , 2000, Scientific American.

[7]  David M. Mark,et al.  The University Consortium for Geographic Information Science , 1995 .

[8]  P. Arámbulo,et al.  Perspectives on the application of remote sensing and geographic information system to disease control and health management , 1991 .

[9]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[10]  B S Schwartz,et al.  Environmental risk factors for Lyme disease identified with geographic information systems. , 1995, American journal of public health.

[11]  V. Sharma,et al.  Role of geographic information system in malaria control. , 1997, The Indian journal of medical research.

[12]  D R Roberts,et al.  The Environment, Remote Sensing, and Malaria Control , 1994, Annals of the New York Academy of Sciences.

[13]  Waldo R. Tobler,et al.  Automation and Cartography , 1959 .

[14]  B. Wood,et al.  Estimating high mosquito-producing rice fields using spectral and spatial data , 1992 .

[15]  N. D. Levine,et al.  NATURAL NIDALITY OF TRANSMISSIBLE DISEASES , 1966 .

[16]  E. Cross,et al.  Predicting areas endemic for schistosomiasis using weather variables and a Landsat data base. , 1984, Military medicine.

[17]  W. Cibula,et al.  Some implications of remote sensing technology in insect control programs including mosquitoes. , 1979 .

[18]  D R Roberts,et al.  Remote sensing of tropical wetlands for malaria control in Chiapas, Mexico. , 1994, Ecological applications : a publication of the Ecological Society of America.

[19]  A. Gatrell,et al.  Health and health care applications , 2022 .

[20]  B. Wood,et al.  Distinguishing high and low anopheline-producing rice fields using remote sensing and GIS technologies , 1991 .

[21]  F. Richards,et al.  Use of geographic information systems in control programs for onchocerciasis in Guatemala. , 1993, Bulletin of the Pan American Health Organization.

[22]  U. Kitron,et al.  Landscape ecology and epidemiology of vector-borne diseases: tools for spatial analysis. , 1998, Journal of medical entomology.

[23]  J. Garvin,et al.  Landsat-TM identification of Amblyomma variegatum (Acari : Ixodidae) habitats in Guadeloupe , 1992 .

[24]  B. Wood,et al.  Overview of field studies for the application of remote sensing to the study of malaria transmission in Tapachula, Mexico , 1991 .

[25]  R. O. Hayes,et al.  Detection, identification, and classification of mosquito larval habitats using remote sensing scanners in earth-orbiting satellites. , 1985, Bulletin of the World Health Organization.

[26]  Keith C. Clarke,et al.  The use of remote sensing and geographic information systems in UNICEF's dracunculiasis (Guinea worm) eradication effort , 1991 .

[27]  D. Savigny,et al.  GIS for Health and the Environment , 1995 .

[28]  I Nuttall,et al.  New geographical approaches to control of some parasitic zoonoses. , 1995, Bulletin of the World Health Organization.

[29]  S. Hay,et al.  Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data. , 1998, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[30]  S Openshaw,et al.  Geographical information systems and tropical diseases. , 1996, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[31]  D R Roberts,et al.  Predictions of malaria vector distribution in Belize based on multispectral satellite data. , 1996, The American journal of tropical medicine and hygiene.

[32]  V. E. Wagner,et al.  Remote sensing: a rapid and accurate method of data acquisition for a newly formed mosquito control district. , 1979 .

[33]  K. C. Clarke,et al.  On epidemiology and geographic information systems: a review and discussion of future directions. , 1996, Emerging infectious diseases.

[34]  M. Thomson,et al.  Mapping malaria risk in Africa: What can satellite data contribute? , 1997, Parasitology today.

[35]  S I Hay,et al.  Remote sensing and disease control: past, present and future. , 1997, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[36]  Mary E. Wilson,et al.  Disease in Evolution: Global Changes and Emergence of Infectious Diseases. Proceedings of a conference. Woods Hole, Massachusetts, November 7-10, 1993. , 1994, Annals of the New York Academy of Sciences.

[37]  R. Snow,et al.  Mapping malaria transmission intensity using geographical information systems (GIS): an example from Kenya. , 1998, Annals of tropical medicine and parasitology.

[38]  Van der Stuyft,et al.  Editorial: Geographical Information Systems (GIS), gimmick or tool for health district management? , 1998, Tropical medicine & international health : TM & IH.

[39]  Rudi Slooff,et al.  Satellite imaging and vector-borne disease , 1993, The Lancet.

[40]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[41]  C. Tucker,et al.  Towards real-time prediction of Rift Valley fever epidemics in Africa. , 1991 .

[42]  W. Gesler The uses of spatial analysis in medical geography: a review. , 1986, Social science & medicine.

[43]  Frederick R. Broome,et al.  Geographic information systems (GIS): new perspectives in understanding human health and environmental relationships. , 1996, Statistics in medicine.

[44]  D R Roberts,et al.  Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission. , 1994, The American journal of tropical medicine and hygiene.

[45]  Introductory remarks on the application of remote sensing and geographic information systems to epidemiology and disease control , 1991 .

[46]  O. Kratochvil [Medical geography]. , 1976, Zdravotnicka pracovnice.

[47]  D. J. Briggs Mapping environmental exposure , 1996 .

[48]  P. Haggett,et al.  Spatial aspects of epidemic control , 1989 .

[49]  Satellite data rocket disease control efforts into orbit. , 1993, Science.

[50]  M. Thomson,et al.  The ecology of malaria--as seen from Earth-observation satellites. , 1996, Annals of tropical medicine and parasitology.

[51]  A. Gatrell,et al.  GIS and health , 1998 .

[52]  S. Hay,et al.  From predicting mosquito habitat to malaria seasons using remotely sensed data: practice, problems and perspectives. , 1998, Parasitology today.

[53]  E. Gilbert,et al.  Pioneer Maps of Health and Disease in England , 1958 .

[54]  C. Tucker,et al.  Detection of Rift Valley fever viral activity in Kenya by satellite remote sensing imagery. , 1987, Science.

[55]  Application of remotely sensed multispectral data to automated analysis of marshland vegetation. Inference to the location of breeding habitats of the salt marsh mosquito (Aedes Sollicitans) , 1976 .

[56]  S I Hay,et al.  Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of disease. , 1996, Annals of tropical medicine and parasitology.

[57]  E. Rejmánková,et al.  Predictions of adult Anopheles albimanus densities in villages based on distances to remotely sensed larval habitats. , 1995, The American journal of tropical medicine and hygiene.

[58]  Richards Fo,et al.  Use of geographic information systems in control programs for onchocerciasis in Guatemala. , 1993 .

[59]  U. Kitron,et al.  Geographic information system in malaria surveillance: mosquito breeding and imported cases in Israel, 1992. , 1994, The American journal of tropical medicine and hygiene.

[60]  C J Tucker,et al.  Application of polar‐orbiting, meteorological satellite data to detect flooding of Rift Valley Fever virus vector mosquito habitats in Kenya , 1990, Medical and veterinary entomology.

[61]  Simon I. Hay,et al.  The impact of remote sensing on the study and control of invertebrate intermediate hosts and vectors for disease , 1997 .