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

Remote Sensing Reviews

Volumn 20, Issue 1, 2001, Pages 45-70

  Kazmi, Syed Jamil Hasan ^a   Usery, E Lynn ^a  

^a UNIVERSITY OF GEORGIA   (United States)

Author keywords

Geographers; Geographic information systems (GIS); Habitats; Remote sensing (RS); Vector borne diseases

Indexed keywords

DISEASES; EPIDEMIOLOGY; GEOGRAPHIC INFORMATION SYSTEMS; HEALTH CARE;

PUBLIC HEALTH;

REMOTE SENSING;

GIS; INFECTIOUS DISEASE; MAPPING; REMOTE SENSING; RISK ASSESSMENT;

EID: 0035283904     PISSN: 02757257     EISSN: None     Source Type: Journal    
DOI: 10.1080/02757250109532427     Document Type: Article

References (82)

1. Perspectives on the application of remote sensing and geographic information system to disease control and health management
2. Medical geography
3. A summary topographical acount of Scrub Typhus 1908-46
4. Satellite data rockets disease control efforts into orbit
5. An historical perspective on the applications of remote sensing to public health
6. Some implications of remote sensing technology in insect control programs including mosquitoes
7. Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission
8. Assessment of a remote sensing based model for predicting malaria transmission risk in villages of Chiapas, Mexico
9. Geographical information system (GIS): Gimmick or tool for health district management
10. Mapping environmental exposure
11. Application of remotely sensed multispectral data to automated analysis of marshland vegetation
12. On epidemiology and geographic information systems: A review and discussion of future directions
13. The use of remote sensing and geographic information systems in UNICEF'S dracunculiasis (Guinea worm) eradication effort
14. Spatial aspects of epidemic control
15. New eyes for epidemiologists: Aerial photography and other remote sensing techniques
16. The contribution of satellite derived information to malaria stratification, monitoring and early warning
17. Geographic informations systems (GIS): New perspectives in understanding human health and environmental relationships
18. Predicting areas endemic for schistosomiasis using weather variables and a Landsat data base
19. Is global warning harmful to health
20. Satellite imaging and vector-borne disease
21. Health and health care applications
22. The use of spatial analysis in medical geography: A review
23. Pioneer maps of health and disease in England
24. Environmental risk factors for Lyme disease identified with geographic information systems
25. Remote sensing and disease control: Past, present and future
26. The impact of remote sensing on the study and control of invertebrate intermediate hosts and vectors for disease
27. From predicting mosquito habitat to malaria seasons using remotely sensed data: Practice, problems and perspectives
28. Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data
29. Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of disease
30. Detection, identification, and classification of mosquito larval habitats using remote sensing scanners in earth-orbiting satellites
31. Applications of remote sensing to the identification of the habitats of parasites and disease vectors
32. Introductory remarks on the application of remote sensing and geographic information systems to epidemiology and disease control
33. Landsat-TM identification of Amblyomma variegatum (Acari: Ixodidae) habitats in Guadeloupe
34. Remote sensing of environmental factors affecting health
35. Satellite technology for primary health care
36. Satellite medicine
37. Landscape ecology and epidemiology of vector-borne diseases: Tools for spatial analysis
38. Geographic information system in malaria surveillance: Mosquito breeding and imported cases in Israel, 1992
39. Towards real-time prediction of Rift Valley Fever epidemics in Africa
40. Detection of Rift Valley Fever viral activity in Kenya by satellite remote sensing imagery
41. Applications of polar-orbiting, meteorological satellite data to detect flooding in Rift Valley Fever virus vector mosquito habitats in Kenya
42. GIS, time geography and health
43. An overview and definition of GIS
44. New geographical approaches to control of some parasitic zoonoses
45. The design of a remote sensing platform for malaria research and control
46. Mapping malaria transmission intensity using geographical information systems (GIS): An example from Kenya
47. Geographical information systems and tropical diseases
48. Progress report on the the use of remote sensing data to survey mosquito larval habitats in California rice fields
49. Remote sensing of tropical wetlands for malaria control in Chiapas, Mexico
50. Aquatic vegetation in rice fields as a habitat factor for Culex tarsails and Anopheles freeborni
51. Predictions of adult Anopheles albimanus densities in villages based on distance to remotely sensed larval habitats
52. Use of geographic information systems in control programs for onchocerciasis in Guatemala
53. Predictions of malaria vector distribution in Belize based on multispectral satellite data
54. The environment, remote sensing, and malaria control. Disease in evolution: Global changes and emergence of infectious diseases
55. Overview of field studies for the application of remote sensing to the study of malaria transmission in Tapachula, Mexico
56. GIS for health and the environment
57. Role of geographic information-system in malaria control
58. The ecology of malaria - As seen from Earth-observation satellites
59. Mapping malaria risk in Africa, what can satellite data contribute?
60. Automation and cartography
61. History of GIS
62. GIS applications for environment and health
63. Remote sensing: A rapid and accurate method of data acquisition for a newly formed mosquito control district
64. Application of remote sensing to vector arthropod surveillance and control
65. Microcomputers in the mapping sciences
66. Estimating high mosquito-producing rice fields using spectral and spatial data
67. Assessment of potential malaria risk in Central America
68. Distinguishing high and low anopheline-producing rice fields using remote sensing and GIS technologies