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Published in: Malaria Journal 1/2003

Open Access 01-12-2003 | Review

Challenges in using geographic information systems (GIS) to understand and control malaria in Indonesia

Authors: Neil G Sipe, Pat Dale

Published in: Malaria Journal | Issue 1/2003

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Abstract

Malaria is a mosquito-borne disease of global concern with 1.5 to 2.7 million people dying each year and many more suffering from it. In Indonesia, malaria is a major public health issue with around six million clinical cases and 700 deaths each year. Malaria is most prevalent in the developing countries of the world. Aid agencies have provided financial and technical assistance to malaria-prone countries in an effort to battle the disease. Over the past decade, the focus of some of this assistance has been in the provision of geographic information systems (GIS) hardware, software and training. In theory, GIS can be a very effective tool in combating malaria, however, in practice there have been a host of challenges to its successful use.
This review is based, in part, on the literature but also on our experience working with the Indonesian Ministry of Health. The review identifies three broad problem areas. The first of these relates to data concerns. Without adequate data, GIS is not very useful. Specific problem areas include: accurate data on the disease and how it is reported; basic environmental data on vegetation, land uses, topography, rainfall, etc.; and demographic data on the movement of people. The second problem area involves technology – specifically computer hardware, GIS software and training. The third problem area concerns methods – assuming the previous data and technological problems have been resolved – how can GIS be used to improve our understanding of malaria? One of the main methodological tools is spatial statistical analysis, however, this is a newly developing field, is not easy to understand and suffers from the fact that there is no agreement on standard methods of analysis.
The paper concludes with a discussion of strategies that can be used to overcome some of these problems. One of these strategies involves using ArcView GIS software in combination with ArcExplorer (a public domain program that can read ArcView files) to deal with the problem of needing multiple copies of GIS software. Another strategy involves the development of a self-paced training package that can be used to train individuals
Literature
1.
go back to reference WHO Expert Committee on Malaria – Twentieth Report. World Health Organization: Geneva. 2000 WHO Expert Committee on Malaria – Twentieth Report. World Health Organization: Geneva. 2000
2.
go back to reference Laihad F: Malaria Surveillance and Control Strategies in Indonesia. Regional Action Conference for Surveillance and Response to Infectious Disease Outbreaks in South East Asia. 2000, Denpasar, Indonesia: WHO/NAMRU/MOH-Indonesia Laihad F: Malaria Surveillance and Control Strategies in Indonesia. Regional Action Conference for Surveillance and Response to Infectious Disease Outbreaks in South East Asia. 2000, Denpasar, Indonesia: WHO/NAMRU/MOH-Indonesia
3.
go back to reference Taylor DRF: GIS in developing nations. Int J Geogr Inf Syst. 1991, 5: 3-3. Taylor DRF: GIS in developing nations. Int J Geogr Inf Syst. 1991, 5: 3-3.
4.
go back to reference Tanser FC, Le Sueur D: The application of geographical information systems to important public health problems in Africa. Int J Health Geogr. 2002, 1: 4-10.1186/1476-072X-1-4.PubMedCentralCrossRefPubMed Tanser FC, Le Sueur D: The application of geographical information systems to important public health problems in Africa. Int J Health Geogr. 2002, 1: 4-10.1186/1476-072X-1-4.PubMedCentralCrossRefPubMed
5.
go back to reference MARA: Towards an atlas of malaria risk in Africa: First technical report of the MARA/ARMA collaboration. Durban, South Africa. 1998 MARA: Towards an atlas of malaria risk in Africa: First technical report of the MARA/ARMA collaboration. Durban, South Africa. 1998
6.
go back to reference Kleinschmidt I, Bagayoko M, Clarke GP, Craig M, Le Sueur D: A spatial statistical approach to malaria mapping. Int J Epidemiol. 2000, 29: 355-61. 10.1093/ije/29.2.355.CrossRefPubMed Kleinschmidt I, Bagayoko M, Clarke GP, Craig M, Le Sueur D: A spatial statistical approach to malaria mapping. Int J Epidemiol. 2000, 29: 355-61. 10.1093/ije/29.2.355.CrossRefPubMed
7.
go back to reference Gunawardena DM, Muthuwattac L, Weerasingha S, Rajakaruna J, Kumara WU, Senanayaka T, Kumar Kotta P, Wickremasinghe AR, Carter R, Mendis KN: Spatial analysis of malaria risk in an endemic region of Sri Lanka. IDRC (International Development Research Centre). 1996 Gunawardena DM, Muthuwattac L, Weerasingha S, Rajakaruna J, Kumara WU, Senanayaka T, Kumar Kotta P, Wickremasinghe AR, Carter R, Mendis KN: Spatial analysis of malaria risk in an endemic region of Sri Lanka. IDRC (International Development Research Centre). 1996
8.
go back to reference Hightower A, Ombok M, Otieno R, Odhiambo R, Oloo AJ, Lal AA, Nahlen BL, Hawley WA: A geographic information system applied to a malaria field study in western Kenya. Am J Trop Med Hyg. 1998, 58: 266-272.PubMed Hightower A, Ombok M, Otieno R, Odhiambo R, Oloo AJ, Lal AA, Nahlen BL, Hawley WA: A geographic information system applied to a malaria field study in western Kenya. Am J Trop Med Hyg. 1998, 58: 266-272.PubMed
9.
go back to reference Hu HPS, Salazar NP, Thimasarn K, Wu Y, Yang H, Zhu D: Factors influencing malaria endemicity in Yunnan Province, PR China. Southeast Asian J Trop Med Public Health. 1998, 29: 191-200.PubMed Hu HPS, Salazar NP, Thimasarn K, Wu Y, Yang H, Zhu D: Factors influencing malaria endemicity in Yunnan Province, PR China. Southeast Asian J Trop Med Public Health. 1998, 29: 191-200.PubMed
10.
go back to reference Craig MH, Snow RW, Le Sueur D: A climate-based distribution model of malaria transmission in sub-Saharan Africa. Parasitol Today. 1999, 15: 105-11. 10.1016/S0169-4758(99)01396-4.CrossRefPubMed Craig MH, Snow RW, Le Sueur D: A climate-based distribution model of malaria transmission in sub-Saharan Africa. Parasitol Today. 1999, 15: 105-11. 10.1016/S0169-4758(99)01396-4.CrossRefPubMed
11.
go back to reference Hay S, Snow R, Rogers D: Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data. Trans R Soc Trop Med Hyg. 1998, 92: 12-20.CrossRefPubMed Hay S, Snow R, Rogers D: Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data. Trans R Soc Trop Med Hyg. 1998, 92: 12-20.CrossRefPubMed
12.
go back to reference Tanser F, Sharp B, Le Sueur D: Malaria seasonality and the potential impact of climate change in Africa. Submitted for publication. 2002 Tanser F, Sharp B, Le Sueur D: Malaria seasonality and the potential impact of climate change in Africa. Submitted for publication. 2002
13.
go back to reference Martens P: Malaria on the move: human population movement and its impact on malaria transmission. Emerg Infect Dis. 2000, 6: 7-13. Martens P: Malaria on the move: human population movement and its impact on malaria transmission. Emerg Infect Dis. 2000, 6: 7-13.
14.
go back to reference Hay S, Cox J, Rogers DJ, Randolph SE, Stern DI, Shanks GD, Myers MF, Snow RW: Climate change and the resurgence of malaria in the East African highlands. Nature. 2002, 415: 905-909. 10.1038/415905a.PubMedCentralCrossRefPubMed Hay S, Cox J, Rogers DJ, Randolph SE, Stern DI, Shanks GD, Myers MF, Snow RW: Climate change and the resurgence of malaria in the East African highlands. Nature. 2002, 415: 905-909. 10.1038/415905a.PubMedCentralCrossRefPubMed
15.
go back to reference Benning TL, LaPointe D, Atkinson CT, Vitousek PM: Interactions of climate change with biological invasions and land use in the Hawaiian Islands: Modeling the fate of endemic birds using a geographic information system. Proc Natl Acad Sci USA. 2002, 14246-14249. 10.1073/pnas.162372399. Benning TL, LaPointe D, Atkinson CT, Vitousek PM: Interactions of climate change with biological invasions and land use in the Hawaiian Islands: Modeling the fate of endemic birds using a geographic information system. Proc Natl Acad Sci USA. 2002, 14246-14249. 10.1073/pnas.162372399.
16.
go back to reference Lindsay S, Martens W: Malaria in the African highlands: past, present and future. Bull World Health Organ. 1998, 76: 33-45.PubMedCentralPubMed Lindsay S, Martens W: Malaria in the African highlands: past, present and future. Bull World Health Organ. 1998, 76: 33-45.PubMedCentralPubMed
17.
go back to reference Kitron U, Pener H, Costin C, Orshan L, Greenberg Z, Shalom Z: Geographic information system in malaria surveillance: mosquito breeding and imported cases in Israel, 1992. Am J Trop Med Hyg. 1994, 50: 550-556.PubMed Kitron U, Pener H, Costin C, Orshan L, Greenberg Z, Shalom Z: Geographic information system in malaria surveillance: mosquito breeding and imported cases in Israel, 1992. Am J Trop Med Hyg. 1994, 50: 550-556.PubMed
18.
go back to reference Foley DH, Torres EP, Mueller I: Stream-bank shade and larval distribution of the Philippine malaria vector Anopheles flavirostris. Med Vet Entomol. 2002, 16: 347-55. 10.1046/j.1365-2915.2002.00382.x.CrossRefPubMed Foley DH, Torres EP, Mueller I: Stream-bank shade and larval distribution of the Philippine malaria vector Anopheles flavirostris. Med Vet Entomol. 2002, 16: 347-55. 10.1046/j.1365-2915.2002.00382.x.CrossRefPubMed
19.
go back to reference Booman M, Durrheim DN, La Grange K, Martin C, Mabuza AM, Zitha A, Mbokazi FM, Fraser C, Sharp BL: Using a geographical information system to plan a malaria control programme in South Africa. Bull World Health Organ. 2000, 78: 1438-1444.PubMedCentralPubMed Booman M, Durrheim DN, La Grange K, Martin C, Mabuza AM, Zitha A, Mbokazi FM, Fraser C, Sharp BL: Using a geographical information system to plan a malaria control programme in South Africa. Bull World Health Organ. 2000, 78: 1438-1444.PubMedCentralPubMed
20.
go back to reference Mnzava AE, Sharp BL, Mthembu DJ, Le Sueur D, Dlamini SS, Gumede JK, Kleinschmidt I: Malaria control – two years' use of insecticide-treated bednets compared with insecticide house spraying in KwaZulu-Natal. S Afr Med J. 2001, 91: 978-983.PubMed Mnzava AE, Sharp BL, Mthembu DJ, Le Sueur D, Dlamini SS, Gumede JK, Kleinschmidt I: Malaria control – two years' use of insecticide-treated bednets compared with insecticide house spraying in KwaZulu-Natal. S Afr Med J. 2001, 91: 978-983.PubMed
21.
go back to reference Martin C, Curtis B, Fraser C, Sharp BL: The use of a GIS-based malaria information system for malaria research and control in South Africa. Health & Place. 2002, 8: 227-236. 10.1016/S1353-8292(02)00008-4.CrossRef Martin C, Curtis B, Fraser C, Sharp BL: The use of a GIS-based malaria information system for malaria research and control in South Africa. Health & Place. 2002, 8: 227-236. 10.1016/S1353-8292(02)00008-4.CrossRef
22.
go back to reference Thomson M, Connor S, D'Alessandro U, Rowlingson B, Diggle P, Cresswell M, Greenwood B: Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results. Am J Trop Med Hyg. 1999, 61: 2-8.PubMed Thomson M, Connor S, D'Alessandro U, Rowlingson B, Diggle P, Cresswell M, Greenwood B: Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results. Am J Trop Med Hyg. 1999, 61: 2-8.PubMed
23.
go back to reference Beck LR, Rodriguez MH, Dister SW, Rodriguez AD, Washino RK, Roberts DR, Spanner MA: Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission. Am J Trop Med Hyg. 1994, 51: 271-280.PubMed Beck LR, Rodriguez MH, Dister SW, Rodriguez AD, Washino RK, Roberts DR, Spanner MA: Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission. Am J Trop Med Hyg. 1994, 51: 271-280.PubMed
24.
go back to reference Beck LR, Rodriguez MH, Dister SW, Rodriguez AD, Rejmankova E, Ulloa A, Zema RA, Roberts DR, Paris JF, Spanner MA: Assessment of a remote sensing-based model for predicting malaria transmission in villages of Chiapas, Mexico. Am J Trop Med Hyg. 1997, 56: 99-106.PubMed Beck LR, Rodriguez MH, Dister SW, Rodriguez AD, Rejmankova E, Ulloa A, Zema RA, Roberts DR, Paris JF, Spanner MA: Assessment of a remote sensing-based model for predicting malaria transmission in villages of Chiapas, Mexico. Am J Trop Med Hyg. 1997, 56: 99-106.PubMed
25.
go back to reference Connor SJ, Thomson MC, Flasse S, Williams JB: The use of low-cost remote sensing and GIS for identifying and monitoring the environmental factors associated with vector-borne disease transmission. IRDC (International Development Research Centre). 1996 Connor SJ, Thomson MC, Flasse S, Williams JB: The use of low-cost remote sensing and GIS for identifying and monitoring the environmental factors associated with vector-borne disease transmission. IRDC (International Development Research Centre). 1996
26.
go back to reference Dhiman RC: Remote sensing: a visionary tool in malaria epidemiology. ICMR Bulletin (Indian Council of Medical Research). 2000 Dhiman RC: Remote sensing: a visionary tool in malaria epidemiology. ICMR Bulletin (Indian Council of Medical Research). 2000
27.
go back to reference Hay S, Randolph S, Rogers D: Remote sensing and geographical information systems in epidemiology. Academic Press, London. 2000 Hay S, Randolph S, Rogers D: Remote sensing and geographical information systems in epidemiology. Academic Press, London. 2000
28.
go back to reference Jeanne I: Malaria and schistosomiasis: two examples using systmes of geographical information and teledetection in Madagascar. Bull Soc Path Exot. 2000, 93: 208-214. Jeanne I: Malaria and schistosomiasis: two examples using systmes of geographical information and teledetection in Madagascar. Bull Soc Path Exot. 2000, 93: 208-214.
29.
go back to reference Nihei N, Hashida Y, Kobayashi M, Ishii A: Analysis of malaria endemic areas on the Indochina Peninsula using remote sensing. Jap J Infect Dis. 2002, 55: 160-66. Nihei N, Hashida Y, Kobayashi M, Ishii A: Analysis of malaria endemic areas on the Indochina Peninsula using remote sensing. Jap J Infect Dis. 2002, 55: 160-66.
30.
go back to reference Pope KO, Rejmankova E, Savage HM, Arrendondo-Himenez JI, Rodriquez MH, Roberts DR: Remote sensing of tropical wetlands for malaria control in Chiapas, Mexico. Ecol Appl. 1994, 4: 81-90.CrossRefPubMed Pope KO, Rejmankova E, Savage HM, Arrendondo-Himenez JI, Rodriquez MH, Roberts DR: Remote sensing of tropical wetlands for malaria control in Chiapas, Mexico. Ecol Appl. 1994, 4: 81-90.CrossRefPubMed
31.
32.
go back to reference Shuchman RA, Malinas NP, Edson R: The role of remote sensing and GIS for impact modeling and risk assessment of vector borne diseases. n.d., Altarum Institute: Ann Arbor, Michigan. 48105, US. 6 Shuchman RA, Malinas NP, Edson R: The role of remote sensing and GIS for impact modeling and risk assessment of vector borne diseases. n.d., Altarum Institute: Ann Arbor, Michigan. 48105, US. 6
33.
go back to reference Thomas C, Lindsay S: Local-scale variation in malaria infection amongst rural Gambian children estimated by satellite remote sensing. Trans R Soc Trop Med Hyg. 2000, 94: 159-163.CrossRefPubMed Thomas C, Lindsay S: Local-scale variation in malaria infection amongst rural Gambian children estimated by satellite remote sensing. Trans R Soc Trop Med Hyg. 2000, 94: 159-163.CrossRefPubMed
34.
go back to reference Thomson MC, Connor SJ, Milligan P, Flasse SP: The ecology of malaria – as seen from Earth-observation satellites. Ann Trop Med Parasitol. 1996, 90: 243-264.PubMed Thomson MC, Connor SJ, Milligan P, Flasse SP: The ecology of malaria – as seen from Earth-observation satellites. Ann Trop Med Parasitol. 1996, 90: 243-264.PubMed
35.
go back to reference Thomson MC, Connor SJ, Milligan P, Flasse SP: Mapping malaria risk in Africa: what can satellite data contribute. Parasitol Today. 1997, 13: 313-318. 10.1016/S0169-4758(97)01097-1.CrossRefPubMed Thomson MC, Connor SJ, Milligan P, Flasse SP: Mapping malaria risk in Africa: what can satellite data contribute. Parasitol Today. 1997, 13: 313-318. 10.1016/S0169-4758(97)01097-1.CrossRefPubMed
36.
go back to reference Hay SI, Omumbo JA, Craig MH, Snow RW: Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharian Africa. Adv Parasitol. 2000, 47: 173-215.PubMedCentralCrossRefPubMed Hay SI, Omumbo JA, Craig MH, Snow RW: Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharian Africa. Adv Parasitol. 2000, 47: 173-215.PubMedCentralCrossRefPubMed
37.
go back to reference Bergquist NR: Vector-borne parasitic diseases: new trends in data collection and risk assessment. Acta Trop. 2001, 79: 13-20. 10.1016/S0001-706X(01)00099-7.CrossRefPubMed Bergquist NR: Vector-borne parasitic diseases: new trends in data collection and risk assessment. Acta Trop. 2001, 79: 13-20. 10.1016/S0001-706X(01)00099-7.CrossRefPubMed
38.
go back to reference de Vries PM: A CAMERA focus on local eco-epidemiological malaria risk assessment. Universiteit Maastricht: Maastricht, Netherlands. 45. 2000 de Vries PM: A CAMERA focus on local eco-epidemiological malaria risk assessment. Universiteit Maastricht: Maastricht, Netherlands. 45. 2000
39.
go back to reference Oskam L: RISKMODEL: predicting the risks of mosquito-borne diseases from land use change. KIT Biomedical Research. Oskam L: RISKMODEL: predicting the risks of mosquito-borne diseases from land use change. KIT Biomedical Research.
40.
go back to reference Yang G, Zhou X, Malone JB, McCarroll JC, Wang T, Liu J, Gao Q, Zhang X, Hong Q, Sun L: GIS prediction model of malaria transmission in Jiangsu province. Zhonghua Yu Fang Yi Xue Za Zhi. 2002, 36: 103-5.PubMed Yang G, Zhou X, Malone JB, McCarroll JC, Wang T, Liu J, Gao Q, Zhang X, Hong Q, Sun L: GIS prediction model of malaria transmission in Jiangsu province. Zhonghua Yu Fang Yi Xue Za Zhi. 2002, 36: 103-5.PubMed
41.
go back to reference Snow RW, Craig MH, Deichmann U, Le Sueur D: A preliminary continental risk map for malaria motality among African children. Parasitol Today. 1999, 15: 99-104. 10.1016/S0169-4758(99)01395-2.CrossRefPubMed Snow RW, Craig MH, Deichmann U, Le Sueur D: A preliminary continental risk map for malaria motality among African children. Parasitol Today. 1999, 15: 99-104. 10.1016/S0169-4758(99)01395-2.CrossRefPubMed
42.
go back to reference Yapa L: Is GIS appropriate technology?. Int J Geogr Inf Syst. 1991, 5: 41-58.CrossRef Yapa L: Is GIS appropriate technology?. Int J Geogr Inf Syst. 1991, 5: 41-58.CrossRef
43.
go back to reference Tim US: The application of GIS in environmental health sciences: opportunities and limitations. Environmental Research. 1995, 71: 75-88. 10.1006/enrs.1995.1069.CrossRefPubMed Tim US: The application of GIS in environmental health sciences: opportunities and limitations. Environmental Research. 1995, 71: 75-88. 10.1006/enrs.1995.1069.CrossRefPubMed
44.
go back to reference Sweeney AW: The application of GIS in malaria control programs. in 10th Colloquium of the Spatial Information Research Centre. University of Otago, New Zealand. 1998 Sweeney AW: The application of GIS in malaria control programs. in 10th Colloquium of the Spatial Information Research Centre. University of Otago, New Zealand. 1998
45.
go back to reference NASA: Geographic information systems and the monitoring and prevention of malaria. National Aeronautics and Space Administration (NASA). NASA: Geographic information systems and the monitoring and prevention of malaria. National Aeronautics and Space Administration (NASA).
46.
go back to reference Molyneux DH: Vector-borne infections in the tropics and health policy issues in the twenty-first century. Trans R Soc Trop Med Hyg. 2001, 95: 233-238.CrossRefPubMed Molyneux DH: Vector-borne infections in the tropics and health policy issues in the twenty-first century. Trans R Soc Trop Med Hyg. 2001, 95: 233-238.CrossRefPubMed
47.
go back to reference Korte G: Weighing GIS benefits with financial analysis. Government Finance Review. 1996, 12: 48-52. Korte G: Weighing GIS benefits with financial analysis. Government Finance Review. 1996, 12: 48-52.
48.
go back to reference Hutchinson C, Todedano J: Guidelines for demonstrating geographical information systems based on participatory development. Int J Geogr Inf Syst. 1993, 7: 453-461.CrossRef Hutchinson C, Todedano J: Guidelines for demonstrating geographical information systems based on participatory development. Int J Geogr Inf Syst. 1993, 7: 453-461.CrossRef
49.
go back to reference Kitron U: Landscape ecology and epidemiology of vector-borne diseases: tools for spatial analysis. J Med Entomol. 1998, 35: 435-445.CrossRefPubMed Kitron U: Landscape ecology and epidemiology of vector-borne diseases: tools for spatial analysis. J Med Entomol. 1998, 35: 435-445.CrossRefPubMed
50.
go back to reference Hastings D, Clarke D: GIS in Africa: problems, challenges and opportunities for co-operation. Int J Geogr Inf Syst. 1991, 5: 29-39.CrossRef Hastings D, Clarke D: GIS in Africa: problems, challenges and opportunities for co-operation. Int J Geogr Inf Syst. 1991, 5: 29-39.CrossRef
51.
go back to reference Fox JM: Spatial information for resource management in Asia: a review of institutional issues. Int J Geogr Inf Syst. 1991, 5: 59-72.CrossRef Fox JM: Spatial information for resource management in Asia: a review of institutional issues. Int J Geogr Inf Syst. 1991, 5: 59-72.CrossRef
52.
go back to reference Edralin JS: International conference on geographic information systems applications for urban and regional planning. Int J Geogr Inf Syst. 1991, 5: 147-154.CrossRef Edralin JS: International conference on geographic information systems applications for urban and regional planning. Int J Geogr Inf Syst. 1991, 5: 147-154.CrossRef
53.
go back to reference Clarke KC, McLafferty SL, Tempalski B: On epidemiology and geographic information systems: a review and discussion of future directions. Emerg Infect Dis. 1996, 2: 85-92.PubMedCentralCrossRefPubMed Clarke KC, McLafferty SL, Tempalski B: On epidemiology and geographic information systems: a review and discussion of future directions. Emerg Infect Dis. 1996, 2: 85-92.PubMedCentralCrossRefPubMed
54.
go back to reference Yeh AG: The development and applications of geographic information systems for urban and regional planing in the developing countries. Int J Geogr Inf Syst. 1991, 5: 5-27.CrossRef Yeh AG: The development and applications of geographic information systems for urban and regional planing in the developing countries. Int J Geogr Inf Syst. 1991, 5: 5-27.CrossRef
55.
go back to reference Bretas G: Geographic information systems for the study and control of malaria. IDRC (International Development Research Centre). 1996 Bretas G: Geographic information systems for the study and control of malaria. IDRC (International Development Research Centre). 1996
56.
go back to reference Abeysekera T, Goonewardena DM, Jayasundera G, Muthusatte L, Kumar Kotta P, Senanayake T, Carter R, Mendis KN, Wickremasinghe AR: The use of GIS in research and control of malaria. GIS@Development. 1996 Abeysekera T, Goonewardena DM, Jayasundera G, Muthusatte L, Kumar Kotta P, Senanayake T, Carter R, Mendis KN, Wickremasinghe AR: The use of GIS in research and control of malaria. GIS@Development. 1996
57.
go back to reference Nobre FF, Braga AL, Pinheiro RS, dos Santos Lopes JA: GISEpi: a simple geographical information system to support public health surveillance and epidemiological investigations. Comput Methods Programs Biomed. 1997, 53: 33-45. 10.1016/S0169-2607(96)01799-3.CrossRefPubMed Nobre FF, Braga AL, Pinheiro RS, dos Santos Lopes JA: GISEpi: a simple geographical information system to support public health surveillance and epidemiological investigations. Comput Methods Programs Biomed. 1997, 53: 33-45. 10.1016/S0169-2607(96)01799-3.CrossRefPubMed
58.
go back to reference Oppong JR: Data Problem in GIS and Health. Paper presented at Health and Environment Workshop 4, Health Research Methods and Data Conference, 22–25 July. 1999, , Turku, Finland Oppong JR: Data Problem in GIS and Health. Paper presented at Health and Environment Workshop 4, Health Research Methods and Data Conference, 22–25 July. 1999, , Turku, Finland
Metadata
Title
Challenges in using geographic information systems (GIS) to understand and control malaria in Indonesia
Authors
Neil G Sipe
Pat Dale
Publication date
01-12-2003
Publisher
BioMed Central
Published in
Malaria Journal / Issue 1/2003
Electronic ISSN: 1475-2875
DOI
https://doi.org/10.1186/1475-2875-2-36

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