Determining Global Population Distribution: Methods, Applications and Data

Advances in Parasitology

Volumn 62, Issue , 2006, Pages 119-156

  Balk, D L ^a   Deichmann, U ^b   Yetman, G ^a   Pozzi, F ^a,c   Hay, S I ^d,e   Nelson, A ^f,g  

^a Center for International Forestry Research   (United States)

^b WORLD BANK   (United States)

^c UNIVERSITÀ CATTOLICA DEL SACRO CUORE   (Italy)

^d UNIVERSITY OF OXFORD   (United Kingdom)

^e KENYA MEDICAL RESEARCH INSTITUTE   (Kenya)

^f UNIVERSITY OF LEEDS   (United Kingdom)

^g JOINT RESEARCH CENTRE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ANALYSIS; EVALUATION; HUMAN; INFECTION; METHODOLOGY; POPULATION MODEL; POPULATION RESEARCH; PRIORITY JOURNAL; REVIEW;

COMMUNICABLE DISEASES; DEMOGRAPHY; HUMANS; RISK ASSESSMENT;

EID: 33646493506     PISSN: 0065308X     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0065-308X(05)62004-0     Document Type: Review

References (66)

1. Adams, J. (1968). A population map of West Africa. London: Graduate School of Geography, Discussion paper no. 26, London School of Economics.
2. Astrom K., Cohen J.E., Willett-Brozick J.E., Aston C.E., and Baysal B.E. Altitude is a phenotypic modifier in hereditary paraganglioma type 1: evidence for an oxygen-sensing defect. Human Genetics 113 (2003) 228-237
3. Balk D., Pullum T., Storeygard A., Greenwell F., and Neuman M. A spatial analysis of childhood mortality in West Africa. Population, Space and Place 10 (2004) 175-216
4. Balk, D., Pozzi, F., Yetman, G., Deichmann, U. and Nelson, A. (2005a). The distribution of people and the dimension of place: methodologies to improve the global estimation of urban extents. Proceedings of the Urban Remote Sensing Conference (of the International Society for the Photogrammetry and Remote Sensing), Tempe, Arizona: publisher? International Society for Photogrammetry and Remote Sensing.
5. Balk D., Levy M., Storeygard A., Gaskell J., Sharma M., and Flor R. Child hunger in the developing world: an analysis of environmental and social correlates. Food Policy 30 (2005) 584-611
6. Balk, D., Gorokhovich, Y. and Levy, M. (2005b). Estimation of Coastal Populations Exposed to the 26 December 2004 Tsunami. Palisades, New York: Center for International Earth Science Information Network (CIESIN), Columbia University. Available at: http://www.ciesin.columbia.edu/pdf/tsunami_pop_exposure1.pdf.
7. Balk, D. and Yetman, G. (2005). The global distribution of population: evaluating the gains in resolution refinement (February 2005, draft). Palisades, New York: Center for International Earth Science Information Network (CIESIN), Columbia University. Available at: http://beta.sedac.ciesin.columbia.edu/gpw/docs/gpw3_documentation_final. pdf.
8. Beasley M., Brooker S., Ndinaromtan M., Madjiouroum E.M., Baboguel M., Djenguinabe E., and Bundy D.A.P. First nationwide survey of the health of schoolchildren in Chad. Tropical Medicine and International Health 7 (2002) 625-630
9. Brooker S., Donnelly C.A., and Guyatt H.L. Estimating the number of helminthic infections in the Republic of Cameroon from data on infection prevalence in schoolchildren. Bulletin of the World Health Organization 78 (2000) 1456-1465
10. Brooker S., Hay S.I., Issae W., Hall A., Kihamia C.M., Lwambo N.J.S., Wint W., Rogers D.J., and Bundy D.A.P. Predicting the distribution of urinary schistosomiasis in Tanzania using satellite sensor data. Tropical Medicine and International Health 6 (2001) 998-1007
11. Brooker S., Miguel E.A., Waswa P., Namunyu R., Moulin S., Guyatt H., and Bundy D.A.P. The potential of rapid screening methods for Schistosoma mansoni in western Kenya. Annals of Tropical Medicine and Parasitology 95 (2001) 343-351
12. Brooker S., Beasley M., Ndinarotan M., Madjiouroum E.M., Baboguel M., Djenguinabe E., Hay S.I., and Bundy D.A.P. Use of remote sensing and a geographical information system in a national helminth control programme in Chad. Bulletin of the World Health Organization 80 (2002) 783-789
13. Brooker S., Pratap S., Waikagul J., Suvanee S., Kojima S., Takeuchi T., Luong T.V., and Looareesuwan S. Mapping soil-transmitted helminth infections in Southeast Asia and implications for parasite control. Southeast Asian Journal of Tropical Medicine and Public Health 34 (2003) 24-35
14. Center for International Earth Science Information Network (CIESIN), Columbia University; International Food Policy Research Institute (IFPRI) and World Resources Institute (WRI). (2000). Gridded Population of the World (GPW), Version 2. Palisades, New York: CIESIN, Columbia University. Available at: http://sedac.ciesin.columbia.edu/plue/gpw.
15. Center for International Earth Science Information Network (CIESIN), Columbia University and Centro Internacional de Agricultura Tropical (CIAT). (2004). Gridded Population of the World (GPW), Version 3 beta. Palisades, New York: CIESIN, Columbia University. Available at: http://sedac.ciesin.columbia.edu/gpw.
16. Clarke, J.I. and Rhind, D.W. (1992). Population Data and Global Environmental Change. Human Dimensions of Global Environmental Change Programme Report 3, New York: International Social Science Council.
17. Craig M.H., Snow R.W., and Le Sueur D. A climate-based distribution model of malaria transmission in sub-Saharan Africa. Parasitology Today 15 (1999) 105-111
18. Deichmann, U. and Eklundh, L. (1991). Global Digital Datasets for Land Degradation Studies: A GIS Approach. Nairobi, Kenya: United Nations Environment Programme, Global Resource Information Database, Case study no. 4.
19. Deichmann U. A Medium Resolution Population Database for Africa. Database Documentation and Digital Database (1994), National Center for Geographic Information and Analysis, University of California, Santa Barbara, California
20. Deichmann, U. (1996a). A Review of Spatial Population Database Design and Modeling. NCGIA, Technical report 93-3. Santa Barbara, California: National Centre for Geographic Information and Analysis, University of California. Available at: http://www.ncgia.ucsb.edu/Publications/Tech_Reports/96/96-3.PDF.
21. Deichmann, U. (1996b). African Population Database. Digital Database and Documentation. Santa Barbara, California: National Center for Geographic Information and Analysis, University of California.
22. Deichmann U. Accessibility Indicators in GIS (1997), United Nations Statistics Division, Department for Economic and Policy Analysis, New York
23. Deichmann, U., Balk, D. and Yetman, G. (2001). Transforming Population Data for Interdisciplinary Usages: From Census to Grid. Palisades, NY: CIESIN, Columbia University. Working paper available on-line at: http://sedac.ciesin.columbia.edu/plue/gpw/GPWdocumentation.pdf.
24. Dilley M.R.S., Chen B., Deichmann U., Lerner-Lam A., and Arnold M. Natural Disaster Hotspots: A Global Risk Analysis (2005), The World Bank, Hazard Management Unit, Washington, DC
25. Dobson J.E., Bright E.A., Coleman P.R., Durfee R.C., and Worley B.A. LandScan: a global population database for estimating populations at risk. Photogrammetric Engineering and Remote Sensing 66 (2000) 849-857
26. Elvidge C.D., Baugh K.E., Hobson V.R., Kihn E.A., Kroehl H.W., Davis E.R., and Cocero D. Satellite inventory of human settlements using nocturnal radiation emissions: a contribution for the global tool chest. Global Change Biology 3 (1997) 87-395
27. Elvidge C.D., Baugh K.E., Dietz J.B., Bland T., Sutton P.C., and Kroehl H.W. Radiance calibration of DMSP-OLS low-light imaging data of human settlements. Remote Sensing of Environment 68 (1999) 77-88
28. Elvidge, C.D., Safran, J., Nelson, I.L., Tuttle, B.T., Hobson, V.R., Baugh, K.E., Dietz, J.B. and Erwin, E.H. (2004). Area and position accuracy of DMSP nighttime lights data. In: Remote Sensing and GIS Accuracy Assessment (R.S. Lunetta and J.G. Lyon, eds). Chapter 20, pp. 281-292. Boca Raton, Florida: CRC Press.
29. Fitrani F., Hofman B., and Kaiser K. Unity in diversity? The creation of new local governments in a decentralising Indonesia. Bulletin of Indonesian Economic Studies 41 (2005) 57-79
30. Gallup J.L., and Sachs J.D. The economic burden of malaria. American Journal of Tropical Medicine and Hygiene 64 (2001) 85-96
31. Goodchild M.F., Anselin L., and Deichmann U. A framework for the areal interpolation of socioeconomic data. Environment and Planning A 25 (1993) 383-397
32. Hay S.I., Omumbo J.A., Craig M.H., and Snow R.W. Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharan Africa. Advances in Parasitology 47 (2000) 173-215
33. Hay S.I., Guerra C.A., Tatem A.J., Noor A.M., and Snow R.W. The global distribution and population at risk of malaria: past, present and future. Lancet Infectious Diseases 4 (2004) 327-336
34. Hay S.I., Guerra C.A., Tatem A.J., Atkinson P.M., and Snow R.W. Urbanization, malaria transmission and disease burden in Africa. Nature Reviews Microbiology 3 (2005) 81-90
35. Hay S.I., Noor A.M., Nelson A., and Tatem A.J. The accuracy of human population maps for public health application. Tropical Medicine and International Health 10 (2005) 1073-1086
36. Haynes K.E., and Fotheringham A.S. Gravity and Spatial Interaction Models (1984), Sage Publications, London
37. Kabatereine N.B., Brooker S., Tukahebwa E.M., Kazibwe F., and Onapa A. Epidemiology and geography of Schistosoma mansoni in Uganda: implications for planning control. Tropical Medicine and International Health 9 (2004) 372-380
38. Leddy, R. (1994). Small Area Populations for the United States. Paper presented at the Association of American Geographers Annual Meeting in San Francisco. Washington, DC: Geographic Studies Branch, International Programs Center, US Bureau of the Census.
39. Lindsay S.W., and Thomas C.J. Mapping and estimating the population at risk from lymphatic filariasis in Africa. Transactions of the Royal Society of Tropical Medicine and Hygiene 94 (2000) 37-45
40. Martin D., and Bracken I. Techniques for modelling population-related raster databases. Environment and Planning A 23 (1991) 1069-1075
41. Michelin Travel Publications. (2004). Northwest Africa; Africa Northeast & Arabia; Central & Southern Africa, Madagascar; 1:4 million scale map sheets 741, 745 and 746. France: Michelin Maps & Atlases.
42. Nelson, A. and Deichmann, U. (2004) The African Population Database, Version 4. New York: United Nations Environment Program (UNEP) and the Center for International Earth Science Information Network (CIESIN), Columbia University. Available at: http://www.na.unep.net/datasets/datalist.php3.
43. National Imagery and Mapping Agency (NIMA). (1997). Vector Map Level 0 Digital Chart of the World 3rd Edition. Fairfax, Virgina: NIMA. Available at: http://www.mapability.com/info/vmap0_index.html.
44. Noma M., Nwoke B.E.B., Nutall I., Tambala P.A., Enyong P., Namsenmo A., Remme J., Amazigo U.V., Kale O.O., and Seketeli A. Rapid epidemiological mapping of onchocerciasis (REMO): its application by the African programme for onchocerciasis control (APOC). Annals of Tropical Medicine and Parasitology 96 (2002) 29-39
45. Oak Ridge National Laboratory (ORNL). (2003). LandScan Global Population Database. Oak Ridge, Tenesse: Oak Ridge National Laboratory. Available at: http://www.ornl.gov/gist/.
46. Openshaw S. A view on the GIS crisis in geography or using GIS to put Humpty-Dumpty back together again. Environment and Planning A 23 (1991) 621-628
47. Patel, N., Jones, K., Levy, M., Balk, D. and Daszak, P. (2006). Global trends in zoonotic disease emergence. In: Wildlife Wealth, and Health: Tropical Forest Disturbance and Viral Disease Emergence (R. Hardin, ed.). Cambridge, MA: Harvard University Press.
48. Pozzi F., Small C., and Yetman G. Modeling the distribution of human population with nighttime satellite imagery and gridded population of the world. Earth Observation Magazine 12 (2003) 1
49. Reid R.S., Kruska R.L., Deichmann U., Thornton P.K., and Leak S.G.A. Human population growth and the extinction of the tsetse fly. Agriculture, Ecosystems and Environment 77 (2000) 227-236
50. Rogers D.J., and Randolph S.E. The global spread of malaria in a future, warmer world. Science 289 (2000) 1763-1766
51. Sachs J.D., Mellinger A.D., and Gallup J.L. The geography of poverty and wealth. Scientific American 284 (2001) 70
52. Schneider A., Friedl M.A., McIver D.K., and Woodcock C.E. Mapping urban areas by fusing multiple sources of coarse resolution remotely sensed data. Photogrammetric Engineering and Remote Sensing 69 (2003) 1377-1386
53. Small C., and Cohen J.E. Continental physiography, climate, and the global distribution of human population. Current Anthropology 45 (2004) 269-277
54. Small C., Pozzi F., and Elvidge C.D. Spatial analysis of global urban extents from the DMSP-OLS night lights. Remote Sensing of Environment 96 (2005) 277-291
55. Snow R.W., Craig M.H., Deichmann U., and Le Sueur D. A preliminary continental risk map for malaria mortality among African children. Parasitology Today 15 (1999) 99-104
56. Snow R.W., Craig M., Deichmann U., and Marsh K. Estimating mortality, morbidity and disability due to malaria among Africa's non-pregnant population. Bulletin of the World Health Organization 77 (1999) 624-640
57. Snow, R.W., Craig, M.H., Newton, C.R.J.C. and Steketee, R.W. (2003). The public health burden of Plasmodium falciparum malaria in Africa: deriving the numbers. Working paper no. 11, Bethesda, Maryland: Disease Control Priorities Project, Fogarty International Center, National Institutes of Health.
58. Snow R.W., Guerra C.A., Noor A.M., Myint H.Y., and Hay S.I. The global distribution of clinical episodes of Plasmodium falciparum malaria. Nature 434 (2005) 214-217
59. Sutton P.D., Roberts C., Elvidge, and Baugh K. Census from heaven: an estimate of the global human population using night-time satellite imagery. International Journal of Remote Sensing 22 (2001) 3061-3076
60. Tatem A.J., Noor A.M., and Hay S.I. Assessing the accuracy of satellite derived global and national urban maps in Kenya. Remote Sensing of Environment 96 (2005) 87-97
61. Tobler W.R. Smooth pycnophylactic interpolation of geographical regions. Journal of the American Statistical Association 74 (1979) 519-530
62. Tobler, W., Deichmann, U., Gottsgen, J. and Maloy, K. (1995). The global demography project. Technical Report TR-6-95. Santa Barbara, California: National Center for Geographic Information and Analysis (NCGIA), University of California.
63. Tobler W., Deichmann U., Gottsegen J., and Maloy K. World population in a grid of spherical quadrilaterals. International Journal of Population Geography 3 (1997) 203-225
64. Tufte, E.R. (1990). Envisioning Information, pp. 40-41. Cheshire, Connecticut: Graphics Press.
65. United Nations. (2001). World Urbanization Prospects, 1999 Revision. New York: United Nations Population Division, Department of Economic and Social Affairs.
66. van Leishout M., Kovats R.S., Livermore M.T.J., and Martens P. Climate change and malaria: analysis of the SRES climate and socio-economic scenarios. Global Environmental Change 14 (2004) 87-99