Mapping population and pathogen movements

International Health

Volumn 6, Issue 1, 2014, Pages 5-11

  Tatem, Andrew J ^a,b  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Disease; Migration; Mobility; Modelling; Travel

Indexed keywords

AFRICA; AIRCRAFT; ARTICLE; AVIATION; COMMUNICABLE DISEASE; DEVELOPING COUNTRY; DISEASE TRANSMISSION; GLOBAL POSITIONING SYSTEM; HUMAN; INFLUENZA; LOWEST INCOME GROUP; MALARIA FALCIPARUM; MOBILE PHONE; POPULATION DISTRIBUTION; POPULATION MIGRATION; POPULATION MOVEMENT PATTERN; POPULATION RESEARCH; PRIORITY JOURNAL; SEASONAL POPULATION DYNAMICS; SENSOR; SEVERE ACUTE RESPIRATORY SYNDROME; SHIPPING; SMALLPOX; SOCIAL MEDIA; VIRUS TRANSMISSION;

DISEASE; MIGRATION; MOBILITY; MODELLING; TRAVEL;

ANIMALS; DATABASES, FACTUAL; DEVELOPING COUNTRIES; DISEASE VECTORS; HUMANS; POPULATION; TRAVEL;

EID: 84896861219     PISSN: 18763413     EISSN: 18763405     Source Type: Journal    
DOI: 10.1093/inthealth/ihu006     Document Type: Article

References (71)

1. Prothero RM. Disease mobility: a neglected factor in epidemiology. Int J Epidemiol 1977;6:259-67.
2. Stoddard ST, Morrison AC, Vazquez-Prokopec GM et al. The role of human movement in the transmission of vector-borne pathogens. PLoS Negl Trop Dis 2009;3:e481.
3. Coulibaly S, Deichmann U, Emilia FM et al. World Development Report 2009: reshaping economic geography. Washington DC: World Bank; 2009.
4. Prothero RM. Population movements and problems of malaria eradication in Africa. Bull World Health Organ 1961;24:405-25.
5. Prothero RM. Migrants and Malaria. London: Longmans, Green & Co. Ltd.; 1965.
6. Massey A. Epidemiology in Relation to Air Travel. London: H. K. Lewis and Co. Limited; 1933.
7. Griffitts THD. Air traffic in relation to public health. Am J Trop Med 1933;13:283-90.
8. Pindolia DK, Garcia AJ, Wesolowski A et al. Human movement data for malaria control and elimination strategic planning. Malar J 2012;11:205.
9. Kaluza P, Kolzsch A, Gastner MT, Blasius B. The complex network of global cargo ship movements. J R Soc Interface 2010;7:1093-103.
10. Tatem AJ, Rogers DJ, Hay SI. Global transport networks and infectious disease spread. Adv Parasitol 2006;62:293-343.
11. Guimera R, Mossa S, Turtschi A, Amaral LAN. The worldwide air transportation network: anomalous centrality, community structure, and cities' global roles. Proc Natl Acad Sci U S A 2005;102:7794-9.
12. Tatem AJ, Huang Z, Das A et al. Air travel and vector-borne disease movement. Parasitology 2012;139:1816-30.
13. Huang ZJ, Wu X, Garcia AJ et al. An Open-access modeled passenger flow matrix for the global air network in 2010. Plos One 2013;8(5)e64317.
14. Johansson MA, Arana-Vizcarrondo N, Biggerstaff BJ et al. Assessing the risk of international spread of yellow fever virus: a mathematical analysis of an urban outbreak in Asuncion. 2008. Am J Trop Med Hyg 2012;86:349-58.
15. Bell M, Muhidin S. Cross-national comparions of internal migration. Human Development Research Paper, 2009/30. New York: United Nations Development Programme; 2009.
16. Garcia AJ, Pindolia DK, Lopiano KK, Tatem AJ. Modeling internal migration flows in sub-Saharan Africa using census microdata. Migrat Stud 2014 [Forthcoming].
17. Nair PS, Masukusuku TM. Structural patterns of internal migration flows in Botswana: log-linear modeling approach. Afr Popul Stud 2012;26:238-55.
18. Tatem AJ, Adamo S, Bharti N et al. Mapping populations at risk: improving spatial demographic data for infectious disease modeling and metric derivation. Popul Health Metr 2012;10:8.
19. Wesolowski A, Buckee CO, Pindolia DK et al. The use of census migration data to approximate human movement patterns across temporal scales. PLoS One 2013;8(1):e52971.
20. IFRC.World Disasters Report 2013. Geneva: International Federation of Red Cross and Red Crescent Societies; 2014.
21. Sutton P, Roberts D, Elvidge C, Baugh K. Census from heaven: an estimate of the global human population using night-time satellite imagery. Int J Remote Sens 2001;22:3061-76.
22. Bharti N, Tatem AJ, Ferrari MJ et al. Explaining seasonal fluctuations of measles in Niger using nighttime lights imagery. Science 2011; 334:1424-7.
23. Gonzalez MC, Hidalgo CA, Barabasi AL. Understanding individual human mobility patterns. Nature 2008;453:779-82.
24. International Telecommunication Union. TheWorld in 2013: ICT Facts and Figures. Geneva: International Telecommunication Union; 2013.
25. Song C, Qu Z, Blumm N, Barabasi AL. Limits of predictability in human mobility. Science 2010;327:1018-21.
26. Lu X, Bengtsson L, Holme P. Predictability of population displacement after the 2010 Haiti earthquake. Proc Natl Acad Sci U S A 2012;109: 11576-81.
27. Lu X, Wetter E, Bharti N et al. Approaching the limit of predictability in human mobility. Sci Rep 2013;3:2923.
28. Bengtsson L, Lu X, Thorson A et al. Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: a post-earthquake geospatial study in Haiti. PLoS Med 2011 Aug;8(8):e1001083.
29. Gething PW, Tatem AJ. Can mobile phone data improve emergency response to natural disasters? PLoS Med 2011 Aug;8(8):e1001085.
30. Moumni B, Frias-Martinez V, Frias-Martinez E. Characterizing Social Response to Urban Earthquakes using Cell-Phone Network Data: The 2012 Oaxaca Earthquake. UbiComp '13. Proceedings of the 2013 ACM conference on Pervasive and Ubiquitous Computing; 8-12 September 2013; Zurich, Switzerland; p. 1199-208.
31. Leetaru KH, Wang SY, Cao G et al. Mapping the global Twitter heartbeat: the geography of Twitter. Chicago: First Monday; 2013.
32. Ashbrook D, Starner T. Using GPS to learn significant locations and predict movement across multiple users. Pers Ubiquit Comput 2003;7:275-86.
33. Vazquez-Prokopec GM, Bisanzio D, Stoddard ST et al. Using GPS technology to quantify human mobility, dynamic contacts and infectious disease dynamics in a resource-poor urban environment. PLoS One. 2013;8(4):e58802.
34. Wiehe SE, Carroll AE, Liu GC et al. Using GPS-enabled cell phones to track the travel patterns of adolescents. Int J Health Geogr 2008;7:22.
35. Wheeler BW, Cooper AR, Page AS, Jago R. Greenspace and children's physical activity: a GPS/GIS analysis of the PEACH project. Prev Med 2010;51:148-52.
36. Pan G, Qi G, Zhang W, et al. Trace analysis and mining for smart cities: Issues, methods and applications. IEEE Commun 2013;51:120-6.
37. Haggett P. The Geographical Structure of Epidemics. Oxford: Clarendon; 2000.
38. Thomas R. Geomedical Systems: Intervention and Control. London: Routledge; 1992.
39. Lemey P, Rambaut A, Drummond AJ, Suchard MA. Bayesian phylogeography finds its roots. PLoS Comput Biol 2009;5(9):e1000520.
40. Balcan D, Colizza V, Goncalves B et al. Multiscale mobility networks and the spatial spreading of infectious diseases. Proc Natl Acad Sci 2009;106:21484-9.
41. Colizza V, Barrat A, Barthelemy M, Vespignani A. The role of the airline transportation network in the prediction and predictability of global epidemics. Proc Natl Acad Sci 2006;103:2015-20.
42. Dye C, Gay N. Modeling the SARS epidemic. Science. 2003;300:1884-5.
43. Grais RF, Ellis JH, Glass GE. Assessing the impact of airline travel on the geographic spread of pandemic influenza. Eur J Epidemiol 2003;18: 1065-72.
44. Grais RF, Ellis JH, Glass GE. Forecasting the geographical spread of smallpox cases by air travel. Epidemiol Infect 2003;131:849-57.
45. Hufnagel L, Brockmann D, Geisel T. Forecast and control of epidemics in a globalized world. Proc Natl Acad Sci 2004;101:15124-9.
46. Viboud C, Bjornstad ON, Smith DL et al. Synchrony, waves, and spatial hierarchies in the spread of influenza. Science 2006;312:447-51.
47. Salathe M, Kazandjieva M, Lee JW et al. A high-resolution human contact network for infectious disease transmission. Proc Natl Acad Sci U S A. 2010;107:22020-5.
48. Merler S, Ajelli M. The role of population heterogeneity and human mobility in the spread of pandemic influenza. Proc Biol Sci 2010;277: 557-65.
49. Gething PW, Patil AP, Smith DL et al. A new world malaria map: Plasmodium falciparum endemicity in 2010. Malar J 2011;10:378.
50. Brownstein JS, Freifeld CC, Reis BY, Mandl KD. Surveillance sans frontieres: internet-based emerging infectious disease intelligence and the HealthMap project. PLoS Med 2008 Jul 8;5(7):e151.
51. Sinka ME, Bangs MJ, Manguin S et al. The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic precis. Parasit Vectors 2011;4:89.
52. Foley DH, Wilkerson RC, Birney I et al. MosquitoMap and the Mal-area calculator: new web tools to relate mosquito species distribution with vector borne disease. Int J Health Geogr 2010;9:11.
53. Linard C, Tatem AJ. Large-scale spatial population databases in infectious disease research. Int J Health Geogr 2012;11:7.
54. Balk DL, Deichmann U, Yetman G et al. Determining global population distribution: methods, applications and data. Adv Parasitol 2006;62: 119-56.
55. Allicock OM, Lemey P, Tatem AJ et al. Phylogeography and population dynamics of dengue viruses in the Americas. Mol Biol Evol 2012; 29:1533-43.
56. Gardner LM, Fajardo D, Waller ST et al. A predictive spatial model to quantify the risk of air-travel-associated dengue importation into the United States and Europe. J Trop Med 2012;2012:103679.
57. Huang Z, Das A, Qiu Y, Tatem AJ. Web-based GIS: the vector-borne disease airline importation risk (VBD-AIR) tool. Int J Health Geogr 2012;11:33.
58. Tatem AJ, Hay SI, Rogers DJ. Global traffic and disease vector dispersal. Proc Natl Acad Sci 2006;103:6242-7.
59. Huang Z, Tatem AJ. Global malaria connectivity through air travel. Malar J 2013;12:269.
60. Le Menach A, Tatem AJ, Cohen JM et al. Travel risk, malaria importation and malaria transmission in Zanzibar. Sci Rep 2011;1:93.
61. Tatem AJ, Qiu Y, Smith DL et al. The use of mobile phone data for the estimation of the travel patterns and imported Plasmodium falciparum rates among Zanzibar residents. Malar J 2009;8:287.
62. Wesolowski A, Eagle N, Tatem AJ et al. Quantifying the impact of human mobility on malaria. Science 2012;338:267-70.
63. Salathe M, Bengtsson L, Bodnar TJ et al. Digital epidemiology. PLoS Comput Biol 2012;8(7):e1002616.
64. Wesolowski A, Eagle N, Noor AM et al. The impact of biases in mobile phone ownership on estimates of human mobility. J R Soc Interface 2013;10:20120986.
65. Sturrock HJ, Hsiang MS, Cohen JM et al. Targeting asymptomatic malaria infections: active surveillance in control and elimination. PLoS Med 2013;10(6):e1001467.
66. Stoddard ST, Forshey BM, Morrison AC et al. House-to-house human movement drives dengue virus transmission. Proc Natl Acad Sci U S A. 2013;110:994-9.
67. Simini F, Gonzalez MC, Maritan A, Barabasi AL. A universal model for mobility and migration patterns. Nature 2012;484:96-100.
68. Simini F, Maritan A, Neda Z. Human mobility in a continuum approach. PLoS ONE. 2013;8(3):e60069.
69. Schneider CM, Belik V, Couronne T et al. Unravelling daily human mobility motifs. J R Soc Interface 2013;10:20130246.
70. Hagerstraand T. What about people in regional science? Pap Reg Sci 1970;24:7-21.
71. Langran G. A review of temporal database research and its use in GIS applications. Int J Geogr Inf Sci 1989;3:215-32.