A discrete time-space geography for epidemiology: From mixing groups to pockets of local order in pandemic simulations

Studies in Health Technology and Informatics

Volumn 129, Issue , 2007, Pages 464-468

  Holm, Einar ^a   Timpka, Toomas ^b  

^a UMEÅ UNIVERSITY   (Sweden)

^b LINKÖPING UNIVERSITY   (Sweden)

Author keywords

epidemiological modeling; health informatics; methodology; simulations; social geography

Indexed keywords

EPIDEMIOLOGY; MIXING;

EPIDEMIOLOGICAL MODELING; HEALTH INFORMATICS; METHODOLOGY; SIMULATIONS; SOCIAL GEOGRAPHY;

DISEASES;

ARTICLE; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPUTER SIMULATION; DISEASE TRANSMISSION; EPIDEMIC; EPIDEMIOLOGY; GEOGRAPHY; HUMAN; INFLUENZA; PUBLIC HEALTH; SOCIAL BEHAVIOR; SOCIAL SUPPORT;

COMPUTER SIMULATION; DISEASE OUTBREAKS; EPIDEMIOLOGIC METHODS; GEOGRAPHY; HUMANS; INFLUENZA, HUMAN; MODELS, BIOLOGICAL; PUBLIC HEALTH; SOCIAL BEHAVIOR; SOCIAL SUPPORT; SPACE-TIME CLUSTERING;

EID: 38449107827     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (16)

1. World Health Organization (WHO). Responding to the avian influenza threat. Geneva: World Health Organization, 2005. Available at http://who. int. org/csr/resources/ publications/influenza (accessed March 15th 2007).
2. Eubank S, Guclu H, Kumar VS, Marathe MV, Srinivasan A, Toroczkai Z, and Wang N. Modelling disease outbreaks in realistic urban social networks. Nature 2004 May 13;429(6988):180-4.
3. Browers L. MicroPox: a Large-scale and spatially explicit microsimulation model for smallpox transmission. http:// www. sgem. se/about-sgem/researchers/ associated-members. html
4. Burke DS, Epstein JM, Cummings DA, Parker JI, Cline KC, Singa RM, and Chakravarty S. Individual-based computational modeling of smallpox epidemic control strategies. Acad Emerg Med. 2006 Nov;13(11):1142-9.
5. Longini IM Jr, Halloran ME, Nizam A, and Yang Y. Containing pandemic influenza with antiviral agents. Am J Epidemiol. 2004 Apr 1;159(7):623-33.
6. Germann TC, Kadau K, Longini IM Jr, and Macken CA. Mitigation strategies for pandemic influenza in the United States. Proc Natl Acad Sci U S A. 2006 Apr 11;103(15):5935-40. Epub 2006 Apr 3.
7. Holm E, and Oberg S. Contagious social practice? Geografiska Annaler 2004;86B:297-314.
8. Ellegard K, and Vilhelmson B. Home as a pocket of local order: Everyday activities and the friction of distance. Geografiska Annaler 2004;86 B(4):281-296.
9. Hägerstrand T. Time-geography: focus on the corporeality of men, society and environment. In The Science and Praxis of Complexity. New York: United Nations University, 1985.
10. Timpka T, Morin M, Jenvald J, Eriksson H, and Gursky E. Towards a simulation environment for modeling of local influenza outbreaks. AMIA Annu Symp Proc. 2005; 729-33.
11. Timpka T, Morin M, Jenvald J, Gursky E, and Eriksson H. Dealing with ecological fallacy in preparations for influenza pandemics: Use of a flexible environment for adaptation of simulations to household structures in local contexts. Medinfo 2007;
12. Eriksson H, Morin M, Jenvald J, Gursky E, Holm E, and Timpka T. Ontology-based modeling of pandemic simulation scenarios. MedInfo 2007;.
13. Halloran M., Longini IM, Cowart DM, and Nizam A. Community trials of vaccination and the epidemic prevention potential. Vaccine 2002;20:3254-3262.
14. Boman M, and Holm E. Multi-agent systems, time geography, and microsimulations. In Olsson MO, Sjöstedt G (Eds. ). Systems approaches and their application: Examples from Sweden. Dordrecht: Kluwer Academic Publishers, 2004, 95-118.
15. Holm E, Holme K, Mäkilä K, Mattsson-Kaupi M, and Mörtvik G. The SVERIGE spatial microsimulation model-Content, validation, and example applications. Gerum Kulturgeografi 2002:4. Umea: Umea Universitet, 2002.
16. Keeling MJ, and Eames KT. Networks and epidemic models. J R Soc Interface. 2005 Sep 22;2(4):295-307.