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Volumn E87-A, Issue 9, 2004, Pages 2379-2386

Plausible models for propagation of the SARS virus

Author keywords

Epidemic models; SARS; Small world networks; Surrogates

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; DISEASES; EPIDEMIOLOGY; GRAPH THEORY; HEALTH;

EID: 5444225462     PISSN: 09168508     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (34)

References (15)
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  • 2
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    • Varions Authors South China Morning Post, Virtually every day since Feb. 2003
    • Varions Authors South China Morning Post, Virtually every day since Feb. 2003.
  • 3
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    • Report of the severe acute respiratory syndrome expert committee
    • Hong Kong Department of Health, Oct.
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    • (2003) Tech. Rep.
  • 4
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    • Testing for nonlinearity in time series: The method of surrogate data
    • J. Theiler, S. Eubank, A. Longtin, B. Galdrikian, and J.D. Farmer, ''Testing for nonlinearity in time series: The method of surrogate data," Physica D, vol.58, pp.77-94, 1992.
    • (1992) Physica D , vol.58 , pp. 77-94
    • Theiler, J.1    Eubank, S.2    Longtin, A.3    Galdrikian, B.4    Farmer, J.D.5
  • 5
    • 0038236516 scopus 로고    scopus 로고
    • Detecting determinism in time series: The method of surrogate data
    • M. Small and C. Tse, "Detecting determinism in time series: The method of surrogate data," IEEE Trans. Circuits Syst I, Fundam. Theory Appl., vol.50, no.5, pp.663-672, 2003.
    • (2003) IEEE Trans. Circuits Syst I, Fundam. Theory Appl. , vol.50 , Issue.5 , pp. 663-672
    • Small, M.1    Tse, C.2
  • 7
    • 0000036955 scopus 로고    scopus 로고
    • Correlation dimension: A pivotal statistic for non-constrained realizations of composite hypotheses in surrogate data analysis
    • M. Small and K. Judd, "Correlation dimension: A pivotal statistic for non-constrained realizations of composite hypotheses in surrogate data analysis," Physica D, vol.120, pp.386-400, 1998.
    • (1998) Physica D , vol.120 , pp. 386-400
    • Small, M.1    Judd, K.2
  • 8
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    • Detecting nonlineatities in stationary time series
    • F. Takens, "Detecting nonlineatities in stationary time series," International Journal of Bifurcation and Chaos, vol.3, pp.241-256, 1993.
    • (1993) International Journal of Bifurcation and Chaos , vol.3 , pp. 241-256
    • Takens, F.1
  • 9
    • 0035968844 scopus 로고    scopus 로고
    • A surrogate test for pseudoperiodic time series data
    • M. Small, D. Yu, and R.G. Harrison, "A surrogate test for pseudoperiodic time series data," Phys. Rev. Lett., vol.87, p.188101, 2001.
    • (2001) Phys. Rev. Lett. , vol.87 , pp. 188101
    • Small, M.1    Yu, D.2    Harrison, R.G.3
  • 12
    • 22244449004 scopus 로고    scopus 로고
    • Constrained-realization Monte-Carlo method for hypothesis testing
    • J. Theiler and D. Prichard, "Constrained-realization Monte-Carlo method for hypothesis testing," Physica D, vol.94, pp.221-235, 1996.
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    • Theiler, J.1    Prichard, D.2
  • 13
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    • Collective dynamics of 'small-world' networks
    • D. Watts and S. Strogatz, "Collective dynamics of 'small-world' networks," Nature, vol.393, pp.440-442, 1998.
    • (1998) Nature , vol.393 , pp. 440-442
    • Watts, D.1    Strogatz, S.2
  • 15
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    • Applying network theory to epidemics: Control measures for mycoplasma pneumoniae outbreaks
    • L. Meyers, M. Newmann, M. Martin, and S. Schragg, "Applying network theory to epidemics: Control measures for mycoplasma pneumoniae outbreaks," Emerging Infectious Diseases, vol.9, 2003.
    • (2003) Emerging Infectious Diseases , vol.9
    • Meyers, L.1    Newmann, M.2    Martin, M.3    Schragg, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.