Skip to main content

Advertisement

Log in

Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001

  • Original Paper
  • Published:
Stochastic Environmental Research and Risk Assessment Aims and scope Submit manuscript

Abstract

Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1997–2001. BME risk analysis is of considerable value, since influenza is the largest contributing factor to wintertime mortality increases in the US. By incorporating age-adjusted mortality data collected at the county level, informative influenza mortality maps were generated and composite space-time influenza dependences were assessed quantitatively. On the basis this analysis, essential risk patterns and correlations were detected across the state during wintertime. It was found that significantly high risks initially occurred during December in the west-central part of the state; in the following two weeks the risk distribution extended in the south and east-central parts of the state; in late February significant influenza mortalities were detected mainly in the west-central part of the state. These findings, combined with the results of earlier works, can lead to useful conclusions regarding influenza risk assessment in a space-time context and, also, point toward promising future research directions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Anderson RM, May RM (1991) Infectious disease of humans: dynamics and control. Oxford University Press, Oxford

  • Besag J, Newell J (1991) The detection of clusters in rare diseases. J R Stat Soc Ser A 154:143–155

    Article  Google Scholar 

  • Bogaert P (1996) Comparison of kriging techniques in a space-time context. Math Geol 28(1):73–86

    Article  Google Scholar 

  • Choi KM, Christakos G, Wilson ML (2006) El Niño effects on influenza mortality risks in the State of California. J Public Health 120:505–516

    Article  Google Scholar 

  • Chowell G, Ammonb CE, Hengartnera NW, Hymana JM (2006) Transmission dynamics of the great influenza pandemic of 1918 in Geneva, Switzerland: assessing the effects of hypothetical interventions. J Theoret Biol 241(2):193–204

    Article  CAS  Google Scholar 

  • Christakos G (1990) Random field modelling and its applications in stochastic data processing. Applied Sciences, PhD Thesis Harvard University, Cambridge, MA

  • Christakos G (1991) On certain classes of spatiotemporal random fields with application to space-time data processing. IEEE Syst Man Cybern 21(4):861–875

    Article  Google Scholar 

  • Christakos G (1992) Random field models in earth sciences. Academic, San Diego, CA (Out of Print.) New edition, Dover, Mineola, NY, 2005

  • Christakos G, Bogaert P (1996) Spatiotemporal analysis of springwater ion processes derived from measurements at the Dyle Basin in Belgium. IEEE Trans Geosci Remote Sens 34(3):626–642

    Article  Google Scholar 

  • Christakos G (1998) Spatiotemporal information systems in soil and environmental sciences. Geoderma 85(2–3):141–179

    Article  Google Scholar 

  • Christakos G (2000) Modern spatiotemporal geostatistics. Oxford University Press, New York

    Google Scholar 

  • Christakos G, Serre ML (2000) A spatiotemporal study of exposure-health effect associations. J Expos Anal Environ Epidemiol 10(2):168–187

    Article  CAS  Google Scholar 

  • Christakos G, Bogaert P, Serre ML (2002) Temporal GIS with CD-ROM. Springer, New York

    Google Scholar 

  • Christakos G, Hristopulos DT (1998) Spatiotemporal environmental health modelling: a tractatus stochasticus. Kluwer, Boston

    Google Scholar 

  • Christakos G, Olea RA, ML Serre, HL Yu, Wang L (2005) Interdisciplinary public health reasoning and epidemic modelling: the case of black death. Springer, New York

    Google Scholar 

  • Cliff AD (1995) Incorporating spatial components into models of epidemic models. In: Mollison D, Moffatt HK (eds) Epidemic models: their structure and relation to data. Cambridge Univ Press, Cambridge, pp 119–149

    Google Scholar 

  • Cliff AD, Haggett P (1988) Atlas of disease distributions: analytic approaches to epidemiological data. Blackwell, Oxford

    Google Scholar 

  • Cliff AD, Haggett P, Ord JK (1986) Spatial aspects of influenza epidemics. Pion, London

    Google Scholar 

  • Cressie N, Huang HC (1999) Classes of nonseparable, spatio-temporal stationary covariance functions. J Am Stat Assoc 94:1330–1340

    Article  Google Scholar 

  • Cuzick J, Edwards R (1990) Spatial clustering for inhomogeneous populations. J R Stat Soc Ser B 52:73–104

    Google Scholar 

  • Death Statistical Master Files (DSMF) (1997–2001) Center for Health Statistics, Sacramento, CA

  • Earn, DJD, Dushoff J, Levin SA (2002) Ecology and evolution of the flu. TRENDS Ecol Evol 17(7):334–340

    Article  Google Scholar 

  • Ferguson MP, Neil A, Galvani R, Bush M (2003) Ecological and immunological determinants of influenza evolution. Nature 422:428–433

    Article  CAS  Google Scholar 

  • Golledge RG (2002) The nature of geographical knowledge. Ann Assoc Am Geogr 92(1):1–14

    Article  Google Scholar 

  • Goodall C, Mardia KV (1994) Challenges in multivariate spatio-temporal modeling. In: Proceedings of the XVIIth international biometric confererence, Hamilton, 8–12 August 1994, pp 1–17

  • Haas TC (1995) Local prediction of spatio-temporal process with an application to wet sulfate deposition. J Am Stat Assoc 90:1189–1199

    Article  Google Scholar 

  • Haggett P (2000) The geographical structure of epidemics. Clarendon Press, Oxford

    Google Scholar 

  • Harper SA, Fukuda K, Uyeki TM, Cox NJ, Bridges CB (2004) Prevention and control of influenza recommendations of the advisory committee on immunization practices. Morbidity and Mortality Weekly Report 53:1–40

    Google Scholar 

  • Kyriakidis PC, Journel AG (1999) Geostatistical space-time models: a review. Math Geol 31(6):651–684

    Article  Google Scholar 

  • Lui KJ, Kendal AP (1987)119–149 Impact of influenza epidemics on mortality in the United States. Am J Public Health 77:712–716

    Article  CAS  Google Scholar 

  • May RM, Anderson RM (1984) Spatial heterogeneity and the design of immunization programs. Math Biosci 72:83–111

    Article  Google Scholar 

  • Openshaw S, Charlton M (1987) A mark 1 Geographical analysis machine for the automated analysis of point data sets. Int J Geogr Inform Syst 1:335–358

    Article  Google Scholar 

  • Openshaw S, Craft AW, Charlton M, Birch JM (1988) Investigation of leukaemia clusters by use of geographical analysis machine. The Lancet 272–273

  • Viboud C, Boelle P-Y, Carrat F, Valleron A-J, Flahault A (2003) Prediction of the spread of influenza epidemics by the method of analogues. Am J Epidemiol 158: 996–1006

    Article  Google Scholar 

Download references

Acknowledgments

We would like to thank Dr. RA Olea of USGS for his valuable suggestions. This research was supported by grants from the Oak Ridge National Lab (OR7865-001.01), the Fred J. Hansen Institute, SDSU Foundation, California (54266A P3590), the Office of the Vice President for Research at the University of Michigan and the National Oceanographic and Atmospheric Administration (NA16GP23361).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hwa-Lung Yu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Choi, KM., Yu, HL. & Wilson, M.L. Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001. Stoch Environ Res Risk Assess 22 (Suppl 1), 15–25 (2008). https://doi.org/10.1007/s00477-007-0168-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00477-007-0168-4

Keywords

Navigation