Biology Reference
In-Depth Information
Farrington, C. P, N. J. Andrews, A. D. Beale, and M. A. Catchpole (1996). A statistical
algorithm for the early detection of outbreaks of infectious Disease,
Journal of the
Royal Statistical Society, Series A 159
, 547-563.
Fouillet, A., G. Rey, V. Wagner, K. Laaidi, P. Empereur-Bissonnet, A. Le Tertre, P.
Frayssinet, P. Bessemoulin, F. Laurent, P. De Crouy-Chanel, E. Jougla, and D.
Hémon (2008). Has the impact of heat waves on mortality changed in France
since the European heat wave of summer 2003? A study of the 2006 heat wave.
International Journal of Epidemiology 37,
309-317.
Freeland, R. K. and B. P. M. McCabe (2004). Analysis of low count time series data by
Poisson autoregression.
Journal of Time Series Analysis 25
(
5
), 701-722.
Frisén, M. (2003). Statistical surveillance: optimality and methods.
International
Statistical Review 71
(
2
), 403-434.
Frisén, M. (1992). Evaluations of methods for statistical surveillance.
Statistics in
Medicine 11
, 1489-1502.
GÕmez-Rubio V., J. Ferrándiz-Ferragud, and A. López-Quílez (2005). Detecting clus-
ters of disease with R.
Journal of Geographical Systems
,
7
(
2
), 189-206.
Gergonne, B., R. Pebody, N. Andrews, W. Bird, M. Gibbs, and C. Griffiths (2005).
Mortality early warning system based on weekly death registrations in England,
Oral presentation 154
, Annual Conference, Warwick, U.K., September 12-14,
2005, Abstracts: oral presentations and posters. London: Health Protection
Agency, 107.
Hawkins, D. M. and D. H. Olwell (1998).
Cumulative Sum Charts and Charting for
Quality Improvement
. Statistics for Engineering and Physical Science, Springer.
Heisterkamp, S. H., A. L. M. Dekkers, and J. C. M. Heijne (2006). Automated detec-
tion of infectious disease outbreaks: hierarchical time series models.
Statistics in
Medcine 25
, 4179-4196.
Höhle, M. (2007). Surveillance: An R package for the monitoring of infectious dis-
eases.
Computational Statistics 22
(
4
), 571-582.
Held, L., M. Hofmann, M. Höhle, and V. Schmid (2006). A two component model for
counts of infectious diseases.
Biostatistics 7
, 422-437.
Held, L., M. Höhle, and M. Hofmann (2005). A statistical framework for the analy-
sis of multivariate infectious disease surveillance data.
Statistical Modelling 5
,
187-199.
Höhle, M. and M. Paul (2008). Count data regression charts for the monitoring of sur-
veillance time series.
Computational Statistics and Data Analysis 52
(9), 4357-4368.
Höhle, M., M. Paul, and L. Held (2009). Statistical approaches to the surveillance of
infectious diseases for veterinary public health.
Preventive Veterinary Medicine
,
91
(1), 2-10.
Josseran, L., J. Nicolau, N. Caillère, P. Astagneau, and G. Brücker (2006). Syndromic
surveillance based on emergency department activity and crude mortality: two
examples.
Eurosurveillance 11
(
12
), 01 Dec, pii=668.
Kaiser, R., D. C´ oulombier, M. Baldari, D. Morgan, and C. Paquet (2006). What is epi-
demic intelligence, and how is it being improved in Europe?
Eurosurveillance
11
(
5
), 02 Feb, pii=2892.
Kuhn, Max and Steve Weaston (2009). odfWeave: Sweave processing of Open
Document Format (ODF) files. R package version 0.7.10.
Lecoutre, E. (2003). The R2HTML Package
R News 3(3)
, 33-36.