[Forum SIS] Special issue "Statistical Methods for the Analysis of Infectious Diseases"

[Michela Cameletti]

Care/i colleghe/i,

vi segnalo lo special issue dal titolo "*Statistical Methods for the
Analysis of Infectious Diseases*" che verrà pubblicato dalla rivista*
Mathematics* (ISSN 2227-7390) - sezione "Probability and Statistics
Theory". Di seguito una descrizione più dettagliata e i link di riferimento.

Cari saluti,
Michela Cameletti

****

The COVID-19 pandemic has posed a number of new challenges for statistical
methods in the analysis of public health data. Examples include modeling
incomplete noisy spatiotemporal data (e.g., number of infected and deaths),
methods for the analysis of existing and new treatments applied to
infectious diseases, and analysis of health systems to better face the
pandemic, to mention a few. The aim of this Special Issue of the
Mathematics journal (https://www.mdpi.com/journal/mathematics) is to
contribute to the global pandemic effort by providing a framework where to
present and discuss novel ideas and statistical methods for the analysis of
these new challenges.

In this context, submitted works can come from a broad range of statistical
areas, such as spatiotemporal modeling of infectious diseases, health
economics, efficient computational methods for real-time disease
surveillance, imputation of missing data, and analysis of health data, for
example. The focus of the Special Issue is primarily on the analysis of
statistical problems related to infectious diseases, and of course papers
about the COVID-19 pandemic will be welcome. Papers not directly related to
this disease but within the areas of interest of this Special Issue will
also be of interest. Software development (e.g., R packages) will also be
considered, provided that they represent an important contribution to any
of the topics covered in the Special Issue.

Topics adequate for this Special Issue include but are not limited to the
following:

• Computational methods for the analysis of infectious diseases;
• Detection of disease outbreaks;
• Disease surveillance methods;
• Health economics;
• Joint modeling of survival and longitudinal data;
• Spatiotemporal modeling for disease mapping.

Submissions must contain relevant new research on these topics. Review
papers on relevant topics will also be considered for publication. Authors
are encouraged to make their submissions fully reproducible by, among
others, providing the datasets and computer codes needed to reproduce all
the analyses and figures in the paper. These files can be included as
supplementary materials to the paper.

The submission deadline is 30 November 2020. However, papers will go
through the peer-review process as soon as they are submitted. More
information, including manuscript submission information, can be found at
the special issue website:
https://www.mdpi.com/journal/mathematics/special_issues/statistical_methods_diseases

Keywords: Computational methods for modeling diseases, Disease
surveillance, Health economics, Infectious diseases, Spatiotemporal models,
Spatiotemporal epidemiology

Prof. Dr. Gianluca Baio
Prof. Dr. Marta G. Blangiardo
Dr. Michela Cameletti
Dr. Virgilio Gómez Rubio

Guest Editors




-- 
Michela Cameletti
Dept. of Management, Economics and Quantitative Methods
Università degli Studi di Bergamo
Via dei Caniana 2 - 24127 Bergamo (Italy)
Tel.: + 39 035 205 2519
@: michela.cameletti at unibg.it
www.unibg.it/pers/?michela.cameletti
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