Statistical Communications in Infectious Diseases

Published by De Gruyter

Volume 1 Issue 1

June 2009

Issue of Statistical Communications in Infectious Diseases

Contents
Journal Overview

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August 6, 2009

Infectious Disease Modeling: Creating a Community to Respond to Biological Threats

James Kaufman, Stefan Edlund, Judith Douglas

Abstract

The rise of global economies in the 21st century, the rapid national and international movement of people, and the increased reliance of developed countries on global trade, all greatly increase the potential and possible magnitude of a worldwide pandemic. New epidemics may be the result of global climate change, vector-borne diseases, food-borne illness, new naturally occurring pathogens, or bio-terrorist attacks. The threat is most severe for highly communicable diseases. When rapidly spreading microparasitic infections coincide with the rapid transportation, propagation, and dissemination of the pathogens and vectors for infection, the risks associated with emerging infectious disease increase. We discuss the use of publicly-available technologies in assisting public health officials and scientists in protecting populations from emerging disease or in implementing improved response measures. We illustrate possibilities using the SpatioTemporal Epidemiological Modeler (STEM) that was developed to run on the Open Health Framework (OHF) created by the Eclipse Foundation in 2004. An illustration regarding the spread of the influenza H1N1 virus from Mexico to the United States via air travel in Spring 2009 is briefly discussed.

About this journal

Objective
The mission of Statistical Communications in Infectious Diseases is to serve as the primary vehicle for the communication and education of statistical thinking in infectious disease research and policy.

The infectious diseases community faces many difficult challenges. These include: (1) coping with continuing high-impact diseases such as HIV, malaria, TB, and flu; (2) dealing with infectious disease outbreaks such as Ebola, pandemic avian influenza, or SARS; and (3) preparing for the inevitable emergence of diseases that are unknown or are recognized but will reemerge in a more threatening form (e.g., antibiotic resistant [nightmare] bacteria or superbugs). Research in infectious diseases is also challenged by funding limitations, politics, and ethical dilemmas.

Increasingly complex data is also creating new challenges to the design and analysis of research studies. Enhanced statistical expertise is essential to address these challenges and to develop and evaluate medical and public health responses to potential outbreaks and epidemics.

Statistical Communications in Infectious Diseases (SCID) publishes significant research on the application of statistical ideas to problems arising from studies of infectious diseases. SCID takes a broad perspective on the role of statistics in infectious disease research including application, policy, education and theory. SCID fosters much-needed communication among statisticians on the best approaches to evolving complex infectious disease data, and is a venue for statisticians to enter a dialogue with other scientists and policy makers on the strengths and limitations of policies and methods for design, monitoring, analysis, and reporting of infectious disease research studies.

SCID goes beyond the application of statistical methods to data arising from infectious disease studies or new statistical strategies. SCID serves as a sounding board to discuss policy issues, as well as to accomplish the following goals: (1) engage and raise the quality of the discussions of important issues in the public and scientific press; (2) ensure that optimal scientific tools are utilized in infectious disease research; (3) improve the training and practice of the next generation of professionals involved in infectious diseases research through educational articles; (4) raise the profile of quantitative science in infectious disease research by demonstrating its value in decision making and public health.

Topics

How heavily should the public invest in research or implementation of different prevention modalities?
What is necessary to achieve control of epidemics (for example, do we require a vaccine to control the spread of HIV or what procedures are required to halt the spread of Ebola)?
How can statisticians help with grass roots epidemic control efforts?
How can we optimally evaluate the benefits vs. harms vs. costs of competing interventions?
How can we best characterize the trade-offs between civil liberties and public safety?
How should we adjust the traditionally required level of evidence to address areas of unmet medical need?
How do we revise our traditional approaches to the design, monitoring, analyses, and reporting of infectious disease studies to improve medical practice and public health?

Article formats
Original research articles, book reviews

Information on Submission Process