Register with De Gruyter Online and get access to this and other selected journals. Simply register with De Gruyter Online, log in and go to your personal user account "My De Gruyter". Please enter your access token FREE-ACCESS into the field provided. Once you have redeemed your token, you will be able to access the free content via the respective journal page.
Readers of Statistical Communications in Infectious Diseases have free access to its articles. To access the articles, simply click on "Get access to full text" on any article you wish to view.
You can enjoy access to a number of De Gruyter economics journals. To enjoy access, click here.
Answering some of the most urgent issues of today
Theoretical and practical outlook on infectious diseases
High educational value of published materials
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.
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
Volume 11 (2019): Issue 1 (Jan 2019): Special Issue: HIV Prevention Efficacy Trial Designs of the Future, Special Issue Editor: Holly Janes, PhD, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center and Department of Biostatistics, University of Washington
Once your article is accepted you have the option to publish it open access
Our repository policy allows you to distribute 30 PDF copies of your published article to colleagues (the PDF has to include the information that it is an author's copy). Please also feel free to distribute the link to the online abstract
Column Editors Diagnostics Norberto Pantoja-Galicia, Office of Biostatistics, Center for Devices and Radiological Health, U.S. Food and Drug Administration, USA (Norberto.Pantoja-Galicia@fda.hhs.gov) Gene Pennello, Office of Biostatistics, Center for Devices and Radiological Health, U.S. Food and Drug Administration, USA (Gene.Pennello@fda.hhs.gov)