Innovations in Biostatistical Methods and Data for Public Health Research

Dear Colleagues,

Innovations in public health data analytics are critically important to take a full advantage of big data from public health and healthcare sectors, as well as from numerous other industries with potential impacts on health, through social determinants of health. Meanwhile, evidence-based public health is increasingly becoming indispensable, given that public health systems are becoming more complex and are presented with new challenges by communities around the globe. After the economic recession of 2008, public health agencies operated in an environment characterized by increasing demands to improve quality, adopt evidence-based decision-making, and improve efficiency in disease surveillance and outbreak detection. At the same time, large amounts of electronic data from public health, healthcare, and other sectors, such as economic, social, environmental, transportation, and education to name a few, are available to innovatively analyze and inform healthcare and public health. In a dynamic public health environment, filled with emerging demands for evidence-based public health practice, it is ever more imperative for public health and healthcare agencies to have access to evidence created from innovative biostatistical analyses of real time or nearly-real-time data.

To take advantage of the new advances in big data, data integration, and data analytics, this Special Issue is open for contributions in the field of biostatistics and public health. The International Journal of Environmental Research and Public Health invites research articles, systematic reviews, and short reports showcasing innovations in theories, methods, modeling, data integration, and data analytics, and their application to current public health issues with respect to policy and practice. Examples of topics of innovative biostatistical and data integration include:

• Meta analysis methods for public health research.
• Data improvement, integration (e.g., probabilistic record linkage), and data improvement innovation in using big data
• Biostatiscal statistical modelling for current public health topics
• Innovative methods and designs for public health research

The public health domains to which biostatistical and data integration innovations may be applied include (but are not limited to) the following:

• Health systems and services, and infrastructure
• Health disparities and inequities,
• Health economics
• Health policy and management
• Epidemiology
• Environmental public health
• Comparative effectiveness research models in healthcare/public health

Prof. Dr. Gulzar Shah
Prof. Dr. Hani Michel Samawi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.