It is ranked in the top 5 of public, environmental, and occupational health journals. The theme of the issue will be "Emerging and Reemerging Infectious Diseases". In the past 2 decades, we have seen numerous global outbreaks that have proven challenging to prevent and control.
October 31, Call for Papers View Abstract Submission Guidelines Over the last 27 years, the Society for Prevention Research SPR has established itself as the leading scientific organization devoted to the goal of advancing prevention science to promote health and well-being.
The SPR Conference Committee invites submissions for the conference that focus on the core areas of interest to SPR, including the general themes of research related to epidemiology and etiology; development and testing of interventions; implementation and dissemination strategies; research, policy, and practice; and innovative methods and statistics see below.
Submissions are encouraged from researchers and policy-makers across the world at all stages of their career and from varied backgrounds including bio-behavioral sciences, communication, computer science, criminal justice, developmental science, education, engineering, genetics, human services, informatics, medicine, public health, Call for papers epidemiology science, and social work.
In addition to the general themes we encourage submissions related to the special conference themes described below. Special Conference Themes Each year, SPR selects special themes designed to highlight specific areas of research relevant to prevention science. These special themes guide the development of plenary sessions, symposia, and preconference workshops.
The SPR Conference Committee encourages basic, applied, and developmental research submissions across the three special themes. Recent advances in medical informatics, big data analytics, mobile health mHealthsmartphone and portable sensor technologies, social media and web generated data, geospatial data, and administrative data from the public health, child welfare, criminal justice, and education fields have laid the groundwork for a rich data environment.
Further, data integration, including integrating neurobiological and genetic data, combining data from multiple studies, and merging data on the same individuals from multiple sources data linkingpresents opportunities to leverage the power of data science in prevention. In addition, the NIH recently released a new Strategic Plan for Data Science to outline a roadmap for modernizing the NIH-funded data ecosystem in terms of storing, managing, standardizing, sharing, and publishing the vast amounts of data produced by the research community.
Big data hold the promise of advancing prevention science by revealing for scientists and decision makers nuances in existing and emerging public health issues. Also, leveraging such data could guide the design and provision of nimble prevention programs to individuals at precise times of need e.
Consistent with the conference theme, the SPR Conference Committee encourages special conference theme submissions related to: Our third special conference theme focuses on understanding how prevention research can address health disparities.
The third special conference theme encourages submissions regarding health disparities research, including submissions related to methods and interventions to reduce disparities and increase equity through prevention.
Mobile Health mHealth in Prevention Science: Assessment, Intervention, and Analysis An increasing emphasis on data science and individualized health provides unique opportunities and challenges for prevention science.
The rapidly developing field of mHealth is driven in part by the increasing ability to collect intensive longitudinal and real-time data about individuals in their natural environments. Intensive data capture and provision of intervention content offer the promise for prevention and treatment approaches to be implemented, studied, optimized, and tailored based in part on real-time data collected from smartphones, wearable bio sensors, and other sources of frequent reported outcomes.
Moreover, data dashboards, predictive analytics, and social network analysis provide just a few examples of analytic methodologies designed to make sense of intensive data.
Intensive longitudinal data and data science analytics offer new possibilities for detailed surveillance and epidemiology research, but also for etiological research that can inform intervention development. Big Data Integration To make the most of big data in prevention science, we need a strong framework to guide the application and dissemination of the best methods to extract, link, and analyze complex datasets.
Related data sources include cross-national and state-level administrative and surveillance data, electronic health records, high-dimensional data in genomics, and other biological data.
In some cases, we can use existing databases and integrated data registries to access, harmonize, and pool data to assess community needs or test new intervention strategies.The Half-Lives of Facts, Paradigm Shifts, and Reproducibility in Cancer Research.
Call for Papers, Public health conference The conference will be held on 25th July in Kuala Lumpur, Malaysia under the theme “Promoting Global Health Equity towards a Sustainable Future”. Special Topic Call for Papers on Epidemiology of Infectious Diseases Aims To study novel strategies for preventing and controlling infectious and immune diseases, including research on .
Call for Papers. Epidemiologic Reviews. Theme Issue (Volume 41) “Emerging and Reemerging Infectious Diseases” Epidemiologic Reviews, a sister publication of the American Journal of Epidemiology, is devoted to publishing comprehensive and critical reviews on specific themes once per year.
It is ranked in the top 5 of public. An international, peer-reviewed, open access journal focusing on disease and drug epidemiology, identification of risk factors and screening procedures to develop optimal .
Call for Papers. Download PDF version of SPR CFP. Epidemiology and Etiology: Submissions under this theme are focused on describing the distribution and patterns of injury and disease (e.g., cancer, cardiovascular disease, substance use disorders, depression.