Open Access Pub publishes peer-reviewed, free-to-read open-access articles. Showing
articles matching Dissemination — open any to read the full text,
or download the PDF or XML.
Jan 2022 DOI 10.14302/issn.2692-1537.ijcv-21-4044
Chukwuma Sr ChrysanthusCorresponding author
The Chrysanthus Centre for Future-Oriented Studies, Centre For Future-Oriented Studies, CTR Future-Oriented Ltd, Abakaliki, Ebonyi State, Nigeria.
This paper attempts to present the dissemination and transmission dynamics of emerging and reemerging infectious diseases and the underlying features of gain-of-function research and geopolitics in the ambient within and across borders. Research and publication are relevant from perspectives in the management of local and global health because disease is perspicuously a geopolitical issue ostensibly linked to gain-of-function research where health diplomacy undergirds present and future global functionalities regarding the emergence and reemergence of infectious diseases. These have generated vehement reactions with propensity for extreme geopolitics and gain-of-function natural and anthropogenic activities. Geopolitical parameters and gain-of-function issues impact on the social determinants of health and vice versa. The convening and convergence of countries for unprecented epidemic or pandemic treaty settings or other formulations to confront emerging and reemerging infectious diseases will afford considerable opportunities concerning challenges in action, preparedness and response. Provisions are pertinent for legal instruments, effective and efficient systems to curb future threats and outbreaks of infectious diseases.
May 2021 DOI 10.14302/issn.2641-4538.jphi-21-3632
Placide MUTABAZICorresponding author
Save the Children International, Nkumba University, School of postgraduate and research, P.O. Box 237 Entebbe-Uganda
Introduction Reporting of suspected or confirmed communicable diseases is paramount. Although physicians have primary responsibility for reporting, school nurses, laboratory directors, infection control practitioners, daycare center directors, health care facilities, state institutions and any other individuals providing health care services are also required to report communicable disease. Therefore, community health needs assessment in urban communities remains an essential instrument for the rapid and accurate dissemination of epidemiological information on cases and outbreaks of diseases under the national health regulations and other communicable diseases of public health importance, including emerging or re-emerging infections. Purpose of the Study Todescribe relevant medical needs of townspeople so that treatment plans can be developed accordingly. Methods The Study was a cross-sectional with qualitative approach. In-depth interviews and focus group interviews was used as research technique. Data was categorized to look for emerging themes then further distilled to identify any abstract themes that could be understood holistically. Results Urban decision-makers need to advocate the problem of human resources in public health facilities and the mutual health insurance to revise its insurance policy to allow their clients to be received even in private clinics. Dental services was wished to be available in public health centers. Study participants suggested that new useful information could be posted in private public premises rather than to be in public institutions only. Conclusion The patient waiting time, dental services in health centers, and the way of dissemination new health information, mutual health insurance and insufficient human resources are the major concerns of townspeople that they wish improvement.
Dec 2020 DOI 10.14302/issn.2641-4538.jphi-20-3641
Turk TahirCorresponding author
Background Evidence based message design and efficient dissemination of messages are critical to the success of tobacco control mass media campaigns. Although evidence to measure effectiveness of messages is emerging within low -and middle-income country (LMIC) settings, evidence-based approaches for mass media message dissemination is currently lacking due to challenges in accurate assessment of gross rating points (GRPs) for efficient delivery of campaign messages. Approaches to more accurately predict optimal campaign impact are required to achieve best-buys in resource constrained settings Method A case study approach compared findings from two national tobacco control mass media campaigns implemented in Bangladesh. Stage one reviewed protocols to assess the efficacy of message designs. Second stage analysis involved a review of the mass media campaign recall findings from cross-sectional, post-intervention surveys. Last, a post assessment of GRPs for both campaigns was conducted to support the development of an algorithm to better predict campaign impact at the greatest cost-efficiencies. Results Message mean pre-test scores identified that the Baby Alive campaign scored approximately 20% lower than mean pre-test scores of messages for the Graphic Health Warning campaign. Media dissemination for the Baby Alive campaign was also relatively low at 165GRPs achieving 16.8% prompted recall while the Graphic Health Warning campaign delivered 292GRPs to achieve 47.0% prompted recall. The analytic-predictive model identified that for messages with high pre-test scores an increase of only 1.5GRPs was required to the existing media plan to potentially achieve an additional percentage point of recall. Discussion Given the weaknesses in GRP calculations in LMIC settings, analysis of multiple metrics should be considered to achieve best buys for tobacco control mass media campaigns. Based on optimal message mean pre-test scores of 90%+ and delivery of 292GRPs, which achieved 47% campaign recall, optimal recall of 70% could be predicted with a media plan delivering 342GRPs. More analytical-predictive mass media programming models need to be developed in other LMIC settings examining multiple campaign findings to confirm if this algorithm can provide better returns on investment with efforts directed toward delivering interventions that are supported by a strong evidence base.
Mar 2020 DOI 10.14302/issn.2641-4538.jphi-20-3242
Nagaraj NitashaCorresponding author
Research Scientist, The George Washington University, Milken Institute School of Public Health, Department of Prevention and Community Health, 950 New Hampshire Ave, NW, 3rd Floor, Washington
Mental health and mental illness is a critical to a person’s overall health. In the United States alone, mental illness effects one in six adults. Furthermore, 40% of those individuals who die of suicide have been diagnosed with a mental health condition or illness. Yet, there is a paucity of research on innovative methods that help prevent suicide. The Contextual-Conceptual Therapy (CCT) approach introduces an innovative way to treat suicide by working to uncover the strengths of the suicidal person and addressing a person’s true self. The CCT approach was developed over the course of 25 years working with more than 16,000 suicidal patients in Seattle, Washington, and is tailored specifically for primary and secondary prevention of suicide. While there has been anecdotal evidence of the effectiveness of the CCT program, the program has yet to be formally evaluated. This qualitative research study aims to understand the impact the CCT approach has had on its clients. Eleven former CCT clients were recruited to participate in semi-structured interviews. Outcomes described by participants included an increase in curiosity and self-efficacy as a means through which to decrease suicide ideation and behavior, and proved to be incredibly powerful in changing long-term outcomes. This qualitative study is a first-step in providing critical insight on suicide prevention for wider dissemination. At a time when adverse mental health and illness is impacting the lives of millions of people, the CCT approach has the potential to address suicide, mental illness and mental health across diverse populations.
Apr 2018 DOI 10.14302/issn.2768-0207.jbr-17-1925
Bai QifengCorresponding author
Key Lab of Preclinical Study for New Drugs of Gansu Province, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu 730000, P. R. China
Big data research has become popular and exciting studies in almost all scientific fields such as biology, chemistry, epidemiology, medicine and drug discovery. The various systems and platforms produce large amounts of data every day. It will be very helpful for the researchers and workers to deal with big data if the practical database and useful software are introduced in time. The Journal of Big Data Research (JBR) supplies an efficient and open access publishing platform for big data research. The first issue of JBR aims to foster the dissemination of high-quality big data studies in the biological, medical and chemical database as well as the new algorithm and software for big data processing. The database and computing framework are selected to introduce the development of big data in the biological, medicine and drug discovery. The mature and functional database can be serviced in big data research of scientific fields. It promotes the scientists to extract the useful and essential dataset from the massive data. The grid computing and cloud computing supplies a new paradigm that offers an effective framework of computing and services. The research papers are welcomed from the scopes of the practical database, new algorithm and software for big data studies. All these kinds of papers not only provide the effective application methods and platforms, but also give a good promising future for big data research.
Mar 2016 DOI 10.14302/issn.2474-3585.jpmc-15-757
Hong LiuCorresponding author
Xijing Hospital of Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032,Shaanxi Province, China
Objective: MicroRNAs are involved in the onset, progression and dissemination of esophageal cancer, and they may be useful as prognostic biomarkers. This study aims to evaluate the relation of miR-21 expression and the prognosis of esophageal cancer patients. Methods: In this study, a meta-analysis is performed by searching PubMed, Science Direct databases, and Cochrane Library. Data are extracted from studies evaluating survival of esophageal cancer patients with either high or low miR-21 expression. Pooled hazard ratios (HRs) and 95% confidence intervals (CI) are calculated. Results: A total of 579 cases of esophageal cancer from five studies are involved for this global meta-analysis. The HR of survival of patients with high miR-21 expression is 1.47 (95% CI: 1.12–1.91; p<0.01) as compared with those with low expression. Conclusions: miR-21 may be a predictor for survival of esophageal cancer patients.
Jan 2013 DOI 10.14302/issn.2328-0182.japst-13-edt-1.1
Qin SuofuCorresponding author
Retinal Disease Research, Department Of Biological Sciences, Allergan, Inc., 2525 Dupont Drive, Irvine, CA 92612.
This inaugural editorial introduces a forum that bridges basic discovery and translational application across pharmaceutical science and technology. It emphasizes rapid, open‑access dissemination paired with rigorous peer review to shorten the bench‑to‑bedside path. The journal invites interdisciplinary submissions that highlight novel methods, materials, and clinically actionable findings.