scholarly journals The Ukrainian pilot project “Stop radon”

2014 ◽  
Vol 29 (2) ◽  
pp. 142-148 ◽  
Author(s):  
Tatyana Pavlenko ◽  
Olga German ◽  
Miroslava Frizyuk ◽  
Nikolay Aksenov ◽  
Anatoliy Operchyuk

In 2010 one area of Ukraine (Kirovograd area) was selected for a pilot project to reduce radon risks. The project consists of several stages: radon risk training for the public health professionals, measurements of radon concentration in schools and nurseries (more than 1000 buildings were examined), justifications of radon countermeasures and their implementation. The lognormal frequency distribution for equivalent equilibrium concentration was authentically established. The geometric mean of the indoor radon equivalent equilibrium concentration was established to 63 Bq/m3, and standard deviation is equal to 82 Bq/m3. The indoor radon equivalent equilibrium concentration ranged from 22 Bq/m3 to 809 Bq/m3. It was found that the national regulatory limit for this type of buildings was exceeded in more than 50% of the cases. The second phase of the project has a goal to remediate radon levels and reduce radon risks. Calculated exposure doses and radon risk were used to justify the remediation and assess the economic loss for the region caused by radon irradiation of the population.

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
M Perkiö ◽  
R Harrison ◽  
M Grivna ◽  
D Tao ◽  
C Evashwich

Abstract Education is a key to creating solidary among the professionals who advance public health’s interdisciplinary mission. Our assumption is that if all those who work in public health shared core knowledge and the skills for interdisciplinary interaction, collaboration across disciplines, venues, and countries would be facilitated. Evaluation of education is an essential element of pedagogy to ensure quality and consistency across boundaries, as articulated by the UNESCO education standards. Our study examined the evaluation studies done by programs that educate public health professionals. We searched the peer reviewed literature published in English between 2000-2017 pertaining to the education of the public health workforce at a degree-granting level. The 2442 articles found covered ten health professions disciplines and had lead authors representing all continents. Only 86 articles focused on evaluation. The majority of the papers examined either a single course, a discipline-specific curriculum or a teaching method. No consistent methodologies could be discerned. Methods ranged from sophisticated regression analyses and trends tracked over time to descriptions of focus groups and interviews of small samples. We found that evaluations were primarily discipline-specific, lacked rigorous methodology in many instances, and that relatively few examined competencies or career expectations. The public health workforce enjoys a diversity of disciplines but must be able to come together to share diverse knowledge and skills. Evaluation is critical to achieving a workforce that is well trained in the competencies pertinent to collaboration. This study informs the pedagogical challenges that must be confronted going forward, starting with a commitment to shared core competencies and to consistent and rigorous evaluation of the education related to training public health professionals. Key messages Rigorous evaluation is not sufficiently used to enhance the quality of public health education. More frequent use of rigorous evaluation in public health education would enhance the quality of public health workforce, and enable cross-disciplinary and international collaboration for solidarity.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
S Zaheer ◽  
N Shah ◽  
N Safdar

Abstract Background In Pakistan, this is a catastrophe for 44% children combating with stunted growth; the third highest percentage of stunted children in the world and further 1 million children are underweight. Fifteen percent of children are wasted and half of them are anemic, and almost one-third of the children have iron deficiency anemia. The study aimed to collate all contributing factors that have been reported in the PDHS-2012-13 survey for child malnutrition. Methods Pakistan Demographic and Health Survey, 2012-13 data was used (n = 1967). Forty five factors were extracted from PDHS 2012-13 and factor analysis was performed to reduce these factors into similar potential factors by using principle component (PC) decomposition. Malnutrition status of children of age < 5 years was assessed by using three indices: height-for-age, weight-for-height, and weight for age. To examine the associations between derived factors and childhood malnutrition, binary logistic regression was used. Results About 43% of under-five children are stunted, 26.9% are underweight and 12.6% are wasted. Multivariate adjusted results showed mothers who belong to poor quintile (OR: 1.50, p-value 0.02), who afraid of husband all the time (OR: 1.36, p-value 0.02), who had > 4 children (OR: 1.47, p-value <0.01), and who used tobacco (OR: 1.80, p-value 0.02) were more likely to have stunted children. However, mothers who had no education (OR: 1.82, p-value<0.01), who were poor dweller (OR: 1.55, p-value 0.03), who used unprotected water (OR: 1.62, p-value<0.01), mothers who had younger age at birth (OR: 1.37, p-value 0.02) were more likely have underweight children. Conclusions Maternal socio-demographics and environmental factors were more significantly associated with child malnutrition. This study will enable the public health professionals' workforce tier at a national level to gain expertise and formulate better planning in order to improve child health in Pakistan. Key messages This study will enable the public health professionals’ workforce tier to achieve gains in child health in Pakistan. Study findings may help to improved and to initiate evidence-based guidelines for maternal and child health.


Author(s):  
Saïdou ◽  
Oumar Bobbo Modibo ◽  
Ndjana Nkoulou II Joseph Emmanuel ◽  
Olga German ◽  
Kountchou Noube Michaux ◽  
...  

The current work deals with indoor radon (222Rn) concentrations and ambient dose-equivalent rate measurements in the bauxite-bearing areas of the Adamawa region in Cameroon before mining from 2022. In total, 90 Electret Ionization Chambers (EIC) (commercially, EPERM) and 175 Radon Track Detectors (commercially, RADTRAK2) were used to measure 222Rn concentrations in dwellings of four localities of the above region. A pocket survey meter (RadEye PRD-ER, Thermo Scientific, Waltham, MA, USA) was used for the ambient dose-equivalent rate measurements. These measurements were followed by calculations of annual doses from inhalation and external exposure. 222Rn concentrations were found to vary between 36 ± 8–687 ± 35 Bq m−3 with a geometric mean (GM) of 175 ± 16 Bq m−3 and 43 ± 12–270 ± 40 Bq m−3 with a geometric mean of 101 ± 21 Bq m−3 by using EPERM and RADTRAK, respectively. According to RADTRAK data, 51% of dwellings have radon concentrations above the reference level of 100 Bq m−3 recommended by the World Health Organization (WHO). The ambient dose equivalent rate ranged between 0.04–0.17 µSv h−1 with the average value of 0.08 µSv h−1. The inhalation dose and annual external effective dose to the public were assessed and found to vary between 0.8–5 mSv with an average value of 2 mSv and 0.3–1.8 mSv with an average value of 0.7 mSv, respectively. Most of the average values in terms of concentration and radiation dose were found to be above the corresponding world averages given by the United Nations Scientific Commission on the Effects of Atomic Radiation (UNSCEAR). Even though the current exposure of members of the public to natural radiation is not critical, the situation could change abruptly when mining starts.


BMJ Open ◽  
2012 ◽  
Vol 2 (6) ◽  
pp. e001632 ◽  
Author(s):  
Kari A O Tikkinen ◽  
Janne S Leinonen ◽  
Gordon H Guyatt ◽  
Shanil Ebrahim ◽  
Teppo L N Järvinen

2003 ◽  
Vol 31 (4) ◽  
pp. 701-713 ◽  
Author(s):  
Wendy E. Parmet ◽  
Anthony Robbins

Public health professionals recognize the critical role the law plays in determining the success of public health measures. Even before September 11, 2001, public health experience with tobacco use, HIV, industrial pollution and other potent threats to the health of the public demonstrated that laws can assist or thwart public health efforts. The new focus on infectious threats and bioterrorism, starting with the anthrax attacks through the mail and continuing with SARS, has highlighted the important role of law.For lawyers to serve as effective partners in public health, they should have a basic familiarity with public health: how public health professionals see the world and the key issues they tackle. A practical grasp of public health can be acquired, and often is acquired, “on the job.”


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Colin L. Soskolne ◽  
Shira Kramer ◽  
Juan Pablo Ramos-Bonilla ◽  
Daniele Mandrioli ◽  
Jennifer Sass ◽  
...  

Abstract Background Critical knowledge of what we know about health and disease, risk factors, causation, prevention, and treatment, derives from epidemiology. Unfortunately, its methods and language can be misused and improperly applied. A repertoire of methods, techniques, arguments, and tactics are used by some people to manipulate science, usually in the service of powerful interests, and particularly those with a financial stake related to toxic agents. Such interests work to foment uncertainty, cast doubt, and mislead decision makers by seeding confusion about cause-and-effect relating to population health. We have compiled a toolkit of the methods used by those whose interests are not aligned with the public health sciences. Professional epidemiologists, as well as those who rely on their work, will thereby be more readily equipped to detect bias and flaws resulting from financial conflict-of-interest, improper study design, data collection, analysis, or interpretation, bringing greater clarity—not only to the advancement of knowledge, but, more immediately, to policy debates. Methods The summary of techniques used to manipulate epidemiological findings, compiled as part of the 2020 Position Statement of the International Network for Epidemiology in Policy (INEP) entitled Conflict-of-Interest and Disclosure in Epidemiology, has been expanded and further elucidated in this commentary. Results Some level of uncertainty is inherent in science. However, corrupted and incomplete literature contributes to confuse, foment further uncertainty, and cast doubt about the evidence under consideration. Confusion delays scientific advancement and leads to the inability of policymakers to make changes that, if enacted, would—supported by the body of valid evidence—protect, maintain, and improve public health. An accessible toolkit is provided that brings attention to the misuse of the methods of epidemiology. Its usefulness is as a compendium of what those trained in epidemiology, as well as those reviewing epidemiological studies, should identify methodologically when assessing the transparency and validity of any epidemiological inquiry, evaluation, or argument. The problems resulting from financial conflicting interests and the misuse of scientific methods, in conjunction with the strategies that can be used to safeguard public health against them, apply not only to epidemiologists, but also to other public health professionals. Conclusions This novel toolkit is for use in protecting the public. It is provided to assist public health professionals as gatekeepers of their respective specialty and subspecialty disciplines whose mission includes protecting, maintaining, and improving the public’s health. It is intended to serve our roles as educators, reviewers, and researchers.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Jay Huang ◽  
Wayne Loschen

ObjectiveThe objective of this presentation is to explore emerging technologies and how they will impact the public health field. New technologies such as blockchain, artificial intelligence (AI), and the Internet of Things (IoT) will likely be incorporated into epidemiological methods and processes. This presentation will provide an overview of these technologies and focus on how they may impact public health surveillance in the future.IntroductionWith the increase in the amount of public health data along with the growth of public health informatics, it is important for epidemiologists to understand the current trends in technology and the impact they may have in the field. Because it is unfeasible for public health professionals to be an expert in every emerging technology, this presentation seeks to provide them with a better understanding of how emerging technologies may impact the field and the level of expertise required to realize benefits from the new technologies. Furthermore, understanding the capabilities provided by emerging technologies may guide future training and continuing education for public health professionals.MethodsAnalysis of current capabilities and potential advances in emerging technologies such as blockchain, AI, and IoT were performed by reviewing articles and whitepapers. In addition to a literature review, interviews will be performed with public health experts to determine how the emerging technologies align with current practices and the extent to which they may solve existing public health surveillance challenges.ResultsThe literature review revealed many emerging technologies and potential applications in the public health field, including:BlockchainBlockchains can serve as electronic health information exchanges that hold the metadata and access information for patient electronic health records (EHRs).1 These systems can ensure data privacy protections while also facilitate relevant data sharing from EHRs to disease surveillance systems. Furthermore, blockchain technology can be used in food supply chain management systems. During food contamination events, epidemiologists can trace through the blockchain to identify possible sources of the contamination.2AIAI can be used to improve the prediction and detection capabilities of disease surveillance systems. Machine learning algorithms can reveal patterns in the data and enable faster anomaly detection. Furthermore, machine learning models can be trained on data to create predictive models.IoTUrban IoT systems can monitor environmental indices including water and air quality, energy consumption, waste management, and traffic congestion in smart cities.3 The data collected from such systems can be incorporated into more comprehensive disease surveillance systems and assist epidemiologists in better understanding populations and environmental risk factors.We will analyze and discuss such prospective applications with public health professionals to determine their potential impact on public health processes and practices in the next one, five, and ten years.ConclusionsBlockchain, AI, IoT and other emerging technologies have applications in public health surveillance and impact the field to varying degrees. In addition to technological advances, there will be barriers to adoption that must be overcome before the value provided by the technologies can be realized. Many new technologies will require significant collaboration between public health departments, healthcare providers, and other partners to successfully incorporate the technologies into epidemiological processes. These collaborations include forming consortiums to exchange data in a blockchain and working with IoT providers for data access. Some technologies will require public health professionals to obtain additional training before they can take full advantage of the capabilities provided, while other technologies may be implemented by external partners allowing epidemiologists to utilize the new capabilities without the need to completely understand the underlying concepts. As emerging technologies are introduced into the public health field, a strong understanding of their capabilities and suitable applications will allow public health professionals to fully capture the benefits provided by the new technologies.References1. Ekblaw A, Azaria A, Halamka JD, Lippman A. A Case Study for Blockchain in Healthcare:“MedRec” prototype for electronic health records and medical research data. InProceedings of IEEE open & big data conference 2016 Aug 22 (Vol. 13, p. 13).2. Yiannas F. A New Era of Food Transparency Powered by Blockchain. Innovations: Technology, Governance, Globalization. 2018 Jul;12(1-2):46-56.3. Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M. Internet of things for smart cities. IEEE Internet of Things Journal. 2014 Feb 14;1(1):22-32.


Author(s):  
Meghamala S. Tavaragi ◽  
Sushma C.

Mental disorders are an important cause of long-term disability and dependency. It accounts for over 15% of the disease burden in developed countries, which is more than the disease burden caused by all cancers. Mental illness is a leading cause of suffering, economic loss and social problems. The burden of mental disorders is likely to have been underestimated because of inadequate appreciation of the connectedness between mental illness and other health conditions. Mental disorders increase risk for communicable and non-communicable diseases, and contribute to unintentional and intentional injury, and comorbidity complicates help-seeking, diagnosis, and treatment, and influences prognosis. Consequently, health professionals have trivialized the issue of mental illness. It is essential that researchers and public health professionals work together to resolve the enormous public health crisis presented by mental disorders. In short, we must “mainstream” mental health.


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