26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 - Meeting Abstracts - Antwerp, Belgium. 15–20 July 2017

This work was produced as part of the activities of FAPESP Research,\ud Disseminations and Innovation Center for Neuromathematics (grant\ud 2013/07699-0, S. Paulo Research Foundation). NLK is supported by a\ud FAPESP postdoctoral fellowship (grant 2016/03855-5). ACR is partially\ud supported by a CNPq fellowship (grant 306251/2014-0)

GOOGLE IT! MAKING SENSE OF INFORMATION LITERACY AND EVIDENCE-BASED PRACTICE

When it comes to looking up for information, many people turn to Google. After all, Google is the most popular search engine worldwide and it houses an enormous amount of data. In this context, information literacy is crucial. Literacy in the information age means having access to and competence in evaluating information. It involves critical thinking skills and the ability to assess the reliability of sources or databases. Yet, it does not stop in there because evidence-based practice is another key concept in information literacy. The process of basing one's choices on the available data is what this term alludes to. Coming from the health sector, this is critical, as it impacts the consumers of healthcare services and, to some extent, the population's health. Bridging the gap is the collaboration between information scientist and health practitioner

EVIDENCE-BASED INPATIENT POSTNATAL CARE AMONG WOMEN IN A NATIONAL HOSPITAL IN KAZAKHSTAN: A BEST PRACTICE IMPLEMENTATION PROJECT

Improvements in reducing maternal and infant mortality in Kazakhstan have been noted over the past 2 decades. However, recent studies have indicated that care given to women during the perinatal period, which includes the postnatal period, is unsatisfactory. In addition, service delivery remains unstandardized, while outdated and inconsistent application of practice guidelines are observed in the clinical setting

Formation of Permeation Barriers on Ceramic SiC/SiC Composites

Abstract not availableJRC.(IAM)-Institute For Advanced Material

Reduction of Deuterium Permeation through SiC/SiC Composites by Plasma-Spray Deposited Eutectic Al-Si

Abstract not availableJRC.(IAM)-Institute For Advanced Material

Towards a post‐COVID world: Challenges and progress of recovery in Kazakhstan

Abstract Kazakhstan announced the first cases of COVID‐19 in March 2020. Within a span of a few months, the pandemic ravaged all regions affecting vulnerable populations due to limited access to healthcare services and co‐morbidities. To minimize the spread of the pandemic, the government announced the implementation of containment measures such as quarantine, movement restrictions, and lockdowns among others. The collateral effect of the pandemic has disrupted economic and learning activities pushing several people below the poverty line. The pandemic revealed the weakness of healthcare including the acute shortage of essential medicines and lack of hospital beds. This calls for stringent measures to revive the economy and mitigate the reeling effect of the pandemic. As a result, Kazakhstan commenced COVID‐19 vaccination efforts in February 2021. To date, about 47.8% are fully vaccinated pushing Kazakhstan closer to achieving herd immunity at the 60% threshold. However, the country faces challenges such as vaccine hesitancy and uncertainty surrounding vaccine effectiveness against new variants of SARS‐CoV2, among others. This paper aims to explore the health and socioeconomic challenges caused by COVID‐19 in Kazakhstan, control strategies, vaccination campaigns and progress towards herd immunity

Organizational commitment and turnover intention among rural nurses in the Philippines: Implications for nursing management

Objectives: The unrelenting migration trend of Filipino nurses to other countries has threatened the quality of patient care services in the country. This study explored the extent of nurses' organizational commitment and turnover intention in the Philippines. Furthermore, predictors of nurses’ organizational commitment and turnover intention were identified. Methods: A cross-sectional research design was adopted for this study. Two hundred nurses from nine rural hospitals in the Central Philippines were asked to participate in the study and 166 nurses responded (an 83% response rate). Two standardized instruments were used: the Organizational Commitment Questionnaire and the Six-item Turnover Intention Inventory Scale. Results: Findings revealed that Philippine nurses were moderately committed (3.13 ± 0.24) to and were undecided (2.42 ± 0.67) whether or not to leave their organization. Nurses' age (P = 0.006), gender, (t = -2.25, P = 0.026), education (t = 2.38, P < 0.001), rank(t = 4.38, P < 0.001), and work experience (t = 2.18, P = 0.031) correlated significantly with organizational commitment, while nurses’ age (P = 0.028) and education (t = 1.99, P = 0.048) correlated significantly with turnover intention. An inverse relationship was identified between the organizational commitment and turnover intention (r = −0.22, P = 0.005). Conclusion: The findings of this study highlight the need for formulation and implementation of interventions to promote life-long commitment in nurses and to reduce turnover rates. Keywords: Hospitals, Rural, Nurses, Organizational commitment, Philippines, Turnover intentio

TOWARDS AN ACCURATE ESTIMATION OF COVID-19 CASES IN KAZAKHSTAN: BACK-CASTING AND CAPTURE–RECAPTURE APPROACHES

Background and Objectives: Coronavirus disease 19 (COVID-19) has emerged as the most devastating syndemic of the 21st century, with worrisome and sustained consequences for the entire society. Despite the relative success of vaccination programs, the global threat of the novel coronavirus SARS-CoV-2 is still present and further efforts are needed for its containment and control. Essential for its control and containment is getting closer to understanding the actual extent of SARS-CoV-2 infections. Material and Methods: We present a model based on the mortality data of Kazakhstan for the estimation of the underlying epidemic dynamic—with both the lag time from infection to death and the infection fatality rate. For the estimation of the actual number of infected individuals in Kazakhstan, we used both back-casting and capture–recapture methods. Results: Our results suggest that despite the increased testing capabilities in Kazakhstan, official case reporting undercounts the number of infections by at least 60%. Even though our count of deaths may be either over or underestimated, our methodology could be a more accurate approach for the following: the estimation of the actual magnitude of the pandemic; aiding the identification of different epidemiological values; and reducing data bias. Conclusions: For optimal epidemiological surveillance and control efforts, our study may lead to an increased awareness of the effect of COVID-19 in this region and globally, and aid in the implementation of more effective screening and diagnostic measure