A Multi-Site Knowledge Attitude and Practice Survey of Ebola Virus Disease in Nigeria

Background

The 2014 Ebola Virus Disease (EVD) outbreak was characterised by fear, misconceptions and irrational behaviours. We conducted a knowledge attitude and practice survey of EVD in Nigeria to inform implementation of effective control measures.

Methods

Between July 30^th and September 30^th 2014, we undertook a cross sectional study on knowledge, attitude and practice (KAP) of Ebola Virus Disease (EVD) among adults of the general population and healthcare workers (HCW) in three states of Nigeria, namely Bayelsa, Cross River and Kano states. Demographic information and data on KAP were obtained using a self-administered standardized questionnaire. The percentage KAP scores were categorised as good and poor. Independent predictors of good knowledge of EVD were ascertained using a binary logistic regression model.

Results

Out of 1035 study participants with median age of 32 years, 648 (62.6%) were males, 846 (81.7%) had tertiary education and 441 (42.6%) were HCW. There were 218, 239 and 578 respondents from Bayelsa, Cross River and Kano states respectively. The overall median percentage KAP scores and interquartile ranges (IQR) were 79.46% (15.07%), 95.0% (33.33%) and 49.95% (37.50%) respectively. Out of the 1035 respondents, 470 (45.4%), 544(52.56%) and 252 (24.35%) had good KAP of EVD defined using 80%, 90% and 70% score cut-offs respectively. Independent predictors of good knowledge of EVD were being a HCW (Odds Ratio-OR-2.89, 95% Confidence interval-CI of 1.41–5.90), reporting ‘moderate to high fear of EVD’ (OR-2.15, 95% CI-(1.47–3.13) and ‘willingness to modify habit’ (OR-1.68, 95% CI-1.23–2.30).

Conclusion

Our results reveal suboptimal EVD-related knowledge, attitude and practice among adults in Nigeria. To effectively control future outbreaks of EVD in Nigeria, there is a need to implement public sensitization programmes that improve understanding of EVD and address EVD-related myths and misconceptions, especially among the general population.     

Establishment of Multi-Site Infection Model in Zebrafish Larvae for Studying Staphylococcus aureus Infectious Disease

Zebrafish(Danio rerio) is an ideal model for studying the mechanism of infectious disease and the interaction between host and pathogen.As a teleost,zebrafish has developed a complete immune system which is similar to mammals.Moreover,the easy acquirement of large amounts of transparent embryos makes it a good candidate for gene manipulation and drug screening.In a zebrafish infection model,all of the site,timing,and dose of the bacteria microinjection into the embryo are important factors that determine the bacterial infection of host.Here,we established a multi-site infection model in zebrafish larvae of 36 hours post-fertilization(hpf) by micro-injecting wild-type or GFP-expressing Staphylococcus aereus(5.aureus) with gradient burdens into different embryo sites including the pericardial cavity(PC),eye,the fourth hindbrain ventricle(4V),yolk circulation valley(YCV),caudal vein(CV),yolk body(YB),and Duct of Cuvier(DC) to resemble human infectious disease.With the combination of GFP-expressing S.aureus and transgenic zebrafish Tg(corola:eGFP;lyz:Dsred) and Tg(lyz:Dsred) lines whose macrophages or neutrophils are fluorescent labeled,we observed the dynamic process of bacterial infection by in vivo multicolored confocal fluorescence imaging.Analyses of zebrafish embryo survival, bacterial proliferation and myeloid cells phagocytosis show that the site- and dose-dependent differences exist in infection of different bacterial entry routes.This work provides a consideration for the future study of pathogenesis and host resistance through selection of multi-site infection model.More interaction mechanisms between pathogenic bacteria virulence factors and the immune responses of zebrafish could be determined through zebrafish multi-site infection model.     

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Spring-like materials are ubiquitous in nature and of interest in nanotechnology for energy harvesting, hydrogen storage, and biological sensing applications.  For predictive simulations, it has become increasingly important to be able to model the structure of nanohelices accurately.  To study the effect of local structure on the properties of these complex geometries one must develop realistic models.  To date, software packages are rather limited in creating atomistic helical models.  This work focuses on producing atomistic models of silica glass (SiO₂) nanoribbons and nanosprings for molecular dynamics (MD) simulations. Using an MD model of “bulk” silica glass, two computational procedures to precisely create the shape of nanoribbons and nanosprings are presented.  The first method employs the AWK programming language and open-source software to effectively carve various shapes of silica nanoribbons from the initial bulk model, using desired dimensions and parametric equations to define a helix.  With this method, accurate atomistic silica nanoribbons can be generated for a range of pitch values and dimensions.  The second method involves a more robust code which allows flexibility in modeling nanohelical structures.  This approach utilizes a C++ code particularly written to implement pre-screening methods as well as the mathematical equations for a helix, resulting in greater precision and efficiency when creating nanospring models.  Using these codes, well-defined and scalable nanoribbons and nanosprings suited for atomistic simulations can be effectively created.  An added value in both open-source codes is that they can be adapted to reproduce different helical structures, independent of material.  In addition, a MATLAB graphical user interface (GUI) is used to enhance learning through visualization and interaction for a general user with the atomistic helical structures.  One application of these methods is the recent study of nanohelices via MD simulations for mechanical energy harvesting purposes.     

Career insurance: Enabling intellectual risks

Professional science has become risk-averse. In terms of papers per dollar science is more productive than ever, but, in terms of pushing through new, applicable understanding of life, it has stagnated. This is because the career structure in professional science rewards cautious, me-too productivity over investment in long-term, high-risk programmes. Exploring new fields requires that the investigator forgo papers, grants, students, and other measurables on which their future promotion will be based. The potential reward is not sufficient to balance this downside. I suggest that funding bodies could help to remedy this by creating a ‘Career Insurance’ scheme for young, imaginative scientists who want to take career risks to protect them against the downside of those risks. Most plausibly this could be by providing back-up funding for the investigator so that, if the speculative path fails, they have resources to return to ‘normal’ science and rebuild their productivity.     

AutoMate: Enabling Autonomic Applications on the Grid

The increasing complexity, heterogeneity, and dynamism of emerging pervasive Grid environments and applications has necessitated the development of autonomic self-managing solutions, that are inspired by biological systems and deal with similar challenges of complexity, heterogeneity, and uncertainty. This paper introduces Project AutoMate and describes its key components. The overall goal of Project Automate is to investigate conceptual models and implementation architectures that can enable the development and execution of such self-managing Grid applications. Illustrative autonomic scientific and engineering Grid applications enabled by AutoMate are presented. The research presented in this paper is supported in part by the National Science Foundation via grants numbers ACI 9984357, EIA 0103674, EIA 0120934, ANI 0335244, CNS 0305495, CNS 0426354 and IIS 0430826. The authors would like to acknowledge the contributions of M. Agarwal, V. Bhat and N. Jiang to this research.     

Periodontal Disease and Risk of Chronic Obstructive Pulmonary Disease: A Meta-Analysis of Observational Studies

Background

Many epidemiological studies have found a positive association between periodontal disease (PD) and risk of chronic obstructive pulmonary disease (COPD), but this association is varied and even contradictory among studies. We performed a meta-analysis to ascertain the relationship between PD and COPD.

Methods

PubMed and Embase database were searched up to January 10, 2012, for relevant observational studies on the association between PD and risk of COPD. Data from the studies selected were extracted and analyzed independently by two authors. The meta-analysis was performed using the Comprehensive Meta-Analysis software.

Results

Fourteen observational studies (one nested case-control, eight case-control, and five cross-sectional) involving 3,988 COPD patients were yielded. Based on random-effects meta-analysis, a significant association between PD and COPD was identified (odds ratio = 2.08, 95% confidence interval = 1.48–2.91; P<0.001), with sensitivity analysis showing that the result was robust. Subgroups analyses according to study design, ethnicity, assessment of PD/COPD, and adjusted/unadjusted odds ratios also revealed a significant association. Publication bias was detected.

Conclusions

Based on current evidence, PD is a significant and independent risk factor of COPD. However, whether a causal relationships exists remains unclear. Morever, we suggest performing randomized controlled trails to explore whether periodontal interventions are beneficial in regulating COPD pathogenesis and progression.     

Enabling ScFvs as multi-drug carriers: a dendritic approach

To enable scFvs as multi-drug carriers, we designed and synthesized dendritic linker molecules bearing up to nine chlorambucil residues at the branch ends. A maleimide group was used at the focal point of the dendron for easy linkage to the scFv. Originally designed molecules showed poor water solubility. To address this problem, a lysine residue with an unprotected carboxylic acid group was inserted into the dendron branches. The new molecules showed excellent water solubility and are now suitable for conjugation. Such dendritic molecules will allow studies to understand the relationship between the drug/antibody ratio and the potency of the immunoconjugates. The dendritic approach could also be applied to drugs other than chlorambucil and carriers other than scFvs to greatly increase the drug/carrier ratio.     

Social Relationships and Depression: Ten-Year Follow-Up from a Nationally Representative Study

Background

Social network characteristics have long been associated with mental health, but their longitudinal impact on depression is less known. We determined whether quality of social relationships and social isolation predicts the development of depression.

Methods

The sample consisted of a cohort of 4,642 American adults age 25–75 who completed surveys at baseline in 1995–1996 and at ten-year follow-up. Quality of relationships was assessed with non-overlapping scales of social support and social strain and a summary measure of relationship quality. Social isolation was measured by presence of a partner and reported frequency of social contact. The primary outcome was past year major depressive episode at ten-year follow-up. Multivariable logistic regression was conducted, adjusting for the presence of potential confounders.

Results

Risk of depression was significantly greater among those with baseline social strain (OR, 1.99; 95% CI, 1.47–2.70), lack of social support (OR, 1.79; 95% CI, 1.37–2.35), and poor overall relationship quality (OR 2.60; 95% CI, 1.84–3.69). Those with the lowest overall quality of social relationships had more than double the risk of depression (14.0%; 95% CI, 12.0–16.0; p<.001) than those with the highest quality (6.7%; 95% CI, 5.3–8.1; p<.001). Poor quality of relationship with spouse/partner and family each independently increased risk of depression. Social isolation did not predict future depression, nor did it moderate the effect of relationship quality.

Conclusions

Quality of social relationships is a major risk factor for major depression. Depression interventions should consider targeting individuals with low quality of social relationships.     

Arterial Hypertension and Ischemic Heart Disease: Comparison in Epidemiological Studies

Forty cases of gonococcal urethritis were treated with oxytetracycline using various dosage schedules; there were 37 cures and three failures. The most convenient and most effective dosage was found to be 250 mg. oxytetracycline, given as a single intramuscular injection of 5 c.c.A series of 40 patients with non-gono-coccal urethritis was also collected. Two cases of urethritis due to Trichomonas vaginalis and two due to Candida albicans were removed from the series. Of the 36 cases which remained, cure was obtained with the use of oxytetracycline in different dosages in 30 cases; six cases were failures. The dosage which gave the best result in the therapy of non-gonococcal urethritis was 250 mg. oxytetracycline (5 c.c.), given as a single intramuscular injection, plus 250 mg. orally, four times a day for four days.The effectiveness of oxytetracycline in the treatment of urethritis has not decreased.     

SESAME: Scalable, Environment Sensitive Access Management Engine

As computing technology becomes more pervasive and mobile services are deployed, applications will need flexible access control mechanisms. Although lots of researches have been done on access control, these efforts focus on relatively static scenarios where access depends on identity of the subject. They do not address access control issues for pervasive applications where the access privileges of a subject not only depend on its identity but also on its current context and state. In this paper, we present the SESAME dynamic context-aware access control mechanism for pervasive applications. SESAME complements current authorization mechanisms to dynamically grant and adapt permissions to users based on their current context. The underlying dynamic role based access control (DRBAC) model extends the classic role based access control (RBAC). We also present a prototype implementation of SESAME and DRBAC with the Discover computational collaboratory and an experimental evaluation of its overheads. Guangsen Zhang is Ph.D. student in the Department of Electrical and Computer Engineering at Rutgers University. He received his MS from Rutgers University. His research interests include parallel & distributed computing, distributed system security. Manish Parashar is an Associate Professor in the Department of Electrical and Computer Engineering at Rutgers University. His research interests include autonomic computing, parallel & distributed computing, scientific computing, and software engineering.