Need and scope of global partnership on public health research

BACKGROUND:A large and growing body of "big data" is generated by internet search engines, such as Google. Because people often search for information about public health and medical issues, researchers may be able to use search engine data to monitor and predict public health problems, such as HIV. We sought to assess the feasibility of using Google search data to analyze and predict new HIV diagnoses cases in the United States. METHODS AND FINDINGS:From 2007 to 2014, we collected search volume data on HIV-related Google search keywords across the United States. State-level new HIV diagnoses data were collected from the Centers for Disease Control and Prevention (CDC) and AIDSVu.org. We developed a negative binomial model to predict HIV cases using a subset of significant predictor keywords identified by LASSO. The Google search data were combined with state-level HIV case reports provided by the CDC. We use historical data to train the model and predict new HIV diagnoses from 2011 to 2014, with an average R2 value of 0.99 between predicted versus actual cases, and average root-mean-square error (RMSE) of 108.75. CONCLUSIONS:Results indicate that Google Trends is a feasible tool to predict new cases of HIV at the state level. We discuss the implications of integrating visualization maps and tools based on these models into public health and HIV monitoring and surveillance

Biocontrol Potential of Forest Tree Endophytes

Peer reviewe

Identification of microbial signatures linked to oilseed rape yield decline at the landscape scale

Background: The plant microbiome plays a vital role in determining host health and productivity. However, we lack real-world comparative understanding of the factors which shape assembly of its diverse biota, and crucially relationships between microbiota composition and plant health. Here we investigated landscape scale rhizosphere microbial assembly processes in oilseed rape (OSR), the UK’s third most cultivated crop by area and the world's third largest source of vegetable oil, which suffers from yield decline associated with the frequency it is grown in rotations. By including 37 conventional farmers’ fields with varying OSR rotation frequencies, we present an innovative approach to identify microbial signatures characteristic of microbiomes which are beneficial and harmful to the host. Results: We show that OSR yield decline is linked to rotation frequency in real-world agricultural systems. We demonstrate fundamental differences in the environmental and agronomic drivers of protist, bacterial and fungal communities between root, rhizosphere soil and bulk soil compartments. We further discovered that the assembly of fungi, but neither bacteria nor protists, was influenced by OSR rotation frequency. However, there were individual abundant bacterial OTUs that correlated with either yield or rotation frequency. A variety of fungal and protist pathogens were detected in roots and rhizosphere soil of OSR, and several increased relative abundance in root or rhizosphere compartments as OSR rotation frequency increased. Importantly, the relative abundance of the fungal pathogen Olpidium brassicae both increased with short rotations and was significantly associated with low yield. In contrast, the root endophyte Tetracladium spp. showed the reverse associations with both rotation frequency and yield to O. brassicae, suggesting that they are signatures of a microbiome which benefits the host. We also identified a variety of novel protist and fungal clades which are highly connected within the microbiome and could play a role in determining microbiome composition. Conclusions: We show that at the landscape scale, OSR crop yield is governed by interplay between complex communities of both pathogens and beneficial biota which is modulated by rotation frequency. Our comprehensive study has identified signatures of dysbiosis within the OSR microbiome, grown in real-world agricultural systems, which could be used in strategies to promote crop yield. [MediaObject not available: see fulltext.

Knowledge regarding postexposure prophylaxis of HIV among nurses

Puja Sharma Dhital,1 Sarojini Sharma,2 Pratik Poudel,3 Pankaj Raj Dhital4 1Adult Health Nursing, Nepal Polytechnic Institute, College of Nursing, 2Adult Health Nursing, BP Koirala Memorial Cancer Hospital, 3Department of Radiology, College of Medical Sciences, Bharatpur, 4Department of Agricultural Extension and Rural Sociology, Agriculture and Forestry University, Rampur, Nepal Abstract: Fifty nurses working in BP Koirala Memorial Cancer Hospital, Bharatpur, were selected by probability simple random sampling technique for determining the knowledge level about postexposure prophylaxis (PEP) of HIV among nurses during 2014. A descriptive design, semistructured self-administered questionnaire was used for the study. The study showed that 48% of respondents had knowledge on the meaning of PEP, only 39.39% respondents were aware of the first aid management getting needle prick injury, 60% were aware of the best time to start PEP of HIV and 56% respondents had knowledge about the time schedule of HIV test after exposure. Although the respondents answered most of the questions correctly, they had knowledge deficit in certain areas. The respondents’ knowledge in this regard needs to be improved with time-to-time awareness program and periodic training, which ultimately helps to decrease the transmission of disease and reduces mortality and morbidity. Keywords: needle prick injury, transmission, PEP, HIV&nbsp

Assessment of quality of life in patients undergoing hemodialysis using WHOQOL-BREF questionnaire: a multicenter study

Utsav Joshi, Roshan Subedi, Prakash Poudel, Prajwol Ram Ghimire, Sagar Panta, Mahesh Raj Sigdel  Department of Internal Medicine, Tribhuvan University, Institute of Medicine, Maharajgunj, Kathmandu, Nepal Background: Assessment of quality of life (QOL) of patients with end-stage renal disease has become increasingly important, both in order to evaluate the influence of the disease on patients and the type of renal replacement therapy they require. Therefore, in this study, we aimed to assess QOL in patients undergoing hemodialysis and evaluated the effects of various sociodemographic factors affecting QOL of such patients in Nepal. Methods: A cross-sectional study was conducted among 150 patients with chronic kidney ­disease undergoing hemodialysis at two major centers in Nepal. Demographic data including age, sex, ethnicity, educational status, marital status, employment, income, duration of illness, and duration on hemodialysis were collected. QOL was assessed using the World Health Organization Quality of life (WHOQOL-BREF) questionnaire. Four domains (­physical, psychological, social, and environmental) and two items (overall perception of QOL and health) of the WHOQOL‑BREF were the primary end points of this study. Bivariate relationship between sociodemographic factors and QOL scores were analyzed using independent samples t-test and one-way analysis of variance. Multiple linear regression analysis was performed to determine independent predictors of QOL. Results: Following QOL scores were recorded: environmental domain (53.17±15.59), psychological domain (51.23±18.61), social domain (49.86±21.64), and physical domain (45.93±16.90). Older age was associated with a better QOL score in the social domain (p=0.005), and employed patients scored better in the environmental domain (p=0.019). Unemployed patients and those of the Terai/Madhesi ethnic group had significantly low scores in overall perception of health (p<0.05) as compared to other groups. Low income status and increased duration on hemodialysis were found to be the only independent negative predictors of QOL in patients with hemodialysis (p<0.05). Conclusion: Patients with chronic kidney disease on dialysis had overall low QOL scores in all four domains. Age, ethnicity, employment status, income, and duration on hemodialysis affected one or more domains of QOL in such patients. Low income status and increased duration on hemodialysis were the only independent negative predictors of QOL of patients on maintenance hemodialysis. Keywords: quality of life, hemodialysis, WHOQOL-BREF, chronic kidney disease&nbsp