Challenges of developing electronic catalogue of holdings of marine science libraries in the Western Indian Ocean region

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Assessment of the validity of rapid diagnostic test kits available in the Nigerian market for Mycobacterium tuberculosis

Tuberculosis (TB) is an infectious disease caused by various strains of mycobacteria, usually Mycobacterium tuberculosis. Early diagnosis is important in TB disease control. The use of rapid diagnostic test (RDT) kits drastically reduces the time required for reaching clinical diagnosis and this has been successful in diagnosis of HIV, syphilis and more recently malaria to mention a few. What is the case for RDTs for diagnosis of tuberculosis? Thus, the aim of this study is to evaluate and compare the performances of results produced by different rapid diagnostic test strips available in the Nigerian market for TB. A total of one hundred and eighty-four (184) subjects aged between 12-68 years were recruited for the study. These were referred from the chest clinic with a high index of suspicion of TB. Sputum samples were collected for AFB detection using the Ziehl-Neelsen and Auramine-phenol staining techniques. Blood samples were collected for serology tests using five (5) different rapid diagnostic test kits from different manufacturers, HIV status determination and evaluation of the haematological parameters we carried out. As a result, there were significant differences in the results obtained between AFB tests and serological methods with P<0.01 in all cases. The sensitivity and specificity respectively of the five different kits were 28.6% and 32.0% (Nova), 19.5% and 29.2% (Fistech), 9.1% and 27.1% (Diaspot), 12.4% and 27.7% (Abcon) and 12.4% and 27.7% (Global).finally, findings from this study show that these rapid serological tests are poor in diagnosing tuberculosis and cannot be recommended for use in this environment.© 2015 International Formulae Group. All rights reserved.Keywords: Tuberculosis, rapid diagnostic tests, acid fast bacill

A comparison of South African national HIV incidence estimates: A critical appraisal of different methods

BACKGROUND: The interpretation of HIV prevalence trends is increasingly difficult as antiretroviral treatment programs expand. Reliable HIV incidence estimates are critical to monitoring transmission trends and guiding an effective national response to the epidemic. Methods and FINDINGS: We used a range of methods to estimate HIV incidence in South Africa: (i) an incidence testing algorithm applying the Limiting-Antigen Avidity Assay (LAg-Avidity EIA) in combination with antiretroviral drug and HIV viral load testing; (ii) a modelling technique based on the synthetic cohort principle; and (iii) two dynamic mathematical models, the EPP/Spectrum model package and the Thembisa model. Overall, the different incidence estimation methods were in broad agreement on HIV incidence estimates among persons aged 15-49 years in 2012. The assay-based method produced slightly higher estimates of incidence, 1.72% (95% CI 1.38 - 2.06), compared with the mathematical models, 1.47% (95% CI 1.23 - 1.72) in Thembisa and 1.52% (95% CI 1.43 - 1.62) in EPP/Spectrum, and slightly lower estimates of incidence compared to the synthetic cohort, 1.9% (95% CI 0.8 - 3.1) over the period from 2008 to 2012. Among youth aged 15-24 years, a declining trend in HIV incidence was estimated by all three mathematical estimation methods. CONCLUSIONS: The multi-method comparison showed similar levels and trends in HIV incidence and validated the estimates provided by the assay-based incidence testing algorithm. Our results confirm that South Africa is the country with the largest number of new HIV infections in the world, with about 1 000 new infections occurring each day among adults aged 15-49 years in 2012

Accelerating ocean species discovery and laying the foundations for the future of marine biodiversity research and monitoring

This is the final version. Available from Frontiers Media via the DOI in this record. Ocean Census is a new Large-Scale Strategic Science Mission aimed at accelerating the discovery and description of marine species. This mission addresses the knowledge gap of the diversity and distribution of marine life whereby of an estimated 1 million to 2 million species of marine life between 75% to 90% remain undescribed to date. Without improved knowledge of marine biodiversity, tackling the decline and eventual extinction of many marine species will not be possible. The marine biota has evolved over 4 billion years and includes many branches of the tree of life that do not exist on land or in freshwater. Understanding what is in the ocean and where it lives is fundamental science, which is required to understand how the ocean works, the direct and indirect benefits it provides to society and how human impacts can be reduced and managed to ensure marine ecosystems remain healthy. We describe a strategy to accelerate the rate of ocean species discovery by: 1) employing consistent standards for digitisation of species data to broaden access to biodiversity knowledge and enabling cybertaxonomy; 2) establishing new working practices and adopting advanced technologies to accelerate taxonomy; 3) building the capacity of stakeholders to undertake taxonomic and biodiversity research and capacity development, especially targeted at low- and middle-income countries (LMICs) so they can better assess and manage life in their waters and contribute to global biodiversity knowledge; and 4) increasing observational coverage on dedicated expeditions. Ocean Census, is conceived as a global open network of scientists anchored by Biodiversity Centres in developed countries and LMICs. Through a collaborative approach, including co-production of science with LMICs, and by working with funding partners, Ocean Census will focus and grow current efforts to discover ocean life globally, and permanently transform our ability to document, describe and safeguard marine species.Nippon Foundatio

Copyright legislation and the prevalence of book piracy in Nigeria: A case study of cross river state.

The study examined Copyright legislation and the prevalence of Book Piracy in Cross River State, Nigeria. Survey research design was used in the study whose population consisted of book vendors in Cross River State and members of the general public who willingly agreed to participate in the study.Questionnaire and interview methods were the instruments used for data collection.The data collated were analysed using, Pearson’s Correlation, independent t-test and simple percentages. The study found among other things that: poor enforcement of copyright violation and the low cost of producing pirated books were some the reasons why book piracy continue to thrive in Nigeria. Other reasons included:trading in pirated books is a source of livelihood (14.3%), pirates collaborate with foreign agents (31.7%), modern technology favour quick and easy production of pirated books(20.3%), pirated books are more affordable, (19%) and Nigeria’s borders are porous (14.7%). This implies that the books were carried into the country either through the see ports or through the Airports or through other unusual routes. It was recommended in the study that, the Federal Government of Nigeria should look inwards by carrying out an internal appraisal of its fight against piracy as well as the security Apparatus used in the fight against book piracy

Testing algorithm for recent infection.

<p>The figure shows the multi-assay algorithm that was applied for the 2012 HIV incidence estimation on confirmed HIV-positive samples from individuals 2 years and older. The algorithm used the Limiting-Antigen Avidity assay (LAg-Avidity EIA) in combination with testing for antiretroviral drugs (ARV) and HIV-1 viral load (VL copies/mL).</p

HIV incidence by age group and estimation method, South Africa 2012.

<p>2012 HIV incidence rates (males and females combined) for the age groups 15–49 years, 15–24 years and 25–49 years provided by the four different estimation methods (LAg-Avidity/ARV/VL, Synthetic cohort, EPP/Spectrum, Thembisa). The error bars show the 95% uncertainty interval.</p