Anthelmintic Activity of Nauclea diderrichii Leaf Extracts and Fractions Against Adult Haemonchus placei

Background: Nauclea diderrichii is used in West and Central Africa countries for its insecticidal and antiparasitic properties. There is, however, no documentation on its activity against parasitic nematodes.Objectives: This study investigated N. diderrichii leaf extracts and fractions for anthelmintic activity against adult Haemonchus placei, an abomasal parasitic worm that infect cattle.Materials and Method: Pulverized dried leaves of N. diderrichii was defatted using n-hexane, followed by successive extraction using chloroform and acetone. The extracts were evaluated for anthelmintic activity by incubating ten (10) adult H. placei in a range of concentrations (1 ̶ 20 mg/mL) for 3h and then counting the number of confirmed dead worms. The most active extract was subjected to chromatographic fractionation, and the thin layer chromatographic (TLC) profile of the fractions was documented. The dried fractions were then evaluated for anthelmintic activity and anthelmintic data were fitted to a non-linear regression equation (Log [extract or fraction] vs. response; variable slope) to produce best-fit sigmoidal curves and LC50 values computed.Results: Anthelmintic assay shows that acetone extract is worm-active with a best-fit LC50 of 16.24 mg/mL, while the chloroform extract was inactive. Fractionation of the acetone extract yielded three fractions (FA, FB and FC) and TLC profile revealed the various secondary metabolites in the fractions. Of the fractions, only fraction B was active against H. placei with LC50 of 12.24 mg/mL.Conclusion: Acetone extract of N. diderrichii leaf possessed anthelmintic activity against adult H. placei, and could be useful as anthelmintic phytomedicine to deworm cattle. Keywords: Anthelmintic, Haemonchus placei, Nauclea diderrichii, Chromatograph

Effectiveness of Complaint Management in CRM System

Customer Relation Management (CMR) is a tool that has shown prospect even beyond customers’ retention to customers’ attraction. A focus on an aspect of CRM is important to retain customers and also attract customers. The aim of this study was to propose a Complaint Management System that could add more value to CRM in businesses. The research employed the use of secondary data and telephone interview. The study showed that there is a need to re-direct attention/focus in the area of complaint management, in order to facilitate and enhance intelligence in business. Keywords: Complaint Management, Customer Relation Management, Customers’ retentio

A Reformed Information Security Management System (R-ISMS)

An Information Security Management System (ISMS) specifies the instruments and methods that an administration/management level of an institution uses to comprehensibly manage the tasks and activities aimed at achieving information security. ISMS evolved as a systematic and structured approach to managing information following advances in IT infrastructure, services and applications so that they remain secure. While there are various implemented ISMS frameworks, researchers continually try to emphasize and increase human participation in ensuring information security. The aim of this research study is to develop an algorithm-based model to facilitate effective ISMS services for organizations. This algorithm-based ISMS model employed Information Technology General Controls (ITGC) technique as an expansion of the vistas of known ISMS frameworks, to improve information security control in organizations. The purpose of refinement is to make the frameworks more easily understood, implemented, and measured in organizations by stakeholders.Microsoft Office Visio 2010 software was used in designing the reformed model. Bactracking and Branch-and-bound algorithms were used in developing the model. The model utilises the above named methods to address the problem of inadequate management systems for information security. The results of this study showed that, with the level of usability, International Organization for Standardization (ISO) standards are more easily implemented and well recognized by stakeholders (top management, staff, suppliers, customers/clients, regulators) unlike the other security frameworks.  In conclusion, this study showed that R-ISMS is a customized algorithm model that assists organizations to enhance the ability in monitoring the performance of their activities, policies and procedures. Keywords:Information Security Management Systems (ISMSs), Reformed ISMS, International Organization for Standardization/International Electrotechnical Commission (ISO/IEC),  Backtracking / Branch-and-bound algorithms

Risk Assessment Model for Pluvial Flood Prediction Using Fuzzy-Based Classification Technique

Both developed and developing countries are promoting risk management and refining the ability to alleviate the effects of disaster both man-made and natural, which have become a threat to human life and the world’s economy. The variability in climate change, rapid urbanization and fast-growing socio-economic development has naturally increased the risk associated with flooding. A recent report showed that flood have affected more individuals than any other category of disaster in the 21st century with the highest percentage of 43% of all disaster events in 2019 and Africa been the second vulnerable continent after Asia. So, it is highly important to devise a scientific method for flood risk reduction since it cannot be eradicated. Machine learning can improve the risk management. The paper proposes a pluvial flood detection and prediction system based on machine learning techniques. The proposed model will employ a fuzzy rule-based classification approach for pluvial flood risk assessment. Keywords: Machine Learning, Pluvial Flood, Risk, Fuzzy Rule-Based, Prediction DOI: 10.7176/CEIS/12-1-07 Publication date: January 31st 202

Natural diets and length-weight relationship of Brycinus macrolepidotus in lower Ogun River, Akomoje, Ogun state

The natural diets and length-weight relationship of Brycinus macrolepidotus in Lower Ogun River, Nigeria was studied. 124 fish samples were collected twice monthly from February-August, 2015 from catches landed by artisanal fishermen using cast nets and long line. The total length and total body weight of all fish captured were measured and then grouped into sizes. Length-weight relationship was determined using the formular W = aLb. Gut contents were determined using the frequency of occurrence and numerical method. Index of fullness was also determined. Result of stomach content suggests omnivorous feed habit as diet were of plant and animal materials. Stomach fullness was higher during the dry season and onset of the rains than at the peak of the rains. Mean total length and weight of specimens varied from 18.19 ± 1.59 cm and 71.21 ± 15.54 g (juveniles), 34.99 ± 2.80 cm and 142.25 ±34.05 g (subadults) and 24.45 ± 2.53 cm and 301.46±22.67 g (adults) respectively. Length-weight analyses showed negative allometry for all sizes (b<3) and ‘r’ values 0.8252 to 0.9963. The study contributes to documented facts about the species from water bodies with a view of developing its aquaculture

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Background: Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. Methods: The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk–outcome pairs. Pairs were included on the basis of data-driven determination of a risk–outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk–outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk–outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. Findings: Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7–9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4–9·2]), smoking (5·7% [4·7–6·8]), low birthweight and short gestation (5·6% [4·8–6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8–6·0]). For younger demographics (ie, those aged 0–4 years and 5–14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9–27·7]) and environmental and occupational risks (decrease of 22·0% [15·5–28·8]), coupled with a 49·4% (42·3–56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9–21·7] for high BMI and 7·9% [3·3–12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6–1·9) for high BMI and 1·3% (1·1–1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4–78·8) for child growth failure and 66·3% (60·2–72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). Interpretation: Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions. Funding: Bill & Melinda Gates Foundation

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

Detection and prediction of pluvial flood using machine learning techniques

The periodical occurrence of emergency situations represents an important issue for mankind. Over the years, the world at large has experienced multiple misadventures both natural and man-made. A recent report showed that flood have affected more individuals than any other category of disaster in the 21st century with the highest percentage of 43% of all disaster events in 2019 and Africa been the second vulnerable continent after Asia. Handling flood risk with the intention of safety and comfort of the citizens as well as saving their environment is one of the major responsibilities of the leadership in each country especially in flood prone areas. Machine learning predictive analytic applications can improve the risk management. So, it is highly important to devise a scientific method for flood risk reduction since it cannot be eradicated. The paper proposes a pluvial flood detection and prediction system based on machine learning techniques. The proposed model will employ a fuzzy rule-based classification to appraise the performance of the machine learning algorithm on pluvial flood conditioning variables