Knowledge, attitude and practice of hepatitis (B) among healthcare workers in relation to their vaccination status in Khartoum, Sudan, 2015: a cross-sectional study

Background: Hepatitis B is a serious chronic infection of the liver and caused by hepatitis B virus. It is an endemic disease in Sudan. Healthcare workers are occupationally more prone to acquire the disease. Evaluation of their knowledge, attitude and practice and their vaccination status, are very important in the control of the disease. The aim of this study was to assess the knowledge, attitude, and practiceof healthcare workers towards hepatitis B and their vaccination status. Materials and Methods: In total, 372 healthcare workers were enrolled in the study, which was conducted at 10 public hospitals in Khartoum state during July-August 2015. After taking written informed consent from the Khartoum State Research Department, self-administrated questionnaires were distributed to the healthcareworkers. The KAP score was the sum of the three categories, which is 32 points, and the mean was then obtained. Results: The study revealed that the respondents’ mean scores of knowledge, attitude, and practice (KAP) were 18.4, 2.14 and 2.49, respectively. The study also showed that doctors have the highest KAP score in comparison with other occupations. Doctors are the least occupational category that uses gloves when dealing with patient’s blood. The KAP score was found higher among vaccinated healthcare workers 27.4% in comparison to unvaccinated ones, That yield to a significant the association between KAP score and vac-cination status (p-value0.007).Conclusions: This study concluded that, there is a positive association between the level of vaccination among Health care workers and their Knowledge, attitude and practice of hepatitis B virus. Further studies would be recommended on larger population

ZAP-70 Expression in B-Chronic Lymphocytic Leukemia in Sudanese Patients

Background: Chronic lymphocytic leukemia is the most common form of leukemia in adults. The prognostic impact of ZAP-70 in CLL has been reported in several studies. The aim of conducting this study was to investigate the prevalence of ZAP-70 in Sudanese patients with chronic lymphocytic leukemia attending Khartoum Oncology Hospital.Materials and Methods: A total of 93 newly diagnosed patients with chronic lymphocytic leukemia were enrolled in this study. Lymphadenopathy and organomegaly were assessed in all participants using clinical examination, chest radiography, and abdominal ultrasound. Full blood count was carried out by an automated hematology analyzer. ZAP-70 was evaluated using flowcytometry on peripheral blood samples. ZAP-70 was defined as positive expression at a cutoff level of 20%. Results: There were 63 (67.7%) males and 30 (32.3%) females and the median age of the group was 63 years; 68 patients (73.1%) were presented with anemia and 66(70.9%) had lymphadenopath;y. Majority of our patients 35 (37.6%) were in Rai stage IV. ZAP-70 positivity was detected in 21 patients (22.6%). There was no statistically significant association of ZAP-70 with age, sex, lymphadenopathy, organomegaly, hemoglobin concentration, total white blood cell count, platelet count and Rai staging system (p-value > 0.05). Conclusion: Only 21 patients (22.6%) were ZAP-70 positive. There was no association between ZAP-70 and the study variables. Further studies to evaluate prognostic role of ZAP-70 in Sudanese patients with chronic lymphocytic leukemia are recommended

Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning

Recent evidence suggests that, in some foci, elimination of onchocerciasis from Africa may be feasible with mass drug administration (MDA) of ivermectin. To achieve continental elimination of transmission, mapping surveys will need to be conducted across all implementation units (IUs) for which endemicity status is currently unknown. Using boosted regression tree models with optimised hyperparameter selection, we estimated environmental suitability for onchocerciasis at the 5 × 5-km resolution across Africa. In order to classify IUs that include locations that are environmentally suitable, we used receiver operating characteristic (ROC) analysis to identify an optimal threshold for suitability concordant with locations where onchocerciasis has been previously detected. This threshold value was then used to classify IUs (more suitable or less suitable) based on the location within the IU with the largest mean prediction. Mean estimates of environmental suitability suggest large areas across West and Central Africa, as well as focal areas of East Africa, are suitable for onchocerciasis transmission, consistent with the presence of current control and elimination of transmission efforts. The ROC analysis identified a mean environmental suitability index of 071 as a threshold to classify based on the location with the largest mean prediction within the IU. Of the IUs considered for mapping surveys, 502% exceed this threshold for suitability in at least one 5 × 5-km location. The formidable scale of data collection required to map onchocerciasis endemicity across the African continent presents an opportunity to use spatial data to identify areas likely to be suitable for onchocerciasis transmission. National onchocerciasis elimination programmes may wish to consider prioritising these IUs for mapping surveys as human resources, laboratory capacity, and programmatic schedules may constrain survey implementation, and possibly delaying MDA initiation in areas that would ultimately qualify.SUPPORTING INFORMATION : FIGURE S1. Data coverage by year. Here we visualise the volume of data used in the analysis by country and year. Larger circles indicate more data inputs. ‘NA’ indicates records for which no year was reported (eg, ‘pre-2000’). https://doi.org/10.1371/journal.pntd.0008824.s001FIGURE S2. Illustration of covariate values for year 2000. Maps were produced using ArcGIS Desktop 10.6. https://doi.org/10.1371/journal.pntd.0008824.s002FIGURE S3. Environmental suitability of onchocerciasis including locations that have received MDA for which no pre-intervention data are available. This plot shows suitability predictions from green (low = 0%) to pink (high = 100%), representing those areas where environmental conditions are most similar to prior pathogen detections. Countries in grey with hatch marks were excluded from the analysis based on a review of national endemicity status. Areas in grey only represent locations masked due to sparse population. Maps were produced using ArcGIS Desktop 10.6 and shapefiles to visualize administrative units are available at https://espen.afro.who.int/tools-resources/cartography-database. https://doi.org/10.1371/journal.pntd.0008824.s003FIGURE S4. Environmental suitability prediction uncertainty including locations that have received MDA for which no pre-intervention data are available. This plot shows uncertainty associated with environmental suitability predictions colored from blue to red (least to most uncertain). Countries in grey with hatch marks were excluded from the analysis based on a review of national endemicity status. Areas in grey only represent locations masked due to sparse population. Maps were produced using ArcGIS Desktop 10.6 and shapefiles to visualize administrative units are available at https://espen.afro.who.int/tools-resources/cartography-database. https://doi.org/10.1371/journal.pntd.0008824.s004FIGURE S5. Environmental suitability of onchocerciasis excluding morbidity data. This plot shows suitability predictions from green (low = 0%) to pink (high = 100%), representing those areas where environmental conditions are most similar to prior pathogen detections. Countries in grey with hatch marks were excluded from the analysis based on a review of national endemicity status. Areas in grey only represent locations masked due to sparse population. Maps were produced using ArcGIS Desktop 10.6 and shapefiles to visualize administrative units are available at https://espen.afro.who.int/tools-resources/cartography-database. https://doi.org/10.1371/journal.pntd.0008824.s005FIGURE S6. Environmental suitability prediction uncertainty excluding morbidity data. This plot shows uncertainty associated with environmental suitability predictions colored from blue to red (least to most uncertain). Countries in grey with hatch marks were excluded from the analysis based on a review of national endemicity status. Areas in grey only represent locations masked due to sparse population. https://doi.org/10.1371/journal.pntd.0008824.s006FIGURE S7. Covariate Effect Curves for all onchocerciasis occurrences (measures of infection prevalence and disability). On the right set of axes we show the frequency density of the occurrences taking covariate values over 20 bins of the horizontal axis. The left set of axes shows the effect of each on the model, where the mean effect is plotted on the black line and its uncertainty is represented by the upper and lower confidence interval bounds plotted in dark grey. The figures show the fit per covariate relative to the data that correspond to specific values of the covariate. https://doi.org/10.1371/journal.pntd.0008824.s007FIGURE S8. Covariate Effect Curves for all onchocerciasis occurrences (measures of infection prevalence and disability). On the right set of axes we show the frequency density of the occurrences taking covariate values over 20 bins of the horizontal axis. The left set of axes shows the effect of each on the model, where the mean effect is plotted on the black line and its uncertainty is represented by the upper and lower confidence interval bounds plotted in dark grey. https://doi.org/10.1371/journal.pntd.0008824.s008FIGURE S9. ROC analysis for threshold. Results of the area under the receiver operating characteristic (ROC) curve analysis are presented below, with false positive rate (FPR) on the x-axis and true positive rate (TPR) on the y-axis. The red dot on the curve represents the location on the curve that corresponds to a threshold that most closely agreed with the input data. For each of the 100 BRT models, we estimated the optimal threshold that maximised agreement between occurrence inputs (considered true positives) and the mean model predictions as 0·71. https://doi.org/10.1371/journal.pntd.0008824.s009TABLE S1. Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER) checklist. https://doi.org/10.1371/journal.pntd.0008824.s010TABLE S2. Total number of occurrence data classified as point and polygon inputs by diagnostic. We present the total number of occurrence points extracted from the input data sources by diagnostic type. ‘Other diagnostics’ include: DEC Patch test; Knott’s Method (Mazotti Test); 2 types of LAMP; blood smears; and urine tests. https://doi.org/10.1371/journal.pntd.0008824.s011TABLE S3. Total number of occurrence data classified as point and polygon inputs by location. https://doi.org/10.1371/journal.pntd.0008824.s012TABLE S4. Covariate information. https://doi.org/10.1371/journal.pntd.0008824.s013TEXT S1. Details outlining construction of occurrence dataset. https://doi.org/10.1371/journal.pntd.0008824.s014TEXT S2. Covariate rationale. https://doi.org/10.1371/journal.pntd.0008824.s015TEXT S3. Boosted regression tree methodology additional details. https://doi.org/10.1371/journal.pntd.0008824.s016APPENDIX S1. Country-level maps and data results. Maps were produced using ArcGIS Desktop 10.6 and shapefiles to visualize administrative units are available at https://espen.afro.who.int/tools-resources/cartography-database. https://doi.org/10.1371/journal.pntd.0008824.s017This work was primarily supported by a grant from the Bill & Melinda Gates Foundation OPP1132415 (SIH). Financial support from the Neglected Tropical Disease Modelling Consortium (https://www.ntdmodelling.org/), which is funded by the Bill & Melinda Gates Foundation (grants No. OPP1184344 and OPP1186851), and joint centre funding (grant No. MR/R015600/1) by the UK Medical Research Council (MRC) and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement which is also part of the EDCTP2 programme supported by the European Union (MGB).The Neglected Tropical Disease Modelling Consortium which is funded by the Bill & Melinda Gates Foundation, the UK Medical Research Council (MRC) and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement which is also part of the EDCTP2 programme supported by the European Union (MGB).http://www.plosNTDS.orgam2022Medical Microbiolog

Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning

Recent evidence suggests that, in some foci, elimination of onchocerciasis from Africa may be feasible with mass drug administration (MDA) of ivermectin. To achieve continental elimination of transmission, mapping surveys will need to be conducted across all implementation units (IUs) for which endemicity status is currently unknown. Using boosted regression tree models with optimised hyperparameter selection, we estimated environmental suitability for onchocerciasis at the 5 × 5-km resolution across Africa. In order to classify IUs that include locations that are environmentally suitable, we used receiver operating characteristic (ROC) analysis to identify an optimal threshold for suitability concordant with locations where onchocerciasis has been previously detected. This threshold value was then used to classify IUs (more suitable or less suitable) based on the location within the IU with the largest mean prediction. Mean estimates of environmental suitability suggest large areas across West and Central Africa, as well as focal areas of East Africa, are suitable for onchocerciasis transmission, consistent with the presence of current control and elimination of transmission efforts. The ROC analysis identified a mean environmental suitability index of 0.71 as a threshold to classify based on the location with the largest mean prediction within the IU. Of the IUs considered for mapping surveys, 50.2% exceed this threshold for suitability in at least one 5×5-km location. The formidable scale of data collection required to map onchocerciasis endemicity across the African continent presents an opportunity to use spatial data to identify areas likely to be suitable for onchocerciasis transmission. National onchocerciasis elimination programmes may wish to consider prioritising these IUs for mapping surveys as human resources, laboratory capacity, and programmatic schedules may constrain survey implementation, and possibly delaying MDA initiation in areas that would ultimately qualify

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

Abstract 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

Comparison between Mixed Binary classification and Voting Technique for Active User Authentication using Mouse Dynamics

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Detection of multidrug resistant Mycobacterium tuberculosis in Tabuk, Saudi Arabia, using Genotype MTBDRplus

Background: The global increase in the rates of multidrug-resistant (MDR) tuberculosis (TB) has made the timely identification of resistant Mycobacterium tuberculosis complex strains an important emergence to achieve effective disease management and to prevent their spread in the community. The present study aimed to determine the MDR-TB in Tabuk province, north of the Kingdom of Saudi Arabia. Methods: The GenoType MTBDRplus assay was used to determine the mutations associated with isoniazid (INH) and rifampicin (RIF) resistances. A total number of 61 confirmed M. tuberculosis positive-sputum samples were scanned for the mutation in the rpoB, inhA, and katG genes. Results: The present study revealed that 67.2% of the samples were susceptible, 29.5% were monoresistant, and 3.3% were MDR. Conclusions: The monoresistant showed 26.2% for INH and 3.3% for RIF. The early detection of MDR could guide the starting of appropriate regimen of treatment

Solution of Integral Differential Equations by New Double Integral Transform (Laplace–Sumudu Transform)

The primary purpose of this research is to demonstrate an efficient replacement double transform named the Laplace–Sumudu transform (DLST) to unravel integral differential equations. The theorems handling fashionable properties of the Laplace–Sumudu transform are proved; the convolution theorem with an evidence is mentioned; then, via the usage of these outcomes, the solution of integral differential equations is built

Investigating energy policies to boost grid-connected rooftop solar PV in Sudan

Acknowledgements: We would like to thank the Sudan Ministry of Energy and Mining, the Sudanese Electricity Distribution Company (SEDC) and the National Centre for Research (in Sudan) for providing data for this paper. No external funding was received for this research.Abstract Grid-connected rooftop solar photovoltaic (PV) systems can reduce the energy demand from the grid and significantly increase the power available to it. However, rooftop solar PV has not yet been widely adopted in many sub-Saharan African countries, such as Sudan, although they are endowed with high solar radiation and in dire need of additional power. This paper investigates risks and policies to increase grid-connected rooftop solar PV adoption in Sudan. A simplified United Nations Development Program Derisking Renewable Energy Investment framework is adopted to investigate this over three stages. For Stage 1, a list of risks and barriers was produced based on a literature review of solar PV studies in Sudan and interviews with nine stakeholders. Affordability was the risk most often mentioned (eight times from nine interviewees), followed by concerns about poor utility grid infrastructure. For Stage 2, policy de-risking instruments and financial de-risking instruments were listed to overcome the barriers. These include the introduction of net metering, the use of a third-party organization to monitor policy implementation, upgrade of the grid infrastructure, public awareness campaigns and energy-saving schemes. For Stage 3, the levelized cost of electricity was estimated for a typical 2-kW rooftop PV system without policies (0.11 $/kWh) and with a net-metering policy (0.07$/kWh).</jats:p

Investigating energy policies to boost grid-connected rooftop solar PV in Sudan

Grid-connected rooftop solar photovoltaic (PV) systems can reduce the energy demand from the grid and significantly increase the power available to it. However, rooftop solar PV has not yet been widely adopted in many sub-Saharan African countries, such as Sudan, although they are endowed with high solar radiation and in dire need of additional power. This paper investigates risks and policies to increase grid-connected rooftop solar PV adoption in Sudan. A simplified United Nations Development Program Derisking Renewable Energy Investment framework is adopted to investigate this over three stages. For Stage 1, a list of risks and barriers was produced based on a literature review of solar PV studies in Sudan and interviews with nine stakeholders. Affordability was the risk most often mentioned (eight times from nine interviewees), followed by concerns about poor utility grid infrastructure. For Stage 2, policy de-risking instruments and financial de-risking instruments were listed to overcome the barriers. These include the introduction of net metering, the use of a third-party organization to monitor policy implementation, upgrade of the grid infrastructure, public awareness campaigns and energy-saving schemes. For Stage 3, the levelized cost of electricity was estimated for a typical 2-kW rooftop PV system without policies (0.11 $/kWh) and with a net-metering policy (0.07$/kWh)