Assessment of the knowledge, attitude, and practice related to visceral leishmaniasis among residents of Al-Suwaira city, Wasit Governorate, Middle East of Iraq

Introduction: It is important to assess the knowledge, attitudes, and practice (KAP) towards visceral leishmaniasis (VL) to implement an effective control program. Hence, this study aimed to shed light in KAP among residents at Al-Suwaira city, Wasit Governorate, Middle East of Iraq. Methods: During March to May 2021, a cross-sectional study was done on 121 randomly selected residents. A normal self-administered questionnaire was used to measure the KAP. The results were expressed using descriptive analysis. Results: Overall, participants indicated average knowledge towards VL. However, the incubation period of VL (23.9%), the symptoms of VL (57.9%), and the diseases' transmission ways (54.5%) were recognized as knowledge gaps. The participants had favorable attitude towards VL, as majority of them (more than 70.0%) agreed that VL causes health problems in the local populations and local communities should be actively involved in the fight against VL. Also, majority of the participants agreed that VL is a treatable. Regarding practice towards VL, 110 (90.9%) participants had used preventive measures against sand fly bites. The majority of people (44.6%) chose cleanliness as a disease-prevention technique. The main sources of information used by participants to educate themselves about the condition were the internet (57.0%) and television (19.8%). Conclusion: Overall, the participants had good knowledge, positive attitudes, and good practice when it came to VL prevention. However, there were some gaps. Hence, it is recommended that knowledge-based strategies be strengthened and rigorously rolled out in order to raise awareness among the residents of the region

PARAMETRIC STUDY OF LAMINAR FREE CONVECTION IN INCLINED POROUS ANNULUS WITH FINS ON THE INNER CYLINDER

An experimental and numerical study has been carried out to investigate the heat transfer by natural convection in a three dimensional annulus enclosure filled with porous media (silica sand) between two inclined concentric cylinders with (and without) annular fins attached to the inner cylinder under steady state condition; The experiments were carried out for a range of modified Rayleigh number (0.2 ≤Ra*≤ 11) and extended to Ra* =500 for numerical study, annulus inclination angle of (δ = 0˚, 30˚, 60˚ and 90˚). The numerical study was to write the governing equation under an assumptions used Darcy law and Boussinesq’s approximation and then solved numerically using finite difference approximation. It was found that the average Nusselt number depends on (Ra*, Hf, δ and Rr) and the maximum value of the local Nusselt number for vertical cylinder is about two times as large as that of the horizontal case. The results showed that, increasing of fin length increases the heat transfer rate for any fins pitch unless the area of the inner cylinder exceeds that of the outer one, then the heat will be stored in the porous media. A correlation for Nu in terms of Ra, Rr and δ, has been developed for inner cylinder. A comparison was made between the results of the present work and with other researches for the case without fins and excellent agreement was obtained and reveals deviation less than 5 % for average Nusselt number

Qualitative behavior of a highly non-linear Cutaneous Leishmania epidemic model under convex incidence rate with real data

In the context of this investigation, we introduce an innovative mathematical model designed to elucidate the intricate dynamics underlying the transmission of Anthroponotic Cutaneous Leishmania. This model offers a comprehensive exploration of the qualitative characteristics associated with the transmission process. Employing the next-generation method, we deduce the threshold value $R_0$ for this model. We rigorously explore both local and global stability conditions in the disease-free scenario, contingent upon $R_0$ being less than unity. Furthermore, we elucidate the global stability at the disease-free equilibrium point by leveraging the Castillo-Chavez method. In contrast, at the endemic equilibrium point, we establish conditions for local and global stability, when $R_0$ exceeds unity. To achieve global stability at the endemic equilibrium, we employ a geometric approach, a Lyapunov theory extension, incorporating a secondary additive compound matrix. Additionally, we conduct sensitivity analysis to assess the impact of various parameters on the threshold number. Employing center manifold theory, we delve into bifurcation analysis. Estimation of parameter values is carried out using least squares curve fitting techniques. Finally, we present a comprehensive discussion with graphical representation of key parameters in the concluding section of the paper

Knowledge, attitude, and hygiene practices of food handlers related to food safety in Al-Suwaira City, Wasit Province in Iraq

Background and Aim: Food safety and hygiene are global health concerns, particularly in underprivileged nations, due to the increased incidence of foodborne diseases (FBDs) and associated mortality. This study aimed to evaluate the food handlers’ knowledge, attitude, and hygiene practices toward food safety in Al-Suwaira City, Wasit governorate, Iraq. Materials and Methods: In this cross-sectional study, researchers interviewed 130 food handlers to assess their knowledge, attitude, and hygiene regarding food safety in Al-Suwaira, Wasit governorate, Middle Eastern Iraq, from October 2022 to March 2023. The data regarding their age, sex, place of residence, education, employment history, marital status, and monthly income were collected through a questionnaire, as were details on their knowledge, attitudes, and hygiene habits about food safety. Results: Overall, most participants demonstrated poor knowledge of food hygiene and preservation but showed good knowledge of personal hygiene. Knowledge gaps were identified about the healthy ways to clean and use cooking utensils (35.38%), storage of food in the refrigerator (33.85%), and the possible exposure to foodborne pathogens when utensils are reused to cook vegetables and meat (12.31%). Nearly all participants in this study had positive attitudes toward food safety. Most participants (n = 100, 76.7%) agreed that separating raw and cooked food is the best way to avoid spreading germs. Moreover, 109 respondents (83.85%) agreed that washing hands before preparing food efficiently reduces the spread of FBDs. Furthermore, 117 participants (90%) disagreed that disposing of expired perishable foods is necessary, while 91.54% disagreed that monitoring meals for cleanliness and health is important. Our findings showed that 57.15% of the participants had low-to-intermediate competence in food safety procedures, such as avoiding cross-contamination, checking food temperatures, and washing hands thoroughly before and after handling food. Conclusion: The participants in this study exhibited poor compliance and awareness of food safety procedures and practices, respectively. Therefore, educational opportunities and training are necessary to enhance their knowledge, attitudes, and cleanliness levels

A scale conjugate neural network learning process for the nonlinear malaria disease model

The purpose of this work is to provide a stochastic framework based on the scale conjugate gradient neural networks (SCJGNNs) for solving the malaria disease model of pesticides and medication (MDMPM). The host and vector populations are divided in the mathematical form of the malaria through the pesticides and medication. The stochastic SCJGNNs procedure has been presented through the supervised neural networks based on the statics of validation (12%), testing (10%), and training (78%) for solving the MDMPM. The optimization is performed through the SCJGNN along with the log-sigmoid transfer function in the hidden layers along with fifteen numbers of neurons to solve the MDMPM. The accurateness and precision of the proposed SCJGNNs is observed through the comparison of obtained and source (Runge-Kutta) results, while the small calculated absolute error indicate the exactitude of designed framework based on the SCJGNNs. The reliability and consistency of the SCJGNNs is observed by using the process of correlation, histogram curves, regression, and function fitness

The relation between Parkinson’s disease and non-steroidal anti-inflammatories; a systematic review and meta-analysis

Background: Parkinson’s disease (PD) is a neurological condition that typically shows up with aging. It is characterized by generalized slowness of movement, resting tremor or stiffness, and bradykinesia. PD patients’ brains mostly exhibit an increase in inflammatory mediators and microglial response. Nevertheless, a variety of non-steroidal anti-inflammatory medications (NSAIDS) offered neuroprotection in animal models and preclinical trials.Aim: The current systematic review and meta-analysis were designed to try to resolve the debate over the association of NSAID use with the development of PD because the results of several studies were somehow contradictory.Methods: An intense search was performed on Scopus, PubMed, and Web of Science databases for articles relating the incidence of PD to the use of NSAIDs. Statistical analysis of the included studies was carried out using Review Manager version 5.4.1 by random effect model. The outcome was identified as the development of PD in patients who were on NSAIDs, ibuprofen only, aspirin only, and non-aspirin NSAIDs. This was analyzed using pooled analysis of odds ratio (OR) at a significance level of ≤0.05 and a confidence level of 95%. A statistically significant decreased risk of PD was observed in patients taking NSAIDs, Ibuprofen, and non-aspirin NSAIDs.Results: The ORs of PD occurrence in patients who took NSAIDs, Ibuprofen, and non-aspirin NSAIDs were 0.88 [95% CI (0.8–0.97), p = 0.01], 0.73 [95% CI (0.53–1), p = 0.05] and 0.85 [95% CI (0.75–0.97), p = 0.01]. Meanwhile, the risk of PD in patients who took aspirin was not statistically significant.Conclusion: In conclusion, Ibuprofen, non-aspirin NSAIDs, and other types of NSAIDs could be associated with a reduction in PD risk. However, there was no association between aspirin intake and the development of PD

Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity

The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. The Boolean features selected by these logistic models were combined into an Integrated PolyGenic Score that offers a synthetic and interpretable index for describing the contribution of host genetics in COVID-19 severity, as demonstrated through testing in several independent cohorts. Selected features belong to ultra-rare, rare, low-frequency, and common variants, including those in linkage disequilibrium with known GWAS loci. Noteworthily, around one quarter of the selected genes are sex-specific. Pathway analysis of the selected genes associated with COVID-19 severity reflected the multi-organ nature of the disease. The proposed model might provide useful information for developing diagnostics and therapeutics, while also being able to guide bedside disease management. © 2021, The Author(s)

Exome-wide association study to identify rare variants influencing COVID-19 outcomes : Results from the Host Genetics Initiative

Publisher Copyright: Copyright: © 2022 Butler-Laporte et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75–10.05, p = 5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights.Peer reviewe

Global prevalence and genotype distribution of hepatitis C virus infection in 2015 : A modelling study

Publisher Copyright: © 2017 Elsevier LtdBackground The 69th World Health Assembly approved the Global Health Sector Strategy to eliminate hepatitis C virus (HCV) infection by 2030, which can become a reality with the recent launch of direct acting antiviral therapies. Reliable disease burden estimates are required for national strategies. This analysis estimates the global prevalence of viraemic HCV at the end of 2015, an update of—and expansion on—the 2014 analysis, which reported 80 million (95% CI 64–103) viraemic infections in 2013. Methods We developed country-level disease burden models following a systematic review of HCV prevalence (number of studies, n=6754) and genotype (n=11 342) studies published after 2013. A Delphi process was used to gain country expert consensus and validate inputs. Published estimates alone were used for countries where expert panel meetings could not be scheduled. Global prevalence was estimated using regional averages for countries without data. Findings Models were built for 100 countries, 59 of which were approved by country experts, with the remaining 41 estimated using published data alone. The remaining countries had insufficient data to create a model. The global prevalence of viraemic HCV is estimated to be 1·0% (95% uncertainty interval 0·8–1·1) in 2015, corresponding to 71·1 million (62·5–79·4) viraemic infections. Genotypes 1 and 3 were the most common cause of infections (44% and 25%, respectively). Interpretation The global estimate of viraemic infections is lower than previous estimates, largely due to more recent (lower) prevalence estimates in Africa. Additionally, increased mortality due to liver-related causes and an ageing population may have contributed to a reduction in infections. Funding John C Martin Foundation.publishersversionPeer reviewe