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Nevin Manimala Statistics

A proposed framework for the development and qualitative evaluation of West Nile virus models and their application to local public health decision-making

PLoS Negl Trop Dis. 2021 Sep 9;15(9):e0009653. doi: 10.1371/journal.pntd.0009653. eCollection 2021 Sep.

ABSTRACT

West Nile virus (WNV) is a globally distributed mosquito-borne virus of great public health concern. The number of WNV human cases and mosquito infection patterns vary in space and time. Many statistical models have been developed to understand and predict WNV geographic and temporal dynamics. However, these modeling efforts have been disjointed with little model comparison and inconsistent validation. In this paper, we describe a framework to unify and standardize WNV modeling efforts nationwide. WNV risk, detection, or warning models for this review were solicited from active research groups working in different regions of the United States. A total of 13 models were selected and described. The spatial and temporal scales of each model were compared to guide the timing and the locations for mosquito and virus surveillance, to support mosquito vector control decisions, and to assist in conducting public health outreach campaigns at multiple scales of decision-making. Our overarching goal is to bridge the existing gap between model development, which is usually conducted as an academic exercise, and practical model applications, which occur at state, tribal, local, or territorial public health and mosquito control agency levels. The proposed model assessment and comparison framework helps clarify the value of individual models for decision-making and identifies the appropriate temporal and spatial scope of each model. This qualitative evaluation clearly identifies gaps in linking models to applied decisions and sets the stage for a quantitative comparison of models. Specifically, whereas many coarse-grained models (county resolution or greater) have been developed, the greatest need is for fine-grained, short-term planning models (m-km, days-weeks) that remain scarce. We further recommend quantifying the value of information for each decision to identify decisions that would benefit most from model input.

PMID:34499656 | DOI:10.1371/journal.pntd.0009653

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Knowledge, beliefs, attitudes and perceived risk about COVID-19 vaccine and determinants of COVID-19 vaccine acceptance in Bangladesh

PLoS One. 2021 Sep 9;16(9):e0257096. doi: 10.1371/journal.pone.0257096. eCollection 2021.

ABSTRACT

Bangladesh govt. launched a nationwide vaccination drive against SARS-CoV-2 infection from early February 2021. The objectives of this study were to evaluate the acceptance of the COVID-19 vaccines and examine the factors associated with the acceptance in Bangladesh. In between January 30 to February 6, 2021, we conducted a web-based anonymous cross-sectional survey among the Bangladeshi general population. At the start of the survey, there was a detailed consent section that explained the study’s intent, the types of questions we would ask, the anonymity of the study, and the study’s voluntary nature. The survey only continued when a respondent consented, and the answers were provided by the respondents themselves. The multivariate logistic regression was used to identify the factors that influence the acceptance of the COVID-19 vaccination. A total of 605 eligible respondents took part in this survey (population size 1630046161 and required sample size 591) with an age range of 18 to 100. A large proportion of the respondents are aged less than 50 (82%) and male (62.15%). The majority of the respondents live in urban areas (60.83%). A total of 61.16% (370/605) of the respondents were willing to accept/take the COVID-19 vaccine. Among the accepted group, only 35.14% showed the willingness to take the COVID-19 vaccine immediately, while 64.86% would delay the vaccination until they are confirmed about the vaccine’s efficacy and safety or COVID-19 becomes deadlier in Bangladesh. The regression results showed age, gender, location (urban/rural), level of education, income, perceived risk of being infected with COVID-19 in the future, perceived severity of infection, having previous vaccination experience after age 18, having higher knowledge about COVID-19 and vaccination were significantly associated with the acceptance of COVID-19 vaccines. The research reported a high prevalence of COVID-19 vaccine refusal and hesitancy in Bangladesh. To diminish the vaccine hesitancy and increase the uptake, the policymakers need to design a well-researched immunization strategy to remove the vaccination barriers. To improve vaccine acceptance among people, false rumors and misconceptions about the COVID-19 vaccines must be dispelled (especially on the internet) and people must be exposed to the actual scientific facts.

PMID:34499673 | DOI:10.1371/journal.pone.0257096

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The impact of access to water supply and sanitation on the prevalence of active trachoma in Ethiopia: A systematic review and meta-analysis

PLoS Negl Trop Dis. 2021 Sep 9;15(9):e0009644. doi: 10.1371/journal.pntd.0009644. eCollection 2021 Sep.

ABSTRACT

BACKGROUND: Trachoma is a worldwide infectious disease causing blindness. Trachoma continued as a public health problem in Ethiopia due to a lack of sanitation and inadequate prevention strategies. This study aimed to identify the impact of water supply and sanitation intervention on preventing active trachoma among children.

METHODS: Systematic literature searches were performed from 4 international databases. The search involved articles published from January 1995 up to March 2019. The Cochran Q and I2 statistical tests were used to check heterogeneity among the studies. A random-effect meta-analysis was employed to determine the pooled estimates with a 95% confidence interval (CI). Data analysis was performed using the CMA V.3 and RevMan 5 software program, and the result of the systematic review was reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

FINDINGS: Out of 211 studies screened for the analysis, only 29 studies were finally included in this systematic review and meta-analysis. The result revealed factors that are significantly associated with increased odds of active trachoma. Accordingly, households with no access to toilet facilities (odds ratio [OR]: 2.04, 95% CI: 1.75-2.38), no access to improved water (OR: 1.58, 95% CI: 1.27-1.96), and do not practice regular face washing for children (OR: 4.19, 95% CI: 3.02-5.81) have shown increased odds of active trachoma. Besides, the results show a higher prevalence of active trachoma among children who did not wash their faces with soap and frequently.

CONCLUSIONS: The study found strong evidence that lack of access to water, sanitation, and hygiene (WASH) was associated with increased prevalence of active trachoma among children. Therefore, a comprehensive and partnership-oriented program is needed to tackle the problem, but further study will be required to strengthen its implementation.

PMID:34499655 | DOI:10.1371/journal.pntd.0009644

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Nevin Manimala Statistics

Cross-cultural adaptation into italian and validation of the Frenchay Dysarthria Assessment-2

Eur J Phys Rehabil Med. 2021 Sep 9. doi: 10.23736/S1973-9087.21.07029-5. Online ahead of print.

ABSTRACT

BACKGROUND: A comprehensive evaluation of dysarthria is required to make an accurate differential diagnosis with other communication disorders and plan effective rehabilitation programs. The Frenchay Dysarthria Assessment-2 (FDA-2) is a valid, reliable and widely-used protocol for the assessment of dysarthria. An Italian version of the FDA-2 is currently lacking.

AIM: To perform a cross-cultural adaptation of the FDA-2 in Italian and to validate the Italian version of the FDA-2.

DESIGN: Validation study.

SETTING: Inpatient rehabilitation center.

POPULATION: 69 patients with dysarthria and 112 healthy controls.

METHODS: The FDA-2 was translated and cross-culturally adapted to Italian. The validation study was carried out in 4 steps: (1) 42 audio-recorded samples of FDA-2 items from 11 patients with dysarthria were independently assessed by 7 speech and language pathologists for interrater reliability and re-assessed after 6 weeks for intrarater reliability; (2) 11 patients were simultaneously assessed by 3 speech and language therapists for interrater reliability of the whole Italian version of the FDA-2 and re-assessed within 24 hours for test-retest reliability; (3) the Italian version of the FDA-2 was administered to 112 healthy volunteers to gain normative data; (4) 49 patients with different types of dysarthria were assessed using the Italian version of the FDA-2, the Therapy Outcome Measure impairment scale and the Robertson Profile for the validity analysis.

RESULTS: Interrater and intrarater reliability ranged from good to excellent (ICC >0.75) except for 3 audiorecorded items. The overall protocol demonstrated excellent (ICC >0.9) inter-rater and test-retest reliability for all the sections and the total score. Normative data were gained for 6 age groups. For the validity analysis, a statistically significant difference was found between dysarthric patients and healthy subjects for all sections and the total score. The FDA-2 significantly correlated to the Therapy Outcome Measure (r=0.75) and the Robertson Profile (r=0.81).

CONCLUSIONS: The Italian version of the FDA-2 yield satisfactory reliability and validity, comparable to the psychometric properties of the original version.

CLINICAL REHABILITATION IMPACT: Speech and language pathologists can rely on a valid and reliable tool in Italian for the assessment of dysarthria in both clinical and research practice.

PMID:34498832 | DOI:10.23736/S1973-9087.21.07029-5

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A meta-analysis of the executive function components inhibition, shifting, and attention in intellectual disabilities

J Intellect Disabil Res. 2021 Sep 9. doi: 10.1111/jir.12878. Online ahead of print.

ABSTRACT

BACKGROUND: Executive function is a concept for higher-order cognitive functions, which have the role of controller and modulator of cognitive abilities. The consensus in the literature is that people with an intellectual disability perform significantly lower on executive function tasks than groups matched on chronological age. The comparison with groups matched on mental age is less clear. Therefore, the objective of this meta-analysis was to investigate to what extent executive function is impaired in people with intellectual disability compared with a typically developing control group matched on mental age. It was also investigated if the executive function component and intellectual disability aetiology moderated the effect.

METHODS: Eligibility criteria were participants with intellectual disability (IQ ≤ 75) without a dual diagnosis; a comparison group matched on mental age; executive function outcome reported in a group comparison study design with n ≥ 10. Working memory tasks and ratings of executive function were not included. The literature search yielded 6637 potentially interesting articles. Twenty-six studies (with 99 effect sizes) including 1395 participants were included in the quantitative synthesis.

RESULTS: A multilevel random-effects meta-analysis found that people with intellectual disability performed statistically significantly lower than the mental age-matched group on the executive function tasks, g = -0.34, 95% confidence interval = [-0.53, -0.16]. However, the heterogeneity between effect sizes was large. The intellectual disability aetiology moderator was significant, but it only reduced the heterogeneity marginally.

CONCLUSION: The overall conclusion is that individuals with an intellectual disability have more problems with executive function tasks than mental age-matched controls. Limitations are the large unexplained variance and the remarkably high number (69) of different tests that were used, which make more detailed conclusions problematic. This meta-analysis implies that future studies need to be of better quality, to have higher power, and to a higher degree use the same executive function tests.

PMID:34498787 | DOI:10.1111/jir.12878

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Nevin Manimala Statistics

Effects of tooth bleaching protocols assisted by Er,Cr:YSGG and diode (980 nm) lasers on color change of resin-based restoratives

J Esthet Restor Dent. 2021 Sep 9. doi: 10.1111/jerd.12817. Online ahead of print.

ABSTRACT

OBJECTIVE: To evaluate color change of three resin-based restorative materials after two laser-assisted in-office tooth bleaching protocols using Er,Cr:YSGG and diode (980 nm) lasers.

MATERIALS AND METHODS: A nanohybrid composite resin (EP), a Bis-GMA free composite resin (EPBio) and a resin-matrix CAD-CAM ceramic (HC) were tested. Ninety specimens were prepared and stored in artificial saliva. Group 1 received an in-office bleaching treatment using 40% H2 O2. The same bleaching procedure was assisted by Er,Cr:YSGG laser in Group 2 and by a diode laser (980 nm) in Group 3. Color measurements were performed using a double-beam UV-Vis spectrophotometer at four time intervals (before, 24 h, 15 and 30 days), converted to L*, a*, and b* units of the CIELAB color space and assessed on the basis of 50:50% acceptability (ΔΕab * = 2.7 and ΔΕ00 = 1.77) and 50:50% perceptibility (ΔΕab * = 1.2 and ΔΕ00 = 0.81) thresholds. Three-way ANOVA with repeated measurements was used for statistical analysis of the data.

RESULTS: Color and whiteness changes did not exceed the established 50:50% acceptability thresholds. EP presented the highest color change after the bleaching followed by EPBio and HC (p ≤ 0.05). Three-way ANOVA revealed that type of material and time interval significantly affected color change (p ≤ 0.001).

CONCLUSIONS: The tested bleaching treatments assisted by Er,Cr:YSGG and diode (980 nm) lasers did not induce unacceptable color and whiteness changes in the resin-based restorative materials.

CLINICAL SIGNIFICANCE: The tested Er,Cr:YSGG and diode (980 nm) laser-assisted tooth bleaching protocols which may be recommended to accelerate the clinical procedures cannot affect the color of the existing resin-based restorations in case they are accidentally exposed on the bleaching gel and laser irradiation.

PMID:34498792 | DOI:10.1111/jerd.12817

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Pelvic ring reconstruction with double-barreled fibular free flap: A systematic review

Microsurgery. 2021 Sep 9. doi: 10.1002/micr.30806. Online ahead of print.

ABSTRACT

INTRODUCTION: Pelvic ring reconstruction after internal hemipelvectomy is an extremely challenging surgical procedure, and mandatory reconstruction is to provide a durable and pain-free functional outcome, especially for young, active patients. One of the most widely employed techniques is reconstruction with a double-barreled fibular free flap (DBF). The aim of our work was an in-depth analysis of the outcome of pelvic ring reconstruction performed using the above-mentioned method, in particular looking for a correlation between the fixation technique and either ambulation status or complications.

MATERIALS AND METHODS: A systematic review was performed in November 2020 using PubMed and MedLine Ovid databases according to the PRISMA guidelines and the results were statistically analyzed.

RESULTS: Studies were published between 1994 and 2015. A DBF was used in each case, with a total of 30 patients. Reconstruction was performed with screws in 13 cases, Cotrel-Dubousset rod fixation in 6, screws and plate in 5, screws with external fixation in 4, and ISOLA in 2. Follow-up time ranged from 3 to 131 months. Functional outcome was excellent in 4 patients and good in 26 patients. Statistical analysis showed no statistical evidence of existing correlation between fixation technique and complications (p = .873), while statistical correlation between age and fixation technique was found (p < .001).

CONCLUSION: Reconstruction of pelvic ring with DBF provides an overall good functional outcome. Our data indicate that there is no statistical evidence of existing correlation between the fixation technique and either complications or ambulation status.

PMID:34498772 | DOI:10.1002/micr.30806

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Efficacy of fesoterodine fumarate (8 mg) in neurogenic detrusor overactivity due to spinal cord lesion or multiple sclerosis: A prospective study

Neurourol Urodyn. 2021 Sep 9. doi: 10.1002/nau.24790. Online ahead of print.

ABSTRACT

AIMS: Antimuscarinic drugs are the first-line choice in the treatment of patients with neurogenic Detrusor Overactivity (nDO). Fesoterodine fumarate is the newest antimuscarinic drug. Limited data are published about the use of fesoterodine fumarate in patients suffering from neurogenic lower urinary tract dysfunction. Our study aims to determine the efficacy of fesoterodine fumarate on patients with nDO due to spinal cord lesion or multiple sclerosis (MS).

METHODS: This is an open-label prospective interventional study. Eligible patients were 18-80 years old with SCL or MS and nDO confirmed by a urodynamic study (UDS). At baseline, patients underwent a UDS to confirm nDO. Quality of life (QoL) was assessed by the Short-Form (SF) Qualiveen questionnaire. Patients received fesoterodine 8 mg/day for 3 months and were re-evaluated with UDS and SF-Qualiveen. The primary endpoint was the confirmation of the maximum detrusor pressure (Pdetmax ) reduction after treatment. Secondary endpoints were: evaluation of maximum bladder capacity and compliance and QoL effect. Statistical analysis included Wilcoxon-test using SPSSv26.

RESULTS: One hundred and twenty-four patients completed the study. Ninety-five of them (76.6%) had SCL, while 29 (23.4%) had MS. Pdetmax , maximum bladder capacity, and compliance had significant reduction after treatment (p < .001) in the whole group and each subgroup. SF-Qualiveen revealed a significant increase in QoL in each group (p < .001).

CONCLUSIONS: Fesoterodine fumarate (8 mg) is an efficacious drag in patients with SCL and MS, as it significantly decreases the detrusor pressure, increases the bladder capacity and compliance, and improves the QoL.

PMID:34498773 | DOI:10.1002/nau.24790

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Using molecular embeddings in QSAR modeling: does it make a difference?

Brief Bioinform. 2021 Sep 8:bbab365. doi: 10.1093/bib/bbab365. Online ahead of print.

ABSTRACT

With the consolidation of deep learning in drug discovery, several novel algorithms for learning molecular representations have been proposed. Despite the interest of the community in developing new methods for learning molecular embeddings and their theoretical benefits, comparing molecular embeddings with each other and with traditional representations is not straightforward, which in turn hinders the process of choosing a suitable representation for Quantitative Structure-Activity Relationship (QSAR) modeling. A reason behind this issue is the difficulty of conducting a fair and thorough comparison of the different existing embedding approaches, which requires numerous experiments on various datasets and training scenarios. To close this gap, we reviewed the literature on methods for molecular embeddings and reproduced three unsupervised and two supervised molecular embedding techniques recently proposed in the literature. We compared these five methods concerning their performance in QSAR scenarios using different classification and regression datasets. We also compared these representations to traditional molecular representations, namely molecular descriptors and fingerprints. As opposed to the expected outcome, our experimental setup consisting of over $25 000$ trained models and statistical tests revealed that the predictive performance using molecular embeddings did not significantly surpass that of traditional representations. Although supervised embeddings yielded competitive results compared with those using traditional molecular representations, unsupervised embeddings tended to perform worse than traditional representations. Our results highlight the need for conducting a careful comparison and analysis of the different embedding techniques prior to using them in drug design tasks and motivate a discussion about the potential of molecular embeddings in computer-aided drug design.

PMID:34498670 | DOI:10.1093/bib/bbab365

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Benchmark of filter methods for feature selection in high-dimensional gene expression survival data

Brief Bioinform. 2021 Sep 8:bbab354. doi: 10.1093/bib/bbab354. Online ahead of print.

ABSTRACT

Feature selection is crucial for the analysis of high-dimensional data, but benchmark studies for data with a survival outcome are rare. We compare 14 filter methods for feature selection based on 11 high-dimensional gene expression survival data sets. The aim is to provide guidance on the choice of filter methods for other researchers and practitioners. We analyze the accuracy of predictive models that employ the features selected by the filter methods. Also, we consider the run time, the number of selected features for fitting models with high predictive accuracy as well as the feature selection stability. We conclude that the simple variance filter outperforms all other considered filter methods. This filter selects the features with the largest variance and does not take into account the survival outcome. Also, we identify the correlation-adjusted regression scores filter as a more elaborate alternative that allows fitting models with similar predictive accuracy. Additionally, we investigate the filter methods based on feature rankings, finding groups of similar filters.

PMID:34498681 | DOI:10.1093/bib/bbab354