scholarly journals Prediction Modeling Studies for Medical Usage Rates in Mass Gatherings: A Systematic Review

2019 ◽  
Vol 34 (s1) ◽  
pp. s40-s40
Author(s):  
Hans Van Remoortel ◽  
Hans Scheers ◽  
Emmy De Buck ◽  
Karen Lauwers ◽  
Philippe Vandekerckhove
Keyword(s):  
Systematic Review ◽  
Regression Model ◽  
Free Water ◽  
Dew Point ◽  
Statistical Regression ◽  
Prediction Modeling ◽  
Mass Gatherings ◽  
Modeling Studies ◽  
Usage Rates

Introduction:Mass gatherings attended by large crowds are an increasingly common feature of society. In parallel, an increased number of studies have been conducted to identify those variables that are associated with increased medical usage rates.Aim:To identify studies that developed and/or validated a statistical regression model predicting patient presentation rate (PPR) or transfer to hospital rate (TTHR) at mass gatherings.Methods:Prediction modeling studies from 6 databases were retained following systematic searching. Predictors for PPR and/or TTHR that were included in a multivariate regression model were selected for analysis. The GRADE methodology (Grades of Recommendation, Assessment, Development, and Evaluation) was used to assess the quality of evidence.Results:We identified 11 prediction modeling studies with a combined audience of >32 million people in >1500 mass gatherings. Eight cross-sectional studies developed a prediction model in a mixed audience of (spectator) sports events, music concerts, and public exhibitions. Statistically significant variables (p<0.05) to predict PPR and/or TTHR were as follows: accommodation (seated, boundaries, indoor/outdoor, maximum capacity, venue access), type of event, weather conditions (humidity, dew point, heat index), crowd size, day vs night, demographic variables (age/gender), sports event distance, level of competition, free water availability, and specific TTHR-predictive factors (injury status: number of patient presentations, type of injury). The quality of the evidence was considered as low. Three studies externally validated their model against existing models. Two validation studies showed a large underestimation of the predicted patients presentations or transports to hospital (67-81%) whereas one study overestimated these outcomes by 10-28%.Discussion:This systematic review identified a comprehensive list of relevant predictors which should be measured to develop and validate future models to predict medical usage at mass gatherings. This will further scientifically underpin more effective pre-event planning and resource provision.

scholarly journals Prediction modelling studies for medical usage rates in mass gatherings: A systematic review

PLoS ONE ◽  
2020 ◽  
Vol 15 (6) ◽  
pp. e0234977
Author(s):  
Hans Van Remoortel ◽  
Hans Scheers ◽  
Emmy De Buck ◽  
Winne Haenen ◽  
Philippe Vandekerckhove
Keyword(s):  
Systematic Review ◽  
Mass Gatherings ◽  
Modelling Studies ◽  
Prediction Modelling ◽  
Usage Rates

scholarly journals The Simple Method to Assess Land Quality of Paddy Field Using Spectral, Soil pH and Statistical Regression Technique (Case Study of Paddy Field in Majalaya Subdistrict, Bandung Region)

2017 ◽  
Vol 2 (6) ◽  
pp. 194
Author(s):  
Mochamad Firman Ghazali ◽  
Agung Budi Harto ◽  
Ketut Wikantika
Keyword(s):  
Regression Model ◽  
Soil Ph ◽  
Paddy Field ◽  
Near Infrared ◽  
Landsat 8 ◽  
Statistical Regression ◽  
Simple Method ◽  
Land Quality

Assessing land quality has important use in understanding the capability of soil in producing food. The area of paddy fields in Majalaya Subdistrict is located around the industrial zone and this situation is urgent to understand the land quality of paddy field due to the influence effect of industrial waste to its growth. A combination of regression model and Landsat 8 image to estimate soil pH distribution is used to predict the land quality. The result of this study is shown that the regression model of red and near infrared (NIR) band combination is used to predict soil pH has been successfully given the smallest error (RMSe) as the soil pH accuracy is 1.18 and related to the land quality assessment based on predicted soil pH is shown that in the whole area of paddy field has the acid situation of soil pH.Keywords: Spectral, Soil pH; Regression, Land Quality; Land  Suitability

scholarly journals Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice

2020 ◽  
Author(s):  
Gonzalo Salazar de Pablo ◽  
Erich Studerus ◽  
Julio Vaquerizo-Serrano ◽  
Jessica Irving ◽  
Ana Catalan ◽  
...  
Keyword(s):  
Systematic Review ◽  
Clinical Practice ◽  
Implementation Research ◽  
Prediction Models ◽  
Random Effect ◽  
Individual Risk ◽  
Cochrane Central Register ◽  
Prediction Modeling ◽  
Modeling Studies ◽  
The Impact

Abstract Background The impact of precision psychiatry for clinical practice has not been systematically appraised. This study aims to provide a comprehensive review of validated prediction models to estimate the individual risk of being affected with a condition (diagnostic), developing outcomes (prognostic), or responding to treatments (predictive) in mental disorders. Methods PRISMA/RIGHT/CHARMS-compliant systematic review of the Web of Science, Cochrane Central Register of Reviews, and Ovid/PsycINFO databases from inception until July 21, 2019 (PROSPERO CRD42019155713) to identify diagnostic/prognostic/predictive prediction studies that reported individualized estimates in psychiatry and that were internally or externally validated or implemented. Random effect meta-regression analyses addressed the impact of several factors on the accuracy of prediction models. Findings Literature search identified 584 prediction modeling studies, of which 89 were included. 10.4% of the total studies included prediction models internally validated (n = 61), 4.6% models externally validated (n = 27), and 0.2% (n = 1) models considered for implementation. Across validated prediction modeling studies (n = 88), 18.2% were diagnostic, 68.2% prognostic, and 13.6% predictive. The most frequently investigated condition was psychosis (36.4%), and the most frequently employed predictors clinical (69.5%). Unimodal compared to multimodal models (β = .29, P = .03) and diagnostic compared to prognostic (β = .84, p &lt; .0001) and predictive (β = .87, P = .002) models were associated with increased accuracy. Interpretation To date, several validated prediction models are available to support the diagnosis and prognosis of psychiatric conditions, in particular, psychosis, or to predict treatment response. Advancements of knowledge are limited by the lack of implementation research in real-world clinical practice. A new generation of implementation research is required to address this translational gap.

scholarly journals Microbial contamination of non-household drinking water sources: a systematic review

2018 ◽  
Vol 8 (3) ◽  
pp. 374-385 ◽  
Author(s):  
Lydia Abebe ◽  
Andrew J. Karon ◽  
Andrew J. Koltun ◽  
Ryan D. Cronk ◽  
Robert E. S. Bain ◽  
...  
Keyword(s):  
Systematic Review ◽  
Water Quality ◽  
Drinking Water ◽  
Health Care Facilities ◽  
World Health ◽  
Mass Gatherings ◽  
Thermotolerant Coliforms ◽  
Unsafe Water ◽  
Health Organization

Abstract Drinking water in non-household settings (e.g. schools, health care facilities (HCFs), restaurants, and mass gatherings) that is free of contamination is important for human health, especially in settings with vulnerable populations who are more at risk from the use of unsafe drinking water, such as immunocompromised patients in HCFs and children at school. Few studies have characterized water quality in non-household settings. We examined the quality of drinking water in non-household settings using studies identified through a previous systematic review. This review evaluated the quality (Escherichia coli, thermotolerant coliforms, and total coliforms) of drinking water in non-household settings. We found that drinking water in non-household settings is often non-compliant with health-based standards as defined by the World Health Organization. More research is necessary to determine the extent to which drinking-water quality in non-household settings differs from community settings to better understand how to effectively and appropriately address their challenges unique to safe water in non-household settings. This is of particular relevance to public health since people spend much of their day outside the home where they may consume unsafe water.

Characteristics of the Frequency-Following Response to Speech in Neonates and Potential Applicability in Clinical Practice: A Systematic Review

2020 ◽  
Vol 63 (5) ◽  
pp. 1618-1635
Author(s):  
Céline Richard ◽  
Mary Lauren Neel ◽  
Arnaud Jeanvoine ◽  
Sharon Mc Connell ◽  
Alison Gehred ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cochrane Library ◽  
Neurodevelopmental Outcomes ◽  
Frequency Following Response ◽  
Ovid Medline ◽  
Published Evidence ◽  
Mesh Terms ◽  
Potential Applicability ◽  
Clinical Potential

Purpose We sought to critically analyze and evaluate published evidence regarding feasibility and clinical potential for predicting neurodevelopmental outcomes of the frequency-following responses (FFRs) to speech recordings in neonates (birth to 28 days). Method A systematic search of MeSH terms in the Cumulative Index to Nursing and Allied HealthLiterature, Embase, Google Scholar, Ovid Medline (R) and E-Pub Ahead of Print, In-Process & Other Non-Indexed Citations and Daily, Web of Science, SCOPUS, COCHRANE Library, and ClinicalTrials.gov was performed. Manual review of all items identified in the search was performed by two independent reviewers. Articles were evaluated based on the level of methodological quality and evidence according to the RTI item bank. Results Seven articles met inclusion criteria. None of the included studies reported neurodevelopmental outcomes past 3 months of age. Quality of the evidence ranged from moderate to high. Protocol variations were frequent. Conclusions Based on this systematic review, the FFR to speech can capture both temporal and spectral acoustic features in neonates. It can accurately be recorded in a fast and easy manner at the infant's bedside. However, at this time, further studies are needed to identify and validate which FFR features could be incorporated as an addition to standard evaluation of infant sound processing evaluation in subcortico-cortical networks. This review identifies the need for further research focused on identifying specific features of the neonatal FFRs, those with predictive value for early childhood outcomes to help guide targeted early speech and hearing interventions.

Psychological and Cognitive Aspects of Borderline Intellectual Functioning

2017 ◽  
Vol 22 (3) ◽  
pp. 159-166 ◽  
Author(s):  
Bastianina Contena ◽  
Stefano Taddei
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Intellectual Functioning ◽  
Clinical Impact ◽  
Review Of The Literature ◽  
Borderline Intellectual Functioning ◽  
General Quality ◽  
Meta Analyses ◽  
Over Time

Abstract. Borderline Intellectual Functioning (BIF) refers to a global IQ ranging from 71 to 84, and it represents a condition of clinical attention for its association with other disorders and its influence on the outcomes of treatments and, in general, quality of life and adaptation. Furthermore, its definition has changed over time causing a relevant clinical impact. For this reason, a systematic review of the literature on this topic can promote an understanding of what has been studied, and can differentiate what is currently attributable to BIF from that which cannot be associated with this kind of intellectual functioning. Using Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) criteria, we have conducted a review of the literature about BIF. The results suggest that this condition is still associated with mental retardation, and only a few studies have focused specifically on this condition.

Physico-Chemical Analysis of Groundwater and Effect of Climatic Change in Angul-Talcher Area

2018 ◽  
Vol 6 (12) ◽  
pp. 26
Author(s):  
Aliva Bera ◽  
D.P. Satapathy
Keyword(s):  
Water Resources ◽  
Linear Regression ◽  
Regression Model ◽  
Climatic Change ◽  
Linear Regression Model ◽  
Ann Model ◽  
Quality Of Water ◽  
Physico Chemical ◽  
Simulation Based

In this paper, the linear regression model using ANN and the linear regression model using MS Excel were developed to estimate the physico-chemical concentrations in groundwater using pH, EC, TDS, TH, HCO3 as input parameters and Ca, Mg and K as output parameters. A comparison was made which indicated that ANN model had the better ability to estimate the physic-chemical concentrations in groundwater. An analytical survey along with simulation based tests for finding the climatic change and its effect on agriculture and water bodies in Angul-Talcher area is done. The various seasonal parameters such as pH, BOD, COD, TDS,TSS along with heavy elements like Pb, Cd, Zn, Cu, Fe, Mn concentration in water resources has been analyzed. For past 30 years rainfall data has been analyzed and water quality index values has been studied to find normal and abnormal quality of water resources and matlab based simulation has been done for performance analysis. All results has been analyzed and it is found that the condition is stable. 

How Does Mindfulness Affect Cognition? A Reflection on Confounding Issues Surrounding Mindfulness-based Intervention Research Targeting Cognitive Outcomes

2018 ◽  
Author(s):  
David R Vago ◽  
Resh Gupta ◽  
Sara Lazar
Keyword(s):  
Systematic Review ◽  
Health Outcomes ◽  
Cognitive Functioning ◽  
Cognitive Processes ◽  
Methodological Quality ◽  
Cognitive Outcomes ◽  
Controlled Trials ◽  
Randomized Controlled ◽  
Existing Data

One potential pathway by which mindfulness-based meditation improves health outcomes is through changes in cognitive functioning. A systematic review of randomized controlled trials of mindfulness-based interventions (MBIs) was conducted with a focus on assessing the state of the evidence for effects on cognitive processes and associated assays. Here, we comment on confounding issues surrounding the reporting of these and related findings, including 1) criteria that appropriately define an MBI; 2) limitations of assays used to measure cognition; and 3) methodological quality of MBI trials and reporting of findings. Because these issues contribute to potentially distorted interpretations of existing data, we offer constructive means for interpretation and recommendations for moving the field of mindfulness research forward regarding the effects on cognition.

Sign in / Sign up

Export Citation Format

Share Document