Managing Pandemic Disasters: A Resource-Based Analysis

Healthcare crises are well-known phenomena that occur and are highly disruptive. Consider, for example, Covid19 and other pandemics, wars, multi-casualty natural disasters, industrial disasters, etc. Healthcare systems in Brazil, Spain, Italy, and more around the world collapsed due to the lack of a clear methodology for handling such crises. Following a largescale value creation project with a large medical center we developed a resource-based methodology to cope with three healthcare crisis scenarios: “Peace”, “War” and “Tsunami”.

We identified three load/capacity scenarios for hospitals: “Peace”, “War” and “Tsunami”. The Peacetime scenario is the normal overload situation in a hospital. Figure 1 during “Peace” times, hospitals are usually 10%-20% short in resources. To overcome bottlenecks, managers apply evolutionary methods such as constraint management [1], the complete kit concept, etc. This is the normal condition in hospitals where there are fluctuations in supply and demand. Bottlenecks in this situation are typically medical crews: senior physicians and experienced nurses.

Read More About This Article: 10.31031/OABB.2024.03.000567

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Binomial Population of Biological Objects

Opinion

Let the system consist of n of the same type and independent biological individuals with the same indicator p survival at a given interval [0,T] time [1]. Let us assume that a population is subject to an epidemic that leads to the death of some of the individuals.

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A Behavioral Learning Theory Public Health Education and Promotion Campaign Plan for COVID-19

Abstract

The article includes a COVID-19 public health education and promotion campaign plan to prompt change by applying major behavioral change principles and procedures. Best practices research to motivate, support, and sustain health behavior change includes the application of Behavioral Learning Theory when educating the public regarding COVID-19 health challenges. Topics evaluated include:

1)Behavioral Learning Theory,

2)6-month timeline for accomplishing three COVID-19 public health communication objectives, and

3)SWOT analysis.

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The Stupidity of Communications_Crimson Publishers

 The Stupidity of Communications by James F Welles in Open access Biostatistics & Bioinformatics

In the formation and transformation of culture and its transmission across generations, communication is paramount. In fact, learning, unlearning and relearning are all communicative processes fundamental to the development and existence of culture [1]. This is not a uniquely human phenomenon, as many amniotic species depend upon their considerable learning capabilities in the development of their social organization and general behavior. While this basic cultural process is part of our biological heritage [2], language gives human culture its distinctive flair. In developing the cultural capacity for stupidity to human desiderata, language proved to be a most effective mechanism in that it both inhibits and subverts awareness. It is language which provides us with our basic misperceptions, which culture then embellishes and disseminates. Thus, self-unawareness is promoted when language permits us to misinterpret embarrassing events into socially acceptable contexts. Although sense organs give us our first impressions of our environment, words fix our attitudes, direct the process of data selection and strongly influence the misinterpretation of information so that we may misconstrue experiences.

https://crimsonpublishers.com/oabb/pdf/OABB.000547.pdf 

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Portfolio Analysis in Finance Mathematics_Crimson Publishers

 Portfolio Analysis in Finance Mathematics by DS Hooda in Open access Biostatistics & Bioinformatics

In the present paper a brief account of the deterministic model due to Marko is given and the concept of mean variance efficient frontier to find all efficient portfolios that maximize the expected returns and minimize the variance are introduced. Some measures of portfolio analysis based on entropy meanvariance frontier and maximum entropy model in risk sharing are proposed and studied.

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Western Literature on Stupidity Reviewed_Crimson Publishers

Western Literature on Stupidity Reviewed by James F Welles in Open Access Biostatistics & Bioinformatics

 This review of the literature on stupidity demonstrates it has been and is a topic of interest among literati from Greek and Biblical times to the present. Recent writings on the topic are mostly anecdotal and with two exceptions indicate a lack of scientific analysis in the phenome-non.

https://crimsonpublishers.com/oabb/abstract/OABB.000544.php

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Mental Energy in the Context of the General Theory of Information_Crimson Publishers

 Mental Energy in the Context of the General Theory of Information by Mark Burgin in Open access Biostatistics & Bioinformatics

 Many researchers wrote about mental energy, psychic energy and spiritual energy. However, still there is neither clear understanding nor welldefined characterization of these phenomena. Here we study these concepts based on the general theory of information, the structuration of the world in the form of the Existential Triad of the world and the existing psychological and philosophical knowledge about the brain, psyche and mentality on the individual level. The goal is to explain the structure of mentality and elaborate a consistent system of concepts related to mental energy.

https://crimsonpublishers.com/oabb/pdf/OABB.000540.pdf

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Maximum Oxygen Uptake Prediction Model Based on Heart Rate Variability Parameters for Young Healthy Adult Males at Rest_Crimson publishers

Maximum Oxygen Uptake Prediction Model Based on Heart Rate Variability Parameters for Young Healthy Adult Males at Rest by Wollner Materko in Open Access Biostatistics & Bioinformatics

The assessment of aerobic fitness through the measurement of maximum oxygen consumption (VO2 max) is an objective parameter that integrates cardiovascular, respiratory and metabolic responses, providing a reliable assessment of exercise capacity and health status, as well as being useful information for exercise training prescription. The purpose of this study was to determine a model for predicting Maximum Oxygen Uptake based on HRV parameters estimated at rest in 70 young physically active adults. After recording the resting tacho gram with a cardio-frequency meter to calculate HRV parameters, a maximal cardiopulmonary incremental test was performed to measure the VO2 max. The model for predicting VO2 max was obtained by stepwise multiple linear regression assuming as independent variables the mean RR interval, pNN50 index, and a proposed cardiac deceleration rate. The models were cross-validated by K-fold method, and the best model accounted for 76% of data variance, with a standard error of estimate 4.40mL·kg-1min-1. In conclusion, the obtained model might be tested as a tool for predicting the aerobic fitness in adult males in rest based on the mean RR interval and the pNN50HRV parameters. Thus, the findings are not only interesting but important in that they can be performed without the need of applying a stress test and extend the HRV applicability in the evaluation of aerobic capacity and athletic performance.

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Structural Bioinformatics: A Brief Overview- Crimson Publishers

Structural Bioinformatics: A Brief Overview by Long Pei in Open Access Biostatistics & Bioinformatics: Crimson Publishers- Bioinformatics Open Access Journals

In the past decades, many advanced bio-technologies have accelerated frontier research to explore biological systems including cell, the basic unit of life. Experimental exploration of cellular environment, however, will be difficult as it requires not only huge labor efforts and costs but also large number of samples for reproducible research. With large volume of available biological data generated, bioinformatics becomes an important hybrid science subject to support systematic and comprehensive data storage, processing and analysis. In joint with statistics and algorithms, biological data such as DNA sequences have been more efficiently processed by bioinformatics methods. Unlike sequential data, biological structures are usually more dynamic and stochastic, thus, structural biology is more challenging a task for bioinformatics.

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String Matching in DNA Databases- Crimson Publishers

String Matching in DNA Databases by Yangjun Chen in Open Access Biostatistics & Bioinformatic: Crimson Publishers- Crimson Publishers Open Access Journal

The recent development of next-generation sequencing has changed the way we carry out the molecular biology and genomic studies. It has allowed us to sequence a DNA (Deoxyribonucleic acid) sequence at a significantly increased base coverage, as well as at a much faster rate [1]. This facilitates building an excellent platform for a whole genome sequencing, and for a variety of sequencing-based analyses, including gene expressions, mapping DNA-protein interactions, whole-transcriptome sequencing, and RNA (Ribonucleic acid) splicing profiles. For example, the RNA-Seq protocol [2], in which processed mRNA is converted to cDNA and then sequenced, is enabling the identification of previously unknown genes and alternative splice variants. The whole-genome sequencing of tumour cells can uncover previously unidentified cancer-initiating mutations.

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A New Strategy of the Bag-of-Word Method with a Multi-scale Representation for Evaluating Color Pairwise Descriptors- Crimson Publishers

A New Strategy of the Bag-of-Word Method with a Multi-scale Representation for Evaluating Color Pairwise Descriptors by Ahmed Kaffel in Open Access Biostatistics & Bioinformatic: crimson publishers open access journal- Crimson Publishers

In the field of image categorization, the Bag-Of-Word has proved to be successful. It treats local image features as visual words. After collecting all local features, each image is represented by a histogram of occurrences of visual words. In this work, we propose an extension to the Bag-Of-Words (BOW) by integrating the spatial relationships information between local features. In a first step, we extract local features by using both multi-scale representation and color descriptors based on HSV-SIFT, opponent-SIFT, RGB-SIFT, rg-SIFT and transformed-color-SIFT. In a second step, and in  order to represent the relationships between local features, we form pairwise color descriptors by joining pairs of spatially neighbor SIFT color features. In a third step, we encode the histograms which involve the occurrence of pairwise color descriptors by applying the BOW strategy and the Spatial Pyramid Representation (SPR). Finally, image classification is carried out by using Support Vector Machine (SVM) on the generated histograms. Our proposed method is tested and validated using the standard image datasets “Pascal Voc 2007”.

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Radial Basis Function Network versus Regression Model in Manufacturing Processes Prediction-Open Access Biostatistics & Bioinformatics journals- Crimson Publishers

Radial Basis Function Network versus Regression Model in Manufacturing Processes Prediction by Homero De Jesus De Leon Delgado* in Open Access Biostatistics& Bioinformatics

One of the objectives of manufacturing industry, is to increase the efficiency in their processes using different methodologies, such as statistical modeling, for production control and decision-making. However, the classical tools sometimes have difficulty to depict the manufacturing processes. This paper is a comparative study between a multiple regression model and a Radial Basis Function Neural Network in terms of the statistical metrics R2 and R2 adj applied in a permanent mold casting process and TIG welding process. Results showed that in both cases, the RBF network performed better than Regression model.

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Phylogenetic Methods and its Applications_Crimson Publishers

Phylogenetic Methods and its Applications by Geetika Munjal in Open Access Biostatistics &Bioinformatics

The phylogenetic tree portrays a relationship between sets of species and represents a model of molecular evolution. The current forms of species retain many of their ancestral features, some of which gradually change to help these species adjust to their environment. We provide a review of phylogenetic construction and validation methods and its application in cancer analysis. The need of alignment free methods for sequence comparison is also explored as an alternative to alignment based methods.

https://crimsonpublishers.com/oabb/fulltext/OABB.000505.php

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Adjusted Risk Difference Estimation: An Assessment of Convergence Problems with Application to Malaria Efficacy Studies- Crimson Publishers

Adjusted Risk Difference Estimation: An Assessment of Convergence Problems with Application to Malaria Efficacy Studies by Mukaka Mavuto*, White SA, Mwapasa V, Kalilani-Phiri L, Terlouw DJ and Faragher Brian E in Open Access Biostatistics &Bioinformatics

A common measure of treatment effect in malaria efficacy studies is the risk difference, which can be estimated using binomial regression models. These models can fail to provide estimates, however, due to model failure or model convergence problems. Such failure most commonly occurs when the rate is close to 0% or 100% (a "boundary problem”) but can also occur occasionally even when the rate is not close to a boundary. This paper reports the findings from simulation studies performed to evaluate the factors that may contribute to model failure when using binomial regression to derive risk difference estimates.

Convergence rates were found to fall:

    i) As one or both efficacy rates moved towards a boundary value, irrespective of the number of covariates included in the model;

    ii) As the numbers of covariates in the model increased;

    iii) As the levels of correlation between covariates the covariates increased. In all circumstances, convergence was poor when the efficacy rate in either group was 90% or more.

https://crimsonpublishers.com/oabb/fulltext/OABB.000502.php