scholarly journals Rapid COVID-19 Test: Investigating the Willingness to Take a Rapid Test Based on Multiple Factors

2021 ◽  
Author(s):  
Bhavya Bansal
Keyword(s):  
Statistical Tests ◽  
Statistical Significance ◽  
Rapid Test ◽  
Basic Knowledge ◽  
Rapid Testing ◽  
Testing Methods ◽  
Paper Test ◽  
Preventative Measures ◽  
Rapid Spread ◽  
Chi Squared

The COVID-19 Pandemic has had a significant impact on society. Due to the large lose of life, scientists have attempted to develop various rapid testing methods. Several methods have been developed among them, an inexpensive paper test. The researcher has endeavored to determine what factors will influence a person’s willing to take a daily covid-19 test. Via a survey instrument that was disseminated we received a response of N=546 participants. We performed many standard statistical tests, t-tests, and one way ANOVA’s as well as Chi Squared tests and Linear by linear associations. Via this analysis were able to determine that there is a statistical significance between willingness to take daily rapid covid-19 test (p <0.05 and, washing your hand (p <0.001), being cautious of your actions (p <0.001), being concerned about covid-19 (p <0.001) and preventing things before they happen (p <0.001). Risk averse people more likely to take preventative measures to take actions to protect themselves and others around them. The lack of basic knowledge regarding the replication of SAR-CoV-2, has led people to underestimate the rapid spread of the virus. Thus, people are coming in contact with others during the most virulent state of the virus.

scholarly journals Parathyroid hormone Gene and Genes Involved in the Maintenance of Vitamin D Levels Association with Mandibular Retrognathism

2021 ◽  
Vol 11 (5) ◽  
pp. 369
Author(s):  
Erika Calvano Küchler ◽  
Caio Luiz Bitencourt Reis ◽  
Guido Marañón-Vásquez ◽  
Paulo Nelson-Filho ◽  
Mírian Aiko Nakane Matsumoto ◽  
...  
Keyword(s):  
Statistical Significance ◽  
Interaction Model ◽  
Distribution Analysis ◽  
Nucleotide Polymorphisms ◽  
Allele Distribution ◽  
Vitamin D Levels ◽  
Lateral Cephalograms ◽  
Genes Encoding ◽  
Chi Squared ◽  
Mandibular Retrognathism

In this study we evaluated whether single nucleotide polymorphisms (SNPs) in the genes encoding PTH, VDR, CYP24A1, and CYP27B1 were associated with mandibular retrognathism (MR). Samples from biologically-unrelated Brazilian patients receiving orthodontic treatment were included in this study. Pre-orthodontic lateral cephalograms were used to determine the phenotype. Patients with a retrognathic mandible were selected as cases and those with an orthognathic mandible were selected as controls. Genomic DNA was used for genotyping analysis of SNPs in PTH (rs694, rs6256, and rs307247), VDR (rs7975232), CYP24A1 (rs464653), and CYP27B1 (rs927650). Chi-squared or Fisher’s tests were used to compare genotype and allele distribution among groups. Haplotype analysis was performed for the SNPs in PTH. The established alpha was p < 0.05. Multifactor dimensionality reduction (MDR) was used to identify SNP–SNP interactions. A total of 48 (22 males and 26 females) MR and 43 (17 males and 26 females) controls were included. The linear mandibular and the angular measurements were statistically different between MR and controls (p < 0.05). In the genotype and allele distribution analysis, the SNPs rs694, rs307247, and rs464653 were associated with MR (p < 0.05). MDR analyses predicted the best interaction model for MR was rs694–rs927650, followed by rs307247–rs464653–rs927650. Some haplotypes in the PTH gene presented statistical significance. Our results suggest that SNPs in PTH, VDR, CYP24A1, and CYP27B1 genes are associated with the presence of mandibular retrognathism.

scholarly journals Impact of early detection and vaccination strategy in COVID-19 eradication program in Jakarta, Indonesia

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Dipo Aldila ◽  
Brenda M. Samiadji ◽  
Gracia M. Simorangkir ◽  
Sarbaz H. A. Khosnaw ◽  
Muhammad Shahzad
Keyword(s):  
Mathematical Model ◽  
Basic Reproduction Number ◽  
Reproduction Number ◽  
Vaccination Strategy ◽  
Vaccination Rate ◽  
Rapid Testing ◽  
Social Distancing ◽  
Rapid Spread ◽  
Vaccine Potential ◽  
The Basic Reproduction Number

Abstract Objective Several essential factors have played a crucial role in the spreading mechanism of COVID-19 (Coronavirus disease 2019) in the human population. These factors include undetected cases, asymptomatic cases, and several non-pharmaceutical interventions. Because of the rapid spread of COVID-19 worldwide, understanding the significance of these factors is crucial in determining whether COVID-19 will be eradicated or persist in the population. Hence, in this study, we establish a new mathematical model to predict the spread of COVID-19 considering mentioned factors. Results Infection detection and vaccination have the potential to eradicate COVID-19 from Jakarta. From the sensitivity analysis, we find that rapid testing is crucial in reducing the basic reproduction number when COVID-19 is endemic in the population rather than contact trace. Furthermore, our results indicate that a vaccination strategy has the potential to relax social distancing rules, while maintaining the basic reproduction number at the minimum possible, and also eradicate COVID-19 from the population with a higher vaccination rate. In conclusion, our model proposed a mathematical model that can be used by Jakarta’s government to relax social distancing policy by relying on future COVID-19 vaccine potential.

scholarly journals Mobile phones of paediatric hospital staff are never cleaned and commonly used in toilets with implications for healthcare nosocomial diseases

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Matthew Olsen ◽  
Anna Lohning ◽  
Mariana Campos ◽  
Peter Jones ◽  
Simon McKirdy ◽  
...  
Keyword(s):  
Mobile Phones ◽  
Categorical Data ◽  
Healthcare Workers ◽  
Numerical Data ◽  
Hospital Staff ◽  
Paediatric Hospital ◽  
Rapid Spread ◽  
Chi Squared ◽  
Handling Practices ◽  
Micro Organisms

AbstractAn ever-increasing number of medical staff use mobile phones as a work aid, yet this may pose nosocomial diseases. To assess and report via a survey the handling practices and the use of phones by paediatric wards healthcare workers. 165 paediatric healthcare workers and staff filled in a questionnaire consisting of 14 questions (including categorical, ordinal and numerical data). Analysis of categorical data used non-parametric techniques such as the Chi-squared test. Although 98% of respondents (165 in total) report that their phones may be contaminated, 56% have never cleaned their devices. Of the respondents that clean their devices, 10% (17/165) had done so with alcohol swabs or disinfectant within that day or week; and an additional 12% respondents (20/165) within that month. Of concern, 52% (86/165) of the respondents use their phones in the bathroom, emphasising the unhygienic environments in which mobile phones/smartphones are constantly used. Disinfecting phones is a practice that only a minority of healthcare workers undertake appropriately. Mobile phones, present in billions globally, are therefore Trojan Horses if contaminated with microbes and potentially contributing to the spread and propagation of micro-organisms as per the rapid spread of SARS-CoV-2 virus in the world.

scholarly journals A "miracle" cancer drug in the era of social media: A survey of Brazilian oncologists' opinions and experience with phosphoethanolamine

2017 ◽  
Vol 63 (1) ◽  
pp. 70-77
Author(s):  
Juliana Florinda M. Rêgo ◽  
◽  
Gilberto Lopes ◽  
Rachel P. Riechelmann ◽  
Cinthya Sternberg ◽  
...  
Keyword(s):  
Statistical Significance ◽  
Alternative Therapy ◽  
Cross Sectional Study ◽  
Cancer Drug ◽  
Sectional Study ◽  
Cross Sectional ◽  
Brazilian Society ◽  
Chi Squared ◽  
E Mail ◽  
Structured Questionnaire

Summary Introduction: Patients who are treating cancer have often used alternative therapies. In the internet era, information can be broadcasted widely, and this happened with phosphoethanolamine in Brazil, where this substance was claimed by the population to be the "cure for cancer." Method: This is a cross-sectional study developed by the Brazilian Society of Clinical Oncology (SBOC). An objectively structured questionnaire was sent by e-mail and SMS to active MDs members of the SBOC. Descriptive statistics was used to evaluate the data. Statistical significance between the variables was tested by Pearson's Chi-squared test (p<0.05 was considered significance). Results: The survey was sent to 1,072 oncologists, and 398 (37.1%) answered at least part of it. One hundred and fifteen (28.9%) had followed patients who had used phosphoethanolamine. Among these, 14 (12.2%) observed adverse events and four (3.5%) attributed clinical benefit to the substance. Most of the oncologists (n=331; 83.2%) believe that it should only be used as part of a clinical trial protocol. Most physicians did not recommend this drug to their patients (n=311; 78.1%). Oncologists in Southeast, South and Midwest Brazil were more likely to have patients taking the drug compared to the Northern and Northeastern regions. Conclusion: This is the first survey to assess the opinion and experience of oncologists about this alternative therapy. Most oncologists in Brazil do not believe that synthetic phosphoethanolamine is active in cancer treatment, do not recommend its use without proper evaluation, and state that it should only be available to patients in the context of clinical trials.

scholarly journals Use of a Simple Anthropometric Measurement to Identify Low-Birth-Weight Infants in Enugu, Nigeria

2018 ◽  
Vol 5 ◽  
pp. 2333794X1878817
Author(s):  
Ndubuisi Kennedy Chukwudi ◽  
Huldah Ijeoma Nwokeukwu ◽  
Gilbert Nwadiakanma Adimorah
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Statistical Tests ◽  
Statistical Significance ◽  
Linear Regression Analysis ◽  
Cutoff Point ◽  
Chest Circumference ◽  
Anthropometric Measurement ◽  
Suitable Alternative ◽  
Study Population

Background. This prospective study was conducted to identify a suitable alternative to birth weight and establish its cutoff point to facilitate the identification of low-birth-weight (LBW) infants in Enugu, Southeast Nigeria. Methods. The study involved newborn babies within the first 48 hours of life. Five anthropometric measurements (head, chest, mid-arm and calf circumferences, as well as abdominal girth) were taken using a tape measure while supine length was measured with an aluminum infantometer. Birth weight was also recorded. Linear regression analysis was done to identify the measurement with the highest coefficient of determination with birth weight while its cutoff point was defined using a receiver operating characteristic curve. Standard statistical tests were used to determine the statistical significance of the findings. Results. The LBW prevalence for the study population was 21.41%. Chest circumference had the highest R2 value of 0.83 for the general study population and 0.72 for the LBW infants. The identified cutoff point for chest circumference is ⩽30 cm. Conclusion. Chest circumference is the best alternative to birth weight in identifying LBW babies within the first 48 hours of life in this environment.

scholarly journals Seroprevalence of SARS-CoV-2 infection in a municipality in southern Brazil

2021 ◽  
Vol 10 (9) ◽  
pp. e30710917996
Author(s):  
Maria Joana Carvalho e Silva ◽  
Kassia Kramer ◽  
Yasmim Paula Cesco ◽  
Kendy Otak ◽  
Andréia Machado Cardoso ◽  
...  
Keyword(s):  
Rna Virus ◽  
Rapid Test ◽  
Epidemiological Studies ◽  
Population Based ◽  
Southern Brazil ◽  
Cross Sectional ◽  
Population Based Study ◽  
Rapid Spread ◽  
And Control ◽  
The City

SARS-CoV-2 is an RNA virus, responsible for causing an acute respiratory syndrome, which became known worldwide for its rapid spread and for causing the pandemic of a new disease: COVID-19. Thus, epidemiological studies have been developed in order to determine the extent of the problems and the magnitude of the disease. The present study aimed to evaluate the seroprevalence of SARS-CoV-2 infection and its relationship with socio-demographic and clinical-epidemiological factors in the city of Chapecó, Santa Catarina, Brazil. It was a quantitative, epidemiological, observational, cross-sectional, population-based study with 2179 participants. Socio-demographic, associated behavioral, aggravating and comorbid parameters were evaluated, relating them to positivity or not in the rapid test implemented. The rapid test identified 22.2% of the diagnosed seroprevalence of COVID-19 in the municipality in question. A higher incidence of cases was observed in people living with other people, in people who had contact with positive cases, and in symptomatic patients, corroborating with current studies. The results highlight the importance of clinical-epidemiological studies for the understanding and control of COVID-19.

scholarly journals Comparison study of sixteen differential abundance testing methods using two large Parkinson disease gut microbiome datasets

2021 ◽  
Author(s):  
Zachary D Wallen
Keyword(s):  
Parkinson Disease ◽  
Gut Microbiome ◽  
Complex Disease ◽  
Statistical Tests ◽  
Testing Methods ◽  
Differential Abundance ◽  
Healthy State ◽  
Microbiome Data ◽  
Log Ratio ◽  
The Relationship

Background: When studying the relationship between the microbiome and a disease, a common question asked is what individual microbes are differentially abundant between a disease and healthy state. Numerous differential abundance (DA) testing methods exist and range from standard statistical tests to methods specifically designed for microbiome data. Comparison studies of DA testing methods have been performed, but none were performed on microbiome datasets collected for the study of real, complex disease. Due to this, we performed DA testing of microbial genera using 16 DA methods in two large, uniformly collected gut microbiome datasets on Parkinson disease (PD), and compared their results. Results: Pairwise concordances between methods ranged from 46%-99% similarity. Average pairwise concordance per dataset was 76%, and dropped to 62% when taking replication of signals across datasets into account. Certain methods consistently resulted in above average concordances (e.g. Kruskal-Wallis, ALDEx2, GLM with centered-log-ratio transform), while others consistently resulted in lower than average concordances (e.g. edgeR, fitZIG). Overall, ~80% of genera tested were detected as differentially abundant by at least one method in each dataset. Requiring associations to replicate across datasets reduced significant signals by almost half. Further requirement of signals to be replicated by the majority of methods (≥8) yielded 19 associations. Only one genus (Agathobacter) was replicated by all methods. Use of hierarchical clustering revealed three groups of DA signatures that were (1) replicated by the majority of methods and included genera previously associated with PD, (2) replicated by few or no methods, and (3) replicated by a subset of methods and included rarer genera, all enriched in PD. Conclusions: Differential abundance tests yielded varied results. Using one method on one dataset may find true associations, but may also detect non-reproducible signals, adding to inconsistency in the literature. To help lower false positives, one might analyze data with two or more DA methods to gauge concordance, and use a built-in replication dataset to show reproducibility. This study corroborated previously reported microorganism associations in PD, and revealed a potential new group of microorganisms whose abundance is significantly elevated in PD, and might be worth pursuing in future investigations.

scholarly journals Pilot Assessment of a Rapid Test for the Detection of COVID-19 Disease by Using Latex Agglutination

2021 ◽  
Vol 8 (8) ◽  
Author(s):  
Cariaga-Martínez A ◽  
◽  
Gutiérrez KJ ◽  
Alelú-Paz R ◽  
◽  
...  
Keyword(s):  
Rapid Detection ◽  
Scientific Community ◽  
Rapid Test ◽  
Antibody Test ◽  
Latex Agglutination ◽  
Complementary Method ◽  
Viral Particles ◽  
Rapid Spread ◽  
Large Populations ◽  
Containment Measures

The rapid spread of the SARS-CoV-2 virus, which was declared a pandemic by the WHO in March 2020, has forced the scientific community to develop rapid detection tests in order to detect positive cases and implement the containment measures established in each country. In this regard, the techniques used (RTPCR, antibody test, etc.) have a number of drawbacks: require specialized personnel, in addition to, in some cases, obtaining results after 24 hours. Agglutination tests, widely used in the detection of viral particles, represent a simple, inexpensive and scalable method that would allow screening studies to be carried out in large populations. In this paper, we present a SARS-CoV-2 detection test based on this methodology, which could be considered as a complementary method to the techniques used for the detection of SARSCoV-2.

scholarly journals Mining Connected Vehicle Data for Beneficial Patterns in Dubai Taxi Operations

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Raj Bridgelall ◽  
Pan Lu ◽  
Denver D. Tolliver ◽  
Tai Xu
Keyword(s):  
Large Scale ◽  
Statistical Tests ◽  
Poor Quality ◽  
Connected Vehicle ◽  
Cleaning Method ◽  
Mobility Data ◽  
Automated Method ◽  
Vehicle Data ◽  
Chi Squared ◽  
Trip Production

On-demand shared mobility services such as Uber and microtransit are steadily penetrating the worldwide market for traditional dispatched taxi services. Hence, taxi companies are seeking ways to compete. This study mined large-scale mobility data from connected taxis to discover beneficial patterns that may inform strategies to improve dispatch taxi business. It is not practical to manually clean and filter large-scale mobility data that contains GPS information. Therefore, this research contributes and demonstrates an automated method of data cleaning and filtering that is suitable for such types of datasets. The cleaning method defines three filter variables and applies a layered statistical filtering technique to eliminate outlier records that do not contribute to distributions that match expected theoretical distributions of the variables. Chi-squared statistical tests evaluate the quality of the cleaned data by comparing the distribution of the three variables with their expected distributions. The overall cleaning method removed approximately 5% of the data, which consisted of errors that were obvious and others that were poor quality outliers. Subsequently, mining the cleaned data revealed that trip production in Dubai peaks for the case when only the same two drivers operate the same taxi. This finding would not have been possible without access to proprietary data that contains unique identifiers for both drivers and taxis. Datasets that identify individual drivers are not publicly available.

Customer experience management in medical tourism (case study: Iranian hospital’s medical tourists)

2021 ◽  
Vol 13 (1) ◽  
pp. 198-226
Author(s):  
Hamed Dabaghi ◽  
Saeid Saieda Ardakani ◽  
Seyed Mohammad Tabataba’i-Nasab
Keyword(s):  
Medical Tourism ◽  
Statistical Tests ◽  
Statistical Significance ◽  
Data Gathering ◽  
Customer Experience ◽  
Research Literature ◽  
Content Type ◽  
Research Areas ◽  
Customer Experience Management ◽  
Data Saturation

Purpose The purpose of this paper is to focus on the emerging phenomenon of medical tourism in the context of Iran from a customer experience management perspective and benchmark of their judgment including positive or negative, of the experience they have achieved of the Iranian health (medical) experience (CE) and suggest scenarios for the improvement of the Iranian customer experience management (CEM). Design/methodology/approach The research methodologies and research methods that are used in this descriptive-analytical research are based on an inspection of the remarkable literature related to medical tourism and customer experience management. The data gathering instrument is a researcher-made questionnaire based on the variables in the conceptual model extracted from the research literature. The study was conducted from May to August 2019. The population cohort of this study was the foreign patients calling selected Iranian hospitals and the sampling method was a purposive and snowball sample of prospective medical tourists. As the study was conducted throughout Iran, some important hospitals in Iran were selected by stratified sampling Yang et al. (2020b). The sample size and data saturation were 500 participants Lv and Song (2019). The collected data using the questionnaire were analyzed by SPSS software and statistical tests. Findings According to the results, the customer experience management statistical significance in the task aspect is (p = 0.0523), in the mechanical aspect is (p = 0.0563), in the human aspect is (p = 0.0544). The study showed positive customer experience among the patients who had been treated in the Iranian hospitals. Originality/value There is a lack of study that focuses on medical tourism and customer experience management in Iran. Therefore, based on the results of this study, the experience of medical tourists in Iran proved to be positive and satisfying. As little research has been conducted in the area of customer experience management (CEM) in Iranian medical tourism, future researchers can use these valuable results precisely and in more detail to benchmark more accurately the customer experience in all areas of medical and health tourism and other research areas in different aspects of CEM in Iran.

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