scholarly journals Population normalisation in wastewater-based epidemiology for improved understanding of SARS-CoV-2 prevalence: A multi-site study

2021 ◽  
Author(s):  
Chris Sweetapple ◽  
Matthew John Wade ◽  
Jasmine M. S. Grimsley ◽  
Joshua T. Bunce ◽  
Peter Melville-Shreeve ◽  
...  
Keyword(s):  
Single Site ◽  
Ammoniacal Nitrogen ◽  
Test Results ◽  
National Statistics ◽  
Significant Variability ◽  
Coronavirus Infection ◽  
A Site ◽  
The Impact

This paper aims to determine whether population normalisation significantly alters the SARS-CoV-2 trends revealed by wastewater-based epidemiology, and whether it is beneficial and/or necessary to provide an understanding of prevalence from wastewater SARS-CoV-2 concentrations. It uses wastewater SARS-CoV-2 data collected from 394 sampling sites, and implements normalisation based on concentrations of a) ammoniacal nitrogen, and b) orthophosphate. Wastewater SARS-CoV-2 metrics are evaluated at a site and aggregated level against three indicators prevalence, based on positivity rates from the Office for National Statistics Coronavirus Infection Survey and test results reported by NHS Test and Trace. Normalisation is shown to have little impact on the overall trends in the wastewater SARS-CoV-2 data on average. However, significant variability between the impact of population normalisation at different sites, which is not evident from previous WBE studies focussed on a single site, is also revealed. Critically, it is demonstrated that while the impact of normalisation on SARS-CoV-2 trends is small on average, it is not reasonable to conclude that it is always insignificant. When averaged across many sites, normalisation strengthens the correlation between wastewater SARS-CoV-2 data and indicators of prevalence; however, confidence in the improvement is low. Lastly, it is noted that most data were collected during periods of national lockdown and/or local restrictions, and thus the impacts and benefits of population normalisation are expected to be higher when normal travel habits resume.

Mechanisms of liver damage in COVID-19

2020 ◽  
Vol 1 (19) ◽  
pp. 39-46
Author(s):  
T. V. Pinchuk ◽  
N. V. Orlova ◽  
T. G. Suranova ◽  
T. I. Bonkalo
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Transplantation ◽  
Risk Factor ◽  
Liver Disease ◽  
Liver Function ◽  
Liver Damage ◽  
The World ◽  
Coronavirus Infection ◽  
The Impact ◽  
Analyze Data

At the end of 2019, a new coronavirus (SARS-CoV-2) was discovered in China, causing the coronavirus infection COVID-19. The ongoing COVID-19 pandemic poses a major challenge to health systems around the world. There is still little information on how infection affects liver function and the significance of pre-existing liver disease as a risk factor for infection and severe COVID-19. In addition, some drugs used to treat the new coronavirus infection are hepatotoxic. In this article, we analyze data on the impact of COVID-19 on liver function, as well as on the course and outcome of COVID-19 in patients with liver disease, including hepatocellular carcinoma, or those on immunosuppressive therapy after liver transplantation.

Fictive Fathers in the Field

2020 ◽  
Vol 1 (3) ◽  
pp. 265-273
Author(s):  
Katrina Daly Thompson
Keyword(s):  
Cultural Studies ◽  
Ethnographic Research ◽  
A Site ◽  
The Impact

Through my own narrative about my relationship with my fictive father in Zanzibar and the impact of this relationship on my research, in this autoethnographic essay I explore three themes: fictiveness, fatherhood, and the field. These themes tie together different aspects of the term “patriography,” linking them to ethnography and its subgenre autoethnography. Drawing on the term “patriography” as the science or study of fathers, I use the concept of “the field” to examine the impact of narratives about fathers on not only the field as a site of ethnographic research but also on the field of African cultural studies.

Association and treatment of diabetes in patients affected by Covid-19

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1198-1201
Author(s):  
Syed Yasir Afaque
Keyword(s):  
Diabetes Mellitus ◽  
Prognostic Value ◽  
Heart Diseases ◽  
The Novel ◽  
The World ◽  
Treatment Of Diabetes ◽  
Coronavirus Infection ◽  
Composite Outcomes ◽  
Novel Coronavirus ◽  
The Impact

In December 2019, a unique coronavirus infection, SARS-CoV-2, was first identified in the province of Wuhan in China. Since then, it spread rapidly all over the world and has been responsible for a large number of morbidity and mortality among humans. According to a latest study, Diabetes mellitus, heart diseases, Hypertension etc. are being considered important risk factors for the development of this infection and is also associated with unfavorable outcomes in these patients. There is little evidence concerning the trail back of these patients possibly because of a small number of participants and people who experienced primary composite outcomes (such as admission in the ICU, usage of machine-driven ventilation or even fatality of these patients). Until now, there are no academic findings that have proven independent prognostic value of diabetes on death in the novel Coronavirus patients. However, there are several conjectures linking Diabetes with the impact as well as progression of COVID-19 in these patients. The aim of this review is to acknowledge about the association amongst Diabetes and the novel Coronavirus and the result of the infection in such patients.

Model estimates of the results of diabetes patients using modern glucometers with tri-color technology for displaying test results

2019 ◽  
pp. 81-89
Author(s):  
Larisa Dmitrievna Popovich ◽  
Svetlana Valentinovna Svetlichnaya ◽  
Aleksandr Alekseevich Moiseev
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Economic Benefits ◽  
Test Results ◽  
Self Monitoring ◽  
Patients With Diabetes ◽  
The Impact

Diabetes – a disease in which the effect of the treatment substantially depends on the patient. Known a study showed that the use of glucometers with the technology of three-color display of test results facilitates self-monitoring of blood sugar and leads to a decrease in glycated hemoglobin (HbAlc). Purpose of the study: to modeling the impact of using of a glucometer with a color-coded display on the clinical outcomes of diabetes mellitus and calculating, the potential economic benefits of reducing the hospitalization rate of patients with diabetes. Material and methods. Based on data from two studies (O. Schnell et al. and M. Baxter et al.) simulation of the reduction in the number of complications with the use of a glucometer with a color indication. In a study by O. Schnell et al. a decrease of HbA1c by 0.69 percent is shown when using the considered type of glucometers, which was the basis of the model. Results. In the model, the use of a glucometer with a color-coded display for type 1 diabetes led to a decrease in the total number of complications by 9.2 thousand over 5 years per a cohort of 40 thousand patients with different initial levels of HbA1c. In a cohort of 40 thousand patients with type 2 diabetes, the simulated number of prevented complications was 1.7 thousand over 5 years. When extrapolating these data to all patients with diabetes included in the federal register of diabetes mellitus (FRD), the number of prevented complications was 55.4 thousand cases for type 1 diabetes and 67.1 thousand cases for type 2 diabetes. The possible economic effect from the use of the device by all patients with a diagnosis of diabetes, which are included in the FRD, estimated at 1.5 billion rubles for a cohort of patients with type 1 diabetes and 5.3 billion rubles for patients with type 2 diabetes. Conclusion. Improving the effectiveness of self-monitoring, which is the result of the use of glucometers with color indicators, can potentially significantly reduce the incidence of complications in diabetes and thereby provide significant economic benefits to society.

Dynamic Comparison of the Fruit Sector and the Pollution Associated to Agriculture

2018 ◽  
Vol 69 (10) ◽  
pp. 2776-2780
Author(s):  
Valentina Constanta Tudor ◽  
Ionela Mituko Vlad ◽  
Diana Zamfir Vasca
Keyword(s):  
Agricultural Production ◽  
Descriptive Statistics ◽  
The Public ◽  
Perennial Plants ◽  
National Statistics ◽  
The Impact

Pollution in agriculture plays a major role. One of the sector affected by this phenomenon is the perennial plants, such as fruits sector. This sector is an important part of agricultural production in Romania, mainly because of the areas that have been dedicated; that is why the sector should be reconsidered because it could be one of the engines of the agriculture. This have to led to important efforts and increased attention in managing the opportunities offered by the development of the associations and producer groups involved. The present paper aims to address certain aspects of the national, macro-regional and European aspects of these fruits productions and the impact of the degree of pollution in agriculture. In this respect, data derived from the public databases dedicated to this field, namely Eurostat, the National Statistics Institute, DG Agriculture / FADN database and the Ministry of Agriculture, were used. The methods used to analyze and interpret the results are descriptive statistics, dynamics and comparisons between target areas and indicators. The results highlighted in the first part of the paper the Romania�s position upon the European average in what concern the fruit sector but also upon a competing country on the fruit market, Poland, which is considered to have a European top position.

The impact of traditional plants and their secondary metabolites in the discovery of COVID-19 treatment

2020 ◽  
Vol 26 ◽  
Author(s):  
Shabana Bibi ◽  
Ayesha Sarfraz ◽  
Ghazala Mustafa ◽  
Zeeshan Ahmed ◽  
Muhammad Aurang Zeb ◽  
...  
Keyword(s):  
Secondary Metabolites ◽  
Test System ◽  
Chemical Information ◽  
System Type ◽  
The Family ◽  
Comprehensive Search ◽  
Coronavirus Infection ◽  
The Impact ◽  
First Time ◽  
Plant Sources

Background: Coronavirus Disease-2019 belongs to the family of viruses which cause a serious pneumonia along with fever, breathing issues and infection of lungs for the first time in China and later spread worldwide. Objective: Several studies and clinical trials have been conducted to identify potential drugs and vaccines for Coronavirus Disease-2019. The present study listed natural secondary metabolites identified from plant sources with antiviral properties and could be safer and tolerable treatment for Coronavirus Disease-2019. Methods: A comprehensive search on the reported studies was conducted using different search engine such as Google scholar, SciFinder, Sciencedirect, Medline PubMed, and Scopus for the collection of research articles based on plantderived secondary metabolites, herbal extracts, and traditional medicine for coronavirus infections. Results: Status of COVID-19 worldwide and information of important molecular targets involved in COVID-19 is described and through literature search, is highlighted that numerous plant species and their extracts possess antiviral properties and studied with respect to Coronavirus treatments. Chemical information, plant source, test system type with mechanism of action for each secondary metabolite is also mentioned in this review paper. Conclusion: The present review has listed plants that have presented antiviral potential in the previous coronavirus pandemics and their secondary metabolites which could be significant for the development of novel and a safer drug which could prevent and cure coronavirus infection worldwide.

Impact of Novel Coronavirus (COVID-19) on Pregnant Women: A Review

Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Saima Habeeb ◽  
Manju Chugani
Keyword(s):  
Pregnant Women ◽  
Vertical Transmission ◽  
Respiratory Infections ◽  
Age Groups ◽  
Well Being ◽  
Fetal Outcome ◽  
Global Public Health ◽  
Coronavirus Infection ◽  
Novel Coronavirus ◽  
The Impact

: The novel coronavirus infection (COVID‐19) is a global public health emergency.Since its outbreak in Wuhan, China in December 2019, the infection has spread at an alarming rate across the globe and humans have been locked down to their countries, cities and homes. As of now, the virus has affected over 20million people globally and has inflicted over 7 lac deaths. Nevertheless, the recovery rate is improving with each passing day and over 14 million people have recuperated so far. The statistics indicate that nobody is immune to the disease as the virus continues to spread among all age groups; newborns to the elders, and all compartmentsincluding pregnant women. However, pregnant women may be more susceptible to this infection as they are, in general, highly vulnerable to respiratory infections. There is no evidence for vertical transmission of the COVID-19 virus among pregnant women, but an increased prevalence of preterm deliveries. Besides this, the COVID-19 may alter immune response at the maternal-fetal interface and affect the well-being of mothers as well as infants. Unfortunately, there is limited evidence available in the open literature regarding coronavirus infection during pregnancy and it now appears that certain pregnant women have infected during the present 2019-nCoV pandemic. In this short communication, we study the impact of the COVID-19 infection on vertical transmission and fetal outcome among pregnant women.

scholarly journals Crise Económica em Portugal: Evolução da Incidência de Depressão e Correlação com o Desemprego

2020 ◽  
Vol 33 (13) ◽  
Author(s):  
Inês Laplanche Coelho ◽  
Mafalda Sousa-Uva ◽  
Nuno Pina ◽  
Sara Marques ◽  
Carlos Matias-Dias ◽  
...  
Keyword(s):  
Social Vulnerability ◽  
Ecological Study ◽  
Preventive Measures ◽  
Portuguese Population ◽  
Sentinel Network ◽  
Unemployment Rates ◽  
Positive Correlation ◽  
National Statistics ◽  
Using Data ◽  
The Impact

Introduction: Previous studies have found an increase in the incidence rate of depression between 2007 – 2013 in Portugal, with a positive correlation with the unemployment rate, namely, in men. So, it was hypothesized that this increase is related with the situation of economic crisis. This study aimed to investigate if the correlation between unemployment rates and the incidence of depression is maintained in the post-crisis period of economic recovery in Portugal (2016 – 2018).Material and Methods: An ecological study was carried out, using data from the General Practitioners Sentinel Network concerning depression incidence (first episodes and relapses) and data from the National Statistics Institute on unemployment rates in the Portuguese population. The correlation coefficient was estimated using linear regression and the results were disaggregated by sex.Results: Between 2016 and 2018, there was a consistent decrease in the incidence of depression in both sexes. During the 1995 – 2018 period, a positive correlation was observed between unemployment and depression, with a coefficient of 0.833 (p = 0.005) in males and of 0.742 (p = 0.022) in females.Discussion: The reduction in the incidence of depression in both sexes observed between 2016 – 2018 corroborates a positive correlation between unemployment and depression in the Portuguese population, previously observed between 2007 – 2013.Conclusion: This study highlights the need to monitor the occurrence of mental illness in the Portuguese population, especially in moments of greatest social vulnerability in order to establish preventive measures, as a way to mitigate the impact of future economic crises.

Do hotel industry operations deteriorate air quality?

2021 ◽  
pp. 135481662110224
Author(s):  
Liang-Ju Wang ◽  
Ming-Hsiang Chen ◽  
Zhandong Yang ◽  
Ching-Hui (Joan) Su
Keyword(s):  
Air Quality ◽  
Hotel Industry ◽  
Second Step ◽  
Test Results ◽  
Sales Revenue ◽  
Key Indicator ◽  
Regression Test ◽  
Rolling Regression ◽  
The Impact ◽  
Regression Tests

This study proposes and tests two hypotheses concerning the effects of hotel industry operations on air quality based on data of 26 major tourist cities in China from 2002 to 2017. The empirical analyses take two steps. In the first step, panel regression test results reveal that hotel industry operations (measured by hotel sales revenue) significantly raise the value of particulate matter (PM)2.5 (the key indicator of air quality), supporting the first hypothesis that hotel industry operations deteriorate air quality and providing empirical evidence of the adverse impact of the hotel industry on air quality. In the second step, subsample analyses support the second hypothesis that the impact of hotel sales revenue on air quality diminishes over time. The results from the rolling regression tests validate the existence of a diminishing effect of hotel industry operations on air quality.

scholarly journals Viscoelastic Properties of Cell Structures Manufactured Using a Photo-Curable Additive Technology—PJM

Polymers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1895
Author(s):  
Tomasz Kozior ◽  
Czesław Kundera
Keyword(s):  
Viscoelastic Properties ◽  
Cellular Structure ◽  
Material Selection ◽  
Cellular Structures ◽  
Test Results ◽  
Additive Technology ◽  
Polymer Resin ◽  
Cell Structures ◽  
Relaxation Curves ◽  
The Impact

This research paper reviews the test results involving viscoelastic properties of cellular structure models made with the PolyJet Matrix—PJM additive technology. The designed test specimens were of complex cellular structure and made of three various photo-curable polymer resin types. Materials were selected taking into account the so-called “soft” and “tough” material groups. Compressive stress relaxation tests were conducted in accordance with the recommendations of standard ISO 3384, and the impact of the geometric structure shape and material selection on viscoelastic properties, as well as the most favorable geometric variants of the tested cellular structure models were determined. Mathematica and Origin software was used to conduct a statistical analysis of the test results and determine five-parameter functions approximating relaxation curves. The most favorable rheological was adopted and its mean parameters determined, which enables to match both printed model materials and their geometry in the future, to make a component with a specific rheological response. Furthermore, the test results indicated that there was a possibility of modelling cellular structures within the PJM technology, using support material as well.

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