scholarly journals The prevalence of SARS-CoV-2 in sewage waste water: A review

2021 ◽  
Vol 8 (3) ◽  
pp. 185-190
Author(s):  
Rupak Kumar ◽  
Anuradha Saha
Keyword(s):  
Waste Water ◽  
Coming Out ◽  
Virus Disease ◽  
Mental Health Disorder ◽  
Effluent Water ◽  
Huge Number ◽  
Testing Facility ◽  
Number Of Patients ◽  
Second Wave ◽  
Water Waste

Since one and half years, the pandemic of SARS-CoV-2 virus (disease caused is Covid-19) has ruined the entire humanity in unimaginable ways, whether it is economy or unemployment or children mental health disorder or large number of deaths. There is no country in the world which is not affected by this virus. In some countries, this pandemic is coming in the form of outbreak such as first wave of pandemic then after some gap period, second wave of pandemic. In country like India, the second wave of corona pandemic has crippled the economy, public health safety and at the same time put a big question on the health infrastructure of entire nation whether it is availability of oxygen cylinders, or testing facility, hospital bed or ventilators. The actual number of patients who can get affected had not been estimated correctly. This poses more problems due to asymptomatic nature of the expression of COVID-19 on individual basis. Tragically, for developing countries like India with high population density, the situation has been more complex. Additionally, more amount of waste from the Covid affected population goes to effluent water, waste water coming out of residential area, hospitals, isolation centres and so on. In this review article, we have focused on presence of corona virus and infection transmission through effluent water in country like India with huge number of population and also provide further scope in research to inform future studies.

scholarly journals A comparative review of maternal and neonatal outcome among pregnant women with COVID-19 in first and second wave in a tertiary care centre of South Rajasthan

2021 ◽  
Vol 10 (12) ◽  
pp. 4471
Author(s):  
Divya Chaudhary ◽  
Madhubala Chauhan ◽  
Diksha Gupta ◽  
Shivraj Jat
Keyword(s):  
Pregnant Women ◽  
Neonatal Outcome ◽  
Virus Disease ◽  
Tertiary Care ◽  
Tertiary Care Centre ◽  
Maternal Deaths ◽  
Number Of Patients ◽  
Comparative Review ◽  
Second Wave ◽  
Neonatal Population

Background: Corona virus disease 2019 has taken a huge toll over health infrastructure and care all across the world. This article depicts our experience of COVID-19 in pregnant women and analyses maternal and neonatal outcome of same in first and second wave of this pandemic. Aim and objectives of the study were to compare the demographic characteristics, presenting features and fetomaternal outcome in COVID positive pregnant women in first v/s second wave in a tertiary care hospital.Methods: The RTPCR COVID-19 positive pregnant women admitted during the period April-2020 to March-2021 were considered in 1st wave of COVD-19 and that from April-2021 till June-2021 as 2nd wave of COVID-19. Data like baseline characteristics, past medical, obstetric history, clinical presentation, laboratory results, imaging findings, management modalities, maternal and neonatal outcome were analysed and compared.Results:  Peak of 1st wave of COVID-19 was found during the months of July-September 2020, while of 2nd in April-June 2021. Most women presented with COVID-19 RTPCR positive were asymptomatic both in 1st and 2nd wave. Though most patients were managed on room air in both waves, 6.52% and 9.38% were on oxygen, 1.09% and 10.94% were managed with mechanical ventilation and BIPAP in 1st and 2nd wave respectively. There was significant (p<0.05) increase in maternal deaths in the 2nd wave (7.03%) as compared to 1st wave (1.09%).Conclusions: A significantly large number of patients were affected in 2nd wave of COVID-19 pandemic with more morbidity and mortality. Neonatal population remained relatively unaffected in both waves.

First and second wave of COVID-19: A comparative study of tertiary care hospitalized patients in Jalgaon, Maharashtra

2021 ◽  
Vol 19 (3) ◽  
pp. 23-29
Author(s):  
Yogita G Bavaskar ◽  
Keyword(s):  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Clinical History ◽  
Care Hospital ◽  
Age Group ◽  
Number Of Patients ◽  
The Mean ◽  
Collection Form ◽  
Time Of Admission ◽  
Second Wave

Background: Most of the countries including India have witnessed two or more waves of Covid 19 pandemic. The present study was conducted to compare the differences in clinico-demographic characteristics and outcomes of Covid 19 patients admitted in first and second wave of Covid 19 pandemic in a tertiary care hospital at Jalgaon, Maharashtra. Methods: A retrospective observational study was conducted at a tertiary care Dedicated Covid hospital for Covid 19 at Jalgaon, Maharashtra. All microbiologically proven corona positive patients were included in the study. The demographic records and clinical history was extracted from the case history sheets of the patients from first as well as second wave using standardized data collection form. Clinical outcome of the patients, i.e., development of complications, death or discharge was also recorded for each enrolled subject. Results: 3845 patients of Covid-19 admitted in the hospital during the first wave of epidemic and 2956 patients during second wave of the epidemic were included in the study. The mean age of patients admitted in the second wave was significantly lower as compared to first [48.77(15.31) years vs 50.23 (14.33) years, P<0.005]. There is increase in proportion of patients in the age group of < 15 years in second wave as compared to first wave (74/2956, 2.5% vs 52/3845, 1.3%). The number of patients requiring admission in ICU at the time of admission increased by 13% in second wave as compared to first wave. [827/2956 (28%) vs 577/3845(15%), P<0.0001]. More than half of the patients who got admitted for Covid 19 in first as well as second wave were having one or more comorbidities.But the proportion of the patients with previous co-morbities was significantly higher in second wave (1684/2956, 57% vs 1960/ 3845, 51%, P= 0.0004). The mortality was also higher in second wave (533/2956, 18.03% vs 541/3845, 14%, P=0.0004). Conclusions: The demographic, clinical characteristics and outcome of Covid 19 patients was different in first and second wave of pandemic with involvement of younger patients, increased rates of admission to ICU and more mortality in the second wave as compared to first wave of the pandemic.

Medical Waste Management during COVID-19 Situation: Perspective Towards Safe Environment

2021 ◽  
Author(s):  
MANOJ KUMAR JINDAL ◽  
Dr. Santosh Kumar Sar
Keyword(s):  
Waste Management ◽  
Natural Resources ◽  
Medical Personnel ◽  
Safe Environment ◽  
Main Challenge ◽  
Number Of Patients ◽  
Open Dumping ◽  
The Government ◽  
Second Wave

The situation in the world of pandemics is rapidly changing, and the second wave of COVID-19 has put a lot of pressure on the government and private sector, which are primarily responsible for controlling the situation. COVID-19 positive cases have increased in recent months relative to last year, and the number of patients admitted to hospitals has also increased, despite the fact that few of them were denied admission due to shortage of beds. Normal people who experience any symptoms immediately isolate themselves and begin taking the COVID medications prescribed by medical personnel and their team. During these times, all domestic people tossed the wrappers and boxes of medicines into the regular trash can, and the waste was handed over to the waste collector, who treated it like any other domestic waste and disposed of it using open dumping or other methods. The goal of this perspective is to suggest the collections of these types of waste from domestics, and protect the natural resources like water, soil, and even living beings like animals from pollution (from the effect of SARS-CoV-2). The main challenge for environmental waste management agencies is determining who has COVID positive and which houses generate these types of waste; thus, proposed strategy may be beneficial to the long-term sustainability of natural resources and animals.

scholarly journals PEMANFAATAN POTENSI GAS METANA DI PABRIK KELAPA SAWIT SEI SILAU, PTPN3, SUMATERA UTARA

2016 ◽  
Vol 11 (3) ◽  
pp. 459
Author(s):  
Irhan Febijanto
Keyword(s):  
Waste Water ◽  
Chemical Oxygen Demand ◽  
Palm Oil ◽  
Water Discharge ◽  
Oxygen Demand ◽  
Ghg Emission ◽  
Global Warming Impact ◽  
Methane Gas ◽  
Palm Oil Mill ◽  
Water Waste

Water waste in Palm Oil Mill (POM) is not effectively utilized yet. Before waste water discharge from POM, the waste water is processed by an aerobic treatment in several ponds to decrease the influence of organic matter. Methane gas generated in the anaerobic ponds is a Green Gas House giving a contribution to global warming impact. In Palm Oil Mill of Sei Silau located in North Sumatera, the potential generated methane gas in two anaerobic ponds has been investigated using measurement of Chemical Oxygen Demand (COD) of waste water in the sites. Based on the potential generated methane gas, the reduction of GHG emission is calculated, and the feasibility of the project as CDM project was evaluated.Keywords : Pabrik Kelapa Sawit, gas metana, gas rumah kaca, proyek CDM (CleanDevelopment Mechanism),, COD (Chemical Oxygen Demand)

scholarly journals Myocardial perfusion scintigraphy during the COVID-19 pandemic - findings from the university teaching hospital in Slovenia

2021 ◽  
Vol 22 (Supplement_3) ◽  
Author(s):  
B Guzic Salobir ◽  
M Dolenc Novak ◽  
M Stalc
Keyword(s):  
Nuclear Medicine ◽  
Myocardial Perfusion ◽  
Clinical Characteristics ◽  
Myocardial Perfusion Scintigraphy ◽  
Stress Tests ◽  
Pharmacological Stress ◽  
Perfusion Scintigraphy ◽  
Number Of Patients ◽  
The University ◽  
Second Wave

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Department for nuclear medicine in the University medical centre Ljubljana provides nuclear medicine diagnostic procedures for approximately 1.000.000 inhabitants of Slovenia. As many countries in Europe, Slovenia was faced with the first wave of the COVID-19 pandemic in early spring of 2020. Since our country is situated next to the northern part of Italy, where the situation was critical, our Ministry of health issued specific recommendations in March 2020. The aim was to increase hospital capacities for COVID-19 patients through limiting non-urgent diagnostic tests including myocardial perfusion scintigraphy (MPS) and to minimize the spread of the virus into hospital departments. The epidemiologic situation of the first wave resolved within 3 months. In the second wave of the pandemic in autumn 2020, the recommendations on patient care in non COVID-19 cases were less limiting to avoid worsening of non COVID-19 related diseases and patient prognosis. Purpose The aim of our study was to evaluate the influence of the COVID-19 pandemic on MPS in our medical institution. Methods Data on numbers of MPS, clinical characteristics of the patients and findings of MPS were prospectively collected for the first wave (in spring from March 15th to June 15th 2020) and second wave (in autumn from September 15th to December 15th 2020) of the pandemic and were compared with the same periods in 2019.  Results During the first wave we performed 40% less MPS, significantly more patients had pharmacological stress and were outpatients than in spring 2019. There were no significant differences in other clinical characteristics and MPS findings (Table 1 and Figure 1). In autumn 2020 we reorganized our schedule to increase the number of patients, which was once again comparable to previous year’s autumn. Although the number of patients was comparable, patients were now significantly older and had more often pharmacological stress, but there were no significant differences in other clinical data or MPS findings (Table 1 and Figure 1). Conclusions In our hospital, during the first wave of COVID-19 pandemic, we performed significantly less MPS than in the same period of the previous year. To minimize the possibility of virus transmission from asymptomatic patients, we followed international recommendations and avoided exercise stress tests but increased the percentage of pharmacological stress tests. A similar approach regarding the type of stress tests was chosen for the second wave in autumn of 2020. However, we decided to increase the number of MPS performed, in order to lessen the negative impact of the pandemic on non COVID-19 related diseases, focusing on coronary artery disease.

scholarly journals Nutritional therapy of COVID-19 disease in Intensive care units

2021 ◽  
Vol 26 (83) ◽  
pp. 27-52
Author(s):  
Biljana Damnjanović ◽  
Đuro Šijan ◽  
Ivan Rović ◽  
Igor Lazić ◽  
Saša Knežević ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Negative Impact ◽  
Current Knowledge ◽  
Virus Disease ◽  
Nutritional Therapy ◽  
Hospital Treatment ◽  
Omega 3 ◽  
Corona Virus ◽  
Number Of Patients

Since the beginning of 2020, SARS-CoV 2 (Severe Acute Respiratory Syndrome - Corona Virus 2) has been in the focus of scientific circles and beyond. Finding the most efficient therapeutic protocol in prevention and treatment of the new and unknown COVID - 19 (Corona Virus Disease - 2019) disease has been indentified as especially important. SARS-CoV 2 uses various mechanisms to lead patients to malnutrition, which is detected by a higher frequency of admission to hospital treatment, especially on admission to the Intensive Care Unit (ICU). Malnutrition has a negative impact on the course and outcome of the disease. In the pandemic, the number of patients on various types of oxygen therapy and mechanical ventilation increased, and in correlation with that, there has been a greater need for knowledge and education of staff to use different diagnostic and therapeutic modalities and different approaches in feeding critically ill patients. Nutritional therapy is the basis for maintaining body weight, supporting respiratory function, as well as helping in the overall recovery of patients. Omega 3 fatty acids, vitamins C and D have shown potentially beneficial effects against COVID-19 diseases. The aim of this paper is to consolidate the current knowledge and recommendations in the field of nutritional therapy in patients with COVID-19 treated in the Intensive Care Unit.

scholarly journals A Content Review of News about Coronavirus Disease (COVID-19) at Media Prior to Emergence in Pakistan by the Year 2020

2021 ◽  
pp. 24-40
Author(s):  
Muhammad Ghafoor Ali ◽  
Saima Narjees Husain ◽  
Syed Imran Ahmad Shah
Keyword(s):  
Virus Disease ◽  
Rhetorical Analysis ◽  
Global Bifurcation ◽  
Viral Disease ◽  
Front Page ◽  
Main Stream ◽  
New Disease ◽  
Semiotic Analysis ◽  
First Case ◽  
Number Of Patients

The study has been carried as a review of news about coronavirus disease (COVID-19) published in main stream newspaper (Daily Jang) prior to emergence in Pakistan. The front page of newspaper Daily Jang-Pakistan was selected for evaluation of study. The duration of study was from 31st December 2019 to 27th February 2020.The data has been qualitatively analyzed about text analysis, interpretative analysis, discourse analysis, rhetorical analysis, narrative analysis, and semiotic analysis whereas quantitatively analyzed for increasing number of patients, death and global bifurcation of affected cases. The first case of COVID-19 apparently reported on 31st December 2019 in China and got place at front page of newspaper on 24th January 2020 with 571 affected persons and 17 deaths.By 28th January 2020 USA, Canada, Australia, France, Japan, Thailand, Taiwan, Vietnam, Singapore, Malaysia and Nepal were affected from new viral disease and till 5th of February 2020 more than two dozen countries confirmed about existence of new disease. China has taken immediate health interventions. Subsequently strategies were made in the world including Pakistan. WHO made global strategies to control new viral disease. Although most countries shifted their citizen from China however Pakistan did not removed their citizen from affected country. In the light of Hadith, Muslim Scholars advised that citizens of Pakistan should not be shifted outside China till control of disease. The scientist started to investigate new disease. The herbal medicine also used in public. Campaign on media started about awareness of new disease. The business activity found to be reduced due to disease. Necessary preventive arrangements were made by the aviation department. Pakistan also banned on import of animal and birds. The burial ceremonies of deceased due to COVID-19 were also limited for participation. Many operations like Haj, Umrah and Olympic 2020 expected to be affected due to new viral disease. However a common marriage found to be reported in South Korea. Dr.Ventiang died on 8th February 2020 who initially suspected and diagnosed for existence and origin of new disease. On 26th   February 2020 a news  on front page indicating to inner page that “many countries affected by corona virus disease and afterward on 27th February 2020 there was a main headline news on the front page that “Corona reached Pakistan.”

scholarly journals Clinical spectrum, geographical variability of COVID-19 and its implications

Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Md. Hasanul Banna Siam ◽  
Abdullah Al Mosabbir ◽  
Nahida Hannan Nishat ◽  
Ahsan Ahmed ◽  
Mohammad Sorowar Hossain
Keyword(s):  
Coming Out ◽  
Clinical Manifestations ◽  
Vital Role ◽  
Clinical Spectrum ◽  
Surveillance Strategy ◽  
Health Crisis ◽  
Atypical Symptoms ◽  
Public Health Crisis ◽  
Number Of Patients ◽  
The Common

: The coronavirus disease 2019 (COVID-19) pandemic has triggered a worldwide unprecedented public health crisis. Initially, COVID-19 was considered as a disease of the respiratory system as fever and at least one respiratory symptom was used to identify a suspected COVID-19 case. But there are now numerous reports of COVID-19 patients presenting with myriads of extrapulmonary symptoms and a substantial number of patients are asymptomatic as well. Additionally, there are significant clinical and epidemiological variations of severe acute respiratory syndrome coronavirus 2 (SARSCOV-2) infection across different geographical locations. The updated research thus challenges the existing surveillance system that is mainly based on fever and respiratory symptoms. As countries are coming out of lockdown to save economic fallout, a revised surveillance strategy is required to effectively identify and isolate the correct patients. Besides, since developing countries are becoming the new epicenters of pandemic and there are limited resources for RT-PCR based tests, so documenting the clinical spectrum can play a vital role in the syndromic clinical diagnosis of COVID-19. A plethora of atypical symptoms also aids in guiding better treatment and remains as a source for further research. It is therefore crucial to understand the common and uncommon clinical manifestations of SARS-COV-2 infection and its variability across different geographic regions.

scholarly journals Ensemble learning based classifier to predict depression caused due to pandemic

2021 ◽  
Vol 2089 (1) ◽  
pp. 012026
Author(s):  
P Vaishali ◽  
P L S Kumari
Keyword(s):  
Neural Network ◽  
Ensemble Learning ◽  
Text Classification ◽  
Virus Disease ◽  
Model Accuracy ◽  
Research Article ◽  
The World ◽  
Social Gathering ◽  
Second Wave

Abstract Pandemic caused due to Corona Virus Disease 2019 (COVID-19) affected each and every person life throughout the world. First wave of COVID-19 followed by second wave made situation more panic. Government declared Lockdown imposed strict prohibition on social gathering, unnecessary outing, travelling, and education. During home quarantine, people shared opinion, expressed views, feelings on social media. Home isolation and quarantine affected mental health of people which may lead to depression. Hence in this research article depression is predicted by implementing Neural Network based model. At first level this model implements text classification of COVID-19 based Tweets. Neural network model accuracy is 86.85%. In next level, using same tweet dataset as input, Ensemble learning based model is constructed. This model uses one of the boosting techniques known as Adaboost. Model is executed by varying Train-test-validation ratio. It is observed that accuracy of the model is improved. The model showed accuracy of 99.33 % successfully in every execution. Obtained results are compared with previous work in same area.

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