scholarly journals Covid-19 and Surgery

KYAMC Journal ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 172-181
Author(s):  
ABM Moniruddin ◽  
Hossain Md Sabbir Raihan ◽  
Tanvirul Hasan ◽  
Salma Chowdhury ◽  
Baikaly Ferdous ◽  
...  
Keyword(s):  
Intensive Therapy ◽  
Primary Treatment ◽  
Surgical Team ◽  
Infected People ◽  
Non Invasive ◽  
Health Authorities ◽  
Institutional Treatment ◽  
Regional Health Authorities ◽  
Novel Coronavirus ◽  
Second World

The severe acute respiratory syndrome (SARS) caused by the super-infectious, super-spreading, super-mutating novel coronavirus-2 (Covid-19) is responsible for the worldwide overwhelming panic and pandemic with a huge burden of suffering patients at a time. It has been causing alarming morbidity and unexpected mortality, shortening life span of many people that hadn’t happened since the second world war. It was first identified in Wuhan, China in the last months of 2019. The clinical scenario presents in the form of asymptomatic, mild, moderate and severe illnesses. More than 80% patients are either asymptomatic who transmit it to others and have a mild influenza-like illness clinically not different from common cold. The moderate and severe cases commonly need supervised home or institutional treatment. Many of the latter need intensive therapy that includes non-invasive and invasive ventilation along with other measures and medications. The treatment is principally conservative, HDU- and ICU-dependent. Surgery has no role as its primary treatment. But protection of surgical team and non-infected patients remains as a challenge to surgeons and hospital authorities. Many of the mutant variants now show resistance to antibodies generated by spike protein based and m-RNA based vaccines. The threat of infection still persists making surgeons overwhelmingly concerned while performing emergency, elective and cancer surgeries. This article describes some guidelines to be followed by the operating surgeons, hospital and regional health authorities to minimize the risks of spreading the disease and to protect the surgical team and other non-infected people from being infected. KYAMC Journal. 2021;12(3): 172-181

scholarly journals A Note on COVID-19 Diagnosis Number Prediction Model in China

2021 ◽  
Author(s):  
Yi Li ◽  
Xianhong Yin ◽  
Meng Liang ◽  
Xiaoyu Liu ◽  
Meng Hao ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Future Trend ◽  
Disease Prediction ◽  
The Novel ◽  
Limited Impact ◽  
Infected People ◽  
Health Authorities ◽  
Novel Coronavirus ◽  
New Diagnosis ◽  
The Mathematical Model

Abstract Objective: In December 2019, pneumonia infected with the novel coronavirus burst in Wuhan, China. We aimed to use a mathematical model to predict number of diagnosed patients in future to ease anxiety on the emergent situation. Methods: According to all diagnosis number from WHO website and combining with the transmission mode of infectious diseases, the mathematical model was fitted to predict future trend of outbreak. Our model was based on the epidemic situation in China, which could provide referential significance for disease prediction in other countries, and provide clues for prevention and intervention of relevant health authorities. In this retrospective, all diagnosis number from Jan 21 to Feb 10, 2020 reported from China was included and downloaded from WHO website. We develop a simple but accurate formula to predict the next day diagnosis number: ，where N i is the total diagnosed patient till the i th day, and was estimated as 0.904 at Feb 10. Results: Based on this model, it is predicted that the rate of disease infection will decrease exponentially. The total number of infected people is limited; thus, the disease will have limited impact. However, new diagnosis will last to end of March. Conclusions: Through the establishment of our model, we can better predict the trend of the epidemic in China.

scholarly journals A Note on COVID-19 Diagnosis Number Prediction Model in China

2020 ◽  
Author(s):  
Yi Li ◽  
Xianhong Yin ◽  
Yi Wang ◽  
Meng Liang ◽  
Xiaoyu Liu ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Prediction Model ◽  
Disease Prediction ◽  
The Novel ◽  
Prevention And Intervention ◽  
Limited Impact ◽  
Infected People ◽  
Health Authorities ◽  
Novel Coronavirus ◽  
New Diagnosis

Abstract In December 2019, pneumonia infected with the novel coronavirus burst in Wuhan, China. We aimed to use a mathematical model to predict number of diagnosed patients in future to ease anxiety on the emergent situation. Our model was based on the epidemic situation in China, which could provide referential significance for disease prediction in other countries, and provide clues for prevention and intervention of relevant health authorities. In this retrospective, all diagnosis number from Jan 21 to Feb 10, 2020 reported from China was included and downloaded from WHO website. We develop a simple but accurate formula to predict the next day diagnosis number: N_i/N_(i-1) =〖(N_(i-1)/N_(i-2) )〗^α，where Ni is the total diagnosed patient till the ith day, and α was estimated as 0.904 at Feb 10. Based on this model, it is predicted that the rate of disease infection will decrease exponentially. The total number of infected people is limited; thus, the disease will have limited impact. However, new diagnosis will last to end of March. Through the establishment of our model, we can better predict the trend of the epidemic in China.

scholarly journals A Note on COVID-19 Diagnosis Number Prediction Model in China

2020 ◽  
Author(s):  
Yi Li ◽  
Xianhong Yin ◽  
Meng Liang ◽  
Xiaoyu Liu ◽  
Meng Hao ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Scientific Information ◽  
Future Trend ◽  
The Novel ◽  
Infected People ◽  
The Public ◽  
Health Authorities ◽  
Novel Coronavirus ◽  
New Diagnosis ◽  
The Mathematical Model

AbstractImportanceTo predict the diagnosed COVID-19 patients and the trend of the epidemic in China. It may give the public some scientific information to ease the fear of the epidemic.ObjectiveIn December 2019, pneumonia infected with the novel coronavirus burst in Wuhan, China. We aimed to use a mathematical model to predict number of diagnosed patients in future to ease anxiety on the emergent situation.DesignAccording to all diagnosis number from WHO website and combining with the transmission mode of infectious diseases, the mathematical model was fitted to predict future trend of outbreak.SettingOur model was based on the epidemic situation in China, which could provide referential significance for disease prediction in other countries, and provide clues for prevention and intervention of relevant health authorities.ParticipantsIn this retrospective, all diagnosis number from Jan 21 to Feb 10, 2020 reported from China was included and downloaded from WHO website.Main Outcome(s) and Measure(s)We develop a simple but accurate formula to predict the next day diagnosis number:,where Ni is the total diagnosed patient till the ith day, and α was estimated as 0.904 at Feb 10.ResultsBased on this model, it is predicted that the rate of disease infection will decrease exponentially. The total number of infected people is limited; thus, the disease will have limited impact. However, new diagnosis will last to March.Conclusions and RelevanceThrough the establishment of our model, we can better predict the trend of the epidemic in China.

scholarly journals On the optimal control of coronavirus (2019-nCov) mathematical model; a numerical approach

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
N. H. Sweilam ◽  
S. M. Al-Mekhlafi ◽  
A. O. Albalawi ◽  
D. Baleanu
Keyword(s):  
Mathematical Model ◽  
Optimal Control ◽  
Weighted Average ◽  
Necessary Optimality Conditions ◽  
Numerical Approach ◽  
Population Number ◽  
Infected People ◽  
The Stability ◽  
Novel Coronavirus ◽  
Theoretical Results

Abstract In this paper, a novel coronavirus (2019-nCov) mathematical model with modified parameters is presented. This model consists of six nonlinear fractional order differential equations. Optimal control of the suggested model is the main objective of this work. Two control variables are presented in this model to minimize the population number of infected and asymptotically infected people. Necessary optimality conditions are derived. The Grünwald–Letnikov nonstandard weighted average finite difference method is constructed for simulating the proposed optimal control system. The stability of the proposed method is proved. In order to validate the theoretical results, numerical simulations and comparative studies are given.

scholarly journals Indoor Environmental Quality in Dwellings and Lifestyle Behaviors during the COVID-19 Pandemic: Russian Perspective

2021 ◽  
Vol 18 (11) ◽  
pp. 5975
Author(s):  
Vladimir Reshetnikov ◽  
Oleg Mitrokhin ◽  
Elena Belova ◽  
Victor Mikhailovsky ◽  
Maria Mikerova ◽  
...  
Keyword(s):  
Public Health ◽  
Medical Students ◽  
Environmental Quality ◽  
Indoor Environmental Quality ◽  
Lifestyle Behaviors ◽  
Contagious Diseases ◽  
Health Authorities ◽  
Public Health Authorities ◽  
Isolation Index ◽  
Novel Coronavirus

The novel coronavirus (COVID-19) outbreak is a public health emergency of international concern, and as a response, public health authorities started enforcing preventive measures like self-isolation and social distancing. The enforcement of isolation has consequences that may affect the lifestyle-related behavior of the general population. Quarantine encompasses a range of strategies that can be used to detain, isolate, or conditionally release individuals or populations infected or exposed to contagious diseases and should be tailored to circumstances. Interestingly, medical students may represent an example of how the COVID-19 pandemic can form new habits and change lifestyle behaviors. We conducted a web-based survey to assess changes in lifestyle-related behavior of self-isolated medical students during the COVID-19 pandemic. Then we analyzed the sanitary-hygienic regulations of the Russian Federation to determine the requirements for healthy buildings. Results showed that during the pandemic, the enforcement of isolation affects medical students’ lifestyle-related behavior and accompanies an increase in non-communicable diseases (NCDs). Indoor environmental quality (IEQ) and healthy buildings are cutting-edge factors in preventing COVID-19 and NCDs. The Russian sanitary-hygienic regulations support improving this factor with suitable requirements for ventilation, sewage, waste management, and disinfection. Herein, assessing isolation is possible through the hygienic self-isolation index.

scholarly journals Short-Term Prediction of COVID-19 Cases Using Machine Learning Models

2021 ◽  
Vol 11 (9) ◽  
pp. 4266
Author(s):  
Md. Shahriare Satu ◽  
Koushik Chandra Howlader ◽  
Mufti Mahmud ◽  
M. Shamim Kaiser ◽  
Sheikh Mohammad Shariful Islam ◽  
...  
Keyword(s):  
Machine Learning ◽  
Web Application ◽  
Learning Models ◽  
Short Term ◽  
Infected People ◽  
Infected Case ◽  
First Case ◽  
Novel Coronavirus ◽  
Short Term Prediction ◽  
Machine Learning Models

The first case in Bangladesh of the novel coronavirus disease (COVID-19) was reported on 8 March 2020, with the number of confirmed cases rapidly rising to over 175,000 by July 2020. In the absence of effective treatment, an essential tool of health policy is the modeling and forecasting of the progress of the pandemic. We, therefore, developed a cloud-based machine learning short-term forecasting model for Bangladesh, in which several regression-based machine learning models were applied to infected case data to estimate the number of COVID-19-infected people over the following seven days. This approach can accurately forecast the number of infected cases daily by training the prior 25 days sample data recorded on our web application. The outcomes of these efforts could aid the development and assessment of prevention strategies and identify factors that most affect the spread of COVID-19 infection in Bangladesh.

scholarly journals Recruitment into psychiatry

1996 ◽  
Vol 20 (3) ◽  
pp. 177-177 ◽  
Author(s):  
David Storer
Keyword(s):  
Advisory Committee ◽  
Manpower Planning ◽  
Regional Health ◽  
Senior Registrar ◽  
Adequate Supply ◽  
Health Authorities ◽  
Joint Planning ◽  
Regional Health Authorities

The major problem of manpower planning in psychiatry has until fairly recently been one of securing enough posts in the training grades to place doctors wishing to train in psychiatry and to ensure an adequate supply of applicants for consultant posts. Numerous consultant vacancies and a ‘bottleneck’ between registrar and senior registrar grades was the frustrating combination largely consequent upon the failure of some regional health authorities to fund the posts which Joint Planning Advisory Committee (JPAC) had approved.

The Challenges of Biomedical Waste Management During the Ongoing Coronavirus Disease-19 (COVID-19) Pandemic: The Current Scenario

2021 ◽  
Vol 13 ◽  
Author(s):  
Sabitha Vadakedath ◽  
Venkataramana Kandi ◽  
Tarun Kumar Suvvari ◽  
L V Simhachalam Kutikuppala ◽  
Vikram Godishala ◽  
...  
Keyword(s):  
Healthcare Workers ◽  
Complex Nature ◽  
The Novel ◽  
Waste Collection ◽  
Biomedical Waste ◽  
Infected People ◽  
Life Threatening ◽  
Current Scenario ◽  
Constant Observation ◽  
Novel Coronavirus

: The novel Coronavirus (SARS-CoV-2) that has emerged and spread throughout the world causing CoV disease-19 (COVID-19) has since its discovery affected not only humans and animals but also the environment. Because of the highly infectious nature of the virus, and the respiratory aerosol transmission route, face masks and personal protective equipment have become mandatory for public and healthcare workers, respectively. Also, the complex nature of the pathogenicity of the virus, wherein, it has been associated with mild, moderate, and severe life-threatening infections, has warranted increased laboratory testing and placing the infected people in isolation and under constant observation in quarantine centers or at dedicated hospitals. Some infected people, who are generally healthy, and do not show symptoms have been placed in home quarantines. At this juncture, there has been increased amount of biomedical waste (BMW), and infectious general waste along with plastic disposable recyclable and non-recyclable waste. The increased BMW along with the potentially hazardous plastic waste collection, segregation, transport, and disposal has assumed increased significance during the ongoing pandemic. Therefore, this review attempts to investigate the current scenario of BMW management and strategies to minimize BMW and prevent potential environmental pollution.

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