mpact of Pandemic – COVID 19 in Agrarian Part of the Country – A Study across Villages Adopted by Mount Carmel College, Autonomous, Bangalore

Govinda Gowda HG

This paper is showing that COVID19 has affected all walks of life. Protecting lives of people suffering from the disease as well as frontline health responders have been the priority of nations. Governments have swung into actions since the Corona virus attack created an unprecedented situation. India declared a three-week nation-wide lockdown till mid-April in the initial phase, which was subsequently extended for achieving satisfactory containment of the virus spread.

2020 ◽  
Vol 3 (1) ◽  
pp. 01-16
Rahmawati Aulia ◽  
Ririn Atika Sazlin ◽  
Liana Ismayani ◽  
Maman Sukiman ◽  
Habib Ratu Perwira Negara ◽  

The purpose of this study is to analyze the development of pandemics in all regions of Indonesia. the method used is the Newthon Rapshon interpolation method, to determine the percentage of the development of the corona virus spread in Indonesia and the method using a qualitative method by analyzing and describing data that has been simulated. The results obtained are predictions of covid-19 cases that occur in May, June, July until August, ie in those months there will be an increase in all cases that occur about this pandemic namely positive patients, recovered and died will continue to increase with a positive final conclusion> cured = died and obtained pn (x) = 2 for patients cured, pn(x) = 0 for cured and dead patients, in this study found pn(x) = 0 because the vaccine for this pandemic has not been found so the possibility of recovery and death has not been obtained its MAPE value, but an increase in cases of recovery is predicted to continue to occur as well as cases of death.

2020 ◽  
Vol 9 (2) ◽  
pp. 87-98
Carles Sitompul ◽  
Paulina Kus Ariningsih ◽  
Fran Setiawan

Recent developments on the worldwide spread of Corona Virus Diseases-19 (COVID-19) show the vulnerability of human beings to pandemic risks in terms of biological, social, and economic factors. While human lives are the most important factor, a proposed solution dealing with pandemics should be sustainable which also includes other factors. Quarantines and physical distancing have been seen as effective ways to slow down the spread of COVID-19.  We therefore propose a market scheduling model with multi-objectives to support physical distancing minimizing the number of people in a certain area in a given time (crowds) and minimizing the virus spread rates. An analytical model is proposed and solved for Bandung City. The results show some promising ideas on how to slow down the virus spread without compromising both health and economic objectives. The future potential research of the model is also presented.

2020 ◽  
Hemanta K. Baruah

AbstractIn Europe the Corona Virus spread had started to retard months ago, but after some time it has started to accelerate again. In this article, we are going to analyze the current COVID-19 spread patterns in Italy, the UK, Germany, Russia, Spain and France. We have found that the current spread has perhaps been underestimated as just the second wave. As per our analysis, as on 7 October the resurgence is much more vigorous than the first wave of spread of the disease. It is going to be most serious in Russia, followed by Italy, Germany and the UK, while in Spain and France the patterns are yet to take inferable shapes.

Prakash Kanade ◽  
Fortune David ◽  
Sunay Kanade

With the recent changes in this world due to the pandemic of COVID-19 came the need to change in technology with medical environments. There were few robotic surgeries done in medical field, but the pandemic has put the Doctors and health care workers at risk. So there came a need for rapid change in medical environment to replace man with robots with the help of AI. In this paper a AGV also called as Automatic Guided Vehicle is designed for the benefit of health community. It can also be called as Automated Cart. The chances of health care worker getting affected from the patient in this COVID-19 is more due to the behavior of the novel Corona Virus Spread. Hence this Automated cart is designed in this paper which moves near the patient’s beds delivering medicines whenever needed in time and also collects waste from patients’ bed and returns to the necessary point. It is a line follower automated cart robot it makes use of certain sensors like infrared sensors and ultrasonic sensors. These sensors are used for route mapping and obstacle detection. This robot at the time of giving medicine to the patients’ bed and collecting waste, it also checks the body temperature and pulse rate of the patient and sends information to the doctor via internet. The adaptability of this robot with the patients depends on the preprogram done. A microcontroller is made use for this purpose. This automated cart can be designed and implemented with low cost and the risk of Doctors, health care workers is reduced.

2021 ◽  
Vol 6 (1) ◽  
pp. 250
Roslina Roslina ◽  
Edi Harapan ◽  
Dessy Wardiah

The developing of studying-learning culture in Indonesia nowadays is increased in pandemic era of covid-19, we must face it because this corona virus spread almost in the whole of countries in the world, including Indonesia which have 34 provinces. Having connected with coronavirus, the education that we as Teacher face to the students of course will be problem, the Indonesia Government finally decide to do online class, we call it daring class and using of Information and Communication Technology (ICT) through internet,  the students and the teachers have to stay at home , but they are able to learn their lessons via on line by using mobile phone application . Unlucky the students who are from the rich one can do it, they buy the pulse and quota easily but not for the poverty students who can’t buy it , it is the obstacle for our education minister to solve the way to help every students in Indonesia doing  the education activities. Of course this process doing learning studying so far can run well enough , though we face this pandemic, we really hope it can be over sooner.

2020 ◽  
Vol 16 (2) ◽  
pp. 67-83
H. Ünözkan ◽  
M. Yilmaz ◽  
A.M. Dere

AbstractThis paper introduces a stochastic approach to case numbers of a pandemic disease. By defining the stochastic process random walk process is used. Some stochastic aspects for this disease are argued before stochastic study is started. During random walk process modeling new patients, recovering patients and dead conclusions are modelled and probabilities changes in some stages. Let the structure of this study includes vanishing process as a walk step, some wave happenings like big differences about spread speed as a big step in treatment- an effective vaccine or an influential chemical usage- a second corona virus pumping with virus mutation, a second global happening which bumping virus spread are defined as stages. This study only simulates a stochastic process of corona virus effects.

2021 ◽  
Vol 3 (1) ◽  
pp. 9-14
Aiswarya Mishra ◽  
Annapurna Ahuja ◽  
Sloka Kanungo ◽  
Harneet Singh Mago ◽  
Ruchii Staffy Mohina Minz ◽  

There is a new public health crises threatening the world with the emergence and spread of 2019 novel corona virus (2019-nCoV) The virus originated in bats and was transmitted to humans through yet unknown intermediary animals in Wuhan, Hubei province, China in December 2019.It caused a total of 80,868 confirmed cases and 3101 deaths in Chinese mainland until March 8, 2020. This novel virus spread mainly through respiratory droplets and close contact. According to the current pandemic situation the worldwide report of death due to COVID-19 is 165,877,654, cases confirmed and 3,445,463 death and 146,583,420 recovered. The symptoms are usually fever, cough, sore throat, breathlessness, fatigue, malaise among others. The disease is mild in most people; in some, usually the elderly and those with comorbidities, it may progress to pneumonia, acute respiratory distress syndrome (ARDS) and multi organ dysfunction. As COVID-19 has triggered enormous human casualties and serious economic loss posing global threat, an understanding of the ongoing situation and the development of strategies to contain the virus's spread are urgently needed. Currently, various diagnostic kits to test for COVID-19 are available and several repurposing therapeutics for COVID-19 have shown to be clinically effective. In addition, global institutions and companies have begun to develop vaccines for the prevention of COVID-19. Here, we review the current status of epidemiology, diagnosis, treatment, and vaccine development for COVID-19.

2020 ◽  
Vol 8 (1) ◽  
pp. 4-10
Sri Sandhya K

A novel Corona virus discovered during a pneumonia outbreak in Wuhan city, China has raised a global public health concern. This virus spread across the world affecting various countries and was declared a pandemic by World Health Organization(WHO). The outbreak started in December 2019 and by first week of April 2020, 212 countries were affected with more than 1million confirmed cases with a death roll of 79,235 worldwide. This disease was named as COVID-19 and the causative agent was named as Severe Acute Respiratory Syndrome Corona Virus -2 (SARS-CoV-2) due to its genetic similarity with SARS virus. SARS-CoV-2 is transmitted by respiratory droplets and by contact. Clinical symptoms include high fever, sore throat, cough, breathlessness, progress to pneumonia, acute respiratory distress and multisystem dysfunction. Infectivity rate is high with SARSCoV2 , as a result many countries are affected. Control measures like are quarantine, lockdown, regular handwashing, social distancing have been indicated by WHO and being followed by various countries. Due unavailability of an effective vaccine and specific antiviral medication against the virus, only symptomatic treatment along with the isolation of the patient is being done

Prashant Gawande

Covid-19 Spread Analysis is a stand-alone application developed in python which will help us to analyse the covid-19 cases all over the world. In this python project, we will implement a live dashboard for COVID 19 spread analysis. This dashboard will provide much insightful visualization for the study of corona virus spread. It will consist of a world map on which circles of the top 15 regions having the largest corona cases of will be displayed. There will be a table in the left panel showing the total active cases till date in the respective region. In the right panel, there will be a world map which will represent the impact of the virus using a red circle. More the number of cases in the region on the map, the bigger are the red circle in that region. Also, the user can see a detailed graph of state wise covid-19 cases of our country. This graph will show the active, confirmed, recovered and death cases. User can see all this information date wise as well as month wise. The graph will be updated every day so that user can clearly analyse the covid-19 spread. The project aims to understand various useful features of this tool and to present different concepts of data science applied within the application along with its importance in managing the ongoing pandemic. . It gives the readers an insight in to covid-19 spread is happening with the help of the entire data.

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