COVID-19 Data Forecasting and Spread Visualization Using ML

2022 ◽  
pp. 148-167
Author(s):  
Manisha Bhende ◽  
Shubhangi Mapare ◽  
Divya Rokde ◽  
Kalyani Pramod Chaudhary ◽  
Snehal Vikas Mali
Keyword(s):  
Statistical Data ◽  
Patient Reports ◽  
Global Pandemic ◽  
Interactive Dynamic ◽  
Death Count

The COVID-19 global pandemic has affected everyone's day-to-day life. The COVID spread data is increasing rapidly which needs to be visualized in some format. The statistical data includes infected, recovered, and the death count which is visualized by various tools. This project presents an interactive dynamic dashboard to display the details about the COVID-19 patient reports, scheduled reports, timely reports, geographical reports including state-wise, district wise. It should have options to display the metrics using charts, graphs, etc. Application features include registration, download report in multiple formats, email the report, schedule a report, share a report. Users can check for Epass availability; the decision will be taken by checking the covid-affected counts on the source and destination. Patient details will be stored in the cloud. The model includes a prediction of upcoming covid-affected count using ML.

scholarly journals PROMOTING FINTECH FINANCING FOR SME IN S. CAUCASIAN AND BALTIC STATES, DURING THE COVID-19 GLOBAL PANDEMIC

2021 ◽  
Vol 19 (02) ◽  
pp. 358-372
Author(s):  
Vakhtang Charaia ◽  
Archil Chochia ◽  
Mariam Lashkhi
Keyword(s):  
Union Member ◽  
Statistical Data ◽  
Digital Technologies ◽  
Decision Makers ◽  
Medium Size ◽  
Baltic States ◽  
Academic Literature ◽  
Global Pandemic ◽  
The Given ◽  
Practical Implications

Purpose – to analyse the digitalization trends in the Central Caucasian (Georgia, Azerbaijan and Armenia) and Baltic States with the aim of reducing a financial gap for the Small and Medium size Enterprises in Georgia, Azerbaijan and Armenia. Research methodology – comparative analysis between Baltic and Caucasian countries are made to analyse the basic positions and farther development opportunities for Georgia, Azerbaijan and Armenia. Findings of the given paper – while SME sector crucially important contributor to employment, diversification and productivity in any country of the world and especially in developing ones, they still face significant credit constraints through traditional credit providing institutions. However, the trend is changing and modern digital technologies from the fintech area are providing new alternatives, which already had been widely used in Baltic, but still are waiting their chance in Georgia, Azerbaijan and Armenia, with different level of progress and readiness. Research limitations – some statistical data does not exist for all six countries or were possible to obtain for different periods of time. Lack of academic literature on fintech in Caucasian countries. Practical implications – It can provide a useful perspective for researchers, academics, investors, investment managers, decision-makers, and scientists. Originality/Value – The paper analyses three advanced European Union member state’s (Lithuania, Latvia and Estonia) fintech positions and perspectives as a model of development for three developing Caucasian states (Georgia, Azerbaijan and Armenia).

scholarly journals Stabilization of the coronavirus pandemic in Italy and global prospects

2020 ◽  
Author(s):  
Igor Nesteruk
Keyword(s):  
Statistical Approach ◽  
Statistical Data ◽  
Sir Model ◽  
Data Sets ◽  
Cumulative Number ◽  
Disease Dynamics ◽  
Global Pandemic ◽  
Daily Data ◽  
Scientific Analysis ◽  
To Come

ABSTRACTThe pandemic caused by coronavirus COVID-19 are of great concern. A detailed scientific analysis of this phenomenon is still to come, but now it is urgently needed to evaluate the parameters of the disease dynamics in order to make some preliminary estimations of the number of cases and possible duration of the pandemic. The corresponding mathematical models must be simple enough, since their parameters are unknown and have to be estimated using limited statistical data sets. The SIR model, statistical approach to the parameter identification and the official WHO daily data about the confirmed cumulative number of cases were used to calculate the SIR curves and make some estimations and predictions. New cases in Italy could stop to appear after May 12, 2020, and the final number of such accumulated cases could be around 112 thousand. Some prospects for the global pandemic dynamics are discussed.

scholarly journals Implementation of pentahelix collaboration in handling Covid-19 pandemic through Kampung Tangguh program in Malang

2021 ◽  
Vol 10 (5) ◽  
pp. 207-215
Author(s):  
Novy Setia Yunas
Keyword(s):  
Rural Communities ◽  
Private Sector ◽  
Local Governments ◽  
Statistical Data ◽  
Human Life ◽  
Descriptive Research ◽  
Global Pandemic ◽  
The Government ◽  
Depth Interviews ◽  
Collaborative Efforts

Covid-19 has become a global pandemic that many may not know when it will end. In quantity, now Covid-19 sufferers have reached 100 million, which are spread across approximately 220 countries around the world, including Indonesia. In Indonesia itself, to this day the trend of increasing confirmed positive Covid-19 patients is still happening and has exceeded the 1 million mark. Of course, various policies have been carried out by the central and local governments. Pandemic conditions that have an impact on various aspects of human life, of course, cannot be resolved by the Government alone. There is a need for collaborative efforts between all stakeholders such as Community, University/academics, Private Sector and Media to fight the Covid-19. This article is the result of research on the Kampung Tangguh program in Malang City, which includes pentahelix collaboration in an effort to overcome the Covid-19 pandemic by using descriptive research methods that use an instrument in the form of in-depth interviews conducted on several informants determined by purposive sampling techniques and field observations and analyzed by means of non-statistical data regarding the facts from the existing research locations in several locations of Kampung Tangguh in Malang. As a result, the Government, Community, University, Private Sector and Media are moving together in the Kampung Tangguh program in Malang as an effort to deal with Covid-19 and increase resilient efforts for rural communities who are not only healthy and protected from Covid-19 but also logistically tough, tough in human resources, resilient in information, resilient in security and order, tough in terms of culture and tough psychologically.

scholarly journals Gender and Educational Inequalities during the COVID-19 Pandemic: Preliminary Insights from Poland

2021 ◽  
Vol 13 (22) ◽  
pp. 12403
Author(s):  
Małgorzata Krywult-Albańska ◽  
Łukasz Albański
Keyword(s):  
Labor Market ◽  
Social Life ◽  
Structural Changes ◽  
Social Inequalities ◽  
Statistical Data ◽  
Descriptive Analysis ◽  
Gender Inequalities ◽  
Global Pandemic ◽  
Educational Structures ◽  
And Gender

The global pandemic of COVID-19 has had a profound impact on many spheres of social life across the world. One of them has been the deepening of social inequalities and the aggravating of discrimination based on gender. Emerging studies in the field of education and occupation systems point to the fact that women seem to have been particularly affected, along with layoffs in those sectors of the economy where female staffs prevail. Additionally, in many countries, the burden of combining professional careers and supporting the education of young children falls disproportionately on mothers. These transformations pose a challenge to meeting the United Nations Sustainable Development Goals, wherein gender equality is an important factor. This article uses official statistical data to examine gender and educational structures during the COVID-19 pandemic in Poland, set against the backdrop of other European nations and analyzed in the context of sustainability. Have educational and gender inequalities been exacerbated as data from other countries suggest? In order to answer this question, the article traces changes in the education system in Poland and their implications for gender structures. The latter have also been affected by transformations on the labor market in various sectors of the economy, therefore, the second part of the analysis focuses on the labor market changes during the pandemic. The final section offers conclusions on the implications of the pandemic for the studied issues. Throughout the article, we apply the principles of unobtrusive research. Following the theoretical framework outlined in the first part of the paper, we carry out a descriptive analysis of existing statistical data collected by the Eurostat. These official statistics are supplemented by an overview of public opinion polls to allow for perspectives on structural changes, as they are perceived by those affected by them.

How Valid are Patient Reports of Family History of Illness?

1980 ◽  
Vol 19 (03) ◽  
pp. 162-164 ◽  
Author(s):  
Rachel Harris ◽  
W. Margaret ◽  
Kathleen Hunter
Keyword(s):  
Family History ◽  
Medical History ◽  
Cancer Patients ◽  
Cause Of Death ◽  
Death Certificate ◽  
Recall Rate ◽  
Patient Reports ◽  
Small Subgroup ◽  
History Of ◽  
Medical Histories

The recall rate of patients’ family medical histories was studied in 200 cancer and non-cancer patients. Data on age and cause of death for parents and grandparents were collected. Although most patients knew the age and cause of death of parents, less than half knew for grandparents. Cancer patients had significantly greater recall for maternally related relatives. A subsample of patients’ family medical histories was compared to death certificate data. Patients’ reports were found to be highly inaccurate. Since only a small subgroup could provide medical history data for grandparents, the generaliz-ability for history of family illness is questioned.

Knowledge-Based Decision Support for Diagnosis and Therapy: On the Multiple Usability of Patient Data

1989 ◽  
Vol 28 (02) ◽  
pp. 69-77 ◽  
Author(s):  
R. Haux
Keyword(s):  
Expert Systems ◽  
Statistical Data ◽  
Patient Data ◽  
Attribute Selection ◽  
Patient Specific ◽  
Statistical Data Analysis ◽  
Inference Mechanism ◽  
Diagnosis And Therapy ◽  
Knowledge Based ◽  
Clinical Registries

Abstract:Expert systems in medicine are frequently restricted to assisting the physician to derive a patient-specific diagnosis and therapy proposal. In many cases, however, there is a clinical need to use these patient data for other purposes as well. The intention of this paper is to show how and to what extent patient data in expert systems can additionally be used to create clinical registries and for statistical data analysis. At first, the pitfalls of goal-oriented mechanisms for the multiple usability of data are shown by means of an example. Then a data acquisition and inference mechanism is proposed, which includes a procedure for controlling selection bias, the so-called knowledge-based attribute selection. The functional view and the architectural view of expert systems suitable for the multiple usability of patient data is outlined in general and then by means of an application example. Finally, the ideas presented are discussed and compared with related approaches.

Confidentiality of Statistical Records: A Threat-Monitoring Scheme for On Line Dialogue

1976 ◽  
Vol 15 (01) ◽  
pp. 36-42 ◽  
Author(s):  
J. Schlörer
Keyword(s):  
Statistical Data ◽  
Cost Benefit ◽  
Data Bank ◽  
High Ratio ◽  
Point Of View ◽  
Data Sets ◽  
Monitoring Scheme ◽  
Access Controls ◽  
On Line ◽  
Bona Fide

From a statistical data bank containing only anonymous records, the records sometimes may be identified and then retrieved, as personal records, by on line dialogue. The risk mainly applies to statistical data sets representing populations, or samples with a high ratio n/N. On the other hand, access controls are unsatisfactory as a general means of protection for statistical data banks, which should be open to large user communities. A threat monitoring scheme is proposed, which will largely block the techniques for retrieval of complete records. If combined with additional measures (e.g., slight modifications of output), it may be expected to render, from a cost-benefit point of view, intrusion attempts by dialogue valueless, if not absolutely impossible. The bona fide user has to pay by some loss of information, but considerable flexibility in evaluation is retained. The proposal of controlled classification included in the scheme may also be useful for off line dialogue systems.

Russian Oil: Production and Exports

2003 ◽  
pp. 136-146
Author(s):  
K. Liuhto
Keyword(s):  
Baltic Sea ◽  
Statistical Data ◽  
Oil Production ◽  
The Baltic Sea ◽  
North West ◽  
The North ◽  
Oil Transportation ◽  
Sea Ports ◽  
The Baltic

Statistical data on reserves, production and exports of Russian oil are provided in the article. The author pays special attention to the expansion of opportunities of sea oil transportation by construction of new oil terminals in the North-West of the country and first of all the largest terminal in Murmansk. In his opinion, one of the main problems in this sphere is prevention of ecological accidents in the process of oil transportation through the Baltic sea ports.

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