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DataSet “Epidemics and Pandemics: Big Data for the Scientific Analytics of the Dynamics of Infectious Diseases throughout the World and their Consequences”

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Year 2020 has started from the global pandemic of novel coronavirus infection COVID-2019. Despite the sophisticated medicine, it emerged that humankind is unprepared for its onset. Concerted action by the world's governments and international organizations makes it possible to contain the spread of the infection, and the dedication of doctors makes it possible to keep the mortality rate at an unprecedented low level compared to previous epidemics and pandemics. Full-scale information support under the auspices of the World Health Organization has enabled the international cooperation in combating the virus and the active search for vaccine and medications for people who contracted a disease.

The security measures being implemented are so strong, and the responsibility for their implementation is so high that the new coronavirus pandemic is being compared to war. But this is no ordinary war. Instead of calling for a gathering of people, it requires people to self-isolate. Instead of unsanitary conditions and the shortage of drugs typical of warfare, sanitary control is getting increasingly stringent everywhere, antiviral agents as well as advanced medicines and medical devices have been used. Instead of intensifying the confrontation, this conditional war rallied the whole world in a struggle against the global viral threat.

Medicine is the weapon in this war, as it is aimed at controlling the virus, stopping its further spread and protecting humanity from it. While the media has shifted the attention of great masses of population to the health of themselves and their loved ones, the current mission of science is to find a solution to the multifaceted problem of the pandemic. This is a challenging task not only for medical science, but also for other sciences. Quarantine measures pose a strong challenge to the economy. At the end of the first trimester (as of the end of March) 2020, it may safely be said that a new global crisis has come.

Against the backdrop of business slowdown, the state needs to allocate funds to finance health care, support businesses and the general population that suffer losses. The economic science is aimed at assessing the impact of the pandemic and setting out financial and managerial prospects of dealing with it. Uncertainty gives rise to feverish demand, which in turn leads to artificial scarcity and inflation. The underlying cause of these phenomena is the poor information support for the current situation and the prospects for further progression of events.

Hypotheses that are made by the media have no scientific basis and simply increase uncertainty even more. For example, according to the original hypothesis, COVID-2019 is a biological weapon against Asian countries, and it can only be contracted by representatives of Asians countries contrary to the basic concepts of modern virology, and the confidence of the inhabitants of other regions of the world in this fact prevented them from taking measures to prevent the spread of the infection. This may have been one of the causes of the Italian site of infection.

In order to provide the full scientific support in a struggle against the pandemic of novel coronavirus and future epidemics and pandemics, the Institute of Scientific Communications (ISC) has created a dataset that brings together all relevant and up-to-date statistics on infectious diseases and their impact. We urge all scientists to refocus their attention on research on the pandemic in order to mitigate the crisis and overcome it as soon as possible, and we hope that the ISC dataset will help them in this mission. The dataset consists of two sections.

Section 1 provides detailed information on epidemics and pandemics and their impact since the second half of the 20th century. It examines the temporal dynamics of aggravation of all infectious diseases reported by the World Health Organization throughout the world, as well as the key indicators of the global economy based on the World Bank data (for the period from 1960 to 2018) and the International Monetary Fund (estimates for 2019-2020).

This section presents, first, the ordered data on infectious diseases based on information of the World Health Organization:

•  List of infectious diseases;

•  Brief description of each infectious disease;

•  Countries where an epidemic or pandemic of infectious disease occurred;

•  Category according to prevalence of disease and its focalization (epidemic or pandemic);

•  Current status of infectious disease;

•  The period of the last epidemic or pandemic of infectious disease;

•  Mortality rate based on the total number of cases of infectious disease.

Second, the statistics of key indicators of the international economy and health care based on the World Bank data :

•  The number of infectious diseases, epidemics or pandemics of which occur in a given year (calculated by the ISC);

•  The average mortality rate due to infectious diseases in a given year (calculated by the ISC);

•  Global annual GDP growth;

•  Global GDP per capita;

•  Global annual consumer-price inflation;

•  Global unemployment rate;

•  Global current health expenditure;

•  The number of physicians per 1,000 people throughout the world;

•  The number of hospital beds per 1,000 people throughout the world.

Section 2 presents countrywise data. First, the incidence statistics for infections that are most relevant today:

•  Mortality rate due to infectious diseases based on the World Bank data;

•  The total incidence of HIV, % of population aged 15-49 based on the World Bank data;

•  The incidence of tuberculosis per 100,000 people based on the World Bank data;

•  The number of coronavirus cases as at the end of March 2020 based on the latest up-to-date data of the World Health Organization and RND.

Second, the statistics of key indicators of potential economic impact of epidemics and pandemics based on the World Bank data :

•  Annual GDP growth;

•  GDP per capita;

•  Annual consumer-price inflation;

•  Unemployment rate;

•  Gini index as an indicator of income inequality (social stratification) in the economy.

Third, statistics on preparedness of the countries of the world for epidemics and pandemics based on the World Bank data:

•  Current health expenditure;

•  The number of physicians per 1,000 people;

•  The number of hospital beds per 1,000 people.

Advantages of the dataset from the ISC:

•  Timeliness: this dataset presents the latest data on pandemic of novel coronavirus infection COVID-2019. The statistics on COVID-2019 will be updated every trimester (3 months) until the end of pandemic; the primary data are presented according to the results of the 1st trimester as at the beginning of April 2020;

•  Detailed elaboration : the dataset is not limited to the only morbidity statistics available at the official website of the World Health Organization, but also gives the data on the recovery, incidence and mortality rate of COVID-2019, for which the RND data are used; this allows describing the pandemic as comprehensively as possible;

•  Consistency and accuracy: collection and systematization of the basic statistical data in the common dataset;

•  Extensive timeliness: the dataset contains the data for 1960-2020, which allows conducting research over time and provide a detailed coverage of epidemics and pandemics in research activities;

•  Reliability and fairness: the dataset brings together the statistics from reliable sources of statistical and expert analytic data on social entrepreneurship, namely the World Bank, the International Monetary Fund and the World Health Organization;

•  Information content: the dataset presents the latest international statistics in Russian;

•  Clear structure: in order to make working with the dataset more simple, fast and convenient for the users, the topic sections have been identified in its structure;

•  Availability of templates: the dataset offers two data templates: G7 countries (developed countries) and BRICS countries (developing countries), CIS countries, EEU countries, geographical templates of parts of the world which enable the expedited collection of necessary data for economic experiments aimed at real-time comparison of countries of main categories, and selection of COVID-2019 incidence rate patterns ;

•  Data import: the dataset allows selecting the necessary information and importing it to Microsoft Excel for subsequent analysis;

•  Interactivity: the dataset allows sorting and combining various data, bringing them together in a common data array in exactly the manner that is necessary to every user, and automatically making and visualizing virtual country profiles in the context of the COVID-2019 pandemic in 2020;

•  Ranking: the dataset has been used as a basis for making a ranking of countries' positions in the context of the COVID-2019 pandemic in 2020;

•  Operation according to the block chain principle: first, the data as such are logically structured according to the block chain principle; second, the dataset allows sharing information, modifying and processing it at requests of the users; moreover, initial data remain unchanged, which is very convenient and safe.

The part of the reported study written by Agnessa O. Inshakova was performed by a grant from the Russian Science Foundation (Grant No. 20-18-00314).

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Datset ISC

Dataset “Big Data of the Modern Global Economy: Digital Platform for Data Mining – 2020”

The dataset contains indicators for the most relevant lines of economic research: industry 4.0, knowledge economy, economic growth and sustainable development. The values of indicators in the countries of the world for 2019 are given, forecasts of indicators for 2020-2024 are compiled. The dataset generates Big Data of the modern global economy and constitutes a digital platform for data mining. Author of the dataset: doctor of economics, professor E.G. Popkova

DataSet “Interactive Statistics and Intelligent Analytics of the Balanced State of the Regional Economy of Russia in Terms of Big Data and Blockchain – 2020”

The dataset contains statistics on the topic of balancing the Russian regional economy for 2005-2019 and forecast for 2020-2024. It reflects the level and potential of the socio-economic development of Russian regions, presents their “funnel of backwardness” calculated according to the author’s method of doctor of economics, professor E.G. Popkova. The matrix “TRMS” and the rating of socio-economic development of the regions are compiled. An interactive map of the regions and federal districts of Russia is presented, it is possible to automatically build blockchain polygons of their socio-economic development. Author of the data set: doctor of economics, professor E.G. Popkova

Dataset “Social Entrepreneurship in the World Economy: a Path from Virtual Scores to Big Data – 2020”

The dataset contains statistics on the topic of the socially responsible business and its evaluation using a specifically developed index. The values ​​of indicators of social responsibility of the business and indicators of non-profit activities of the business in 2020 have been presented. A rating of the socially responsible business in the countries of the world in 2020 has been compiled. The dataset allows creating and visualizing interactive profiles of countries all over the world based on the level of development of the socially responsible business. Authors of the dataset: Doctor of Economics, Professor Elena G., Doctor of Economics, Professor Bruno S. Sergi.

DataSet “Epidemics and Pandemics: Big Data for the Scientific Analytics of the Dynamics of Infectious Diseases throughout the World and their Consequences”

The dataset integrates all relevant statistics on the topic of infectious diseases and their consequences. It gives consideration to the temporal dynamics of exacerbation of all infectious diseases distinguished by the World Health Organization throughout the world (from earlier than 1960 till 2020), as well as key indicators of the global economy based on data from the World Bank (for 1960-2018) and the International Monetary Fund (forecasts for 2019-2020). Firstly, the ordered data on the topic of infectious diseases in the world are presented, secondly, countrywide statistics on the incidence rate of infections that are most relevant today, and thirdly, statistics on the key indicators of the economy and health care, statistics on the key indicators of the potential economic impact of epidemics and pandemics, as well as countrywide and worldwide statistics on preparedness for epidemics and pandemics. COVID- 2019 incidence patterns have been made for various countries of the world. The opportunity was provided to automatically create and visualize virtual profiles of countries against the background of the COVID-2019 pandemic in 2020 The ranking of countries against the background of the COVID-2019 pandemic in 2020 was made;The part of the reported study written by Agnessa O. Inshakova was performed by a grant from the Russian Science Foundation (Grant No. 20-18-00314). Author of the dataset: doctor of economics, professor E.G. Popkova

Data set “Corporate social responsibility, sustainable development, and fighting climate change: imitation modeling and neural network analysis in regions of the world – 2020”

The dataset contains the indicators on the implemented practices of corporate social responsibility, sustainable development, and fighting climate changes (2020). The index of corporate fight against climate change is provided. The models of categories of countries by the criterion of sustainable development and fighting climate change are presented. A sustainable development ranking and fighting climate changes ranking are compiled based on corporate social and ecological responsibility in countries of the world in 2020 The cognitive map shows the results of imitation modeling and neural network analysis of the ratio of regulatory and market factors in provision of corporate and ecological responsibility, achievement of sustainable development, and fighting climate changes in geographical regions of the world in 2020 The data has been developed at the Chair “Economic policy and public-private partnership” of Moscow State Institute of International Relations (MGIMO). Authors of the dataset: Elena B. Zavyalova (Ph.D., associate professor, head of the Chair), Tatyana G. Krotova (expert of the Center for Applied Research), and Elena G. Popkova (professor, doctor of economics, leading researcher of the Center for Applied Research).

Dataset “Humanization of economic growth in the global economy: Big Data and digital modeling – 2020”

The data set was developed by Elena G. Popkova, D.Sc. Economics, Professor, President of the Institute of Scientific Communications and by Natalya N. Chubaeva, post-graduate student of MGIMO University

Dataset “Big Data for digital monitoring of biodiversity, agriculture and food security – 2020”

The dataset includes biodiversity indicators from the perspective of conservation of terrestrial ecosystems and marine ecosystems based on the data from the UN for 2015-2019, agriculture based on the data from the World Bank for 2017- 2018, and food security based on the data from The Economist Intelligence Unit Limited for 2019 The proprietary methodology was used to classify and make the models of countries according to the criterion of conservation of biodiversity, agricultural development, and food security; in addition, the wealth index of the animal and plant world was calculated, and the ranking of countries of the world was made according to the value of this index in 2020 The dataset makes it possible to carry out digital monitoring of biodiversity, agriculture and food security across the world with automatic construction of graphs. Author of the dataset: Doctor of Economics, Professor Elena G. Popkova.

Dataset “COVID-19 and the 2020 Crisis: Healthcare System Capabilities and Ramifications for the Economy and Business all Over the World”

The dataset includes the indicators of the COVID-19 pandemic according to the World Health Organization and the World Health Map, measures to control the COVID-19 virus threat, as well as ramifications of the COVID-19 crisis for the economy and business according to Statista. All the data are up- to-date as of the second trimester of 2020 The proprietary methodology has been used to classify and create country profiles according to the criterion of susceptibility to the COVID-19 crisis, the COVID-19 crisis index has been calculated, and the global ranking of countries across the world from the perspective of their situation in the context of the COVID-19 crisis. The dataset provides an opportunity to perform automatic ranking according to the criterion of activity in terms of measures taken to control COVID-19 in countries across the world, as well as to visualize the results in the form of a polygon of factors of elimination of the pandemic. Author: Prof. Elena G. Popkova.

Public repository for datasets

Data set of tension of the global oil market under the influence of the COVID-19 pandemic in 2020 Update 10.10.2020 Download file Data set of fluctuation of currency markets during the COVID-19 pandemic in 2020 Update 12.10.2020 Download file Dataset on Development of IT Companies in Russia Amid the COVID-19 Crisis Update 14.10.2020 Download file

         Вятский государственный университет Ставропольский государственный аграрный университет