scholarly journals What Impact has lockdown on SARS-CoV-2/COVID-19 incidence, prevalence and mortality during second wave of pandemic in 2021: - observational analysis of Bihar

2021 ◽  
Author(s):  
Piyush Kumar
Keyword(s):  
Growth Rate ◽  
Growth Factor ◽  
Health Department ◽  
Significant Decline ◽  
Family Welfare ◽  
Microsoft Office ◽  
The Impact ◽  
Second Wave ◽  
Observation Period ◽  
Incidence Prevalence

Abstract Background: My research aimed to assess the impact of lockdown on SARS-CoV-2/COVID-19 pandemic 13 days before lockdown, first and second 13 days during lockdown, and 13 days after the lockdown on the trends in the incidence, prevalence and mortality in the state of Bihar, India, during COVID-19 pandemic.Methods: The information on the number of cases and deaths due to COVID-19 pandemic in Bihar was obtained from Health Department Bihar, Ministry of Health and Family Welfare, Government of India, and lockdown data were obtained from online websites as well. The impact of lockdown for 13 days before lockdown, first and second 13 days during lockdown, and 13 days after the lockdown on the incidence, prevalence and mortality due to the COVID-19 pandemic in Bihar was analyzed with Microsoft office and stata 15.1 for windows (64bit). The same will be used with Microsoft office in next version-3 of article with addition of two more period of observation i.e. one more 13 day period before lockdown and one more period after the lock down in order to observe 2 period of same duration before lockdown and 2 periods of same duration after lockdown. This period is under observation right now by the author. The version-3 will also discuss lockdown model of Bihar with criteria of inclusion and exclusion of lockdown detailed in the article as well as analysis summary for understanding in short.Results: The findings showed that except for Incidence /100000/ new death there was a trend toward a decline, and except for Prevalence/100000/confirmed cases from beginning of pandemic all other prevalence have increased. The total and observation period mortality rate due to the COVID-19 pandemic also increased.Conclusions: The findings indicate that 13 days after the lockdown, incidence, daily cases of COVID-19 and the growth of the disease showed a declined trend, but there was no significant decline in the prevalence and mortality. The study found that daily cases of SARS-COV-2 patients, and the growth factor results declined and the growth rate per day both declined to an impressive negative level in the case of the growth rate. The Bihar model of lockdown is of significance in reducing the daily new cases as well as it was found that, 13 days after the lockdown, the growth factor of the number of new daily cases decreased and the growth factor of new daily deaths was increased after the lockdown period.

scholarly journals What Impact has lockdown on SARS-CoV-2/COVID-19 incidence, prevalence and mortality during second wave of pandemic in 2021: - observational & statistical analysis of Bihar-version 2

2021 ◽  
Author(s):  
Piyush Kumar
Keyword(s):  
Growth Rate ◽  
Growth Factor ◽  
Health Department ◽  
Significant Decline ◽  
Family Welfare ◽  
Microsoft Office ◽  
The Impact ◽  
Second Wave ◽  
Observation Period ◽  
Incidence Prevalence

AbstractBackground: My research aimed to assess the impact of lockdown on SARS-CoV-2/COVID-19 pandemic 13 days before lockdown, first and second 13 days during lockdown, and 13 days after the lockdown on the trends in the incidence, prevalence and mortality in the state of Bihar, India, during COVID-19 pandemic.Methods: The information on the number of cases and deaths due to COVID-19 pandemic in Bihar was obtained from Health Department Bihar, Ministry of Health and Family Welfare, Government of India, and lockdown data were obtained from online websites as well. The impact of lockdown for 13 days before lockdown, first and second 13 days during lockdown, and 13 days after the lockdown on the incidence, prevalence and mortality due to the COVID-19 pandemic in Bihar was analyzed with Microsoft office and stata 15.1 for windows (64bit). The same will be used with Microsoft office in next version-3 of article with addition of two more period of observation i.e. one more 13 day period before lockdown and one more period after the lock down in order to observe 2 period of same duration before lockdown and 2 periods of same duration after lockdown. This period is under observation right now by the author. The version-3 will also discuss lockdown model of Bihar with criteria of inclusion and exclusion of lockdown detailed in the article as well as analysis summary for understanding in brief.Results: The findings showed that except for Incidence /100000/ new death there was a trend toward a decline, and except for Prevalence/100000/confirmed cases from beginning of pandemic all other prevalence have increased. The total and observation period mortality rate due to the COVID-19 pandemic also increased.Conclusions: The findings indicate that 13 days after the lockdown, incidence, daily cases of COVID-19 and the growth of the disease showed a declined trend, but there was no significant decline in the prevalence and mortality. The study found that daily cases of SARS-COV-2 patients, and the growth factor results declined and the growth rate per day both declined to an impressive negative level in the case of the growth rate. The Bihar model of lockdown is of significance in reducing the daily new cases as well as it was found that, 13 days after the lockdown, the growth factor of the number of new daily cases decreased and the growth factor of new daily deaths was increased after the lockdown period.

scholarly journals What Impact has lockdown on SARS-CoV-2/COVID-19 incidence, prevalence and mortality during second wave of pandemic in 2021: - observational analysis of Bihar

2021 ◽  
Author(s):  
Piyush Kumar
Keyword(s):  
Mortality Rate ◽  
Health Department ◽  
Significant Decline ◽  
Family Welfare ◽  
Observational Analysis ◽  
Microsoft Office ◽  
The Impact ◽  
Second Wave ◽  
Observation Period ◽  
Incidence Prevalence

AbstractBackground: My research aimed to assess the impact of lockdown on SARS-CoV-2/COVID-19 pandemic 13 days before lockdown, first and second 13 days during lockdown, and 13 days after the lockdown on the trends in the incidence, prevalence and mortality in the state of Bihar, India, during COVID-19 pandemic.Methods: The information on the number of cases and deaths due to COVID-19 pandemic in Bihar was obtained from Health Department Bihar, Ministry of Health and Family Welfare, Government of India, and lockdown data were obtained from online websites as well. The impact of lockdown for 13 days before lockdown, first and second 13 days during lockdown, and 13 days after the lockdown on the incidence, prevalence and mortality due to the COVID-19 pandemic in Bihar was analyzed with Microsoft office and stata 15.1 for windows (64bit) will be used with Microsoft office in next version-2 of article.Results: The findings showed that except for Incidence /100000/ new death there was a trend toward a decline, and except for Prevalence/100000/confirmed cases from beginning of pandemic all other prevalence have increased. The total and observation period mortality rate due to the COVID-19 pandemic also increased.Conclusions: The findings indicate that 15 days after the lockdown, incidence, daily cases of COVID-19 and the growth of the disease showed a declined trend, but there was no significant decline in the prevalence and mortality.

scholarly journals What Impact has lockdown on SARS-CoV-2/COVID-19 incidence, prevalence and mortality during second wave of pandemic in 2021: - observational analysis of Bihar

2021 ◽  
Author(s):  
Piyush Kumar
Keyword(s):  
Mortality Rate ◽  
Health Department ◽  
Significant Decline ◽  
Family Welfare ◽  
Observational Analysis ◽  
Microsoft Office ◽  
The Impact ◽  
Second Wave ◽  
Observation Period ◽  
Incidence Prevalence

Abstract Background: My research aimed to assess the impact of lockdown on SARS-CoV-2/COVID-19 pandemic 13 days before lockdown, first and second 13 days during lockdown, and 13 days after the lockdown on the trends in the incidence, prevalence and mortality in the state of Bihar, India, during COVID-19 pandemic.Methods: The information on the number of cases and deaths due to COVID-19 pandemic in Bihar was obtained from Health Department Bihar, Ministry of Health and Family Welfare, Government of India, and lockdown data were obtained from online websites as well. The impact of lockdown for 13 days before lockdown, first and second 13 days during lockdown, and 13 days after the lockdown on the incidence, prevalence and mortality due to the COVID-19 pandemic in Bihar was analyzed with Microsoft office and stata 15.1 for windows (64bit) will be used with Microsoft office in next version-2 of article. Results: The findings showed that except for Incidence /100000/ new death there was a trend toward a decline, and except for Prevalence/100000/confirmed cases from beginning of pandemic all other prevalence have increased. The total and observation period mortality rate due to the COVID-19 pandemic also increased. Conclusions: The findings indicate that 15 days after the lockdown, incidence, daily cases of COVID-19 and the growth of the disease showed a declined trend, but there was no significant decline in the prevalence and mortality.

scholarly journals What impacts have geographical locations on the cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India:-observational analysis in India

2021 ◽  
Author(s):  
Piyush Kumar
Keyword(s):  
Geographical Location ◽  
Hubei Province ◽  
Central China ◽  
Family Welfare ◽  
Average Maximum ◽  
Microsoft Office ◽  
The Impact ◽  
Geographical Locations ◽  
Maximum Minimum ◽  
Total Average

AbstractBackground: Curiosity and need are the major forces driving invention and discoveries. The covid-19 said to originated from Wuhan of Hubei province in china have raised so many questions and doubts about origin and spread of disease and the controversy is still going on. The geographical location of Wuhan in relation to sea is of significant value in relation to covid-19 pandemic as observed in this research. The city of Wuhan is located on both banks of the Changjiang (the Great River, a.k.a the Yangtze River) about six hundred miles upstream from Shanghai and the Pacific Ocean. It is about four hundred miles upstream from Nanjing. Its location is supremely strategic, being where the Hanshui (Han River) joins the Changjiang. The Wuhan Huanan Seafood Wholesale Market was in news and highlighted by several media and news agency as probable source of origin of covid-19. The Huanan Seafood Market located in Wuhan was a live animal and seafood market in Jianghan District, Wuhan City, and the capital of Hubei Province in Central China. My research aimed to assess the impact of geographical locations particularly coastal influence on the total/average/maximum/minimum confirmed cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India, during COVID-19 pandemic from the beginning of pandemic cases in January 2020 in India with special focus on coastal states and union territories of India. The coast is also known popularly as the coastline or seashore is the area where land meets the sea or ocean, or as a line that forms the boundary between the land and the ocean. The term coastal state and union territories is used to refer to a state where interactions of sea and land of states occur. The study also aims to find safest geographical location in covid-19 pandemic.Methods: The information on the number of cases and deaths due to COVID-19 pandemic in 36 states and union territories of India was obtained from Health Department, Ministry of Health and Family Welfare (MoHFW), Government of India, and data were matched and analyzed from online websites as well. The impact of geographical locations on the total/average/maximum/minimum confirmed cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India was analyzed with Microsoft office and stata 15.1 for windows (64bit) will be used with Microsoft office in next version-2 of article for epidemiological comparison by calculating incidence, prevalence, mortality rate and other indicators. The study for global correlation of this research is also under process by the author. For the purpose of research India is divided into four geographical areas, 1 Coastal states and union territories (total ten in numbers), 2 Island groups (three in numbers), 3 north eastern states and east area i.e. Laddakh 4 other states and union territories having plain areas (14 in numbers).Results: The findings showed that total numbers of death from covid-19 is highest in coastal states and union territories with a count of 240628 since beginning of the pandemic whereas the islands group reported the lowest total numbers of death from covid-19. The average death from covid-19 is highest in coastal states and union territories group with a count of 24062.8 followed by other states and union territories group with a count of 9754.07. The islands group reported the lowest average numbers of death from covid-19 with a count of 58.67. A similar trend was found for numbers of confirmed cases with coastal states on top having largest number of covid-19 cases.Conclusions: The findings indicate that coastal locations have larger number of daily cases of COVID-19 and the growth of the disease as well as in the mortality.

scholarly journals A Comprehensive Analysis of COVID-19 Outbreak situation in India

2020 ◽  
Author(s):  
Rajan Gupta ◽  
Saibal K. Pal ◽  
Gaurav Pandey
Keyword(s):  
Growth Rate ◽  
Polynomial Regression ◽  
Negative Impact ◽  
Family Welfare ◽  
Essential Services ◽  
Research Questions ◽  
The Government ◽  
Administrative Units ◽  
The Impact ◽  
Rate Case

AbstractThe outbreak of COVID-19 in different parts of the world is a major concern for all the administrative units of respective countries. India is also facing this very tough task for controlling the virus outbreak and has managed its growth rate through some strict measures. This study presents the current situation of coronavirus spread in India along with the impact of various measures taken for it. With the help of data sources (till 7th-8th April 2020) from various state units of India and Ministry of Health and Family Welfare, Government of India, this study presents various trends and patterns. This study answers six different research questions in a comprehensive manner. It has been reported that growth rate of infected cases has been controlled with the help of National Lockdown, however some uncontrolled mass level events had a negative impact on the infected cases. With the help of exponential and polynomial regression modelling, the predictions of up to 75000 cases have been done by the end of April 2020. It has also been seen that there are some prominent clusters and patient nodes in the network of patients which are the major influencers for COVID-19 spread. Also, death rate case predictions have been done through two-class classification models with an accuracy of 60%. At the end, strategies for continuation for lockdown has been discussed and presented. It appears that only essential services should be open for the citizens of India and the national lockdown should be carried on for next 2-4 weeks. This study will be useful for the Government of India and various states of India, Administrative Units of India, Frontline health workforce of India, researchers and scientists. This study will also be favorable for the administrative units of other countries to consider various aspects related to the control of COVID-19 outspread in their respective regions.

scholarly journals Impact of lockdown on COVID-19 prevalence and mortality during 2020 pandemic: observational analysis of 27 countries

2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Sultan Ayoub Meo ◽  
Abdulelah Adnan Abukhalaf ◽  
Ali Abdullah Alomar ◽  
Faris Jamal AlMutairi ◽  
Adnan Mahmood Usmani ◽  
...  
Keyword(s):  
Growth Factor ◽  
Mortality Rate ◽  
World Health Organization ◽  
Significant Decline ◽  
World Health ◽  
Observational Analysis ◽  
The Mean ◽  
Health Organization ◽  
The Impact

Abstract Background This study aimed to assess the impact of 15 days before, 15 days during, and 15 days after the lockdown on the trends in the prevalence and mortality in 27 countries during COVID-19 pandemic. Methods Twenty-seven countries were randomly selected from the different continents. The information on the trends in the prevalence and mortality due to COVID-19 pandemic in 27 countries was obtained from World Health Organization and lockdown data were obtained from concerned countries and their ministries. The impact of lockdown for 15 days before, 15 days during, and 15 days after the lockdown on the prevalence and mortality due to the COVID-19 pandemic in 27 countries was analyzed. Results The findings showed that 15 days after the lockdown there was a trend toward a decline, but no significant decline in the mean prevalence and mean mortality rate due to the COVID-19 pandemic compared to 15 days before, and 15 days during the lockdown in 27 countries. The mean growth factor for number of cases was 1.18 and for mortality rate was 1.16. Conclusions The findings indicate that 15 days after the lockdown, daily cases of COVID-19 and the growth factor of the disease showed a declined trend, but there was no significant decline in the prevalence and mortality.

scholarly journals What Impacts Have Geographical Locations On The Cases And Deaths From Covid-19/ Sars-Cov-2 Pandemic In 36 States And Union Territories Of India:-Observational Analysis In India

2022 ◽  
Vol 5 (1) ◽  
Keyword(s):  
Geographical Location ◽  
Hubei Province ◽  
Central China ◽  
Family Welfare ◽  
Average Maximum ◽  
Microsoft Office ◽  
The Impact ◽  
Geographical Locations ◽  
Maximum Minimum ◽  
Total Average

Background: Curiosity and need are the major forces driving invention and discoveries. The covid-19 said to originated from Wuhan of Hubei province in china have raised so many questions and doubts about origin and spread of disease and the controversy is still going on. The geographical location of Wuhan in relation to sea is of significant value in relation to covid-19 pandemic as observed in this research. The city of Wuhan is located on both banks of the Changjiang (the Great River, a.k.a the Yangtze River) about six hundred miles upstream from Shanghai and the Pacific Ocean. It is about four hundred miles upstream from Nanjing. Its location is supremely strategic, being where the Hanshui (Han River) joins the Changjiang. The Wuhan Huanan Seafood Wholesale Market was in news and highlighted by several media and news agency as probable source of origin of covid-19. The Huanan Seafood Market located in Wuhan was a live animal and seafood market in Jianghan District, Wuhan City, and the capital of Hubei Province in Central China. My research aimed to assess the impact of geographical locations particularly coastal influence on the total/average/maximum/minimum confirmed cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India, during COVID-19 pandemic from the beginning of pandemic cases in January 2020 in India with special focus on coastal states and union territories of India. The coast is also known popularly as the coastline or seashore is the area where land meets the sea or ocean, or as a line that forms the boundary between the land and the ocean. The term coastal state and union territories is used to refer to a state where interactions of sea and land of states occur. The study also aims to find safest geographical location in covid-19 pandemic. Methods: The information on the number of cases and deaths due to COVID-19 pandemic in 36 states and union territories of India was obtained from Health Department, Ministry of Health and Family Welfare (MoHFW), Government of India, and data were matched and analyzed from online websites as well. The impact of geographical locations on the total/average/maximum/ minimum confirmed cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India was analyzed with Microsoft office and stata 15.1 for windows (64bit) will be used with Microsoft office in next version-2 of article for epidemiological comparison by calculating incidence, prevalence, mortality rate and other indicators. The study for global correlation of this research is also under process by the author. For the purpose of research India is divided into four geographical areas, 1 Coastal states and union territories (total ten in numbers), 2 Island groups (three in numbers), 3 north eastern states and east area i.e. Laddakh 4 other states and union territories having plain areas (14 in numbers). Results: The findings showed that total numbers of death from covid-19 is highest in coastal states and union territories with a count of 240628 since beginning of the pandemic whereas the islands group reported the lowest total numbers of death from covid-19. The average death from covid-19 is highest in coastal states and union territories group with a count of 24062.8 followed by other states and union territories group with a count of 9754.07. The islands group reported the lowest average numbers of death from covid-19 with a count of 58.67. A similar trend was found for numbers of confirmed cases with coastal states on top having largest number of covid-19 cases. Conclusions: The research observation found that coastal states and union territories of India have larger number of daily cases of COVID-19 and mortality as compared to other geographical locations of the country. The observation also found that islands have least number of cases and deaths due to covid-19 pandemic. This study also gives rise to hypothesis that coastal locations are at greater risk of covid-19 infection and mortality whereas islands are safe places in covid-19 pandemics.

scholarly journals What impacts have geographical locations on the cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India:-observational analysis in India

2021 ◽  
Author(s):  
Piyush Kumar
Keyword(s):  
Geographical Location ◽  
Hubei Province ◽  
Central China ◽  
Family Welfare ◽  
Average Maximum ◽  
Microsoft Office ◽  
The Impact ◽  
Geographical Locations ◽  
Maximum Minimum ◽  
Total Average

Abstract Background: Curiosity and need are the major forces driving invention and discoveries. The covid-19 said to originated from Wuhan of Hubei province in china have raised so many questions and doubts about origin and spread of disease and the controversy is still going on. The geographical location of Wuhan in relation to sea is of significant value in relation to covid-19 pandemic as observed in this research. The city of Wuhan is located on both banks of the Changjiang (the Great River, a.k.a the Yangtze River) about six hundred miles upstream from Shanghai and the Pacific Ocean. It is about four hundred miles upstream from Nanjing. Its location is supremely strategic, being where the Hanshui (Han River) joins the Changjiang. The Wuhan Huanan Seafood Wholesale Market was in news and highlighted by several media and news agency as probable source of origin of covid-19. The Huanan Seafood Market located in Wuhan was a live animal and seafood market in Jianghan District, Wuhan City, and the capital of Hubei Province in Central China. My research aimed to assess the impact of geographical locations particularly coastal influence on the total/average/maximum/minimum confirmed cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India, during COVID-19 pandemic from the beginning of pandemic cases in January 2020 in India with special focus on coastal states and union territories of India. The coast is also known popularly as the coastline or seashore is the area where land meets the sea or ocean, or as a line that forms the boundary between the land and the ocean. The term coastal state and union territories is used to refer to a state where interactions of sea and land of states occur. The study also aims to find safest geographical location in covid-19 pandemic.Methods: The information on the number of cases and deaths due to COVID-19 pandemic in 36 states and union territories of India was obtained from Health Department, Ministry of Health and Family Welfare (MoHFW), Government of India, and data were matched and analyzed from online websites as well. The impact of geographical locations on the total/average/maximum/minimum confirmed cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India was analyzed with Microsoft office and stata 15.1 for windows (64bit) will be used with Microsoft office in next version-2 of article for epidemiological comparison by calculating incidence, prevalence, mortality rate and other indicators. The study for global correlation of this research is also under process by the author. For the purpose of research India is divided into four geographical areas, 1 Coastal states and union territories (total ten in numbers), 2 Island groups (three in numbers), 3 north eastern states and east area i.e. Laddakh 4 other states and union territories having plain areas (14 in numbers).Results: The findings showed that total numbers of death from covid-19 is highest in coastal states and union territories with a count of 240628 since beginning of the pandemic whereas the islands group reported the lowest total numbers of death from covid-19. The average death from covid-19 is highest in coastal states and union territories group with a count of 24062.8 followed by other states and union territories group with a count of 9754.07. The islands group reported the lowest average numbers of death from covid-19 with a count of 58.67. A similar trend was found for numbers of confirmed cases with coastal states on top having largest number of covid-19 cases.Conclusions: The findings indicate that coastal locations have larger number of daily cases of COVID-19 and the growth of the disease as well as in the mortality.

scholarly journals A Comprehensive Analysis of COVID-19 Outbreak situation in India

2020 ◽  
Author(s):  
Rajan Gupta ◽  
Saibal K Pal ◽  
Gaurav Pandey
Keyword(s):  
Growth Rate ◽  
Polynomial Regression ◽  
Negative Impact ◽  
Family Welfare ◽  
Essential Services ◽  
The Government ◽  
Administrative Units ◽  
The Impact ◽  
Mass Level ◽  
Rate Case

The outbreak of COVID-19 in different parts of the world is a major concern for all the administrative units of respective countries. India is also facing this very tough task for controlling the virus outbreak and has managed its growth rate through some strict measures. This study presents the current situation of coronavirus spread in India along with the impact of various measures taken for it. With the help of data sources (till 7th-8th April 2020) from various state units of India and Ministry of Health and Family Welfare, Government of India, this study presents various trends and patterns. This study answers six different research ques-tions in a comprehensive manner. It has been reported that growth rate of infected cases has been controlled with the help of National Lockdown, however some uncontrolled mass level events had a negative impact on the infected cases. With the help of exponential and polynomial regression modelling, the predictions of up to 75000 cases have been done by the end of April 2020. It has also been seen that there are some prominent clusters and patient nodes in the network of patients which are the major influencers for COVID-19 spread. Also, death rate case predictions have been done through two-class classification models with an accuracy of 60%. At the end, strategies for continuation for lockdown has been discussed and presented. It appears that only essential services should be open for the citizens of India and the national lockdown should be carried on for next 2-4 weeks. This study will be useful for the Government of India and various states of India, Administrative Units of India, Frontline health workforce of India, researchers and scientists. This study will also be favorable for the administrative units of other countries to consider various aspects related to the control of COVID-19 outspread in their respective regions.

International trade: Research of the reasons for the fall

2019 ◽  
pp. 79-91 ◽  
Author(s):  
V. S. Nazarov ◽  
S. S. Lazaryan ◽  
I. V. Nikonov ◽  
A. I. Votinov
Keyword(s):  
Growth Rate ◽  
International Trade ◽  
Exchange Rate ◽  
Global Economy ◽  
Structural Changes ◽  
Global Value Chains ◽  
Value Chains ◽  
Negative Contribution ◽  
Basic Commodity ◽  
The Impact

The article assesses the impact of various factors on the growth rate of international trade. Many experts interpreted the cross-border flows of goods decline against the backdrop of a growing global economy as an alarming sign that indicates a slowdown in the processes of globalization. To determine the reasons for the dynamics of international trade, the decompositions of its growth rate were carried out and allowed to single out the effect of the dollar exchange rate, the commodities prices and global value chains on the change in the volume of trade. As a result, it was discovered that the most part of the dynamics of international trade is due to fluctuations in the exchange rate of the dollar and prices for basic commodity groups. The negative contribution of trade within global value chains in 2014 was also revealed. During the investigated period (2000—2014), such a picture was observed only in the crisis periods, which may indicate the beginning of structural changes in the world trade.

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