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

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.

2021 ◽  
Author(s):  
Piyush Kumar

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.


2021 ◽  
Author(s):  
Piyush Kumar

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.


2022 ◽  
Author(s):  
Piyush Kumar

Abstract Background: Curiosity and need are the major forces driving invention and discoveries. The covid-19 pandemic is said to be originated from Wuhan of Hubei province in china. This statement has raised 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 is a live animal and seafood market in Jianghan District, Wuhan City, and the capital of Hubei Province in Central China. Objective: This continuous observational research analysis 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: This is a novel cross-sectional mixed (quantitative and Qualitative) continuous observational research study. The information on the number of cases and deaths due to COVID-19 pandemic in 36 states and union territories of India is 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 with more data collection stata 15.1 for windows (64bit) will be used when required with Microsoft office in next version-3 of article (for bigger analysis) 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 323674 since beginning of the pandemic whereas the islands group reported the lowest total 184 numbers of deaths from covid-19 as on 05 Jan 2022, 08:00 IST (GMT+5:30) . The average death from covid-19 is highest in coastal states and union territories group with a count of 32367.4 followed by other states and union territories group with a count of 10431.21429. The islands group reported the lowest average numbers of death from covid-19 with a count of 61.33. A similar trend was found for numbers of confirmed cases with coastal states on top having largest number of covid-19 cases. In this version 2 the prevalence rates are also calculated per 100000.Conclusions: The research observation found that coastal states and union territories of India have larger number of daily cases of COVID-19 and mortality 867 per 100000 as compared to other geographical locations of the country. The observation also found that islands have least number of cases and deaths 115 per 100000 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 safest places in covid-19 pandemics.


2022 ◽  
Author(s):  
Piyush Kumar

Background: Curiosity and need are the major forces driving invention and discoveries. The covid-19 pandemic is said to be originated from Wuhan of Hubei province in china. This statement has raised 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 is a live animal and seafood market in Jianghan District, Wuhan City, and the capital of Hubei Province in Central China. Objective: This continuous observational research analysis 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: This is a novel cross-sectional mixed (quantitative and Qualitative) continuous observational research study. The information on the number of cases and deaths due to COVID-19 pandemic in 36 states and union territories of India is 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 with more data collection stata 15.1 for windows (64bit) will be used when required with Microsoft office in next version-3 of article (for bigger analysis) 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 323674 since beginning of the pandemic whereas the islands group reported the lowest total 184 numbers of deaths from covid-19 as on 05 Jan 2022, 08:00 IST (GMT+5:30) . The average death from covid-19 is highest in coastal states and union territories group with a count of 32367.4 followed by other states and union territories group with a count of 10431.21429. The islands group reported the lowest average numbers of death from covid-19 with a count of 61.33. A similar trend was found for numbers of confirmed cases with coastal states on top having largest number of covid-19 cases. In this version 2 the prevalence rates are also calculated per 100000.Conclusions: The research observation found that coastal states and union territories of India have larger number of daily cases of COVID-19 and mortality 867 per 100000 as compared to other geographical locations of the country. The observation also found that islands have least number of cases and deaths 115 per 100000 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 safest places in covid-19 pandemics.Keywords: coastal states, COVID 19, Mortality, confirmed cases, union territories, geographical impact,


2020 ◽  
Vol 214 ◽  
pp. 02053
Author(s):  
Chun Chen ◽  
Hong Yuan ◽  
Weiyan Lin ◽  
Qing Xia

In the construction plan of China (Hubei) pilot free trade zone issued by China (Hubei) pilot free trade zone in 2018, it is pointed out that industrial transfer should be orderly undertaken, which undoubtedly provides a strong institutional guarantee for Hubei to undertake industrial transfer. This paper analyzes the mechanism of industrial transfer on industrial structure upgrading: capital accumulation mechanism, technology progress mechanism, industry aggregation mechanism. At the same time through empirical analysis it is concluded that: build the double logarithm model of Hubei province to undertake industry shift after the provincial labor resources, science and technology innovation ability, industrial concentration degree of ascension for the upgrading of industrial structure in Hubei province has a certain role in promoting, especially the size of the capital and the increase of the number of high-tech talent to upgrade the industrial structure to promote the most significant effect. Therefore, the government should intensify efforts to introduce domestic and foreign capital, cultivate and attract more high-tech talents, focus on improving the quality of workers, expand the scale of industrial agglomeration within the province, and enhance the ability of scientific and technological innovation.


2021 ◽  
Author(s):  
Piyush Kumar

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.


2020 ◽  
Vol 3 (3) ◽  
pp. 97-105
Author(s):  
Jing Zhao ◽  
Siti Maziha Mustapha ◽  
Jun Wang

In order to explore the relationships of tertiary EFL teachers’ professional identity and job burnout, a quantitative survey was conducted on 565 tertiary EFL teachers in Hubei Province in central China. The results indicated that teachers with different educational background and teachers teaching different types of students experience different levels of burnout; Tertiary EFL teachers’ professional identity were significantly negatively related to their job burnout; The valence and self-presentation in professional identity can be used to predict teachers’ job burnout. Therefore, tertiary EFL teachers should try to enhance their occupational belongings so as to alleviate their current job burnout and promote their sustainable development.


2021 ◽  
Author(s):  
Piyush Kumar

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.


2021 ◽  
Author(s):  
Piyush Kumar

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.


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