Impact of Covid-19 on UK: Death Rates, Healthcare, and Unemployment
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The report analyses the data about the death rates, unemployment rates and the impact of Covid-19 on United Kingdom. It illustrates the impact of Covid-19 on the economy of United Kingdom. The report also includes the presentation of the concept of online learning and positive and negatives of online learning.
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Table of Contents
INTRODUCTION ..........................................................................................................................3
MAIN BODY...................................................................................................................................3
Task 1...............................................................................................................................................3
The impact of Covid-19 on UK..................................................................................................3
The impact of Covid-19 on healthcare in UK.............................................................................5
The impact of Covid-19 on the unemployment of UK...............................................................5
Task 2...............................................................................................................................................6
Task 3...............................................................................................................................................8
CONCLUSION .............................................................................................................................13
REFERENCES..............................................................................................................................14
INTRODUCTION ..........................................................................................................................3
MAIN BODY...................................................................................................................................3
Task 1...............................................................................................................................................3
The impact of Covid-19 on UK..................................................................................................3
The impact of Covid-19 on healthcare in UK.............................................................................5
The impact of Covid-19 on the unemployment of UK...............................................................5
Task 2...............................................................................................................................................6
Task 3...............................................................................................................................................8
CONCLUSION .............................................................................................................................13
REFERENCES..............................................................................................................................14
INTRODUCTION
Statistics describes the field of study of collection of data, analysis, presentation and
interpretation. Governmental requirements for census data and information about various
economic activities rendered much of the primal drive for the statistics field. The need to
transform the large amount of data currently available in many application fields into useful
information is challenging the theoretical and practical development of statistics (Burger and
et.al, 2019). The report analyses the data about the death rates, unemployment rates and the
impact of Covid-19 on United Kingdom. It illustrates the impact of Covid-19 on the economy of
United Kingdom.
MAIN BODY
Task 1
The impact of Covid-19 on UK
Covid-19 is described as the most impactful and dangerous pandemic in world history.
As a result, the UK is facing many consequences, including rising mortality, scarcity of medical
resources and economic decline. The total number of deaths due to Covid 19 is 10,198, a 7.4%
increase compared to the last five years of data. Due to this situation, they are facing a domestic
lockdown situation. While struggling with the lockdown, there is also the risk of a new Covid
variant in the country. National mortality rates can be analysed using the chart attached below
the report. In March 2020, the UK recorded a total of 1918 deaths in the country (Ramírez-Rueda
and et.al, 2021). The following month saw an increase, with the death toll surpassing 33,000.
Because of this, the whole country is panicking and suffering from such a situation. After that,
the number of deaths increases, but after a while it decreases. This is due to the lockdown
situation imposed by the government itself. It rose again in November 2020, and with the
government lifting some restrictions and people moving out of their homes, the death rate started
rising again (Huang and et.al, 2022). The situation in this country can be explained using the
graph below.
Statistics describes the field of study of collection of data, analysis, presentation and
interpretation. Governmental requirements for census data and information about various
economic activities rendered much of the primal drive for the statistics field. The need to
transform the large amount of data currently available in many application fields into useful
information is challenging the theoretical and practical development of statistics (Burger and
et.al, 2019). The report analyses the data about the death rates, unemployment rates and the
impact of Covid-19 on United Kingdom. It illustrates the impact of Covid-19 on the economy of
United Kingdom.
MAIN BODY
Task 1
The impact of Covid-19 on UK
Covid-19 is described as the most impactful and dangerous pandemic in world history.
As a result, the UK is facing many consequences, including rising mortality, scarcity of medical
resources and economic decline. The total number of deaths due to Covid 19 is 10,198, a 7.4%
increase compared to the last five years of data. Due to this situation, they are facing a domestic
lockdown situation. While struggling with the lockdown, there is also the risk of a new Covid
variant in the country. National mortality rates can be analysed using the chart attached below
the report. In March 2020, the UK recorded a total of 1918 deaths in the country (Ramírez-Rueda
and et.al, 2021). The following month saw an increase, with the death toll surpassing 33,000.
Because of this, the whole country is panicking and suffering from such a situation. After that,
the number of deaths increases, but after a while it decreases. This is due to the lockdown
situation imposed by the government itself. It rose again in November 2020, and with the
government lifting some restrictions and people moving out of their homes, the death rate started
rising again (Huang and et.al, 2022). The situation in this country can be explained using the
graph below.
month cases
March 726
April 29193
May 20192
June 4401
July 1684
August 568
September 585
October 2939
November 11476
December 12698
January 35852
February 21585
March 5763
March 726
April 29193
May 20192
June 4401
July 1684
August 568
September 585
October 2939
November 11476
December 12698
January 35852
February 21585
March 5763
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April 1796
May 524
June 435
July 1477
August 2688
September 3938
October 4710
November 4462
December 4231
January 5802
February 4426
March 3472
April 5783
May 2718
June 1202
July 1635
The impact of Covid-19 on healthcare in UK
Due to Covid 19, the UK government is facing a number of health issues. This is due to
the continued increase in Covid cases in the country. There is a shortage of medicines, hospital
beds, oxygen cylinders and medical equipment. As a result, people cannot receive appropriate
medical treatment, resulting in the loss of precious lives. People in the UK have been unable to
use their medical resources adequately, resulting in a number of problems, including a steady rise
in deaths and cases. People with other illnesses are also affected by Covid cases (Mohamadi
Zenouzagh, 2019).
The impact of Covid-19 on the unemployment of UK
Employment is regarded to be the most important factor in any country's economy. It can
slightly increase the population of a country. A country can easily improve its functions and its
resources if its people are employed. A country can suffer if unemployment increases within the
country (Morze and Buinytska, 2019). It can also reduce the national income of the country and
increase poverty. Unemployment is the best-known impediment to economic growth. All of
these situations are faced by the UK. Many people in the UK are out of work during Covid. In
January 2020, the total number of unemployed was 9.43 million, hitting the country hard. The
number of unemployed people will then fall, but the rate will be so low that the UK economy
will not be able to maintain its position in the global market. The main reason for the increase in
May 524
June 435
July 1477
August 2688
September 3938
October 4710
November 4462
December 4231
January 5802
February 4426
March 3472
April 5783
May 2718
June 1202
July 1635
The impact of Covid-19 on healthcare in UK
Due to Covid 19, the UK government is facing a number of health issues. This is due to
the continued increase in Covid cases in the country. There is a shortage of medicines, hospital
beds, oxygen cylinders and medical equipment. As a result, people cannot receive appropriate
medical treatment, resulting in the loss of precious lives. People in the UK have been unable to
use their medical resources adequately, resulting in a number of problems, including a steady rise
in deaths and cases. People with other illnesses are also affected by Covid cases (Mohamadi
Zenouzagh, 2019).
The impact of Covid-19 on the unemployment of UK
Employment is regarded to be the most important factor in any country's economy. It can
slightly increase the population of a country. A country can easily improve its functions and its
resources if its people are employed. A country can suffer if unemployment increases within the
country (Morze and Buinytska, 2019). It can also reduce the national income of the country and
increase poverty. Unemployment is the best-known impediment to economic growth. All of
these situations are faced by the UK. Many people in the UK are out of work during Covid. In
January 2020, the total number of unemployed was 9.43 million, hitting the country hard. The
number of unemployed people will then fall, but the rate will be so low that the UK economy
will not be able to maintain its position in the global market. The main reason for the increase in
unemployment is the shutdown of industries. Industries are closed due to government-imposed
lockdowns. Because of this, industry owners are unable to pay salaries and wages to their
employees and are starting to fire them from their factories and industries in order to survive in
the market in the long term (Myovella, Karacuka and Haucap, 2020).
Task 2
ork bookingsW
Client eekW 1 eekW 2 eekW 3 Average
Smiths tdL 15 15 15 15
ones andJ
artnerP 12 8 10 10
Redwoods 13 20 11 14.66667
nderhillsU 13 20 11 14.66667
lockdowns. Because of this, industry owners are unable to pay salaries and wages to their
employees and are starting to fire them from their factories and industries in order to survive in
the market in the long term (Myovella, Karacuka and Haucap, 2020).
Task 2
ork bookingsW
Client eekW 1 eekW 2 eekW 3 Average
Smiths tdL 15 15 15 15
ones andJ
artnerP 12 8 10 10
Redwoods 13 20 11 14.66667
nderhillsU 13 20 11 14.66667
otalsT 53 63 47
Midterm e amsx
Name Module1 module2 Module3
ohn SmithJ 75% 64% 45%
eter onesP J 61% 48% 70%
wendy wenO 63% 80% 51%
rank atersF W 53% 85% 41%
arbara hiteB W 42% 63% 85%
Car sales
Max 60000
Min 1000
Count 42
Average
Totals Jan Feb Mar Apr May Jun 3month
6
m
o
n
t
h
ordF 190000 25090 25000 60000 25010 30900 24000 24670
3
1
6
6
7
Volkswagen 98510 13200 6150 32900 15130 15040 16090 12457
1
6
4
1
8
Midterm e amsx
Name Module1 module2 Module3
ohn SmithJ 75% 64% 45%
eter onesP J 61% 48% 70%
wendy wenO 63% 80% 51%
rank atersF W 53% 85% 41%
arbara hiteB W 42% 63% 85%
Car sales
Max 60000
Min 1000
Count 42
Average
Totals Jan Feb Mar Apr May Jun 3month
6
m
o
n
t
h
ordF 190000 25090 25000 60000 25010 30900 24000 24670
3
1
6
6
7
Volkswagen 98510 13200 6150 32900 15130 15040 16090 12457
1
6
4
1
8
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yundaiH 9000 1000 1500 2500 1000 1000 2000 1500
1
5
0
0
Skoda 15400 1200 2800 4000 3500 2130 1770 2690
2
5
6
7
iaK 13360 930 1050 5430 1500 2110 2340 1630
2
2
2
7
Renault 94820 7000 32090 25600 9230 9100 11800 17707
1
5
8
0
3
Vau hallx 166750 22000 10500 55000 25050 24100 30100 21883
2
7
7
9
2
1
5
0
0
Skoda 15400 1200 2800 4000 3500 2130 1770 2690
2
5
6
7
iaK 13360 930 1050 5430 1500 2110 2340 1630
2
2
2
7
Renault 94820 7000 32090 25600 9230 9100 11800 17707
1
5
8
0
3
Vau hallx 166750 22000 10500 55000 25050 24100 30100 21883
2
7
7
9
2
Task 3
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CONCLUSION
From the above report, it is concluded that the Covid pandemic adversely impacted the
nation of United Kingdom. The nation's economy has fallen by a high margin because of which
its people suffered so much from the losses. The nation was suffering from lack of monetary
resources. The above report analysed the economic condition including the condition of death
rates and unemployment rates regarding United Kingdom from the data provided. This report
also includes the presentation of the concept of online learning and positive and negatives of
online learning.
From the above report, it is concluded that the Covid pandemic adversely impacted the
nation of United Kingdom. The nation's economy has fallen by a high margin because of which
its people suffered so much from the losses. The nation was suffering from lack of monetary
resources. The above report analysed the economic condition including the condition of death
rates and unemployment rates regarding United Kingdom from the data provided. This report
also includes the presentation of the concept of online learning and positive and negatives of
online learning.
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
REFERENCES
Books and Journals
Burger, M. and et.al, 2019. The heterogeneous skill-base of circular economy employment.
Research Policy. 48(1). pp.248-261.
Ramírez-Rueda, M. and et.al, 2021. Towards a coordinated vision of ICT in education: A
comparative analysis of Preschool and Primary Education teachers’ and parents’
perceptions. Teaching and Teacher Education. 100. p.103300.
Green, A., 2021. The COVID-19 crisis and implications for skills development and the skills
system. In Productivity and the Pandemic (pp. 104-118). Edward Elgar Publishing.
Huang, Y. and et.al, 2022. Dynamic association between ICT, renewable energy, economic
complexity and ecological footprint: Is there any difference between E-7 (developing)
and G-7 (developed) countries?. Technology in Society. 68. p.101853.
Mohamadi Zenouzagh, Z., 2019. The effect of online summative and formative teacher
assessment on teacher competences. Asia Pacific Education Review. 20(3). pp.343-359.
Morze, N. and Buinytska, O., 2019. Digital Competencies of University Teachers. In
Universities in the Networked Society. (pp. 19-37). Springer, Cham.
Mwantimwa, K., 2020. Livelihood information and knowledge needs, access, and exchange in
rural communities in the Bunda District, Tanzania. Rural Society. 29(1). pp.30-43.
Myovella, G., Karacuka, M. and Haucap, J., 2020. Digitalization and economic growth: A
comparative analysis of Sub-Saharan Africa and OECD economies.
Telecommunications Policy. 44(2). p.101856.
Odell, B., Cutumisu, M. and Gierl, M., 2020. A scoping review of the relationship between
students’ ICT and performance in mathematics and science in the PISA data. Social
Psychology of Education. 23(6). pp.1449-1481.
Rasi, P., 2022. ‘Behind the Digi-God's back’: social representations of older people's digital
competences and internet use in regional Finnish newspapers. Ageing & Society. 42(4).
pp.829-848.
Santos Espino, J. M and et.al, 2020. Video for teaching: Classroom use, instructor self-
production and teachers’ preferences in presentation format. Technology, Pedagogy and
Education. 29(2). pp.147-162.
Szeles, M. R. and Simionescu, M., 2020. Regional patterns and drivers of the EU digital
economy. Social Indicators Research. 150(1). pp.95-119.
Books and Journals
Burger, M. and et.al, 2019. The heterogeneous skill-base of circular economy employment.
Research Policy. 48(1). pp.248-261.
Ramírez-Rueda, M. and et.al, 2021. Towards a coordinated vision of ICT in education: A
comparative analysis of Preschool and Primary Education teachers’ and parents’
perceptions. Teaching and Teacher Education. 100. p.103300.
Green, A., 2021. The COVID-19 crisis and implications for skills development and the skills
system. In Productivity and the Pandemic (pp. 104-118). Edward Elgar Publishing.
Huang, Y. and et.al, 2022. Dynamic association between ICT, renewable energy, economic
complexity and ecological footprint: Is there any difference between E-7 (developing)
and G-7 (developed) countries?. Technology in Society. 68. p.101853.
Mohamadi Zenouzagh, Z., 2019. The effect of online summative and formative teacher
assessment on teacher competences. Asia Pacific Education Review. 20(3). pp.343-359.
Morze, N. and Buinytska, O., 2019. Digital Competencies of University Teachers. In
Universities in the Networked Society. (pp. 19-37). Springer, Cham.
Mwantimwa, K., 2020. Livelihood information and knowledge needs, access, and exchange in
rural communities in the Bunda District, Tanzania. Rural Society. 29(1). pp.30-43.
Myovella, G., Karacuka, M. and Haucap, J., 2020. Digitalization and economic growth: A
comparative analysis of Sub-Saharan Africa and OECD economies.
Telecommunications Policy. 44(2). p.101856.
Odell, B., Cutumisu, M. and Gierl, M., 2020. A scoping review of the relationship between
students’ ICT and performance in mathematics and science in the PISA data. Social
Psychology of Education. 23(6). pp.1449-1481.
Rasi, P., 2022. ‘Behind the Digi-God's back’: social representations of older people's digital
competences and internet use in regional Finnish newspapers. Ageing & Society. 42(4).
pp.829-848.
Santos Espino, J. M and et.al, 2020. Video for teaching: Classroom use, instructor self-
production and teachers’ preferences in presentation format. Technology, Pedagogy and
Education. 29(2). pp.147-162.
Szeles, M. R. and Simionescu, M., 2020. Regional patterns and drivers of the EU digital
economy. Social Indicators Research. 150(1). pp.95-119.
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