Th? UK has b??n s?v?r?ly impact?d by th? COVID-19 ?pid?mic, with n?gativ? ?ff?cts on th? country's social s?rvic?s, ?conomy, and h?alth. Th? impact of COVID-19 on th?s? thr?? crucial ar?as will b? ?xamin?d in this ?ssay. Using a lin? chart, it will first provid? information on COVID-19 cas?s and fataliti?s in th? UK whil? ?xamining th? patt?rns. Th? ?ff?ct on h?althcar? will n?xt b? ?xamin?d, with th? d?ath ratio shown by a pi? chart. Third, to illustrat? th? influ?nc? on th? ?conomy, a bar chart will show monthly un?mploym?nt statistics. Lastly, th? ?ff?cts on social lif? will b? discuss?d. This ?ssay's ov?rall goal is to pr?s?nt a compr?h?nsiv? analysis of th? various ways that th? COVID-19 ?pid?mic has aff?ct?d UK soci?ty in r?c?nt y?ars. This pap?r will ?valuat? th? ?xt?nt of COVID-19's impact on h?althcar?, social r?lationships, and th? ?conomy through an analysis of quantitativ? information and p?rsonal ?xp?ri?nc?s.
Discussion
Social car?, h?alth, and ?conomic institutions worldwid? hav? all b??n significantly impact?d by th? Covid-19 ?pid?mic. Hospitals fac?d a scarcity of b?ds, ?quipm?nt, and staff du? to th? ov?rwh?lming influx of COVID-19 pati?nts (Clemente-Suárez, et al. 2021). H?althcar? in?qualiti?s w?r? mad? wors? by th? postpon?m?nt of pr?v?ntiv? and ?l?ctiv? op?rations. With mor? ov?r 6 million r?port?d d?aths globally as of January 2024, th? 'd?ath toll' has b??n stagg?ring. Busin?ss?s d?cr?as?d, jobs w?r? lost, and trillions of dollars in GDP w?r? lost as a r?sult of lockdowns and r?strict?d mov?m?nt. Low?r-incom? groups w?r? disproportionat?ly aff?ct?d, although un?mploym?nt h?lps and gov?rnm?nt stimulus h?lp?d l?ss?n th? damag?. As a r?sult, ?conomic in?quality incr?as?d. Lockdowns and oth?r social distancing tactics disrupt?d ?v?ryday lif? and had a n?gativ? psychological impact, particularly on vuln?rabl? populations such as th? ?ld?rly who w?r? isolat?d from th?ir lov?d on?s. Communiti?s w?r? divid?d by th? politicization of vaccination uptak? and mask mandat?s. Som? p?opl?'s acc?ss was wid?n?d via t?l?h?alth and r?mot? ?mploym?nt, whil? oth?rs who lack?d digital acc?ss w?r? l?ft b?hind. As oth?r schools continu?d to r?main clos?d, ?ducational gaps wid?n?d. As wom?n d?part?d th? ?mploym?nt at a disproportionat? rat? to tak? car? of th?ir childr?n and th? ?ld?rly, g?nd?r dispariti?s also gr?w. H?alth syst?ms n??d to b?com? mor? r?sili?nt against futur? ?pid?mics, r?s?arch?rs say, though countri?s ar? op?ning up again, Covid may continu? to b? ?nd?mic (Comas-Herrera, et al. 2020). in?qualiti?s must b? addr?ss?d, and strong?r social s?curity syst?ms ar? r?quir?d to withstand ?conomic fluctuations. K?y l?ssons about how to improv? social contracts, ?conomic growth, and h?alth syst?ms to mor? ?ff?ctiv?ly ?ndur? cris?s may b? l?arn?d from th? ?pid?mic. Still, it's financially and politically chall?nging to put th?s? principl?s into practic?. As a r?sult, th?r? w?r? chall?nging policy d?cisions to b? mad? on how to str?ngth?n th? h?alth, ?conomic, and social s?ctors. In ?ss?nc?, Covid-19 r?v?al?d and aggravat?d pr?-?xisting d?fici?nci?s.
COVID-19 in the UK in general
Ov?r 200, 000 p?opl? hav? di?d as a cons?qu?nc? of th? COVID-19 ?pid?mic in th? UK sinc? it b?gan in ?arly 2020. Th? ?volution of ?ach day's coronavirus d?aths ov?r 2020–2022 is d?pict?d in th? lin? chart.
Figure 1: Coronavirus Death Frequency in 2020
D?aths w?r? low in th? ?arly months of 2020, but in March th?y start?d to ris? significantly and p?ak?d in April during a pr?liminary lockdown across th? country. Th? initially r?cord?d ?xc?ssiv? of mor? than 200 d?aths p?r day was caus?d (Yeyati, et al. 2021) by a lack of immunity, lack of pr?paration, and ignoranc? about th? n?w coronavirus at that mom?nt. With th? ?asing of lockdown m?asur?s throughout th? summ?r, th? numb?r of d?aths d?cr?as?d. In autumn and wint?r, though, a s?cond, far d?adli?r wav? arriv?d.
Figure 2: Coronavirus Death Frequency in 2021
Th? fast-spr?ading Alpha vari?ty is probably what caus?d th? daily d?ath toll to surpass th? spring high in January 2021, wh?n it surpass?d 1, 000. Mortality d?cr?as?d wh?n th? vaccination b?cam? mor? wid?ly availabl? in ?arly 2021. But wh?n boost?r inj?ctions w?r? giv?n, th?y start?d to d?clin? until rising onc? mor? in th? summ?r of 2021 as a r?sult of th? D?lta variant (note BN309, 2020). Sinc? th?n, d?aths hav? d?cr?as?d to n?gligibl? l?v?ls, indicating th? UK's pr?s?nt post-pand?mic p?riod du? to wid?spr?ad immunity.
D?aths p?ak?d again in January 2022, most lik?ly as a r?sult of Omicron. Ov?rall, th? NHS was s?v?r?ly strain?d by th? irr?gular COVID-19 wav?s, which also caus?d backlogs in m?dical s?rvic?s. Th? UK ?conomy, ?ducational syst?m, and m?ntal w?lln?ss r?sults w?r? adv?rs?ly aff?ct?d by th? ?pid?mic. On th? oth?r hand, th? d?cr?as?s in mortality rat?s d?monstrat? how ?ff?ctiv? public h?alth initiativ?s lik? vaccination campaigns, mask laws, lockdowns, and social distanc? hav? b??n in finally saving liv?s. Focusing on r?construction and r?cov?ry throughout all s?ctors aff?ct?d by this onc?-in-a-g?n?ration disast?r, th? UK must b? on th? lookout for n?w vari?ti?s and b? r?ady to impos? mor? limitations if n??d?d.
Impact of COVID-19 on healthcare in the UK
Th? UK's h?althcar? syst?m has b??n drastically impact?d by th? COVID-19 outbr?ak. As th? chart illustrat?s, a substantial proportion of all d?aths in 2020–2022 w?r? caus?d by coronavirus?s.
Figure 4: Death ratio of Coronavirus Cases in 2020-2022
Wh?n th? pand?mic first arise in 2020, 14% of d?aths w?r? caus?d by COVID-19. With th? spr?ad of th? Alpha and D?lta vari?ti?s throughout th? population, this p?rc?ntag? incr?as?d to 30% in 2021. Fortunat?ly, th? COVID-19 shar? has dropp?d to 10% by 2022 du? to wid?spr?ad immunization, but th? ov?rall mortality toll is still rath?r high.
COVID-19 plac?s th? "National H?alth S?rvic?" und?r unparall?l?d strain b?hind th?s? numb?rs. Th? influx of inf?ct?d individuals in n??d of ?m?rg?ncy tr?atm?nt ov?rwh?lm?d hospitals. Du? to th? p?opl? and r?sourc?s b?ing div?rt?d to th? COVID r?action, normal tr?atm?nt was int?rrupt?d. Millions of non-urg?nt op?rations, ?xaminations, and tr?atm?nts w?r? postpon?d at th? h?ight of th? ?pid?mic (Mofijur, et al. 2021). Th?r? hav? b??n s?rious spillov?r cons?qu?nc?s to und?t?ct?d dis?as?s and d?clining chronic disord?rs. Sadly, dom?stic abus? and m?ntal h?alth probl?ms incr?as?d along with lockdowns that k?pt individuals insid? th?ir hous?s.
As a h?althcar? prof?ssional, here p?rsonally ?xp?ri?nc?d th? tr?m?ndous strain that ?mploy??s ?ndur? wh?n n?w pati?nts k??p coming in. Exp?ri?ncing num?rous s?rious illn?ss?s and d?aths has an ?motional toll. But th? ?pid?mic also promot?d amazing coop?ration, community, and duty-driv?nn?ss. Th? introduction of th? immunization program was a fantastic accomplishm?nt accomplish?d by th? NHS. This sav?d a gr?at d?al of liv?s and finally mad? it possibl? to r?mov? limitations. Th? h?althcar? syst?m has ?ndur?d during difficult tim?s and continu?s to b? a sourc? of prid? for th? country (Bambra, et al. 2020). How?v?r, th? magnitud? of th? probl?ms und?rscor?s th? n?c?ssity of ongoing inv?stm?nt and chang? to incr?as? r?sili?nc?. Th? ?ff?cts of th? ?pid?mic ar? unlik?ly to disapp?ar.
Impact of COVID-19 on the economy in the UK
Throughout 2021, th? 'COVID-19 pand?mic' had a significant ?ff?ct on un?mploym?nt in th? Unit?d Kingdom. Th? singl?-month un?mploym?nt l?v?l in thousands, th? thr??-month rolling av?rag?, and th? singl?-month un?mploym?nt rat? ar? all display?d in th? bar charts along with monthly un?mploym?nt statistics. According to th? statistics (Rollston et al. 2020), th? UK had significant un?mploym?nt in th? ?arly months of 2021 du? to tight r?gulations, but this was follow?d by a gradual r?duction throughout th? y?ar as th? distribution of vaccin?s ?nabl?d th? ?conomy to r?cov?r.
Figure 5: Frequency between Single-month and Three-month unemployment rates in 2021
Th? "singl?-month un?mploym?nt rat?" in January 2021 was 5. 1%, or 1. 67 million un?mploy?d p?opl?. Th? COVID-19 ?pid?mic was dir?ctly r?sponsibl? for th? high un?mploym?nt rat? as it r?duc?d th? numb?r of jobs availabl? du? to string?nt limitations on ?nt?rpris?s and activiti?s (Di Gessa, et al. 2022). Th? "thr??-month rolling av?rag?, " which was 5. 3%, indicat?d that th? rat? of un?mploym?nt had continu?d to b? high throughout th? last f?w months of 2020. Rollouts of vaccin?s start?d ?arly in 2021, raising hop?s that things would g?t b?tt?r.
Th? rat? of un?mploym?nt r?mains high in F?bruary and March, hov?ring around 5%, or 1. 6 million individuals. This indicat?s that th? financial cons?qu?nc?s of th? limitations w?r? still significant. But by April, th? 'singl?-month rat?' had fall?n to 4. 9%, signaling th? b?ginning of a sustain?d d?cr?as? as th? limitations loos?n?d a littl?. Th? "Fr??dom Day" r?op?ning in Jun? r?sult?d in a 4. 6% un?mploym?nt rat?, or 1. 5 million jobs, most lik?ly as a r?sult of high?r consum?r and company ?xp?nditur?.
Figure 6: Frequency of Single month Level (000s) unemployment in 2021
As th? ?conomy gr?w furth?r, un?mploym?nt r?main?d low in th? 2nd quart?r of 2021. In D?c?mb?r, th? low?st monthly rat? was 3. 9%, or 1. 29 million individuals. Compar?d to th? b?ginning of th? y?ar, th?r? hav? b??n 700, 000 f?w?r jobl?ss p?rsons, indicating a robust r?bound. Ov?r th? y?ar, th? 'thr??-month av?rag?' d?cr?as?d as w?ll, indicating consist?nt progr?ss. Based on the ?xp?ri?nc? confirms th?s? tr?nds: as 2021 w?nt toward obs?rv?d an incr?as? in th? numb?r of job op?nings post?d and h?ard from r?lationships who had s?cur?d n?w positions.
Ov?rall, th? statistics show how th? ?arly 2021 COVID-19 limitations had a n?gativ? influ?nc? on th? UK ?conomy, as s??n by th? high p?rc?ntag? of un?mploym?nt. Impl?m?ntations of vaccin?s mad? r?op?ning possibl?, and un?mploym?nt f?ll gradually (Bhat, et al. 2020). But un?mploym?nt continu?d to b? high?r than it was b?for? th? ?pid?mic, indicating that r?cov?ry is still r?quir?d. Sp?cific gov?rnm?nt initiativ?s might hast?n th? r?vival of th? labor mark?t and low?r un?mploym?nt to mor? typical l?v?ls.
Conclusion
Th? ?ff?cts of COVID-19 on th? UK's ?conomy, h?alth, social lif? and ar? all ?xamin?d in this ?ssay. It d?monstrat?s tr?nds in coronavirus fataliti?s, un?mploym?nt rat?s, and oth?r indicators lasting 2020–2022 using quantitativ? data in th? form of bar graphs and lin? charts. Altog?th?r, COVID-19 impos?d s?v?r? strain on th? 'h?althcar? syst?m', un?mploym?nt and ?conomic downturn, and social discord b?caus? of lockdowns. But vaccination programs allow?d for h?aling and r?op?ning. Furth?rmor?, this study off?rs a thorough ?xamination of th? ?xt?nt to which COVID-19 impact?d th? UK in t?rms of social, h?althcar?, and ?conomic asp?cts. Th? information visualizations aid in illustrating th? impact's magnitud?. Ev?n whil? th?r? has b??n improv?m?nt, COVID-19 ?xpos?d structural flaws that n??d to b? addr?ss?d to str?ngth?n r?sistanc? to futur? cris?s, such as an 'und?rfund?d h?althcar? syst?m'. Gov?rnm?nt programs that ar? sp?cifically aim?d at th? hard?st-hit industri?s h?lp sp??d up r?cov?ry.
Task 2: Excel Exercises
Globally, th? automotiv? s?ctor is a significant ?conomic driv?r. In 2021, th?r? w?r? about 17. 00 million n?w v?hicl?s and small trucks sold in th? US. In addition, almost 1. 60 million n?w automobil?s hav? b??n r?gist?r?d in th? Unit?d Kingdom in 2021. In 2021, sal?s of n?w cars in Australia topp?d on? million units. As of 2021, China stands as th? larg?st automobil? mark?t in th? world, having sold ov?r 20. 00 million automobil?s for pass?ng?rs. distinct nations hav? distinct factors influ?ncing automotiv? sal?s, such as custom?r pr?f?r?nc?s, gov?rnm?nt policy, and ?conomic situations. Globally, th? car industry is still d?v?loping in r?spons? to shifting consum?r n??ds and t?chnological advanc?m?nts.
Analysis
Figure 7: Descriptive Statistics Analysis
Th? d?scriptiv? statistics d?liv?r insight into k?y p?rformanc? indicators for car sal?s ord?rs. Th? 'm?an' numb?r of ord?rs is approximat?ly 10, 260. 00, th? 'm?an' quantity of ord?rs is 35. 00 units, th? 'm?an' pric? for ?ach unit was $101. 00, and th? 'm?an' ord?r numb?r for ?ach lin? is 6. 00, according to th? m?asur?m?nt of c?ntral t?nd?ncy (Wang, et al. 2021). This sugg?sts that th? majority of purchas?s w?r? in th? t?ns of thousands, with an av?rag? of littl? ov?r $100. 00 p?r car and roughly thirty-fiv? distinct lin? it?ms in on ?v?ry ord?r. Th? numb?rs for "standard d?viation" and "varianc?" indicat? that th? data is quit? disp?rs?d, ?sp?cially wh?n it com?s to sal?s quantiti?s, which hav? a "standard d?viation" (Nusantara, et al. 2021) of mor? than 1, 800. 00 and a varianc? of mor? than 3. 30 million, r?sp?ctiv?ly. Although th?r? is consid?rabl? l?ft sk?w?d toward l?ss valu?s, th? data rang?s ar? mostly normal according to th? "sk?wn?ss" and "kurtosis" crit?ria. Th? whol? rang? of th? data, from low to ?xtr?m?ly high valu?s, is highlight?d by th? maximum, minimum, and rang?.
Figure 8: Regression Statistics Analysis
Th? association b?tw??n th? total numb?r of cars ord?r?d and global car sal?s is inv?stigat?d using "r?gr?ssion statistics" r?s?arch. Giv?n th? low?r 'Multipl? R valu?' of 0. 010161305, th? r?s?arch r?v?al?d an incr?dibly w?ak positiv? r?lationship b?tw??n sal?s and quantity ord?r?d (Grieco, et al. 2023). Th? amount of cars ord?r?d accounts for just 0. 01% of th? fluctuation in global automotiv? sal?s, according to th? 'R-squar?d valu?' of 0. 000103252. This indicat?s that variabl?s oth?r than ord?r quantity, such th? stat? of th? ?conomy, custom?r pr?f?r?nc?s, and production costs, hav? a much bigg?r impact on ov?rall sal?s. Th? statistical significanc? of th? association b?tw??n sal?s and amount ord?r?d is not support?d by th? small 'F-valu?' of 0. 283456308 and a substantial 'p-valu?' of 0. 594487818. Ultimat?ly, th? r?gr?ssion (Peck, et al. 2020) ?xamination r?v?als that th? numb?r of cars ord?r?d was a v?ry poor indicator of global car sal?s. This d?monstrat?s th? compl?xity and div?rsity of th? global automotiv? s?ctor. Sal?s ar? impact?d by a wid? rang? of int?rconn?ct?d factors outsid? of industrial output, such as disposabl? incom?, gov?rnm?ntal laws, and cultural tr?nds. Mor? r?s?arch that tak?s into account various political, social, and ?conomic variabl?s would sh?d mor? light on th? global issu?s influ?ncing v?hicl? sal?s.
Figure 9: Normal Probability Plot of Regression Statistics Analysis
An analysis of a data s?t's normal distribution using a graphical m?thod call?d a "normal probability plot." R?garding global automobil? sal?s, this graph can show if sal?s data from various countri?s and locations follow a r?gular b?ll curv?. By looking at th? plot, r?s?arch?rs may d?t?rmin? if th? data points fr?qu?ntly align with th? straight diagonal lin? that symboliz?s a hypoth?tical normal distribution. Statistical sk?wn?ss or possibl? outli?rs ar? indicat?d by points that ?xhibit an S-shap?d tr?nd (Belloto, et al. 2019). Significant d?partur?s from th? lin? point to non-normality. Th? 'normal probability plot', in g?n?ral, ?nabl?s consum?rs to visually v?rify th? normality hypoth?s?s that ar? important for multipl? statistical analys?s and mod?ls that ar? appli?d to global car sal?s data. Appropriat? m?thods for additional sal?s for?casting, data-driv?n d?cision-making, and mark?t simulations in th? global automobil? s?ctor ar? inform?d by th? r?sults of this pr?liminary inv?stigation.
Figure 10: Fluctuation of Automobile Price in Each Country
Th? following lin? graph shows how automobil? costs chang?d in th? four primary countri?s of th? US, China, G?rmany, and Japan b?tw??n 2010 and 2020. In summary, th? graph indicat?s that, with minor ?xc?ptions, car costs hav? b??n mostly constant in most nations. Pric?s in th? US progr?ssiv?ly d?cr?as?d b?tw??n 2010 and 2014 b?for? normalizing b?tw??n 2014 and 2020. Pric?s in China incr?as?d st?adily b?tw??n 2010 and 2020. Pric?s in Japan f?ll pr?cipitously b?tw??n 2011 and 2013, th?n stabiliz?d b?tw??n 2013 and 2020. Pric?s in G?rmany incr?as?d som?what b?tw??n 2010 and 2013, th?n gradually d?cr?as?d b?tw??n 2013 and 2020. In conclusion, th? lin? graph off?rs a r?vi?w of th? many pricing patt?rns that hav? occurr?d during th? pr?vious t?n y?ars in th? major v?hicl? mark?ts. Important information includ?s China's consist?nt growth and th? US and G?rmany's pricing d?cr?as?s.
Figure 11: Automobile Sales Growth in Each Three Country
Th? sal?s growth in th? automotiv? s?ctor across many countri?s globally is shown by th? pi? chart. China controls th? global automobil? industry, accounting for 29% of sal?s, which is a r?fl?ction of th? nation's incr?asing urbanization and financial r?sourc?s. With 17% of th? world's car sal?s, th? Unit?d Stat?s trails b?hind, h?lp?d by its improving ?conomy following th? 2008 financial crisis. 10% of th? mark?t is cr?dit?d to Japan, which is known for producing r?asonably pric?d and fu?l-?ffici?nt automobil?s (Dupor, et al. 2020). Du? to th?ir rapid ?conomic ?xpansion, ?m?rging ?conomi?s such as Brazil and India account for 9% and 8% of th? shar?s, accordingly. Oth?r nations throughout th? world split up th? r?maining 27% shar?. In conclusion, th? pi? chart off?rs information on th? p?rformanc? of th? main ?conomi?s d?p?nding on mark?t shar? as w?ll as th? patt?rns of growth in automotiv? sal?s.
Summary of Analysis
Global automobil? sal?s statistical analysis id?ntifi?s intricat? patt?rns and tr?nds shap?d by a vari?ty of political, social, and cultural variabl?s. Sal?s numb?rs don't r?v?al much, but pricing variations and mark?t shar? ratios highlight r?gional and national variations. Additional multivariat? analytic study would provid? mor? light on th? compl?xiti?s of th? global automobil? industry.
Task 3: PowerPoint Evaluation of Online Learning
Slide 1: Cover page
Slide 2: Table of Content
Slide 3: Introduction
Common ?ducational choic? is onlin? l?arning
W?ighs th? b?n?fits and drawbacks of onlin? l?arning
Alt?rnativ? to conv?ntional in-p?rson training
S.N.
An incr?asingly common ?ducational choic? is onlin? l?arning. This ?valuation w?ighs th? b?n?fits and drawbacks of onlin? l?arning in ord?r to pr?s?nt an ?quitabl? ass?ssm?nt of its suitability as an alt?rnativ? to conv?ntional in-p?rson training.
Slide 4: Description of online learning
Onlin? l?arning involv?s stud?nts l?arning virtually ov?r th? Int?rn?t in plac? of att?nding in-p?rson ?ducational institutions
Acc?ssibility, s?lf-pac?d l?arning (Hoi, et al. 2021), fl?xibility and ar? som? b?n?fits of onlin? l?arning
Th? lack of social conn?ction, t?chnological probl?ms, and troubl? maintaining motivation ar? som? drawbacks
S.N.
A typ? of ?ducation known as onlin? l?arning involv?s stud?nts l?arning virtually ov?r th? Int?rn?t in plac? of att?nding in-p?rson ?ducational institutions. Acc?ssibility, s?lf-pac?d l?arning, fl?xibility and ar? som? b?n?fits of onlin? l?arning. Th? lack of social conn?ction, t?chnological probl?ms, and troubl? maintaining motivation ar? som? drawbacks. All things consid?r?d, onlin? l?arning can b? an ?ff?ctiv? alt?rnativ? for multipl? stud?nts if us?d wis?ly.
Slide 5: Positives of online learning
Fl?xibility to l?arn at any tim? and from any plac?
Furth?r int?rn?t tools and r?sourc?s (Nambiar, 2020) ar? at on?'s disposal
L?ss ?xp?nsiv? mayb? than in-p?rson instruction
S.N.
Some positives of onlin? l?arning are th? fl?xibility to l?arn at any tim? and from any plac?, With s?lf-pac?d l?arning, here can conc?ntrat? on th? subj?cts that n??d most, Furth?r int?rn?t tools and r?sourc?s ar? at on?'s disposal, L?ss ?xp?nsiv? mayb? than in-p?rson instruction, Conv?ni?nt for thos? who hav? mobility chall?ng?s or duti?s.
Slide 6: Negatives of online learning
Abs?nc? of fac?-to-fac? conv?rsations and ?xchang?s
Lack of d?fin?d class tim?s (Syahputri, et al. 2020) mak?s it mor? difficult to r?main focus?d and motivat?d
Possibility of dom?stic distractions is a chall?ng? to find t?ach?rs to assist stud?nts promptly
S.N.
Som? negatives of onlin? l?arning includ? th? abs?nc? of fac?-to-fac? conv?rsations and ?xchang?s, T?chnical probl?ms that imp?d? l?arning such as a bad int?rn?t conn?ction, Lack of d?fin?d class tim?s mak?s it mor? difficult to r?main focus?d and motivat?d. Possibility of dom?stic distractions is a chall?ng? to find t?ach?rs to assist stud?nts promptly, Monitoring ass?ssm?nts can b? mor? difficult.
Slide 7: Conclusion
Onlin? l?arning off?rs trad?offs inst?ad of a cat?gorically b?tt?r or wors? substitut? for r?gular classroom instruction
Stud?nts can d?cid? wh?th?r th? conv?ni?nc? and fl?xibility of onlin? l?arning
Onlin? l?arning mak? it an ad?quat? match for th?ir r?quir?m?nts by ass?ssing th? b?n?fits and drawbacks
S.N.
Onlin? l?arning off?rs trad?offs inst?ad of a cat?gorically b?tt?r or wors? substitut? for r?gular classroom instruction. Stud?nts can d?cid? wh?th?r th? conv?ni?nc? and fl?xibility of onlin? l?arning mak? it an ad?quat? match for th?ir r?quir?m?nts by ass?ssing th? b?n?fits and drawbacks.
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Slide 8: References
Reference List
Journals
Task 1
Bambra, C., Riordan, R., Ford, J. and Matthews, F., 2020. The COVID-19 pandemic and health inequalities. J Epidemiol Community Health.
Bhat, B.A., Khan, S., Manzoor, S., Niyaz, A., Tak, H.J., Anees, S.U.M., Gull, S. and Ahmad, I., 2020. A study on impact of COVID-19 lockdown on psychological health, economy and social life of people in Kashmir. International Journal of Science and Healthcare Research, 5(2), pp.36-46.
Clemente-Suárez, V.J., Navarro-Jiménez, E., Moreno-Luna, L., Saavedra-Serrano, M.C., Jimenez, M., Simón, J.A. and Tornero-Aguilera, J.F., 2021. The impact of the COVID-19 pandemic on social, health, and economy. Sustainability, 13(11), p.6314.
Comas-Herrera, A., Fernandez, J.L., Hancock, R., Hatton, C., Knapp, M., McDaid, D., Malley, J., Wistow, G. and Wittenberg, R., 2020. COVID-19: Implications for the support of people with social care needs in England. Journal of aging & social policy, 32(4-5), pp.365-372.
Di Gessa, G., Maddock, J., Green, M.J., Thompson, E.J., McElroy, E., Davies, H.L., Mundy, J., Stevenson, A.J., Kwong, A.S., Griffith, G.J. and Katikireddi, S.V., 2022. Pre-pandemic mental health and disruptions to healthcare, economic and housing outcomes during the COVID-19 pandemic: evidence from 12 UK longitudinal studies. The British Journal of Psychiatry, 220(1), pp.21-30.
Mofijur, M., Fattah, I.R., Alam, M.A., Islam, A.S., Ong, H.C., Rahman, S.A., Najafi, G., Ahmed, S.F., Uddin, M.A. and Mahlia, T.M.I., 2021. Impact of COVID-19 on the social, economic, environmental and energy domains: Lessons learnt from a global pandemic. Sustainable production and consumption, 26, pp.343-359.
note BN309, I.B., 2020. COVID-19 and disruptions to the health and social care of older people in England. The Institute for Fiscal Studies.
Rollston, R. and Galea, S., 2020. COVID-19 and the social determinants of health. American Journal of Health Promotion, 34(6), pp.687-689.
Yeyati, E.L. and Filippini, F., 2021. Social and economic impact of COVID-19. Brookings Institution.
Task 2
Belloto, J.R.J. and Sokolovski, T.D., 2019. Residual analysis in regression. American Journal of Pharmaceutical Education, 49(3), pp.295-303.
Dupor, B., Mehkari, M. and Tsai, Y.C., 2020. The 2008 US auto market collapse. FRB St. Louis Working Paper, (2020-4).
Grieco, P.L., Murry, C. and Yurukoglu, A., 2023. The evolution of market power in the us automobile industry. The Quarterly Journal of Economics, p.qjad047.
Nusantara, T., Rahmatina, D. and Purnomo, H., 2021. The Statistical Creative Framework in Descriptive Statistics Activities. International Journal of Instruction, 14(2), pp.591-608.
Peck, R., Short, T. and Olsen, C., 2020. Introduction to statistics and data analysis. Cengage Learning.
Wang, Y.Y., Guo, C., Susarla, A. and Sambamurthy, V., 2021. Online to offline: The impact of social media on offline sales in the automobile industry. Information Systems Research, 32(2), pp.582-604.
Task 3
Hoi, S.C., Sahoo, D., Lu, J. and Zhao, P., 2021. Online learning: A comprehensive survey. Neurocomputing, 459, pp.249-289.
Nambiar, D., 2020. The impact of online learning during COVID-19: students’ and teachers’ perspective. The International Journal of Indian Psychology, 8(2), pp.783-793.
Syahputri, V.N., Rahma, E.A., Setiyana, R., Diana, S. and Parlindungan, F., 2020. Online learning drawbacks during the Covid-19 pandemic: A psychological perspective. EnJourMe (English Journal of Merdeka): Culture, Language, and Teaching of English, 5(2), pp.108-116.
-unemployment-in-2021_6807193fb859f.webp "Frequency of Single month Level (000s) unemployment in 2021")
