Summary of your 'study carrel' ============================== This is a summary of your Distant Reader 'study carrel'. The Distant Reader harvested & cached your content into a collection/corpus. It then applied sets of natural language processing and text mining against the collection. The results of this process was reduced to a database file -- a 'study carrel'. The study carrel can then be queried, thus bringing light specific characteristics for your collection. These characteristics can help you summarize the collection as well as enumerate things you might want to investigate more closely. This report is a terse narrative report, and when processing is complete you will be linked to a more complete narrative report. Eric Lease Morgan Number of items in the collection; 'How big is my corpus?' ---------------------------------------------------------- 52 Average length of all items measured in words; "More or less, how big is each item?" ------------------------------------------------------------------------------------ 6109 Average readability score of all items (0 = difficult; 100 = easy) ------------------------------------------------------------------ 51 Top 50 statistically significant keywords; "What is my collection about?" ------------------------------------------------------------------------- 50 South 18 Korea 16 COVID-19 14 Africa 3 covid-19 3 China 3 Asia 2 south 2 information 2 health 2 age 2 SARS 2 Health 2 HIV 2 East 2 Asians 1 woman 1 virus 1 vaccine 1 urban 1 type 1 transition 1 sovereignty 1 security 1 risk 1 response 1 respiratory 1 production 1 prison 1 price 1 policy 1 patient 1 panic 1 pandemic 1 oil 1 mobility 1 market 1 malaria 1 law 1 korean 1 insurance 1 informal 1 income 1 hospital 1 food 1 family 1 disease 1 desire 1 country 1 counsellor Top 50 lemmatized nouns; "What is discussed?" --------------------------------------------- 919 case 853 % 804 health 704 country 701 study 666 risk 582 time 557 information 533 datum 500 infection 463 level 459 people 453 community 452 disease 446 number 442 food 433 virus 428 government 413 pandemic 393 patient 392 group 374 research 372 analysis 349 model 347 contact 346 care 345 change 322 outbreak 320 participant 318 policy 317 response 317 child 316 system 314 population 309 life 301 result 301 family 299 area 284 factor 283 mobility 280 transmission 280 coronavirus 273 day 268 age 265 hospital 261 worker 261 measure 260 insurance 259 year 255 use Top 50 proper nouns; "What are the names of persons or places?" -------------------------------------------------------------- 1399 South 709 Korea 678 Africa 652 COVID-19 454 al 361 et 332 . 261 China 217 SARS 203 Health 150 HIV 146 March 138 Fig 135 CoV-2 130 Asia 125 HealthWISE 106 World 103 q 96 National 93 United 92 US 92 April 88 North 85 Seoul 84 Coronavirus 82 East 82 ASFV 79 States 79 India 78 University 78 Research 78 Italy 77 February 76 KCDC 68 Table 68 May 67 Singapore 65 Qukezwa 64 August 63 REC 63 African 63 AGYW 62 Prevention 62 A1c 61 Organization 61 Disease 60 USA 60 Province 60 Hospital 59 January Top 50 personal pronouns nouns; "To whom are things referred?" ------------------------------------------------------------- 1151 it 1112 we 618 they 303 i 222 he 213 them 174 she 150 you 112 us 78 themselves 55 her 54 him 47 itself 45 me 35 one 18 himself 11 myself 9 ourselves 8 herself 7 yourself 6 hadv-4 2 ours 2 oneself 2 https://doi.org/10.1101/2020.08 2 's 1 지도로 1 year….they 1 ya 1 ws 1 u 1 s 1 pseudonyms 1 mine 1 hers 1 and/ Top 50 lemmatized verbs; "What do things do?" --------------------------------------------- 9619 be 2323 have 625 use 515 include 481 do 457 report 389 base 364 show 335 provide 327 make 300 increase 295 develop 286 take 248 see 241 confirm 236 find 232 identify 230 relate 218 estimate 216 give 216 follow 205 live 189 suggest 189 need 182 become 179 reduce 176 indicate 174 understand 171 consider 168 associate 165 lead 162 work 159 help 155 protect 148 describe 148 compare 147 remain 144 require 143 seek 142 know 140 support 137 emerge 132 cause 131 create 130 enable 130 control 129 exist 129 conduct 128 reveal 127 infect Top 50 lemmatized adjectives and adverbs; "How are things described?" --------------------------------------------------------------------- 1234 not 793 also 695 more 604 other 550 - 548 social 546 such 517 high 366 only 355 well 342 new 336 however 331 most 326 first 303 public 296 economic 294 south 294 low 293 as 265 many 262 human 255 local 250 important 247 african 244 covid-19 237 global 217 different 211 early 205 long 202 non 199 large 193 available 190 thus 190 great 178 national 174 further 172 even 170 then 161 significant 161 international 158 key 157 old 155 up 152 political 152 effective 151 mental 150 positive 150 often 150 e.g. 146 possible Top 50 lemmatized superlative adjectives; "How are things described to the extreme?" ------------------------------------------------------------------------- 93 most 61 least 57 high 44 good 37 large 23 Most 21 low 20 great 11 late 10 small 8 poor 8 big 7 bad 5 short 4 young 4 early 3 strong 3 long 2 fast 2 easy 2 close 1 wealthy 1 weak 1 warm 1 tough 1 tight 1 rv.rt 1 rich 1 old 1 needy 1 near 1 grave 1 deep 1 cruell 1 common 1 2890eb789dd3fa1cfba363174b669535026cac62 1 -16.13 Top 50 lemmatized superlative adverbs; "How do things do to the extreme?" ------------------------------------------------------------------------ 238 most 29 least 6 well 5 hard 1 worst 1 highest Top 50 Internet domains; "What Webbed places are alluded to in this corpus?" ---------------------------------------------------------------------------- 25 doi.org 4 orcid.org 3 data.ohdsi.org 2 www.ghrpinnovation.com 2 www.apple.com 2 www 2 github.com 1 wwwnc.cdc.gov 1 www.worldometers.info 1 www.who.int 1 www.thenation.com 1 www.thehastingscenter 1 www.theguardian.com 1 www.nytimes.com 1 www.npr.org 1 www.newyorker.com 1 www.frontiersin.org 1 www.ete-online.com 1 www.cebm 1 ourworldindata.org 1 oecddevelopment-matters.org 1 forms.gle 1 doi 1 creativecommons.org 1 creat 1 blast.ncbi.nlm.nih.gov 1 afrobarometer.org Top 50 URLs; "What is hyperlinked from this corpus?" ---------------------------------------------------- 11 http://doi.org/10.1101/2020.08.23.20157073 5 http://doi.org/10.1101/2020.03.09.20033464 3 http://data.ohdsi.org/Covid19CharacterizationCharybdis/ 2 http://www.apple.com/covid19/mobility 2 http://www 2 http://doi.org/10.1101/2020.09.02.20186742 2 http://doi.org/10.1101/2020.08 1 http://wwwnc.cdc.gov/EID/ 1 http://www.worldometers.info/coronavirus/country/south-korea/ 1 http://www.who.int/tb/xdr/xdr_jan.pdf 1 http://www.thenation.com/article/world/coronavirus-south-koreaamerica/ 1 http://www.thehastingscenter 1 http://www.theguardian.com/us-news/2020/mar/28/ 1 http://www.nytimes.com/2020/03/23/world/asia/coronavirus-south-korea-flattencurve.html?fbclid=IwAR3gM6G9QrqRQYtJjeBbhihr0SML6nelFvdSj12Cu6AVz65i9vyCsY-JuOGQ 1 http://www.npr.org/2020/03/12/815097813/ 1 http://www.newyorker.com/news/dispatch/the-comforts-of-south-koreas-coronavirusresponse?fbclid=IwAR2k5EOUHMUwlzIAB6MgwjJaYrcKB8-pENpvliJLOh7xud0D848PR-LanHqw 1 http://www.ghrpinnovation.com/ProtectPatti/Eng/index 1 http://www.ghrpinnovation.com/ 1 http://www.frontiersin.org/articles/10.3389/fpsyg.2020 1 http://www.ete-online.com/content/11/1/4 1 http://www.cebm 1 http://ourworldindata.org/ 1 http://orcid.org/0000-0003-0870-147X 1 http://orcid.org/0000-0003-0076-5954 1 http://orcid.org/0000-0002-7692-052X 1 http://orcid.org/0000-0001-8352-3541 1 http://oecddevelopment-matters.org/2020/04/22/the-covid-19-crisis-income-support-to-informal-workers-isnecessary-and-possible 1 http://github.com/yejinjkim/covid19-transmission-network 1 http://github.com/ohdsistudies/Covid19CharacterizationCharybdis 1 http://forms.gle/4zkooaXm4ZfYznUYA 1 http://doi.org/10.5281/zenodo.3978101 1 http://doi.org/10.1101/2020.10.28.20221143 1 http://doi.org/10.1101/2020.05.07.20091769 1 http://doi.org/10.1038/s41579-020-00441-3 1 http://doi.org/10 1 http://doi 1 http://creativecommons.org/licenses/by/4.0/ 1 http://creat 1 http://blast.ncbi.nlm.nih.gov/Blast.cgi 1 http://afrobarometer.org/online-data-analysis/analyse-online Top 50 email addresses; "Who are you gonna call?" ------------------------------------------------- Top 50 positive assertions; "What sentences are in the shape of noun-verb-noun?" ------------------------------------------------------------------------------- 4 health was not 4 korea has not 4 korea was able 4 study did not 3 data was available 3 information is available 3 model is also 3 numbers were not 3 pandemic is not 2 africa is also 2 case report forms 2 covid-19 is higher 2 data do not 2 food is not 2 food is sufficient 2 government had already 2 group reported higher 2 group was more 2 health are bidirectional 2 infection were more 2 information was necessary 2 korea is more 2 models include province 2 pandemic has also 2 people do n't 2 people do not 2 risk is not 2 study are available 2 study is not 2 viruses are viruses 1 % are virally 1 % became unemployed 1 % had type 1 % have history 1 % indicated reduced 1 % reported parental 1 % reported smoking 1 % use private 1 % were married 1 % were men 1 % were new 1 % were not 1 % were single 1 % were street 1 % were unemployed 1 africa are commonly 1 africa are former 1 africa are more 1 africa are particularly 1 africa are unlikely Top 50 negative assertions; "What sentences are in the shape of noun-verb-no|not-noun?" --------------------------------------------------------------------------------------- 2 health was not good 1 cases are not completely 1 cases does not necessarily 1 covid-19 is not unexpected 1 data was not available 1 disease are not well 1 diseases is not well 1 food is not only 1 governments do not usually 1 groups do not substantially 1 infection was not directly 1 information is not explicitly 1 korea was not as 1 models is not simply 1 numbers were not initially 1 numbers were not overly 1 patients is no more 1 peoples were not capable 1 risk is not high 1 risk is not significantly 1 study are not substantially 1 study did not initially 1 study did not specifically 1 study had no role 1 study is not exempt 1 study is not free A rudimentary bibliography -------------------------- id = cord-297047-ew9l9yjd author = Ali, Shahmir H. title = Preventing Type 2 Diabetes among South Asian Americans through community-based lifestyle interventions: a systematic review date = 2020-08-21 keywords = Asians; South summary = doi = 10.1016/j.pmedr.2020.101182 id = cord-263650-jxkjn8ld author = Andruske, Cynthia Lee title = Family care across diverse cultures: Re-envisioning using a transnational lens date = 2020-10-20 keywords = Canada; South; age; care; family summary = doi = 10.1016/j.jaging.2020.100892 id = cord-307610-tqvt5hzr author = Arora, Amarpreet Singh title = Current perspective of COVID-19 spread across South Korea: exploratory data analysis and containment of the pandemic date = 2020-08-08 keywords = COVID-19; Korea; South summary = doi = 10.1007/s10668-020-00883-y id = cord-024078-d34e31zd author = Baldwin-Ragaven, Laurel title = Social Dimensions of COVID-19 in South Africa: A Neglected Element of the Treatment Plan date = 2020-04-17 keywords = Africa; COVID-19; Health; South; World summary = From the social distancing necessary to reduce the speed of transmission and flatten the curve, to buying essential goods for the duration of a communal lockdown, to the suffering endured by not consuming alcohol and tobacco, to reports about the personal and collective economic costs, to the nightly release of case statistics by geographical region, to the biographies of those who have died, we have amassed a hefty repository of pandemic stories that are intended to reveal a shared humanity and promote common cause. The National Department of Health in its COVID-19 Infection Prevention and Control Guidelines for South Africa states an obvious truth about combatting the spread of the virus in our particular situation: "South Africa has a unique challenge of a large vulnerable immunocompromised population living in overcrowded conditions".(13) Over the past 26 years, prior to being hit by the SARS-CoV-2 virus, this is a frank admission that we have been sluggish in our duty to address the needs of the masses. doi = 10.18772/26180197.2020.v2nsia6 id = cord-024077-7o3qhfk3 author = Behrens, Kevin G. title = Clinical Ethical Challenges in the Covid-19 Crisis in South Africa date = 2020-04-17 keywords = South summary = They assert, "priority for limited resources should aim both at saving the most lives and at maximizing improvements in individuals'' post-treatment length of life".(2) Given the lack of time and information in this pandemic, they go on to claim that it is "justifiable to give priority to maximizing the number of patients that survive treatment with a reasonable life expectancy and to regard maximizing improvements in length of life as a subordinate aim".(2) Several recent publications broadly agree with this position.(3-6) Emanuel et al. Allocation of scarce critical care resources during the COVID-19 public health emergency in South Africa.