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?' ---------------------------------------------------------- 43 Average length of all items measured in words; "More or less, how big is each item?" ------------------------------------------------------------------------------------ 3452 Average readability score of all items (0 = difficult; 100 = easy) ------------------------------------------------------------------ 55 Top 50 statistically significant keywords; "What is my collection about?" ------------------------------------------------------------------------- 43 Iran 9 COVID-19 5 covid-19 3 case 3 China 2 SARS 2 Russia 2 IBV 2 H9N2 2 April 1 virus 1 stress 1 sanction 1 prevalence 1 power 1 pharmaceutical 1 participant 1 misinformation 1 hospital 1 health 1 energy 1 disaster 1 death 1 chinese 1 biological 1 Working 1 United 1 USA 1 Trump 1 Toxocara 1 Toxascaris 1 Tehran 1 States 1 SVM 1 Research 1 PWUD 1 PCR 1 Nowruz 1 Newcastle 1 New 1 NSCIR 1 March 1 Kazakhstan 1 Health 1 Group 1 Fars 1 Eimeria 1 EMRI 1 Cord 1 Caspian Top 50 lemmatized nouns; "What is discussed?" --------------------------------------------- 609 % 542 case 495 country 451 study 410 virus 409 energy 403 datum 400 disease 368 infection 317 model 303 outbreak 303 health 297 number 260 time 242 patient 235 hospital 231 death 222 people 219 policy 212 system 211 epidemic 202 risk 201 analysis 198 pandemic 189 rate 182 year 175 factor 173 misinformation 172 sanction 172 population 171 province 160 measure 157 result 154 response 151 government 148 research 148 information 147 resource 142 level 139 influenza 139 author 137 day 137 coronavirus 132 method 130 disaster 125 security 124 control 120 transmission 116 impact 114 power Top 50 proper nouns; "What are the names of persons or places?" -------------------------------------------------------------- 967 Iran 375 COVID-19 252 al 249 China 191 et 156 . 154 March 117 H9N2 115 Health 108 SARS 94 US 87 Russia 86 IBV 84 April 78 Tehran 76 Coronavirus 73 Toxocara 73 Fig 72 CoV-2 61 United 60 February 57 USA 57 EMRI 54 PCR 53 Wuhan 53 World 53 Trump 53 States 52 ES 51 Kazakhstan 50 Province 50 HA 47 New 47 Caspian 46 Table 46 Organization 44 ND 44 IR 43 National 42 Fars 41 Sea 39 sha 39 January 39 East 38 Qom 38 Azerbaijan 37 Middle 37 CC 36 Toxascaris 35 Research Top 50 personal pronouns nouns; "To whom are things referred?" ------------------------------------------------------------- 445 we 342 it 136 they 69 i 45 them 23 us 18 you 13 itself 12 he 6 themselves 6 one 4 she 2 him 1 ourselves 1 me 1 himself Top 50 lemmatized verbs; "What do things do?" --------------------------------------------- 4319 be 1087 have 488 use 292 base 273 include 215 report 200 show 165 provide 159 do 136 estimate 135 make 122 consider 118 increase 118 identify 116 follow 114 develop 105 find 104 accord 100 confirm 99 take 90 relate 90 lead 87 infect 83 spread 78 compare 77 assess 76 affect 73 isolate 70 reduce 68 need 68 control 66 indicate 65 set 64 cause 62 see 62 obtain 61 give 56 support 56 change 54 require 54 collect 52 remain 52 present 52 conduct 51 display 51 become 50 implement 49 test 49 occur 48 suggest Top 50 lemmatized adjectives and adverbs; "How are things described?" --------------------------------------------------------------------- 425 not 286 other 276 more 276 high 267 also 217 such 211 first 200 covid-19 197 social 194 - 189 different 177 new 169 infectious 156 public 154 most 150 however 143 economic 135 well 130 iranian 115 infected 115 human 115 effective 113 international 111 early 109 many 109 low 108 available 106 respiratory 101 important 101 as 100 significant 99 only 96 clinical 93 avian 90 biological 89 large 89 global 86 various 85 medical 84 national 80 current 79 total 76 renewable 74 several 74 major 73 chinese 71 then 70 olfactory 69 similar 68 non Top 50 lemmatized superlative adjectives; "How are things described to the extreme?" ------------------------------------------------------------------------- 64 most 45 high 35 good 24 large 21 Most 19 least 13 low 8 tough 8 bad 6 great 5 late 3 big 2 go.irimc.org/smellt 1 wet 1 warm 1 smart 1 early 1 dry 1 deep 1 cord-340132-t77pab71 1 cold 1 close Top 50 lemmatized superlative adverbs; "How do things do to the extreme?" ------------------------------------------------------------------------ 90 most 9 least 6 well 4 hard 1 highest Top 50 Internet domains; "What Webbed places are alluded to in this corpus?" ---------------------------------------------------------------------------- 28 doi.org 3 creativecommons.org 2 emri.tums.ac.ir 1 www.worldclim.org 1 www.timesofisrael.com 1 www.phylogeny.fr 1 www.openstreetmap.org 1 www.nooresepid.com 1 www.middleeasteye.net 1 www.chatrango.com 1 www 1 toloo.org 1 srsorg 1 simayesabz.org 1 salamat.gov.ir 1 nhi.org.ir 1 ird.behdasht.gov.ir 1 doi 1 data.worldbank.org 1 cran.r-project.org Top 50 URLs; "What is hyperlinked from this corpus?" ---------------------------------------------------- 8 http://doi.org/10.1101/2020.03.23.20041889 6 http://doi.org/10.1101/2020.04.22.20075440 4 http://doi.org/10.1101/2020.04 3 http://doi.org/10.1101/2020.05.02.20087270 2 http://doi.org/10.1101/2020.04.24.20078477 2 http://doi.org/10 1 http://www.worldclim.org/ 1 http://www.timesofisrael.com/iran-reports-its-first-2-cases-of-the-new-coronavirus/ 1 http://www.phylogeny.fr/simple_phylogeny.cgi 1 http://www.openstreetmap.org 1 http://www.nooresepid.com/en/ 1 http://www.middleeasteye.net/news/iran-press-review-coronavirus-nowruztravel-warning-ignore 1 http://www.chatrango.com/ 1 http://www 1 http://toloo.org/ 1 http://srsorg 1 http://simayesabz.org/?lang=en 1 http://salamat.gov.ir/ 1 http://nhi.org.ir/ 1 http://ird.behdasht.gov.ir/ 1 http://emri.tums.ac.ir/OsteoNet 1 http://emri.tums.ac.ir/ 1 http://doi.org/10.1101/2020.04.03.20052571 1 http://doi.org/10.1101/2020.03.27.20045849 1 http://doi.org/10.1016/j.drugpo.2020.102908 1 http://doi 1 http://data.worldbank.org 1 http://creativecommons.org/publicdomain/zero/1.0/ 1 http://creativecommons.org/licenses/by/4.0/ 1 http://creativecommons.org/licenses/by-nc-nd/4.0/ 1 http://cran.r-project.org/web/packages/caret/ Top 50 email addresses; "Who are you gonna call?" ------------------------------------------------- 1 s.bahrami@scu.ac.ir 1 kiani.behzad@gmail.com 1 info@vldb.org Top 50 positive assertions; "What sentences are in the shape of noun-verb-noun?" ------------------------------------------------------------------------------- 3 % were female 3 case report forms 3 cases using delay 3 study are available 2 % had anosmia 2 % were not 2 china following independent 2 countries is extensive 2 data are available 2 data were not 2 disease has rapidly 2 disease was more 2 epidemic has rapidly 2 hospitals are vital 2 model is acceptable 2 outbreak is urgently 2 outbreaks have also 2 patients reported symptoms 2 people do not 2 rate is high 2 studies have already 2 study assessed pharmaceutical 2 system is part 2 systems do not 1 % are not 1 % were unemployed 1 al assessed preparedness 1 al developed tools 1 analyses using fisher 1 analysis are co 1 analysis comparing countries 1 analysis included demographic 1 analysis is justifiable 1 analysis is representative 1 analysis was contrived 1 analysis was justifiable 1 case was massachusetts 1 cases are close 1 cases are less 1 cases are more 1 cases have mild 1 cases have symptoms 1 cases is arima 1 cases is less 1 cases was not 1 cases was proportional 1 cases were asymptomatic 1 cases were not 1 cases were relatively 1 china are fake Top 50 negative assertions; "What sentences are in the shape of noun-verb-no|not-noun?" --------------------------------------------------------------------------------------- 1 % are not even 1 countries have no meaningful 1 data being not normally 1 data were not accessible 1 death is not limited 1 health is not only 1 iran was not prepared 1 model is not sensitive 1 patients did not routinely 1 study did not specifically 1 systems are not applicable A rudimentary bibliography -------------------------- id = cord-313286-nqvuas3p author = Afshar Jahanshahi, A. title = The distress of Iranian adults during the Covid-19 pandemic - More distressed than the Chinese and with different predictors date = 2020-04-07 keywords = Iran; covid-19 summary = doi = 10.1101/2020.04.03.20052571 id = cord-318043-1x3dp1vv author = Ahmadi, Mohsen title = Investigation of effective climatology parameters on COVID-19 outbreak in Iran date = 2020-04-17 keywords = COVID-19; Iran summary = doi = 10.1016/j.scitotenv.2020.138705 id = cord-309762-p266f3el author = Ahmady, Soleiman title = Transition to Virtual Learning During the Coronavirus Disease–2019 Crisis in Iran: Opportunity Or Challenge? date = 2020-05-07 keywords = Iran summary = doi = 10.1017/dmp.2020.142 id = cord-336192-5uxq5xrs author = Alavi, Maryam title = Coordination, cooperation, and creativity within harm reduction networks in Iran: COVID-19 prevention and control among people who use drugs date = 2020-08-17 keywords = Group; Iran; PWUD; Working summary = doi = 10.1016/j.drugpo.2020.102908 id = cord-255560-c8s9f12f author = Arab-Mazar, Zahra title = Mapping the incidence of the COVID-19 hotspot in Iran – Implications for Travellers date = 2020-03-14 keywords = Iran summary = doi = 10.1016/j.tmaid.2020.101630 id = cord-320895-y6pzrbdi author = Arab-Zozani, Morteza title = COVID-19 in Iran: the Good, the Bad, and the Ugly Strategies for Preparedness – A Report From the Field date = 2020-09-27 keywords = COVID-19; Iran summary = doi = 10.1017/dmp.2020.261 id = cord-356117-ksfcc8x8 author = Asadi‐Pooya, Ali A. title = Impacts of the COVID‐19 pandemic on Iranian patients with epilepsy date = 2020-07-06 keywords = Iran summary = doi = 10.1111/ane.13310 id = cord-311495-svgw59ic author = Ayati, Nayyereh title = Short and long term impacts of COVID-19 on the pharmaceutical sector date = 2020-07-03 keywords = COVID-19; Iran; pharmaceutical summary = doi = 10.1007/s40199-020-00358-5 id = cord-005508-6zlqny9m author = Azadmanjir, Zahra title = The data set development for the National Spinal Cord Injury Registry of Iran (NSCIR-IR): progress toward improving the quality of care date = 2020-03-24 keywords = Cord; Iran; NSCIR summary = doi = 10.1038/s41394-020-0265-x id = cord-269679-dfma5kqc author = Badshah, Syed Lal title = Spread of Novel Coronavirus by Returning Pilgrims from Iran to Pakistan date = 2020-04-09 keywords = Iran summary = key: cord-269679-dfma5kqc authors: Badshah, Syed Lal; Ullah, Asad; Badshah, Syed Hilal; Ahmad, Irshad cord_uid: dfma5kqc Iran was initially reluctant to close its borders with its neighbors as religious tourism is a big part of its revenue generation and the international community has already imposed economic sanctions over it due to its nuclear program. 3 Every year approximately 0.7 million Shia sect Muslims from Pakistan visit for a pilgrimage to various shrines in the cities of Iran that include Qom, Tehran, Tabriz, and Mashhad. It has been estimated that there are over eight thousand sacred sites in Iran alone and every year around eight million foreigners visit these shrines ( Figure 1 ). The pilgrimage mostly includes visits to cities like Karbala, Najaf, Kufa, Samara, and Baghdad in Iraq and several places in Damascus in Syria. Estimation of Coronavirus Disease 2019 (COVID-19) Burden and Potential for International Dissemination of Infection From Iran COVID-19 battle during the toughest sanctions against Iran The authors declared no conflict of interest. doi = 10.1093/jtm/taaa044 id = cord-322796-ojfrvtuy author = Bagheri, S. H. R. title = Coincidence of COVID-19 epidemic and olfactory dysfunction outbreak date = 2020-03-27 keywords = Iran; covid-19 summary = doi = 10.1101/2020.03.23.20041889 id = cord-272828-13i2y9kc author = Bagheri, Seyed Hamidreza title = Coincidence of COVID-19 epidemic and olfactory dysfunction outbreak in Iran date = 2020-06-15 keywords = COVID-19; Iran summary = doi = 10.34171/mjiri.34.62 id = cord-005279-w69ao8ic author = Bahrami, Somayeh title = Prevalence of subclinical coccidiosis in river buffalo calves of southwest of Iran date = 2013-12-13 keywords = Eimeria; Iran summary = doi = 10.2478/s11686-013-0167-1 id = cord-315925-hnvf634e author = Bandarian, Fatemeh title = Endocrinology and Metabolism Research Institute from inception to maturity: an overview of 25-year activity date = 2020-10-03 keywords = EMRI; Iran; Research summary = doi = 10.1007/s40200-020-00645-7 id = cord-270614-4q7itegc author = Bisaillon, Laura title = Clever COVID-19, Clever Citizens-98: Critical and Creative Reflections from Tehran, Toronto, and Sydney date = 2020-08-25 keywords = COVID-19; Iran; Nowruz summary = We argue that reflexive comparative analysis bridging social and visual analysis, anchored in embodied conditions of such people, offers a way to learn from responses to COVID-19 while also being an exercise in ethical research practice. We argue that reflexive comparative analysis bridging social and visual analysis, anchored in embodied conditions of such people, offers a way to learn from responses to COVID-19 while also being an exercise in ethical research practice. Such rituals have been repeated for millennia, and there are local and regional variations in the way people in Iran and its bordering countries and their diasporas enact Nowruz and the haft seen. This is a new Fig. 1 Separate, but together: Changing haft seen and Nowruz practices to care for each other within conditions imposed by COVID-19 experience for us, who have shared a roof for more than a decade. doi = 10.1007/s11673-020-10032-9 id = cord-339235-8xslz4bs author = Boroomand, Zahra title = Molecular detection and phylogenetic properties of isolated infectious bronchitis viruses from broilers in Ahvaz, southwest Iran, based on partial sequences of spike gene date = 2018-09-15 keywords = IBV; Iran summary = doi = 10.30466/vrf.2018.32089 id = cord-265682-yac7kzaf author = Eden, John-Sebastian title = An emergent clade of SARS-CoV-2 linked to returned travellers from Iran date = 2020-04-10 keywords = Iran; New; SARS summary = doi = 10.1093/ve/veaa027 id = cord-331701-izkz1hz4 author = Eden, John-Sebastian title = An emergent clade of SARS-CoV-2 linked to returned travellers from Iran date = 2020-03-17 keywords = Iran; SARS summary = doi = 10.1101/2020.03.15.992818 id = cord-103711-tnw82hbm author = Einian, Majid title = Modeling of COVID-19 Pandemic and Scenarios for Containment date = 2020-03-30 keywords = Iran; case summary = doi = 10.1101/2020.03.27.20045849 id = cord-004110-xc8vv9x8 author = Eslahi, Aida Vafae title = Prevalence of Toxocara and Toxascaris infection among human and animals in Iran with meta-analysis approach date = 2020-01-07 keywords = Iran; Toxascaris; Toxocara; prevalence summary = doi = 10.1186/s12879-020-4759-8 id = cord-257099-8k28vkgf author = Fan, Jingchun title = The epidemiology of reverse transmission of COVID-19 in Gansu Province, China date = 2020-05-12 keywords = COVID-19; Iran summary = doi = 10.1016/j.tmaid.2020.101741 id = cord-283133-jspfwuqu author = Farangi, Mostafa title = The environmental and economic analysis of grid-connected photovoltaic power systems with silicon solar panels, in accord with the new energy policy in Iran date = 2020-07-01 keywords = Iran; energy; power summary = doi = 10.1016/j.energy.2020.117771 id = cord-351941-fgtatt40 author = Ghaffarzadegan, Navid title = Simulation‐based estimation of the early spread of COVID‐19 in Iran: actual versus confirmed cases date = 2020-07-06 keywords = Iran; March; case; covid-19; death summary = Estimates using data up to March 20th, 2020, point to 916,000 (90% UI: 508 K, 1.5 M) cumulative cases and 15,485 (90% UI: 8.4 K, 25.8 K) total deaths, numbers an order of magnitude higher than official statistics. The current paper focuses on using a standard dynamic epidemiological model as a tool for incorporating various sources of data into a unified estimation of the actual trajectory of disease, applying the method to COVID-19 outbreak in Iran. We also use unofficial data points including four observations about the number of Iranian passengers diagnosed with COVID-19 upon arrival in international airports, and three estimates aggregated by healthcare providers in Iran and reported by BBC and Iran International news agencies about total cases of death from COVID-19. We define a likelihood function for change over time (net-inflow) of official reports on cumulative death, recovered and infection assuming they are count events drawn from model-predicted rates (Poisson distribution). doi = 10.1002/sdr.1655 id = cord-276583-j8bf0eme author = Ghalyanchi Langeroudi, Arash title = Full-length characterization and phylogenetic analysis of hemagglutinin gene of H9N2 virus isolated from broilers in Iran during 1998–2007 date = 2012-01-21 keywords = H9N2; Iran; virus summary = doi = 10.1007/s00580-012-1405-x id = cord-306925-yt5cscf1 author = Haji-Abdolvahab, Habibbolah title = Prevalence of avian influenza, Newcastle disease, and infectious bronchitis viruses in broiler flocks infected with multifactorial respiratory diseases in Iran, 2015–2016 date = 2018-10-30 keywords = H9N2; Iran; Newcastle summary = doi = 10.1007/s11250-018-1743-z id = cord-032716-i6hfj8ca author = Hufbauer, Gary Clyde title = What's new in economic sanctions? date = 2020-09-25 keywords = China; Iran; Russia; States; Trump; United; sanction summary = doi = 10.1016/j.euroecorev.2020.103572 id = cord-353976-gns5omyb author = Kafieh, Rahele title = COVID-19 in Iran: A Deeper Look Into The Future date = 2020-04-27 keywords = April; COVID-19; Iran summary = doi = 10.1101/2020.04.24.20078477 id = cord-328930-5a0z1ryz author = Karatayev, Marat title = Establishing and comparing energy security trends in resource-rich exporting nations (Russia and the Caspian Sea region) date = 2020-10-31 keywords = Caspian; Iran; Kazakhstan; Russia summary = doi = 10.1016/j.resourpol.2020.101746 id = cord-263518-6puccigu author = Maarefvand, Masoomeh title = Coronavirus Outbreak and Stress in Iranians date = 2020-06-20 keywords = COVID-19; China; Iran; stress summary = doi = 10.3390/ijerph17124441 id = cord-248932-i1v2lyd2 author = Madraki, Golshan title = Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms date = 2020-10-13 keywords = China; Iran; USA; chinese; misinformation summary = doi = nan id = cord-340132-t77pab71 author = Mohammadzadeh, Nima title = Iran’s success in controlling the COVID-19 pandemic date = 2020-04-23 keywords = Iran summary = doi = 10.1017/ice.2020.169 id = cord-269818-ko14wjf7 author = Omidi, Mona title = Lessons to be learned from the prevalence of COVID-19 in Iran date = 2020-05-28 keywords = Iran summary = doi = 10.34171/mjiri.34.54 id = cord-348111-fkjmzpuw author = Pishgar, Elahe title = A spatio-temporal geodatabase of mortalities due to respiratory tract diseases in Tehran, Iran between 2008 and 2018: a data note date = 2020-10-07 keywords = Iran; Tehran summary = title: A spatio-temporal geodatabase of mortalities due to respiratory tract diseases in Tehran, Iran between 2008 and 2018: a data note Mortality rates due to respiratory tract diseases (MRRTDs) follow a spatial pattern and this may suggest a potential link between environmental risk factors and MRRTDs. Spatial analysis of RTDs mortality data in an urban setting can provide new knowledge on spatial variation of potential risk factors for RTDs. This will enable health professionals and urban planners to design tailored interventions. Spatio-temporal analyses of mortality data can provide new knowledge on spatial variation of MRRTDs and potential Open Access BMC Research Notes *Correspondence: kiani.behzad@gmail.com drivers of this variation. Data on 43,176 death events due to RTDs from September 2008 to September 2018 were obtained from the Behesht-e Zahra Organization, a local health department under the supervision of the Tehran Municipality [15] . Data for: mortality due to respiratory tract diseases in Tehran Iran between doi = 10.1186/s13104-020-05319-4 id = cord-303331-xolksoy3 author = Pourghasemi, Hamid Reza title = Assessment of the outbreak risk, mapping and infection behavior of COVID-19: Application of the autoregressive integrated-moving average (ARIMA) and polynomial models date = 2020-07-28 keywords = Fars; Iran; SVM; covid-19 summary = doi = 10.1371/journal.pone.0236238 id = cord-342517-bzmhjvr5 author = Rassouli, Maryam title = COVID-19 Management in Iran as One of the Most Affected Countries in the World: Advantages and Weaknesses date = 2020-09-15 keywords = COVID-19; Iran summary = doi = 10.3389/fpubh.2020.00510 id = cord-004041-2b2h1xog author = Rezaei, Fatemeh title = Preparedness of community-based organisations in biohazard: reliability and validity of an assessment tool date = 2019-06-27 keywords = CFA; Iran; health summary = doi = 10.1136/fmch-2019-000124 id = cord-301720-majpfxqn author = Saadat, Yousef title = Molecular characterization of infectious bronchitis viruses isolated from broiler flocks in Bushehr province, Iran: 2014 - 2015 date = 2017-09-15 keywords = IBV; Iran; PCR summary = doi = nan id = cord-347353-ll2pnl81 author = Saberi, M. title = Accounting for underreporting in mathematical modelling of transmission and control of COVID-19 in Iran date = 2020-05-06 keywords = CFR; Iran; case summary = doi = 10.1101/2020.05.02.20087270 id = cord-337000-k1qq4qgg author = Sahafizadeh, Ebrahim title = Epidemic curve and reproduction number of COVID-19 in Iran date = 2020-05-18 keywords = Iran summary = doi = 10.1093/jtm/taaa077 id = cord-313904-745u0si8 author = Salimi, Rasoul title = The COVID-19 outbreak in Iran date = 2020-06-11 keywords = Iran summary = doi = 10.7189/jogh.10.010365 id = cord-294690-fpjhkb4g author = Sharifi, Hamid title = Estimating the number of COVID-19-related infections, deaths and hospitalizations in Iran under different physical distancing and isolation scenarios: A compartmental mathematical modeling date = 2020-04-25 keywords = April; Iran summary = doi = 10.1101/2020.04.22.20075440 id = cord-271679-94h6rcih author = Sharififar, Simintaj title = Factors affecting hospital response in biological disasters: A qualitative study date = 2020-03-16 keywords = Health; Iran; biological; disaster; hospital; participant summary = doi = 10.34171/mjiri.34.21 id = cord-312784-ykko0al5 author = Takian, Amirhossein title = COVID-19 battle during the toughest sanctions against Iran date = 2020-03-18 keywords = Iran; covid-19 summary = doi = 10.1016/s0140-6736(20)30668-1