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?' ---------------------------------------------------------- 25 Average length of all items measured in words; "More or less, how big is each item?" ------------------------------------------------------------------------------------ 5732 Average readability score of all items (0 = difficult; 100 = easy) ------------------------------------------------------------------ 5 Top 50 statistically significant keywords; "What is my collection about?" ------------------------------------------------------------------------- 25 Nigeria 10 COVID-19 5 covid-19 2 September 2 Delta 2 Africa 1 transport 1 symptom 1 state 1 specie 1 scan 1 psychological 1 practice 1 piracy 1 pandemic 1 oil 1 mobility 1 internet 1 family 1 ecp 1 dental 1 SARS 1 PPE 1 Niger 1 Navy 1 Industries 1 Gulf 1 Guinea 1 Fig 1 Federal 1 February 1 Extractive 1 EVD 1 EITI 1 Cyclopidae 1 Copepoda 1 COI Top 50 lemmatized nouns; "What is discussed?" --------------------------------------------- 600 % 480 study 411 case 238 country 231 datum 211 disease 203 oil 195 pandemic 190 health 186 state 179 model 162 population 161 respondent 155 infection 147 analysis 140 patient 139 outbreak 134 practice 132 risk 130 time 125 lockdown 121 symptom 120 measure 119 region 116 piracy 116 people 115 use 114 author 113 mobility 112 number 110 spread 110 information 108 year 108 preprint 108 level 102 knowledge 99 specie 99 coronavirus 98 virus 97 period 97 epidemic 96 impact 96 community 94 trend 94 response 92 contact 90 result 89 perception 89 family 88 spill Top 50 proper nouns; "What are the names of persons or places?" -------------------------------------------------------------- 727 Nigeria 419 COVID-19 134 al 114 Africa 106 et 102 . 94 Niger 83 Delta 82 Health 82 China 81 State 72 SARS 72 Lagos 59 NM 57 EVD 55 Nigerian 51 September 51 Disease 50 CoV-2 49 Coronavirus 48 Federal 46 Wuhan 46 South 45 World 44 NCDC 43 March 42 Guinea 42 Fig 40 States 39 Gulf 38 February 38 Control 36 Government 35 EITI 33 Ebola 32 medRxiv 32 National 32 Centre 31 Nigerians 31 CC 30 West 30 April 28 International 28 Cyclopidae 27 Table 27 ARIMA 26 North 25 Navy 25 January 25 CI Top 50 personal pronouns nouns; "To whom are things referred?" ------------------------------------------------------------- 290 it 197 we 152 they 54 i 52 them 15 you 12 themselves 8 us 6 he 4 itself 3 one 2 yourself 2 she 2 me 2 https://doi.org/10.1101/2020.05.05.20091686 2 himself 1 s 1 covid-19 Top 50 lemmatized verbs; "What do things do?" --------------------------------------------- 2930 be 729 have 266 use 174 report 157 show 125 confirm 122 include 109 do 104 base 102 provide 88 make 79 record 75 identify 73 present 72 follow 69 find 67 increase 65 associate 62 give 61 see 61 develop 60 take 60 indicate 60 assess 56 reveal 55 obtain 55 display 53 affect 52 compare 50 post 50 grant 50 consider 45 remain 45 covid-19 43 require 43 infect 42 regard 42 know 42 conduct 41 reduce 41 certify 40 establish 39 examine 39 estimate 38 lead 37 observe 37 declare 36 spread 36 relate 36 isolate Top 50 lemmatized adjectives and adverbs; "How are things described?" --------------------------------------------------------------------- 281 not 191 covid-19 190 also 182 more 163 - 158 high 141 other 137 most 130 such 114 social 114 first 112 clinical 111 significant 108 psychological 100 however 95 nigerian 93 global 91 well 83 low 82 international 81 only 78 available 76 public 74 economic 71 dental 70 new 68 many 67 severe 65 different 62 thus 60 infectious 55 human 55 as 54 local 52 out 52 non 52 further 49 current 49 common 48 online 48 good 46 national 46 likely 45 large 45 african 44 less 41 novel 41 early 40 therefore 40 similar Top 50 lemmatized superlative adjectives; "How are things described to the extreme?" ------------------------------------------------------------------------- 51 most 20 good 18 high 17 Most 15 large 12 least 10 low 7 bad 4 great 2 near 1 old 1 late 1 early 1 deadly 1 cord-010149-zupx8qn1 1 close 1 busy 1 bare 1 -9.6 Top 50 lemmatized superlative adverbs; "How do things do to the extreme?" ------------------------------------------------------------------------ 86 most 8 least 5 well 2 hard Top 50 Internet domains; "What Webbed places are alluded to in this corpus?" ---------------------------------------------------------------------------- 40 doi.org 2 dx.doi.org 2 covid19.ncdc.gov.ng 1 www.worldbank.org 1 www.wilsoncenter.org 1 www.shell.com.ng 1 www.mdpi.com 1 www.geneious.com 1 www.epicov.org 1 www.ebi.ac.uk 1 www.dw.com 1 tiny.cc 1 species.h-its.org 1 oilspillmonitor.ng 1 nosdra.gov.ng 1 github.com Top 50 URLs; "What is hyperlinked from this corpus?" ---------------------------------------------------- 17 http://doi.org/10.1101/2020.09.01.20186288 9 http://doi.org/10.1101/2020.09.15.20195412 8 http://doi.org/10.1101/2020.09.09.20188482 2 http://doi.org/10.1101/2020.05.05.20091686 2 http://doi.org/10.1101 2 http://covid19.ncdc.gov.ng/ 1 http://www.worldbank.org/en/programs/gasflaringreduction] 1 http://www.wilsoncenter.org/sites/default/files/AFR_110929_Niger%20Delta_0113.pdf 1 http://www.shell.com.ng/sustainability/environment/oil-spills.html 1 http://www.mdpi.com/1660-4601/17/14/5141/s1 1 http://www.geneious.com/ 1 http://www.epicov.org 1 http://www.ebi.ac.uk/Tools/services/rest/muscle 1 http://www.dw.com/en/gas-flaring-continues-scorching-niger-delta/a-46088235 1 http://tiny.cc/nigeria_covid19 1 http://species.h-its.org/ptp/ 1 http://oilspillmonitor.ng/ 1 http://nosdra.gov.ng/forms.php 1 http://github.com/kbmajeed/nigeria_covid19 1 http://dx.doi.org/10.7717/ 1 http://dx.doi.org/10.17632/3xsb9nyfhp.1 1 http://doi.org/10.1101/2020.09 1 http://doi.org/10 Top 50 email addresses; "Who are you gonna call?" ------------------------------------------------- Top 50 positive assertions; "What sentences are in the shape of noun-verb-noun?" ------------------------------------------------------------------------------- 6 % had moderate 5 respondents presented severe 3 % did not 3 % reported mild 3 % reported partial 3 % were willing 3 outbreak using lessons 3 risks is not 2 % had clinical 2 % had moderately 2 % had severe 2 % presented clinical 2 % were undecided 2 cases were asymptomatic 2 lockdown is over 2 nigeria is not 2 respondents had moderate 2 respondents were hunger 2 study did not 2 symptoms are fever 2 symptoms were fever 1 % are muslims 1 % had mild 1 % had postgraduate 1 % reported incomplete 1 % reported moderate 1 % reported subthreshold 1 % was not 1 % were aged 1 % were female 1 % were healthcare 1 % were indifferent 1 % were male 1 % were married 1 % were not 1 analyses include prevalence 1 analyses indicating pathogen 1 analysis is noteworthy 1 analysis reveals population 1 analysis was knowledge 1 analysis was therefore 1 case are bewildering 1 case finding protocols 1 case identified about 1 case is africa 1 case was first 1 cases are potentially 1 cases are still 1 cases have inconsistent 1 cases include de Top 50 negative assertions; "What sentences are in the shape of noun-verb-no|not-noun?" --------------------------------------------------------------------------------------- 3 risks is not unique 1 % had no formal 1 % were not fully 1 country displayed no statistically 1 country showed no discernible 1 nigeria have not yet 1 nigeria is not far 1 region has no monopoly 1 respondents presented no pts 1 studies are not free 1 study found no substantial 1 study recorded no significant A rudimentary bibliography -------------------------- id = cord-291724-bwiyp73e author = Abdulmajeed, Kabir title = ONLINE FORECASTING OF COVID-19 CASES IN NIGERIA USING LIMITED DATA date = 2020-05-08 keywords = Nigeria; covid-19 summary = doi = 10.1016/j.dib.2020.105683 id = cord-300439-d86p43u1 author = Bello, Ajide Kazeem title = Estimating the impacts of lockdown on Covid-19 cases in Nigeria date = 2020-09-06 keywords = Nigeria; covid-19 summary = doi = 10.1016/j.trip.2020.100217 id = cord-279264-0bhgq3q9 author = Bolarinwa, O. A. title = Adherence to COVID-19 pandemic prescribed recommendations, source of information and lockdown psychological impact of Nigeria social media users date = 2020-09-10 keywords = COVID-19; Nigeria; September summary = doi = 10.1101/2020.09.09.20188482 id = cord-013286-5lxy8qrq author = Bolarinwa, Obasanjo A. title = Factors associated with low contraceptive use amongst vulnerable mothers in South West State, Nigeria date = 2020-09-18 keywords = Nigeria; family summary = doi = 10.4102/phcfm.v12i1.2552 id = cord-350823-6pmvftgk author = Chirove, F. title = A model assessing potential benefits of isolation and mass testing on COVID-19: the case of Nigeria date = 2020-09-03 keywords = COVID-19; Nigeria; September summary = doi = 10.1101/2020.09.01.20186288 id = cord-258965-g47n531n author = Ekpenyong, Bernadine title = Assessment of Knowledge, Practice and Guidelines towards the Novel COVID-19 among Eye Care Practitioners in Nigeria–A Survey-Based Study date = 2020-07-16 keywords = COVID-19; Nigeria; PPE; ecp summary = doi = 10.3390/ijerph17145141 id = cord-289907-wzctqkd7 author = Elimian, K. O. title = Descriptive epidemiology of coronavirus disease 2019 in Nigeria, 27 February–6 June 2020 date = 2020-09-11 keywords = Nigeria; covid-19 summary = A descriptive analysis of the clinical characteristics, treatment modalities and outcomes of the first 32 COVID-19 patients admitted to Mainland Hospital in Lagos State, Nigeria, found that two-thirds of patients were male, and the mean age was 38.1 years [7] . Through NCDC''s surveillance and laboratory network as well as coordination of state PHEOCs, epidemiological information on COVID-19 cases are captured into a real-time networked platform called Surveillance Outbreak Response Management and Analysis System (SORMAS). During the study period, 36 states plus FCT had reported confirmed COVID-19 cases; all states were actively monitoring for cases through the Integrated Disease Surveillance and Response system (IDSR) system [9] . Laboratory diagnosis of COVID-19 was done by Residential setting c Residential setting of each person tested for COVID-19 was based on the population size and administrative/ legal criteria for the reporting Local Government Areas (LGA) as recorded by field staff, in line with common classification of urban and rural classification in Nigeria [12] . doi = 10.1017/s095026882000206x id = cord-283579-aejbfk3l author = Hilda, Awoyelu Elukunbi title = Phyloevolutionary analysis of SARS-CoV-2 in Nigeria date = 2020-06-14 keywords = Nigeria; SARS summary = doi = 10.1016/j.nmni.2020.100717 id = cord-355173-rnley2ow author = Ibrahim, R. R. title = Forecasting the spread of COVID-19 in Nigeria using Box-Jenkins Modeling Procedure date = 2020-05-08 keywords = COVID-19; February; Nigeria summary = doi = 10.1101/2020.05.05.20091686 id = cord-287640-9j0w7191 author = Ilesanmi, Olayinka title = Perception and practices during the COVID-19 pandemic in an urban community in Nigeria: a cross-sectional study date = 2020-09-23 keywords = COVID-19; Nigeria; practice summary = title: Perception and practices during the COVID-19 pandemic in an urban community in Nigeria: a cross-sectional study In this study, we assessed the perception and practices regarding COVID-19 among residents in selected urban communities of Ibadan, Oyo State, Nigeria. METHODS: A descriptive cross-sectional study design using a multi-stage sampling technique was used to recruit 360 respondents (Mean age: 33.2 ± 10.6 years; 62.5% females) from households in Ibadan. An assessment of the perception and practices of community members is important to reduce the risk for COVID-19 infection in Ibadan, a densely populated city in Nigeria. This study thus aimed at assessing the perception and practices of community members in urban areas in Ibadan regarding COVID-19. Findings from previous studies conducted in Nigeria also corroborate the key role of positive risk perception on imbibing COVID-19 protective practices and attitudes . As this study was limited to the perception and practices regarding COVID-19, the knowledge of community members on the illness was not addressed. doi = 10.7717/peerj.10038 id = cord-273778-68wxa782 author = Lawal, Olanrewaju title = Movement and risk perception: evidence from spatial analysis of mobile phone-based mobility during the COVID-19 lockdown, Nigeria date = 2020-11-02 keywords = COVID-19; Fig; Nigeria; mobility; state summary = The emergence of COVID-19 across the globe prompted many countries to institute total lockdown or other models of mobility restrictions to mitigate the spread of the disease. Examination of the weekly aggregated mobility for the retail and recreation category showed that 7 states exhibited no statistically significant trend (Fig. 4a) . Yobe and Gombe States recorded a declining trend for mobility in the Grocery and Pharmacy place category (Fig. 4c) . The remaining States spread across different parts of the country-mostly in the southern part displayed a statistically significant upward trend of mobility for this place categories. The multiple correspondence analysis identified two dimensions within the mobility trend designation recorded for each State for the six place categories ( Table 1 ). As mobility started an uptrend even during the lockdown period, there is an indication that generally, peoples'' perception of the disease is to consider the pandemic as a voluntary risk. doi = 10.1007/s10708-020-10331-z id = cord-343440-g4193sis author = Meseko, Clement title = The bush meat trade thrives in Nigeria despite anxiety over coronavirus date = 2020-07-30 keywords = Nigeria summary = doi = 10.1093/trstmh/traa060 id = cord-269476-lrk4ty99 author = Mohammed, Abdulaziz title = An evaluation of psychological distress and social support of survivors and contacts of Ebola virus disease infection and their relatives in Lagos, Nigeria: a cross sectional study − 2014 date = 2015-08-27 keywords = EVD; Nigeria; psychological summary = doi = 10.1186/s12889-015-2167-6 id = cord-010149-zupx8qn1 author = Ni, Yijun title = Phylogeography and genetic diversity of the copepod family Cyclopidae (Crustacea: Cyclopoida) from freshwater ecosystems of Southeast Nigeria date = 2020-04-21 keywords = COI; Copepoda; Cyclopidae; Nigeria; specie summary = doi = 10.1186/s12862-020-01608-5 id = cord-031151-7wln54vr author = Nwalozie, Chijioke J title = Exploring Contemporary Sea Piracy in Nigeria, the Niger Delta and the Gulf of Guinea date = 2020-08-31 keywords = Delta; Federal; Guinea; Gulf; Navy; Nigeria; piracy summary = Furthermore, piracy attacks in Nigerian waters and the Gulf of Guinea, including those on energy vessels, involve cases of armed robbery at sea, with pirates boarding and robbing the ship while in port or from small speedboats or rubber zodiacs while the vessel is underway (Nincic 2009; ASI Global 2010; Essien 2015) . Piratical attacks in the Gulf of Guinea is a severe risk that impedes economic progress in the region, especially Nigeria''s shipping industry, thereby deterring prospective investors (Nightingale 2019 ) the opportunity to do business. Since what affects Nigeria affects the Gulf of Guinea; governments in the region, and especially Nigeria must be up to speed in ensuring against the threat to economic activities as a result of maritime piracy, hence the need for high-level security operatives that patrol the waters. doi = 10.1007/s12198-020-00218-y id = cord-020199-rm0c2vu9 author = Odusanya, Kayode title = Exploring the Determinants of Internet Usage in Nigeria: A Micro-spatial Approach date = 2020-03-10 keywords = Africa; Nigeria; internet summary = doi = 10.1007/978-3-030-45002-1_26 id = cord-328321-7e37hhia author = Olapoju, Olabisi Michael title = Estimating transportation role in pandemic diffusion in Nigeria: A consideration of 1918-19 influenza and COVID-19 pandemics date = 2020-07-28 keywords = COVID-19; Nigeria; transport summary = doi = 10.7189/jogh.10.020501 id = cord-304838-r9w8milu author = Olaseni, Abayomi O. title = Psychological distress experiences of Nigerians during Covid-19 pandemic; the gender difference date = 2020-12-31 keywords = Nigeria; covid-19; pandemic; symptom summary = doi = 10.1016/j.ssaho.2020.100052 id = cord-331075-27ndnqzv author = Oleribe, Obinna O title = COVID-19 Experience: Taking the Right Steps at the Right Time to Prevent Avoidable Morbidity and Mortality in Nigeria and Other Nations of the World date = 2020-08-04 keywords = COVID-19; Nigeria summary = doi = 10.2147/ijgm.s261256 id = cord-293160-v28rnvpg author = Orunmuyi, Akintunde T title = Underutilisation of nuclear medicine scans at a regional hospital in Nigeria: need for implementation research date = 2020-08-28 keywords = Africa; Nigeria; scan summary = title: Underutilisation of nuclear medicine scans at a regional hospital in Nigeria: need for implementation research To understand the relevant public health initiatives that will be required, this study assessed the pattern of nuclear medicine imaging services at the first nuclear medicine centre in Nigeria from January 2010 to December 2018. METHODS: The data of consecutive nuclear medicine (NM) scans performed between 1st January 2010 and 31st December 2018 at the NM department in a tertiary hospital in Nigeria were extracted from patient records and analysed using SAS version 9.4 (SAS Institute, Cary, NC). The medical records of consecutive patients who underwent NM scans at the Department of Nuclear Medicine at the University College Hospital, Ibadan, between January 2010 and December 2018 were retrospectively reviewed. Furthermore, the studies to explore other unknown factors that play a role in the low throughput of NM services in Nigeria and other Sub-Saharan African countries are warranted. doi = 10.3332/ecancer.2020.1093 id = cord-268937-j2ov5nes author = Otuonye, N. M. title = CLINICAL AND DEMOGRAPHIC CHARACTERISTICS OF COVID-19 PATIENTS IN LAGOS, NIGERIA: A DESCRIPTIVE STUDY date = 2020-09-24 keywords = Nigeria; covid-19 summary = doi = 10.1101/2020.09.15.20195412 id = cord-338481-jox35yg1 author = Tijjani, Salman Jidda title = Is Nigeria prepared and ready to respond to the COVID-19 pandemic in its conflict-affected northeastern states? date = 2020-05-27 keywords = COVID-19; Nigeria summary = doi = 10.1186/s12939-020-01192-6 id = cord-295720-eeqv5xa4 author = Umeizudike, Kehinde Adesola title = Nigerian undergraduate dental students’ knowledge, perception, and attitude to COVID‐19 and infection control practices date = 2020-09-21 keywords = COVID-19; Nigeria; dental summary = doi = 10.1002/jdd.12423 id = cord-280393-z9mttvep author = Watts, Professor Michael title = Consistently Unreliable: Oil Spill Data and Transparency Discourse date = 2020-04-27 keywords = Delta; Niger; Nigeria; oil summary = the Nigerian Oil Spill Data Response Agency (NOSDRA, established in 2006) , key international oil companies operating in the Niger Delta -Shell Petroleum Development Company (SPDC) and Nigeria Agip Oil Company (NAOC), statistics published via the Nigerian National Petroleum Corporation (NNPC) and the Department of Petroleum Resources (DPR), as well data included in reports prepared by civil society organizations and foundations. NNPC pipeline loss data (for the five regions of the country) documents over 35,000 incidents since 2005 which amount to a quantity of oil lost almost 40 times larger than the total spill volume for the Niger delta on its oil monitoring site! It is notable that NOSDRA''s own data indicates that the largest individual spills in the central Niger Deltan state of Bayelsa are caused not by sabotage, but by operational failure, maintenance error or pipeline corrosion. doi = 10.1016/j.exis.2020.04.009 id = cord-326686-0m8m7nk0 author = Zalik, Dr. Anna title = Beyond transparency: A consideration of extraction's full costs date = 2020-07-28 keywords = EITI; Extractive; Industries; Nigeria summary = doi = 10.1016/j.exis.2020.07.015