This is a table of type proper and their frequencies. Use it to search & browse the list to learn more about your study carrel.
| proper | frequency |
|---|---|
| 930 | |
| COVID-19 | 298 |
| Trends | 210 |
| Fig | 123 |
| CMA | 114 |
| March | 98 |
| Search | 92 |
| 89 | |
| YouTube | 88 |
| United | 78 |
| States | 69 |
| ORVal | 69 |
| Health | 67 |
| 61 | |
| RSV | 54 |
| UK | 52 |
| India | 52 |
| GAEN | 50 |
| SARS | 48 |
| China | 48 |
| England | 44 |
| April | 44 |
| AI | 43 |
| Spain | 40 |
| Flu | 39 |
| January | 39 |
| US | 39 |
| February | 38 |
| Disease | 37 |
| GT | 35 |
| API | 35 |
| Social | 33 |
| May | 33 |
| June | 33 |
| Data | 29 |
| Coronavirus | 29 |
| DEP | 29 |
| LIWC | 29 |
| USA | 29 |
| Slides | 28 |
| ANX | 28 |
| Spearman | 27 |
| CI | 26 |
| U.S. | 25 |
| Table | 25 |
| Ebola | 25 |
| BI | 25 |
| A | 23 |
| Australia | 23 |
| HIV | 23 |
| WHO | 23 |
| Measles | 22 |
| LSOA | 22 |
| CDC | 22 |
| sha | 21 |
| World | 21 |
| Italy | 21 |
| CoV-2 | 21 |
| Apple | 20 |
| Analysis | 20 |
| Control | 20 |
| GAD-7 | 20 |
| Study | 19 |
| DOI | 19 |
| series | 18 |
| nonsmell | 18 |
| mid | 18 |
| b. | 18 |
| Street | 18 |
| PHQ-9 | 18 |
| Looker | 18 |
| July | 18 |
| Classroom | 18 |
| Brazil | 17 |
| H1N1 | 17 |
| Zika | 16 |
| J | 16 |
| Infodemiology | 16 |
| GPHIN | 16 |
| France | 16 |
| Exposure | 16 |
| Amazon | 16 |
| Prevention | 16 |
| Global | 15 |
| BigQuery | 15 |
| Bluetooth | 15 |
| Digital | 15 |
| Figure | 15 |
| South | 15 |
| Mental | 15 |
| Public | 15 |
| c. | 15 |
| • | 15 |
| Bing | 14 |
| C | 14 |
| Korea | 14 |
| BCBAs | 14 |
| Forms | 14 |
| National | 14 |
| News | 14 |
| Research | 14 |
| TM | 14 |
| View | 14 |
| Organization | 13 |
| Covid-19 | 13 |
| Mobility | 13 |
| New | 13 |
| HealthMap | 13 |
| Pandemic | 13 |
| Review | 13 |
| Wuhan | 13 |
| t2 | 13 |
| 12 | |
| ageusia | 12 |
| Werther | 12 |
| SVM | 12 |
| ASV | 12 |
| Germany | 11 |
| Activities | 11 |
| Anxiety | 11 |
| COVID | 11 |
| Center | 11 |
| December | 11 |
| Suicide | 11 |
| University | 11 |
| West | 11 |
| greenspace | 11 |
| Kawasaki | 11 |
| Head | 10 |
| Lancet | 10 |
| Association | 10 |
| August | 10 |
| Eq | 10 |
| European | 10 |
| Media | 10 |
| Personal | 10 |
| Surveillance | 10 |
| Wikipedia | 10 |
| antiphospholipid | 10 |
| nan | 10 |
| Creative | 9 |
| Drive | 9 |
| Daily | 9 |
| ES | 9 |
| Commons | 9 |
| Centers | 9 |
| Online | 9 |
| Singh | 9 |
| LE | 9 |
| infoveillance | 9 |
| York | 9 |
| Psychiatry | 9 |
| SSR | 9 |
| 9 | |
| Adding | 8 |
| Africa | 8 |
| Altmetrics | 8 |
| Madrid | 8 |
| Class | 8 |
| College | 8 |
| Community | 8 |
| Depression | 8 |
| Friday | 8 |
| GPS | 8 |
| LR | 8 |
| Bonferroni | 8 |
| Late | 8 |
| Neck | 8 |
| Rubella | 8 |
| Use | 8 |
| Time | 8 |
| Network | 8 |
| Survey | 8 |
| T | 8 |
| R | 8 |
| Platforms | 8 |
| Pixel | 8 |
| Notification | 8 |
| Night | 8 |
| East | 7 |
| Intelligence | 7 |
| Influenza | 7 |
| IBM | 7 |
| Hydroxychloroquine | 7 |
| Hopkins | 7 |
| English | 7 |
| Japan | 7 |
| Department | 7 |
| Care | 7 |
| Canada | 7 |
| Behavior | 7 |
| B | 7 |
| Austria | 7 |
| International | 7 |
| Systems | 7 |
| Kingdom | 7 |
| Nile | 7 |
| Learning | 7 |
| Text | 7 |
| TEK | 7 |
| Step | 7 |
| Sjögren | 7 |
| PCR | 7 |
| Times | 7 |
| NLP | 7 |
| N | 7 |
| Model | 7 |
| Mobile | 7 |
| Microsoft | 7 |
| MedISys | 7 |
| Dimensions | 6 |
| MERS | 6 |
| John | 6 |
| J. | 6 |
| Intervals | 6 |
| Furman | 6 |
| Film | 6 |
| Event | 6 |
| Europe | 6 |
| Dublin | 6 |
| Argus | 6 |
| Dengue | 6 |
| COV-2 | 6 |
| Boxes | 6 |
| Big | 6 |
| Bdigital | 6 |
| BCBA | 6 |
| Artificial | 6 |
| Neighborhood | 6 |
| Android | 6 |
| 5-August | 6 |
| Medical | 6 |
| Ginsberg | 6 |
| Otolaryngol | 6 |
| Short | 6 |
| time | 6 |
| Otolaryngology | 6 |
| d. | 6 |
| Zhang | 6 |
| Y | 6 |
| Words | 6 |
| Web | 6 |
| Trend | 6 |
| Sushant | 6 |
| Statistical | 6 |
| Wide | 6 |
| Shapes | 6 |
| S. | 6 |
| Rochester | 6 |
| Reports | 6 |
| Rajput | 6 |
| Protective | 6 |
| Poisson | 6 |
| Sect | 6 |
| Papageno | 6 |
| Panel | 6 |
| MENE | 5 |
| Institute | 5 |
| Internet | 5 |
| JMIR | 5 |
| Liu | 5 |
| London | 5 |
| Menon | 5 |
| ML | 5 |
| Mart | 5 |
| Middle | 5 |
| Nature | 5 |
| Information | 5 |
| Inquiry | 5 |
| Analytics | 5 |
| Government | 5 |
| Evaluation | 5 |
| Environment | 5 |
| Disorders | 5 |
| DT | 5 |
| City | 5 |
| Cancer | 5 |
| Board | 5 |
| BioCaster | 5 |
| Attributes | 5 |
| Advertising | 5 |
| ANCA | 5 |
| Novel | 5 |
| Niederkrotenthaler | 5 |
| Python | 5 |
| Observational | 5 |
| Systematic | 5 |
| P | 5 |
| ̃ | 5 |
| doc_id | 5 |
| a1111111111 | 5 |
| White | 5 |
| Watson | 5 |
| Wang | 5 |
| Walker | 5 |
| Wal | 5 |
| Transport | 5 |
| Technology | 5 |
| TX | 5 |
| https | 5 |
| System | 5 |
| S&P | 5 |
| Switzerland | 5 |
| PubMed | 5 |
| Republic | 5 |
| Route | 5 |
| Practice | 5 |
| SEI | 5 |
| Science | 5 |
| Surg | 5 |
| PCI | 5 |
| Sundays | 5 |
| Smith | 5 |
| Cukier | 4 |
| GJM | 4 |
| Day | 4 |
| Development | 4 |
| Dis | 4 |
| DoH | 4 |
| Egypt | 4 |
| Face | 4 |
| Forecasting | 4 |
| Form | 4 |
| Fridays | 4 |
| Disorder | 4 |
| ImageNet | 4 |
| Generalized | 4 |
| H. | 4 |
| Harshe | 4 |
| Hexagon | 4 |
| Inactivity | 4 |
| Index | 4 |
| Insert | 4 |
| Institutional | 4 |
| Int | 4 |
| Ireland | 4 |
| Crimson | 4 |
| Cross | 4 |
| Awareness | 4 |
| Correlate | 4 |
| Associations | 4 |
| Lyme | 4 |
| 50dB | 4 |
| ABA | 4 |
| ACCC | 4 |
| Access | 4 |
| Adult | 4 |
| America | 4 |
| American | 4 |
| Anosmia | 4 |
| Arrows | 4 |
| Based | 4 |
| Content | 4 |
| Behçet | 4 |
| Bitcoin | 4 |
| CRS | 4 |
| Catalonia | 4 |
| Chandra | 4 |
| Chicago | 4 |
| Cloud | 4 |
| Comorbidity | 4 |
| Computing | 4 |
| Concerns | 4 |
| LLC | 4 |
| CPPD | 4 |
| Mask | 4 |
| SK | 4 |
| September | 4 |
| Society | 4 |
| Springer | 4 |
| Statistics | 4 |
| Steps | 4 |
| Summary | 4 |
| Syndrome | 4 |
| T. | 4 |
| May. | 4 |
| Takayasu | 4 |
| Takeout | 4 |
| Tracking | 4 |
| Tree | 4 |
| Uganda | 4 |
| Union | 4 |
| V | 4 |
| Volumes | 4 |
| Word | 4 |
| Yahoo | 4 |
| pandemic | 4 |
| rd | 4 |
| st | 4 |
| 4 | |
| SPSS | 4 |
| VOSviewer | 4 |
| River | 4 |
| Outbreak | 4 |
| Replication | 4 |
| Mayer | 4 |
| Measurement | 4 |
| Monday | 4 |
| NNDSS | 4 |
| Natural | 4 |
| Navigation | 4 |
| Obeidat | 4 |
| Office | 4 |
| Oslo | 4 |
| Monitor | 4 |
| P=. | 4 |
| Properties | 4 |
| Recommendations | 4 |
| Pearson | 4 |
| RV | 4 |
| RSSI | 4 |
| Psychometric | 4 |
| Project | 4 |
| Premise | 4 |
| Pornography | 4 |
| Phone | 4 |
| Huberty | 3 |
| GDT | 3 |
| IQR | 3 |
| Healthmap | 3 |
| H5N1 | 3 |
| Group | 3 |
| Gmail | 3 |
| General | 3 |
| EpiSPIDER | 3 |
| Finance | 3 |
| Figs | 3 |
| Extremadura | 3 |
| Expert | 3 |
| Engagement | 3 |
| Electronic | 3 |
| Impact | 3 |
| Effect | 3 |
| IV | 3 |
| Lerman | 3 |
| Inc. | 3 |
| Indonesia | 3 |
| Disorder-7 | 3 |
| Loss | 3 |
| Longitudinal | 3 |
| Lockdown | 3 |
| Linguistic | 3 |
| License | 3 |
| Lee | 3 |
| Leaf | 3 |
| LNA | 3 |
| Jun | 3 |
| Johns | 3 |
| Java | 3 |
| Iran | 3 |
| Infoveillance | 3 |
| Informal | 3 |
| ENT | 3 |
| ArcGIS | 3 |
| Diseases | 3 |
| Avian | 3 |
| Asian | 3 |
| Asia | 3 |
| Arora | 3 |
| Management | 3 |
| Approach | 3 |
| Appendix | 3 |
| Altmetric | 3 |
| Agency | 3 |
| Adults | 3 |
| Adam | 3 |
| Act | 3 |
| Academy | 3 |
| AIDS | 3 |
| 8) | 3 |
| //ec.europ | 3 |
| Attribution | 3 |
| Background | 3 |
| DiCicco | 3 |
| Bbig | 3 |
| Detection | 3 |
| Deep | 3 |
| David | 3 |
| DL | 3 |
| D. | 3 |
| Covid | 3 |
| Count | 3 |
| Council | 3 |
| Corona | 3 |
| ConvNet | 3 |
| Consumer | 3 |
| Computer | 3 |
| Bollywood | 3 |
| Black | 3 |
| Behavioral | 3 |
| M. | 3 |
| Epidemic | 3 |
| Markets | 3 |
| Tweet | 3 |
| Young | 3 |
| Xbox | 3 |
| WH | 3 |
| Voice | 3 |
| Venter | 3 |
| VSee | 3 |
| UN | 3 |
| Transmission | 3 |
| author(s | 3 |
| Touch | 3 |
| Telehealth | 3 |
| Target | 3 |
| Suppl | 3 |
| Sunday | 3 |
| Soria | 3 |
| Self | 3 |
| adtech | 3 |
| chi | 3 |
| Secrest | 3 |
| infodemiology | 3 |
| Mexico | 3 |
| − | 3 |
| tweet | 3 |
| ssion | 3 |
| polymyositis | 3 |
| n=22 | 3 |
| meta | 3 |
| ijqt | 3 |
| corne | 3 |
| i0 | 3 |
| hardlockdown | 3 |
| 3 | |
| disease | 3 |
| detai | 3 |
| data | 3 |
| cryptosporidiosis | 3 |
| Sectional | 3 |
| hepatitis | 3 |
| Schönberger | 3 |
| OE | 3 |
| President | 3 |
| Paul | 3 |
| Patient | 3 |
| Park | 3 |
| Outbreaks | 3 |
| October | 3 |
| Objective | 3 |
| Notifiable | 3 |
| Proximity | 3 |
| Note | 3 |
| Nacional | 3 |
| NY | 3 |
| N=49 | 3 |
| Monitoring | 3 |
| Saturday | 3 |
| Models | 3 |
| Program | 3 |
| Networks | 3 |
| Psychological | 3 |
| Record | 3 |
| SMS | 3 |
| Publisher | 3 |
| Sampling | 3 |
| SA | 3 |
| Rheumatologists | 3 |
| Report | 3 |
| Related | 3 |
| Ross | 3 |
| Recognition | 3 |
| Quarantine | 3 |
| Rakai | 3 |
| RSS | 3 |
| Questionnaire-9 | 3 |
| RPI | 3 |
| HM | 2 |
| Henrickson | 2 |
| Heerfordt | 2 |
| HSE | 2 |
| HP | 2 |
| HIPAAcompliant | 2 |
| GoToMeeting | 2 |
| HIDS | 2 |
| Green | 2 |
| Grabowski | 2 |
| Hong | 2 |
| Goodell | 2 |
| Heymann | 2 |
| IRB | 2 |
| Hoque | 2 |
| House | 2 |
| Huang | 2 |
| Human | 2 |
| I. | 2 |
| ITT | 2 |
| Ideation | 2 |
| Illness | 2 |
| Imaging | 2 |
| Immuni | 2 |
| Impairment | 2 |
| GSV | 2 |
| Immunization | 2 |
| Gayo | 2 |
| F1,46=13.85 | 2 |
| GIS | 2 |
| F1,46=8.05 | 2 |
| Employment | 2 |
| Inc | 2 |
| Entertainment | 2 |
| Environ | 2 |
| Epidemiology | 2 |
| Epidemiología | 2 |
| Epstein | 2 |
| Esteem | 2 |
| Excel | 2 |
| Exploratory | 2 |
| Eysenbach | 2 |
| F1,46=0.14 | 2 |
| FDG | 2 |
| GEV | 2 |
| FR | 2 |
| Farrell | 2 |
| Feb | 2 |
| Febrary | 2 |
| Ferguson | 2 |
| Fill | 2 |
| Fisher | 2 |
| Forest | 2 |
| Forum | 2 |
| Framework | 2 |
| French | 2 |
| GAENAdvertiser | 2 |
| Implications | 2 |
| Low | 2 |
| Incidence | 2 |
| MacDonald | 2 |
| Level | 2 |
| Life | 2 |
| Like | 2 |
| Ling | 2 |
| 2 | |
| Links | 2 |
| M | 2 |
| MIDAS | 2 |
| MK | 2 |
| Methodology | 2 |
| MMR | 2 |
| MTT | 2 |
| Manila | 2 |
| Income | 2 |
| Manski | 2 |
| Manyika | 2 |
| Maps | 2 |
| Market | 2 |
| Maryland | 2 |
| Mass | 2 |
| Mavragani | 2 |
| McFadden | 2 |
| McKinsey | 2 |
| Mediational | 2 |
| Meta | 2 |
| Economy | 2 |
| Leith | 2 |
| Language | 2 |
| La | 2 |
| LSOAs | 2 |
| Indian | 2 |
| Indicators | 2 |
| Industry | 2 |
| Infectious | 2 |
| 2 | |
| Interpersonal | 2 |
| Intervention | 2 |
| Iquitos | 2 |
| Irvine | 2 |
| Islands | 2 |
| JP | 2 |
| JSB | 2 |
| Jafari | 2 |
| Jakob | 2 |
| James | 2 |
| Jonathan | 2 |
| Journal | 2 |
| KL | 2 |
| KR | 2 |
| Kaleem | 2 |
| Kautz | 2 |
| Kolmogorov | 2 |
| Kong | 2 |
| Kumar | 2 |
| LIWC2015 | 2 |
| Eid | 2 |
| Americas | 2 |
| Earth | 2 |
| Berkeley | 2 |
| B. | 2 |
| BMC | 2 |
| BSI | 2 |
| Baidu | 2 |
| Baltimore | 2 |
| Bangkok | 2 |
| Barmah | 2 |
| Barr | 2 |
| Bayes | 2 |
| Behav | 2 |
| Behaviors | 2 |
| Bento | 2 |
| Bharat | 2 |
| CH | 2 |
| Biases | 2 |
| Bono | 2 |
| Booker | 2 |
| Border | 2 |
| Boston | 2 |
| Boyd | 2 |
| Bridget | 2 |
| British | 2 |
| Brownstein | 2 |
| Burden | 2 |
| C. | 2 |
| CA | 2 |
| Avello | 2 |
| Authority | 2 |
| Australian | 2 |
| Atlantic | 2 |
| Michael | 2 |
| /press | 2 |
| 15–May | 2 |
| A.M. | 2 |
| ACAC | 2 |
| ACE2 | 2 |
| ARO | 2 |
| ASD | 2 |
| AU | 2 |
| Accuracy | 2 |
| Ads | 2 |
| Advanced | 2 |
| Alex | 2 |
| Algorithms | 2 |
| Alvarez | 2 |
| Americans | 2 |
| Anonymizing | 2 |
| Anti | 2 |
| Antibody | 2 |
| App | 2 |
| Areas | 2 |
| Aria | 2 |
| Army | 2 |
| Ashraf | 2 |
| Associated | 2 |
| CCR5-delta | 2 |
| CI13.21%-16.06 | 2 |
| ELECTRONIC | 2 |
| Daniel | 2 |
| Corporation | 2 |
| Correlation | 2 |
| Correlations | 2 |
| Creutzfeldt | 2 |
| Cummings | 2 |
| Cytoplasmic | 2 |
| DARPA | 2 |
| DE | 2 |
| DLP | 2 |
| DSM | 2 |
| DSM-5 | 2 |
| Da | 2 |
| DeConde | 2 |
| COPD | 2 |
| Defense | 2 |
| Definitions | 2 |
| Design | 2 |
| DiGrazia | 2 |
| Digest | 2 |
| Distancing | 2 |
| District | 2 |
| Douglas | 2 |
| Draft | 2 |
| E. | 2 |
| ECDC | 2 |
| EL | 2 |
| Corbet | 2 |
| Cook | 2 |
| Controversial | 2 |
| Contextualized | 2 |
| California | 2 |
| Campus | 2 |
| Cape | 2 |
| Cases | 2 |
| Categories | 2 |
| Celebrity | 2 |
| Census | 2 |
| Centre | 2 |
| Centro | 2 |
| Changes | 2 |
| Chikungunya | 2 |
| Childhood | 2 |
| Cholera | 2 |
| Chris | 2 |
| Circadian | 2 |
| Classification | 2 |
| CoV | 2 |
| CoV2 | 2 |
| Commission | 2 |
| Company | 2 |
| Competition | 2 |
| Compulsive | 2 |
| Conditions | 2 |
| Configuration | 2 |
| Contact | 2 |
| Methods | 2 |
| Holm | 2 |
| Minister | 2 |
| Washington | 2 |
| Valuation | 2 |
| Value | 2 |
| Vienna | 2 |
| Vijayakumar | 2 |
| Vincent | 2 |
| Viral | 2 |
| Virus | 2 |
| Vision | 2 |
| Vulnerability | 2 |
| W | 2 |
| W911NF-15 | 2 |
| Wales | 2 |
| William | 2 |
| Urban | 2 |
| Williams | 2 |
| Withdrawal | 2 |
| Yasir | 2 |
| YouTubers | 2 |
| Youths | 2 |
| Zaman | 2 |
| Zealand | 2 |
| Zoom | 2 |
| a.eu/commi | 2 |
| a=0.05 | 2 |
| anosmia | 2 |
| bin | 2 |
| Usages | 2 |
| Unit | 2 |
| da | 2 |
| Thomas | 2 |
| Surgery | 2 |
| Surveys | 2 |
| Symbol | 2 |
| Syndication | 2 |
| Syndromic | 2 |
| Tables | 2 |
| Tamil | 2 |
| Tensorflow | 2 |
| Tesco | 2 |
| Texas | 2 |
| Thailand | 2 |
| Theory | 2 |
| Tips | 2 |
| Understanding | 2 |
| Title | 2 |
| Top | 2 |
| Topics | 2 |
| Town | 2 |
| Transdev | 2 |
| Treasury | 2 |
| TrendsTM | 2 |
| Trinity | 2 |
| U | 2 |
| U.S | 2 |
| U.S.A. | 2 |
| U.s | 2 |
| colchicine | 2 |
| del | 2 |
| Supplementary | 2 |
| ses | 2 |
| n=17 | 2 |
| n=20 | 2 |
| n=24 | 2 |
| n=30 | 2 |
| n=31 | 2 |
| n=39 | 2 |
| national | 2 |
| nodosa | 2 |
| polyarteritis | 2 |
| polymyalgia | 2 |
| rheumatica | 2 |
| scrapy | 2 |
| surveillance | 2 |
| mobility | 2 |
| t. | 2 |
| tc | 2 |
| youtube | 2 |
| | | 2 |
| × | 2 |
| ̃T | 2 |
| σ | 2 |
| ∀i | 2 |
| −1 | 2 |
| −7 | 2 |
| Minnesota | 2 |
| ≠ | 2 |
| n=10 | 2 |
| mmons | 2 |
| dermatomyositis | 2 |
| intraclass | 2 |
| e. | 2 |
| españa | 2 |
| europeen | 2 |
| github | 2 |
| gmd | 2 |
| google.com/forms/about/ | 2 |
| gt | 2 |
| http://creat | 2 |
| hyperresponsiveness | 2 |
| i. | 2 |
| ijq | 2 |
| inperson | 2 |
| italy | 2 |
| mean=9.82 | 2 |
| iveco | 2 |
| journal | 2 |
| keyword(s | 2 |
| keywords | 2 |
| licen | 2 |
| lnP | 2 |
| mean=0.96 | 2 |
| mean=1.27 | 2 |
| mean=14.64 | 2 |
| mean=7.28 | 2 |
| mean=7.37 | 2 |
| mean=7.54 | 2 |
| Support | 2 |
| mean=9.15 | 2 |
| Superdrug | 2 |
| Preventive | 2 |
| Patients | 2 |
| Patna | 2 |
| Pattern | 2 |
| Patterns | 2 |
| Perceptions | 2 |
| Periods | 2 |
| Perspective | 2 |
| Peter | 2 |
| Pneumonia | 2 |
| Practical | 2 |
| Press | 2 |
| Prevalence | 2 |
| Prime | 2 |
| Panuganti | 2 |
| Processing | 2 |
| Profile | 2 |
| Projects | 2 |
| Protection | 2 |
| Pytorch | 2 |
| Question | 2 |
| ROC | 2 |
| RR | 2 |
| RX | 2 |
| Rand | 2 |
| Recorder | 2 |
| Recreation | 2 |
| Panum | 2 |
| Pan | 2 |
| Res | 2 |
| Nations | 2 |
| Misinformation | 2 |
| Suicidal | 2 |
| Mishra | 2 |
| Mitigation | 2 |
| Mood | 2 |
| Morey | 2 |
| Multidisciplinary | 2 |
| Murcia | 2 |
| Murray | 2 |
| NCRB | 2 |
| NCS | 2 |
| NLL | 2 |
| Nest | 2 |
| Pajek | 2 |
| Netherlands | 2 |
| Networking | 2 |
| Neutrophil | 2 |
| Nonverbal | 2 |
| Norway | 2 |
| November | 2 |
| Nudge | 2 |
| Nuti | 2 |
| Outdoor | 2 |
| P<.001 | 2 |
| P=.01 | 2 |
| Pacific | 2 |
| Region | 2 |
| Nielsen | 2 |
| Residential | 2 |
| Smirnov | 2 |
| Second | 2 |
| Select | 2 |
| Sense | 2 |
| Sensor | 2 |
| Sergio | 2 |
| Sharif | 2 |
| Side | 2 |
| Signorini | 2 |
| Silenzio | 2 |
| Simon | 2 |
| Sites | 2 |
| Smales | 2 |
| Spatial | 2 |
| Scientometrics | 2 |
| Sri | 2 |
| State | 2 |
| Stationary | 2 |
| Stephen | 2 |
| Stigler | 2 |
| Stock | 2 |
| Student | 2 |
| Successive | 2 |
| Resource | 2 |
| Sudan | 2 |
| Sufficiency | 2 |
| Suess | 2 |
| Searches | 2 |
| Station | 2 |
| Sciences | 2 |
| Rules | 2 |
| Results | 2 |
| Rev | 2 |
| Response | 2 |
| Sciascia | 2 |
| Respiratory | 2 |
| Revolution | 2 |
| Rice | 2 |
| Richard | 2 |
| Riss | 2 |
| Robin | 2 |
| Rome | 2 |
| Routes | 2 |
| Risk | 2 |
| SV | 2 |
| SMRA | 2 |
| SNPs | 2 |
| Saturdays | 2 |
| SSRN | 2 |
| Scheme | 2 |
| ST | 2 |
| Scalable | 2 |
| Safari | 2 |
| S | 2 |
| Scale-7 | 2 |
| Guangdong | 1 |
| Guangzhou | 1 |
| HMRC | 1 |
| Groups | 1 |
| Gross | 1 |
| Grens | 1 |
| Haenlein | 1 |
| Guevara | 1 |
| Gustatory | 1 |
| Guidance | 1 |
| Guidelines | 1 |
| Gutelius | 1 |
| H1 | 1 |
| H2 | 1 |
| HC | 1 |
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| https://github.com/GeorgeCherry/anosmia_search_interest_covid-19 | 1 |
| https://www.ecdc.europa.eu/en/publicationsdata/download-todays-data-geographic-distribution-covid-19-cases-worldwide | 1 |
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