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 |
|---|---|
| Hubei | 924 |
| Wuhan | 843 |
| China | 651 |
| COVID-19 | 362 |
| January | 301 |
| February | 236 |
| Province | 199 |
| SARS | 192 |
| Fig | 161 |
| Health | 131 |
| Table | 118 |
| Coronavirus | 78 |
| National | 66 |
| City | 58 |
| March | 55 |
| B | 53 |
| ND | 51 |
| CC | 51 |
| BY | 51 |
| Spring | 50 |
| World | 49 |
| β | 47 |
| Festival | 47 |
| Novel | 46 |
| Organization | 45 |
| Henan | 44 |
| C | 41 |
| Commission | 41 |
| CoV-2 | 41 |
| HCV | 40 |
| Jiangxi | 40 |
| Shanghai | 39 |
| NC | 39 |
| HBV | 39 |
| PIBA | 38 |
| Turkey | 37 |
| Chinese | 35 |
| medRxiv | 34 |
| i | 33 |
| New | 33 |
| December | 32 |
| J | 32 |
| Zhang | 31 |
| Treat | 31 |
| SEIR | 31 |
| Panel | 31 |
| Baidu | 31 |
| People | 30 |
| Li | 30 |
| Beijing | 30 |
| NACP | 29 |
| Disease | 28 |
| Anhui | 28 |
| F | 28 |
| Jan | 28 |
| Zhejiang | 28 |
| Yunnan | 27 |
| Republic | 27 |
| ACE2 | 27 |
| Wang | 26 |
| SAR | 26 |
| S | 26 |
| ct | 25 |
| D | 25 |
| Figure | 24 |
| Heilongjiang | 24 |
| Italy | 24 |
| sha | 24 |
| USA | 23 |
| T | 23 |
| Guangdong | 23 |
| CI | 23 |
| CHIKV | 23 |
| Science | 22 |
| April | 22 |
| A | 22 |
| Korea | 21 |
| BD | 21 |
| Hunan | 21 |
| Year | 21 |
| South | 21 |
| SEIRD | 20 |
| SEIAR | 20 |
| LSTM | 20 |
| Feb. | 20 |
| ECMO | 20 |
| Prevention | 19 |
| DOI | 19 |
| ICU | 18 |
| Huang | 18 |
| Jan. | 18 |
| Liu | 18 |
| − | 18 |
| meta | 17 |
| Xiaogan | 17 |
| PHQ-9 | 17 |
| Macao | 17 |
| Hong | 17 |
| GWR | 17 |
| Control | 17 |
| Appendix | 17 |
| 16S | 17 |
| Ebola | 16 |
| Epidemic | 16 |
| Huanggang | 16 |
| Committee | 16 |
| HIV | 16 |
| AIV | 16 |
| LOS | 16 |
| University | 16 |
| γ | 16 |
| Model | 16 |
| R | 16 |
| Supplementary | 15 |
| −1 | 15 |
| CoV | 15 |
| Stage | 15 |
| PTSD | 15 |
| T1 | 15 |
| T2 | 15 |
| Wu | 15 |
| Xinyang | 15 |
| IV | 14 |
| CIRD | 14 |
| Chen | 14 |
| EI | 14 |
| EIV | 14 |
| Fuyang | 14 |
| GAD-7 | 14 |
| Pearson | 14 |
| Kong | 14 |
| M | 14 |
| Mainland | 14 |
| Shandong | 14 |
| Shigella | 14 |
| TOH | 14 |
| Center | 13 |
| Migration | 13 |
| Pneumonia | 13 |
| Sichuan | 13 |
| States | 13 |
| t. | 13 |
| china | 13 |
| ± | 12 |
| LBS | 12 |
| CSF | 12 |
| Chongqing | 12 |
| DFE | 12 |
| Foundation | 12 |
| wuhan | 12 |
| Guangxi | 12 |
| Fujian | 12 |
| Liaoning | 12 |
| Ministry | 12 |
| Provinces | 12 |
| Report | 12 |
| S. | 12 |
| Transmission | 12 |
| United | 12 |
| Jiangsu | 12 |
| Index | 11 |
| A(H3N2 | 11 |
| AUC | 11 |
| CAPM | 11 |
| Hebei | 11 |
| Hospital | 11 |
| Impact | 11 |
| Medical | 11 |
| Research | 11 |
| State | 11 |
| XXVI | 11 |
| Yichang | 11 |
| fm | 11 |
| SPSS | 11 |
| Iran | 10 |
| (= | 10 |
| CFR | 10 |
| DAA | 10 |
| Hainan | 10 |
| ISI-7 | 10 |
| Infectious | 10 |
| H3N8 | 10 |
| N | 10 |
| Tianjin | 10 |
| UK | 10 |
| mf | 10 |
| preprint | 10 |
| Shaanxi | 10 |
| • | 10 |
| Commons | 9 |
| E | 9 |
| District | 9 |
| Creative | 9 |
| Council | 9 |
| Analysis | 9 |
| CDC | 9 |
| C. | 9 |
| Administration | 9 |
| A(H1N1)pdm09 | 9 |
| -9 | 9 |
| Harbin | 9 |
| Global | 9 |
| Patient | 9 |
| Information | 9 |
| Public | 9 |
| mm | 9 |
| Lunar | 9 |
| System | 9 |
| Spain | 9 |
| S1 | 9 |
| city | 9 |
| Project | 9 |
| Ningxia | 9 |
| NHC | 9 |
| Mobility | 9 |
| MERS | 9 |
| Municipal | 8 |
| CD5L | 8 |
| Central | 8 |
| DV | 8 |
| Effect | 8 |
| Emergency | 8 |
| Gansu | 8 |
| Granger | 8 |
| Lancet | 8 |
| International | 8 |
| Natural | 8 |
| Technology | 8 |
| nan | 8 |
| ff | 8 |
| Xianning | 8 |
| rRNA | 8 |
| Surveillance | 8 |
| R(0 | 8 |
| PCR | 8 |
| Chi | 7 |
| Human | 7 |
| Huanan | 7 |
| H1N1 | 7 |
| Government | 7 |
| Feb | 7 |
| Dynamics | 7 |
| Diseases | 7 |
| Cronbach | 7 |
| Africa | 7 |
| Chan | 7 |
| Care | 7 |
| CRP | 7 |
| B. | 7 |
| Jilin | 7 |
| Ae | 7 |
| = | 7 |
| 8) | 7 |
| 6xi | 7 |
| Influenza | 7 |
| Ezhou | 7 |
| Liang | 7 |
| Victoria | 7 |
| NO(2 | 7 |
| χ | 7 |
| mid | 7 |
| https://doi.org/10 | 7 |
| Zhou | 7 |
| Yu | 7 |
| Yamagata | 7 |
| Xinjiang | 7 |
| WH | 7 |
| York | 7 |
| Study | 7 |
| Response | 7 |
| Statistical | 7 |
| PCT | 7 |
| Pan | 7 |
| Respiratory | 7 |
| NS5A | 7 |
| Risk | 7 |
| Shenzhen | 7 |
| H3N2 | 6 |
| DMP | 6 |
| Guizhou | 6 |
| Gao | 6 |
| France | 6 |
| First | 6 |
| Ethics | 6 |
| Eq | 6 |
| East | 6 |
| Declaration | 6 |
| Data | 6 |
| A(H1N1 | 6 |
| Covid-19 | 6 |
| Corporation | 6 |
| Chinazzi | 6 |
| Chikungunya | 6 |
| Cases | 6 |
| CLP | 6 |
| Based | 6 |
| A1 | 6 |
| A. | 6 |
| Hou | 6 |
| Helsinki | 6 |
| N(i | 6 |
| Huangpi | 6 |
| Qinghai | 6 |
| Huoshenshan | 6 |
| α | 6 |
| www.nature.com/scientificreports/ | 6 |
| ith | 6 |
| Y | 6 |
| Time | 6 |
| Team | 6 |
| Tables | 6 |
| Suizhou | 6 |
| SIR | 6 |
| hepatitis | 6 |
| Peng | 6 |
| MinION | 6 |
| PM | 6 |
| July | 6 |
| Lu | 6 |
| Lai | 6 |
| Nowcasting | 6 |
| One | 6 |
| Jinan | 6 |
| Guo | 5 |
| Guangzhou | 5 |
| Hui | 5 |
| H | 5 |
| HBsAg | 5 |
| Hankou | 5 |
| Hepatitis | 5 |
| Huangshi | 5 |
| Inc. | 5 |
| II | 5 |
| IU | 5 |
| Indian | 5 |
| J. | 5 |
| Jing | 5 |
| GenBank | 5 |
| Joint | 5 |
| Group | 5 |
| Australia | 5 |
| Figs | 5 |
| Factors | 5 |
| June | 5 |
| < | 5 |
| Adda | 5 |
| America | 5 |
| Asia | 5 |
| Association | 5 |
| Asymptomatic | 5 |
| Belloni | 5 |
| CHD | 5 |
| CMDS | 5 |
| Corona | 5 |
| DID | 5 |
| DNA | 5 |
| Epidemiology | 5 |
| Estimation | 5 |
| Journal | 5 |
| Syndrome | 5 |
| Long | 5 |
| Thailand | 5 |
| Vietnam | 5 |
| Virus | 5 |
| WHO | 5 |
| Xiao | 5 |
| Xinzhou | 5 |
| Yang | 5 |
| Yao | 5 |
| Zheng | 5 |
| ij | 5 |
| nd | 5 |
| shigellosis | 5 |
| t−κ | 5 |
| δ | 5 |
| ∼ | 5 |
| Ma | 5 |
| Tian | 5 |
| rt | 5 |
| Microsoft | 5 |
| Ocean | 5 |
| May | 5 |
| Mental | 5 |
| Market | 5 |
| Mongolia | 5 |
| NO2 | 5 |
| Social | 5 |
| ONT | 5 |
| OLS | 5 |
| P | 5 |
| Provincial | 5 |
| Qian | 5 |
| Qianxi | 5 |
| Seafood | 5 |
| Shanxi | 5 |
| Shi | 5 |
| Hu | 4 |
| Hopkins | 4 |
| Hongkong | 4 |
| Han | 4 |
| H7N7 | 4 |
| Lasso | 4 |
| Grant | 4 |
| Germany | 4 |
| Geneva | 4 |
| Gal | 4 |
| Fund | 4 |
| I | 4 |
| Food | 4 |
| Hua | 4 |
| Japan | 4 |
| IBM | 4 |
| IES-7 | 4 |
| IL-6 | 4 |
| Iek | 4 |
| Infection | 4 |
| Inflow | 4 |
| Int | 4 |
| Jingmen | 4 |
| Jingzhou | 4 |
| Johns | 4 |
| K | 4 |
| LH | 4 |
| Feasibility | 4 |
| Ferguson | 4 |
| Clinical | 4 |
| Fang | 4 |
| Commissions | 4 |
| Lei | 4 |
| 3a | 4 |
| APACHE | 4 |
| ASFV | 4 |
| ArcGIS | 4 |
| CK | 4 |
| COVID-2019 | 4 |
| CSSE | 4 |
| CT | 4 |
| Chong | 4 |
| Cities | 4 |
| Cluster | 4 |
| Composite | 4 |
| Eye | 4 |
| Defects | 4 |
| Department | 4 |
| Dong | 4 |
| Dr. | 4 |
| ECSA | 4 |
| Early | 4 |
| Education | 4 |
| Effectiveness | 4 |
| Enshi | 4 |
| Environ | 4 |
| Exchange | 4 |
| Exposure | 4 |
| Lee | 4 |
| Tube | 4 |
| Lockdown | 4 |
| Yin | 4 |
| Typhoon | 4 |
| US | 4 |
| Wei | 4 |
| Weibull | 4 |
| Wenzhou | 4 |
| West | 4 |
| XXV | 4 |
| Xiangyang | 4 |
| Xiantao | 4 |
| Xu | 4 |
| Yan | 4 |
| Ye | 4 |
| Youth | 4 |
| Test | 4 |
| Zhao | 4 |
| author(s | 4 |
| covid-19 | 4 |
| doc_id | 4 |
| mg | 4 |
| sars | 4 |
| xs | 4 |
| × | 4 |
| κ(t | 4 |
| λ(t | 4 |
| μ | 4 |
| MB | 4 |
| σ | 4 |
| agalactiae | 4 |
| Taiwan | 4 |
| Q(t | 4 |
| Macau | 4 |
| Sun | 4 |
| Middle | 4 |
| Modelling | 4 |
| NCP | 4 |
| NGM | 4 |
| Neural | 4 |
| Office | 4 |
| Outbreak | 4 |
| Oxford | 4 |
| Pakistan | 4 |
| Poisson | 4 |
| NPIs | 4 |
| Qiu | 4 |
| SI | 4 |
| Square | 4 |
| Questionnaire-9 | 4 |
| Singapore | 4 |
| Shiyan | 4 |
| Sect | 4 |
| Severity | 4 |
| S(0 | 4 |
| Review | 4 |
| RNA | 4 |
| RAS | 4 |
| Stock | 4 |
| Inner | 3 |
| Hannan | 3 |
| Infected | 3 |
| India | 3 |
| Incubation | 3 |
| IP | 3 |
| IES | 3 |
| I,0 | 3 |
| Gostin | 3 |
| HTD | 3 |
| H5N1 | 3 |
| H. | 3 |
| Guidelines | 3 |
| Geographical | 3 |
| Fu | 3 |
| Jianghan | 3 |
| Feng | 3 |
| Insomnia | 3 |
| Map | 3 |
| Jiangxia | 3 |
| KM35 | 3 |
| Event | 3 |
| NCBI | 3 |
| Monitoring | 3 |
| Maternal | 3 |
| Mar. | 3 |
| Mak | 3 |
| MSM | 3 |
| Luo | 3 |
| Lin | 3 |
| Leishenshan | 3 |
| Le | 3 |
| Lan | 3 |
| Lam | 3 |
| L | 3 |
| Kunming | 3 |
| Excel | 3 |
| Armonk | 3 |
| Egypt | 3 |
| Anxiety | 3 |
| CFRs | 3 |
| C.F. | 3 |
| C,0 | 3 |
| Birth | 3 |
| Bi | 3 |
| Attribution | 3 |
| Nature | 3 |
| Annual | 3 |
| Editor | 3 |
| Algorithm | 3 |
| Ahrens | 3 |
| Access | 3 |
| AST | 3 |
| ALT | 3 |
| 3D | 3 |
| 3C | 3 |
| Caidian | 3 |
| Cao | 3 |
| Case | 3 |
| Cheong | 3 |
| Driessche | 3 |
| Dongxihu | 3 |
| Dis | 3 |
| Diekmann | 3 |
| Defect | 3 |
| Dec. | 3 |
| Critical | 3 |
| Cov | 3 |
| Computing | 3 |
| Cleft | 3 |
| Chunyun | 3 |
| Chu | 3 |
| Chin | 3 |
| Child | 3 |
| Chicago | 3 |
| NY | 3 |
| CO | 3 |
| Ni | 3 |
| YNKH261 | 3 |
| aegypti | 3 |
| Zika | 3 |
| Zhumadian | 3 |
| Zhu | 3 |
| Zhong | 3 |
| ZZ | 3 |
| Yearbook | 3 |
| Y. | 3 |
| desc | 3 |
| Xiong | 3 |
| Xie | 3 |
| Xiang | 3 |
| X. | 3 |
| Working | 3 |
| Workers | 3 |
| Wilcoxon | 3 |
| den | 3 |
| dr | 3 |
| Watmough | 3 |
| rd | 3 |
| Ningbo | 3 |
| −1)−s | 3 |
| λ | 3 |
| þ | 3 |
| ¼ | 3 |
| ys | 3 |
| www.wjx.cn | 3 |
| r>0.51 | 3 |
| ijth | 3 |
| province | 3 |
| p<0.01 | 3 |
| nanopore | 3 |
| m∩w | 3 |
| kτ | 3 |
| key | 3 |
| k1 | 3 |
| Wholesale | 3 |
| hydrocephaly | 3 |
| WBC | 3 |
| Psychological | 3 |
| SEIARW | 3 |
| SAa2,3 | 3 |
| SAS | 3 |
| S2 | 3 |
| R,0 | 3 |
| Quality | 3 |
| Qi | 3 |
| Program | 3 |
| School | 3 |
| Portal | 3 |
| Patterns | 3 |
| Pandemic | 3 |
| October | 3 |
| Number | 3 |
| WA | 3 |
| North | 3 |
| Scale | 3 |
| Qianjiang | 3 |
| Times | 3 |
| TC | 3 |
| W | 3 |
| Sci | 3 |
| Viruses | 3 |
| Van | 3 |
| Transportation | 3 |
| Tibet | 3 |
| Tianmen | 3 |
| Taxonomy | 3 |
| Survey | 3 |
| Statistics | 3 |
| Springer | 3 |
| Spread | 3 |
| Spatial | 3 |
| Shen | 3 |
| Volpato | 3 |
| Hon | 2 |
| Huazhong | 2 |
| Hospitalar | 2 |
| Hongshan | 2 |
| Institute | 2 |
| Ho | 2 |
| His353 | 2 |
| I(0 | 2 |
| Hanyang | 2 |
| Huber | 2 |
| Index-7 | 2 |
| I(t | 2 |
| IAV | 2 |
| IDSA | 2 |
| IL | 2 |
| IMI | 2 |
| Imai | 2 |
| Inflection | 2 |
| Hanchuan | 2 |
| Hangzhou | 2 |
| Forecasting | 2 |
| Haerbin | 2 |
| HDU | 2 |
| Interventions | 2 |
| Fan | 2 |
| FangCangs | 2 |
| Finance | 2 |
| Fredrickson | 2 |
| Future | 2 |
| Fuzhou | 2 |
| GDP | 2 |
| Gai | 2 |
| Generalized | 2 |
| GeoDetector | 2 |
| Gilbert | 2 |
| Gu | 2 |
| Guan | 2 |
| Guide | 2 |
| H5N6 | 2 |
| H7N9 | 2 |
| H9N2 | 2 |
| HA | 2 |
| Institutional | 2 |
| Modeling | 2 |
| Investigation | 2 |
| Ion | 2 |
| Ltd. | 2 |
| Lys31 | 2 |
| Lys353 | 2 |
| MAFFT | 2 |
| MAPE | 2 |
| Major | 2 |
| Mapping | 2 |
| Mar | 2 |
| Materials | 2 |
| McGoogan | 2 |
| Met82 | 2 |
| Migrants | 2 |
| Mills | 2 |
| Evaluation | 2 |
| Ms. | 2 |
| Myanmar | 2 |
| NCIP | 2 |
| NEU% | 2 |
| NGS | 2 |
| Lo | 2 |
| Lio | 2 |
| Linping | 2 |
| Kan | 2 |
| Januário | 2 |
| Jia | 2 |
| Jiang | 2 |
| Jiang'an | 2 |
| Jie | 2 |
| Jinzhou | 2 |
| K. | 2 |
| Kaihuan | 2 |
| Katz | 2 |
| License | 2 |
| Keeling | 2 |
| Khan | 2 |
| Kim | 2 |
| Klompas | 2 |
| L.C. | 2 |
| L.L. | 2 |
| Lauer | 2 |
| Leong | 2 |
| Evans | 2 |
| Chon | 2 |
| Europeen | 2 |
| Carolyn | 2 |
| Althaus | 2 |
| American | 2 |
| An | 2 |
| Arabia | 2 |
| Asn31 | 2 |
| Assessment | 2 |
| Associated | 2 |
| BMI | 2 |
| BX | 2 |
| BYM | 2 |
| BZ | 2 |
| Background | 2 |
| Bangladesh | 2 |
| Bian | 2 |
| Board | 2 |
| Bureau | 2 |
| Buttelmann | 2 |
| C.Y. | 2 |
| CICC | 2 |
| Air | 2 |
| Agency | 2 |
| African | 2 |
| 2SLS | 2 |
| NS5B | 2 |
| -8 | 2 |
| -b | 2 |
| //doi.org/10.1101 | 2 |
| 1i | 2 |
| 2A | 2 |
| 2C | 2 |
| 2D | 2 |
| 6e | 2 |
| Adam | 2 |
| A210 | 2 |
| AASLD | 2 |
| AI | 2 |
| AIM | 2 |
| APE | 2 |
| Aaron | 2 |
| Absolute | 2 |
| Abstract | 2 |
| CSRGC | 2 |
| Centro | 2 |
| Ethical | 2 |
| Chang | 2 |
| Desjardins | 2 |
| Detection | 2 |
| Disorder-7 | 2 |
| Dynamic | 2 |
| E(0 | 2 |
| E(t | 2 |
| E2 | 2 |
| EASL | 2 |
| EEM | 2 |
| EIR | 2 |
| ESR | 2 |
| EUROCAT | 2 |
| Earth | 2 |
| Economic | 2 |
| Edinburgh | 2 |
| Educational | 2 |
| England | 2 |
| Eqs | 2 |
| Equation | 2 |
| Deng | 2 |
| Dec | 2 |
| Dear | 2 |
| College | 2 |
| Changsha | 2 |
| Charu | 2 |
| Cheng | 2 |
| Chew | 2 |
| Chibi | 2 |
| Chun | 2 |
| Code | 2 |
| Cognitive | 2 |
| Communications | 2 |
| Daily | 2 |
| Community | 2 |
| Conde | 2 |
| Conference | 2 |
| Consensus | 2 |
| Coronaviruses | 2 |
| Cross | 2 |
| D,0 | 2 |
| DC | 2 |
| NHS | 2 |
| Leone | 2 |
| NW | 2 |
| Water | 2 |
| 2 | |
| Wen | 2 |
| Wildlife | 2 |
| Windows | 2 |
| Wuchang | 2 |
| X | 2 |
| X.J. | 2 |
| Xi | 2 |
| Xiandeng | 2 |
| Xiaoyu | 2 |
| Xin | 2 |
| Xinhua | 2 |
| Xizang | 2 |
| Y.S. | 2 |
| YNKH284 | 2 |
| YW | 2 |
| Yanhui | 2 |
| Yi | 2 |
| Ze | 2 |
| Wayz | 2 |
| WCMI | 2 |
| TAF | 2 |
| Veterans | 2 |
| TM | 2 |
| TMPRSS2 | 2 |
| Talents | 2 |
| Tang | 2 |
| Taylor | 2 |
| Term | 2 |
| Thompson | 2 |
| Toronto | 2 |
| Transport | 2 |
| Travel | 2 |
| Treatment | 2 |
| Trends | 2 |
| Tropical | 2 |
| Tugade | 2 |
| U.S. | 2 |
| USD | 2 |
| USISS | 2 |
| VAR | 2 |
| Velpatasvir | 2 |
| Zhengzhou | 2 |
| Zhijiang | 2 |
| albopictus | 2 |
| andz | 2 |
| r=0.51 | 2 |
| sofosbuvir | 2 |
| spring | 2 |
| states | 2 |
| subthreshold | 2 |
| t+1 | 2 |
| tanhð | 2 |
| tenofovir | 2 |
| th | 2 |
| ug | 2 |
| united | 2 |
| Þ | 2 |
| ðxÞ | 2 |
| ε | 2 |
| τ | 2 |
| ሻ | 2 |
| ∈ | 2 |
| −7 | 2 |
| Nanjing | 2 |
| p>0.06 | 2 |
| p=0.037 | 2 |
| nT | 2 |
| g/8 | 2 |
| association | 2 |
| bacillary | 2 |
| bp | 2 |
| br | 2 |
| cr | 2 |
| department | 2 |
| exp(−1.287 | 2 |
| festival | 2 |
| genotype | 2 |
| ledipasvir | 2 |
| health | 2 |
| http://qianxi.baidu.com/ | 2 |
| https | 2 |
| https://www.who.int/csr/sars/country/en/ | 2 |
| hubei | 2 |
| i. | 2 |
| i−1 | 2 |
| i−n | 2 |
| TDF | 2 |
| Z | 2 |
| São | 2 |
| Recovered | 2 |
| Points | 2 |
| Population | 2 |
| Post | 2 |
| Potential | 2 |
| Practice | 2 |
| Prediction | 2 |
| Press | 2 |
| Q | 2 |
| QC | 2 |
| 2 | |
| Quarantine | 2 |
| R(t | 2 |
| RDP4 | 2 |
| RMSFE | 2 |
| Rabajante | 2 |
| Railway | 2 |
| Rank | 2 |
| Rapid | 2 |
| ReLU | 2 |
| Phelan | 2 |
| Pei | 2 |
| Pathogenicity | 2 |
| November | 2 |
| Nanyang | 2 |
| Susceptible | 2 |
| News | 2 |
| Ning | 2 |
| Nishiura | 2 |
| No | 2 |
| Normal | 2 |
| Note | 2 |
| OMI | 2 |
| Party | 2 |
| Optimization | 2 |
| Outbreaks | 2 |
| PHEIC | 2 |
| PM10 | 2 |
| PRC | 2 |
| PRCC | 2 |
| Paper | 2 |
| Parmet | 2 |
| Real | 2 |
| R0 | 2 |
| Region | 2 |
| September | 2 |
| Severe | 2 |
| Shan | 2 |
| Short | 2 |
| Sierra | 2 |
| Sinha | 2 |
| Society | 2 |
| Nanopore | 2 |
| Southern | 2 |
| Space | 2 |
| Spatiotemporal | 2 |
| Spearman | 2 |
| Special | 2 |
| Staphylococcus | 2 |
| Stata | 2 |
| Streptococcus | 2 |
| Su | 2 |
| Sub | 2 |
| Summary | 2 |
| Survival | 2 |
| Ser82 | 2 |
| Southeastern | 2 |
| Security | 2 |
| Rui | 2 |
| Rep | 2 |
| Secretary | 2 |
| Resources | 2 |
| Results | 2 |
| Riley | 2 |
| Riou | 2 |
| Roberts | 2 |
| Rohani | 2 |
| Res | 2 |
| S(t | 2 |
| SOFA | 2 |
| S1.xls | 2 |
| Saudi | 2 |
| Saharan | 2 |
| Second | 2 |
| SEIQR | 2 |
| SAA | 2 |
| ICUs | 1 |
| Illness | 1 |
| IMF | 1 |
| INR | 1 |
| Informed | 1 |
| IOL | 1 |
| IgGpositive | 1 |
| IgM | 1 |
| Illinois | 1 |
| Important | 1 |
| Impacts | 1 |
| Impairment | 1 |
| Importance | 1 |
| Incorporating | 1 |
| Indonesia | 1 |
| Inference | 1 |
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