| scholarly article | Q13442814 |
| P8150 | COVIDWHO ID | covidwho-535 |
| P6179 | Dimensions Publication ID | 1124753282 |
| P356 | DOI | 10.3390/JCM9020462 |
| P10897 | ORKG ID | R44918 |
| P932 | PMC publication ID | 7074281 |
| P698 | PubMed publication ID | 32046137 |
| P8299 | Semantic Scholar corpus ID | 211085036 |
| P50 | author | Nicola Luigi Bragazzi | Q41876081 |
| P2093 | author name string | Biao Tang | |
| Xia Wang | |||
| Qian Li | |||
| Jianhong Wu | |||
| Yanni Xiao | |||
| Sanyi Tang | |||
| P2860 | cites work | Estimation of MERS-Coronavirus Reproductive Number and Case Fatality Rate for the Spring 2014 Saudi Arabia Outbreak: Insights from Publicly Available Data | Q30204712 |
| SARS and MERS: recent insights into emerging coronaviruses | Q30249325 | ||
| Community-based measures for mitigating the 2009 H1N1 pandemic in China | Q30390831 | ||
| Media impact switching surface during an infectious disease outbreak | Q34975288 | ||
| A likelihood-based method for real-time estimation of the serial interval and reproductive number of an epidemic | Q37632771 | ||
| Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in South Korea, 2015: epidemiology, characteristics and public health implications. | Q38406135 | ||
| The basic reproduction number (R0) of measles: a systematic review | Q38652912 | ||
| History and recent advances in coronavirus discovery | Q47663346 | ||
| MSJAMA. Mathematical models of isolation and quarantine. | Q51640334 | ||
| Modelling strategies for controlling SARS outbreaks. | Q51984430 | ||
| Developing WHO guidelines: Time to formally include evidence from mathematical modelling studies. | Q52646536 | ||
| Epidemic Models of Contact Tracing: Systematic Review of Transmission Studies of Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome | Q64244578 | ||
| Outbreak of Pneumonia of Unknown Etiology in Wuhan China: the Mystery and the Miracle | Q82839925 | ||
| Pneumonia of Unknown Etiology in Wuhan, China: Potential for International Spread Via Commercial Air Travel | Q82840590 | ||
| The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health - The latest 2019 novel coronavirus outbreak in Wuhan, China | Q83388131 | ||
| Coronaviruses: genome structure, replication, and pathogenesis | Q83500389 | ||
| Preparedness and proactive infection control measures against the emerging Wuhan coronavirus pneumonia in China | Q83509075 | ||
| China coronavirus: cases surge as official admits human to human transmission | Q83547339 | ||
| Middle East Respiratory Syndrome Coronavirus Transmission | Q83547429 | ||
| Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany | Q84106604 | ||
| Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia | Q84108313 | ||
| Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak | Q86736080 | ||
| Severe Acute Respiratory Syndrome: Historical, Epidemiologic, and Clinical Features | Q91021600 | ||
| A Comparative Analysis of Factors Influencing Two Outbreaks of Middle Eastern Respiratory Syndrome (MERS) in Saudi Arabia and South Korea | Q91808739 | ||
| New SARS-like virus in China triggers alarm | Q92711023 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 2 | |
| P921 | main subject | SARS-CoV-2 | Q82069695 |
| SARS-CoV-2 transmission | Q84109991 | ||
| COVID-19 | Q84263196 | ||
| transmission of COVID-19 | Q98456223 | ||
| P577 | publication date | 2020-02-07 | |
| P1433 | published in | Journal of Clinical Medicine | Q27724774 |
| P1476 | title | Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions | |
| P478 | volume | 9 |
| Q92102749 | 2019 Novel coronavirus (COVID-19) overview |
| Q96303899 | A quantitative and qualitative analysis of the COVID-19 pandemic model |
| Q98568574 | A retrospective analysis of the dynamic transmission routes of the COVID-19 in mainland China |
| Q87461382 | An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov) |
| Q94586146 | Approaching Otolaryngology Patients During the COVID-19 Pandemic |
| Q89895763 | Assessing the Impact of Reduced Travel on Exportation Dynamics of Novel Coronavirus Infection (COVID-19) |
| Q95602296 | COVID-19 data analysis and modeling in Palestine |
| Q99207925 | COVID-19 in Children: Clinical Characteristics and Follow-Up Study |
| Q90744942 | COVID-19: what has been learned and to be learned about the novel coronavirus disease |
| Q98568309 | China's practice to prevent and control COVID-19 in the context of large population movement |
| Q96647368 | Coronavirus Disease 2019 (COVID-19) in Neonates and Children From China: A Review |
| Q101403251 | Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography |
| Q90707532 | Early in the epidemic: impact of preprints on global discourse about COVID-19 transmissibility |
| Q98571055 | Effects of Latency on Estimates of the COVID-19 Replication Number |
| Q98291569 | Effects of policies and containment measures on control of COVID-19 epidemic in Chongqing |
| Q97529870 | Emerging coronavirus diseases and future perspectives |
| Q96162922 | Emerging study on the transmission of the Novel Coronavirus (COVID-19) from urban perspective: Evidence from China |
| Q99629553 | Epidemic model of COVID-19 outbreak by inducing behavioural response in population |
| Q99635695 | Epidemiologic, clinical, and laboratory findings of the COVID-19 in the current pandemic: systematic review and meta-analysis |
| Q89975810 | Epidemiological Identification of A Novel Pathogen in Real Time: Analysis of the Atypical Pneumonia Outbreak in Wuhan, China, 2019-2020 |
| Q96647505 | Epidemiological Trends of Coronavirus Disease 2019 in China |
| Q91659459 | Epidemiological and Clinical Aspects of COVID-19; a Narrative Review |
| Q87369504 | Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19 |
| Q90268285 | Estimating the reproductive number and the outbreak size of Novel Coronavirus disease (COVID-19) using mathematical model in Republic of Korea |
| Q95924762 | Estimation of the time-varying reproduction number of COVID-19 outbreak in China |
| Q93223590 | Evaluation and prediction of the COVID-19 variations at different input population and quarantine strategies, a case study in Guangdong province, China |
| Q96647457 | Evaluation of the Secondary Transmission Pattern and Epidemic Prediction of COVID-19 in the Four Metropolitan Areas of China |
| Q96308456 | Focus on a 2019-novel coronavirus (SARS-CoV-2) |
| Q95319245 | Forecasting COVID-19-Associated Hospitalizations under Different Levels of Social Distancing in Lombardy and Emilia-Romagna, Northern Italy: Results from an Extended SEIR Compartmental Model |
| Q99707658 | Global convergence of COVID-19 basic reproduction number and estimation from early-time SIR dynamics |
| Q94548912 | How to ventilate during CPR in time of Covid-19? |
| Q97589340 | Impact of delays on effectiveness of contact tracing strategies for COVID-19: a modelling study |
| Q94553202 | Implementation of Clinical Diagnostic Criteria and Universal Symptom Survey Contributed to Lower Magnitude and Faster Resolution of the COVID-19 Epidemic in Wuhan |
| Q99239858 | Largest democracy in the world crippled by COVID-19: current perspective and experience from India |
| Q88973760 | Machine intelligence design of 2019-nCoV drugs |
| Q94458085 | Management of dysphagia in the patient with head and neck cancer during COVID-19 pandemic: Practical strategy |
| Q99631904 | Mass Infection Analysis of COVID-19 Using the SEIRD Model in Daegu-Gyeongbuk of Korea from April to May, 2020 |
| Q99240391 | Mathematical modeling for infectious viral disease: The COVID-19 perspective |
| Q98159789 | Mathematical models for COVID-19: applications, limitations, and potentials |
| Q99578871 | Modeling and forecasting the spread tendency of the COVID-19 in China |
| Q95262696 | Modeling the impact of mass influenza vaccination and public health interventions on COVID-19 epidemics with limited detection capability |
| Q94547929 | Modeling the trend of coronavirus disease 2019 and restoration of operational capability of metropolitan medical service in China: a machine learning and mathematical model-based analysis |
| Q92253352 | Occurrence of occult hepatitis B virus infection associated with envelope protein mutations according to anti-HBs carriage in blood donors |
| Q95290598 | Optimal policies for control of the novel coronavirus (COVID-19) |
| Q90048086 | Optimization Method for Forecasting Confirmed Cases of COVID-19 in China |
| Q91832035 | Phase- and epidemic region-adjusted estimation of the number of coronavirus disease 2019 cases in China |
| Q87461299 | Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China |
| Q97412415 | Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia |
| Q93271574 | Prediction of numbers of the accumulative confirmed patients (NACP) and the plateau phase of 2019-nCoV in China |
| Q99634700 | Psychological Impact of COVID-19 and Lockdown among University Students in Malaysia: Implications and Policy Recommendations |
| Q96163059 | Quantifying the role of social distancing, personal protection and case detection in mitigating COVID-19 outbreak in Ontario, Canada |
| Q91725707 | Quarantine alone or in combination with other public health measures to control COVID-19: a rapid review |
| Q97520618 | Retrospective Analysis of 2019-nCov-Infected Cases in Dongyang, Southeastern China |
| Q91864089 | Serological immunochromatographic approach in diagnosis with SARS-CoV-2 infected COVID-19 patients |
| Q89875540 | Six weeks into the 2019 coronavirus disease (COVID-19) outbreak- it is time to consider strategies to impede the emergence of new zoonotic infections |
| Q97074428 | Spread and Impact of COVID-19 in China: A Systematic Review and Synthesis of Predictions From Transmission-Dynamic Models |
| Q93258120 | Statistical and network analysis of 1212 COVID-19 patients in Henan, China |
| Q99637379 | The Covid-19 outbreak in Spain. A simple dynamics model, some lessons, and a theoretical framework for control response |
| Q90328430 | The SARS-CoV-2 outbreak: what we know |
| Q96226390 | The effect of large-scale anti-contagion policies on the COVID-19 pandemic |
| Q98733474 | The geography of COVID-19 spread in Italy and implications for the relaxation of confinement measures |
| Q87000965 | The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2 |
| Q94672366 | Time series modelling to forecast the confirmed and recovered cases of COVID-19 |
| Q97419327 | Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data- and model-driven study |
| Q102071941 | Trends of 2019-nCoV in South Asian Countries and Prediction of the Epidemic Peaks |
| Q90393941 | Understanding Unreported Cases in the COVID-19 Epidemic Outbreak in Wuhan, China, and the Importance of Major Public Health Interventions |
| Q94563330 | Using the contact network model and Metropolis-Hastings sampling to reconstruct the COVID-19 spread on the "Diamond Princess" |
| Q96643969 | When science goes viral: The research response during three months of the COVID-19 outbreak |
| Q99634117 | When to lift the lockdown in Hubei province during COVID-19 epidemic? An insight from a patch model and multiple source data |
| Q91913166 | Why is it difficult to accurately predict the COVID-19 epidemic? |
| Q97636638 | Why lockdown? Why national unity? Why global solidarity? Simplified arithmetic tools for decision-makers, health professionals, journalists and the general public to explore containment options for the 2019 novel coronavirus |
Search more.