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| 1 | Phenomenon of domination of the strongest contacts in centric occlusion显示文摘 | Fihchev AD Kalachev YS | 2008 | Quintessence Int2008，39，3： | 1 |
| 2 | Phenomenon of domination of the strongest contacts in centric occlusion 显示文摘 | Filtchev AD Kalachev YS | 2008 | Quintessence Int2008，39，3： | 1 |
| 3 | Phenomenon of domination of thestrongest contacts in centric occlusion显示文摘 | Filtchev AD Kalachev YS | 2008 | Quintessence Int2008，39，3： | 1 |
| 4 | Dissociation of hydrogen sulfide in a mixture with carbon dioxide gas in a high-power microwave discharge显示文摘 | Bagautdinov A Z Zhivotov V K Kalachev I A | | 0，，04： | 1 |
| 5 | Coherent control of collective spontaneous emission in an extended atomic ensemble and quantum storage显示文摘 | A Kalachev S Kroll | 2006 | Physical Review A2006，74，2： | 1 |
| 6 | Manipulation and overstretching of genes on solid substrates 显示文摘 | SEVERIN N BARNER J KALACHEV A A RABE J P | 2004 | NanoLett2004，4，4： | 1 |
| 7 | Phenomenon of domination of the strongest contacts in centric occlusion 显示文摘 | Filtchev AD Kalachev YS | 2008 | Quintessence Int2008，39，3： | 1 |
| 8 | Heat transfer with rising and falling flows of water in tubes of small diameter at supercritical pressures 显示文摘 | Omatskiy A P Glushchenko L F Kalachev S I | 1971 | Thermal Engineering1971，18，： | 1 |
| 9 | Phenomenon of domination of the strongest contacts in centric occlusion显示文摘 | Filtchev AD Kalachev YS | 2008 | Quintessence Int2008，39，3： | 1 |
| 10 | Evaluation of the T-scan system in achieving functional masticatory balance 显示文摘 | Kalachev IS | 2005 | Folia Med (Plovdiv)2005，47，1： | 1 |
| 11 | The boundary function method for singular perturbation problems显示文摘 | VASIL'VA A B BUTUZOV V F KALACHEV L V | 1995 | Philadelphia: SIAM1995，，： | 1 |
| 12 | Investigation of long-period fiber gratings induced by high-intensity femtosecond UV laser pulses显示文摘 | Kalachev A I Pureur V Nikogosyan D N | 2005 | Optics Communications2005，246，： | 1 |
| 13 | Long-Period Fiber Grating Fabrication by high-Intensity Femtosecond Pulses at 211nm 显示文摘 | Kalachev A I Nikogosyan D N Brambilla G | 2005 | journal of LightwaveTechnology2005，23，8： | 1 |
| 14 | Long-period fiber grating fabrication by high-intensity femtosecond pulses at 211nm显示文摘 | Alexey I Kalachev David N Nikogosyan Fellow | 2005 | Journal of lightwave technology2005，23，8： | 1 |
| 15 | Phenomenon of domination of the strongest contacts in centric occlusion 显示文摘 | Filtchev AD Kalachev YS | 2008 | Quintessence International2008，39，3： | 1 |
| 16 | Facilited diffusion in immobilized liquid membrane: Experimental verification of the “jumping”mechanism and percolation threshold in membrane transport 显示文摘 | Kalachev A A K | 1992 | J Membr Sci1992，75，： | 1 |
| 17 | Facilitated diffusion in immobilized liquid membranes:experimental verification of the 'jumping'mechanism and percolation threshold in membrane transport显示文摘 | Kalachev AA Kardivarenko L M Plate N A | | 0，，1： | 1 |
| 18 | Evaluation of the T-scan system in achieving function- al masticatory balance 显示文摘 | Kalachev IS | 2005 | Folia Med (Plovdiv)2005，47，1： | 1 |
| 19 | Revisiting classical SIR modelling in light of the COVID-19 pandemic显示文摘Background:Classical infectious disease models during epidemics have widespread usage,from predicting the probability of new infections to developing vaccination plans for informing policy decisions and public health responses.However,it is important to correctly classify reported data and understand how this impacts estimation of model parameters.The COVID-19 pandemic has provided an abundant amount of data that allow for thorough testing of disease modelling assumptions,as well as how we think about classical infectious disease modelling paradigms.Objective:We aim to assess the appropriateness of model parameter estimates and preiction results in classical infectious disease compartmental modelling frameworks given available data types(infected,active,quarantined,and recovered cases)for situations where just one data type is available to fit the model.Our main focus is on how model prediction results are dependent on data being assigned to the right model compartment.Methods:We first use simulated data to explore parameter reliability and prediction capability with three formulations of the classical Susceptible-Infected-Removed(SIR)modelling framework.We then explore two applications with reported data to assess which data and models are sufficient for reliable model parameter estimation and prediction accuracy:a classical influenza outbreak in a boarding school in England and COVID-19 data from the fall of 2020 in Missoula County,Montana,USA.Results:We demonstrated the magnitude of parameter estimation errors and subsequent prediction errors resulting from data misclassification to model compartments with simulated data.We showed that prediction accuracy in each formulation of the classical disease modelling framework was largely determined by correct data classification versus misclassification.Using a classical example of influenza epidemics in an England boarding school,we argue that the Susceptible-Infected-Quarantined-Recovered(SIQR)model is more appropriate than the commonly employed SIR model given the data collected(number of active cases).Similarly,we show in the COVID-19 disease model example that reported active cases could be used inappropriately in the SIR modelling framework if treated as infected.Conclusions:We demonstrate the role of misclassification of disease data and thus the importance of correctly classifying reported data to the proper compartment using both simulated and real data.For both a classical influenza data set and a COVID-19 case data set,we demonstrate the implications of using the“right”data in the“wrong”model.The importance of correctly classifying reported data will have downstream impacts on predictions of number of infections,as well as minimal vaccination requirements. | Leonid Kalachev Erin L.Landguth Jon Graham | 2023 | Infectious Disease Modelling2023，8，1： | 0 |
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