Pages that link to "Item:Q2245885"

The following pages link to Transmission dynamics and control methodology of COVID-19: a modeling study (Q2245885):

Displaying 32 items.

• Model the transmission dynamics of COVID-19 propagation with public health intervention (Q831405) (← links)
• An epidemic model integrating direct and fomite transmission as well as household structure applied to COVID-19 (Q1980867) (← links)
• Evaluation of prevention and control interventions and its impact on the epidemic of coronavirus disease 2019 in Chongqing and Guizhou provinces (Q2038648) (← links)
• Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, China (Q2038667) (← links)
• A mathematical model for the novel coronavirus epidemic in Wuhan, China (Q2050057) (← links)
• Socially structured model for COVID-19 pandemic: design and evaluation of control measures (Q2064991) (← links)
• Global stability and analysing the sensitivity of parameters of a multiple-susceptible population model of SARS-CoV-2 emphasising vaccination drive (Q2079372) (← links)
• Optimal control and cost-effectiveness analysis of a new COVID-19 model for omicron strain (Q2088236) (← links)
• Stability analysis of a model of epidemic dynamics with nonlinear feedback producing recurrent infection waves (Q2106086) (← links)
• New investigation of bats-hosts-reservoir-people coronavirus model and application to 2019-nCoV system (Q2114271) (← links)
• Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan (Q2120641) (← links)
• Modeling and forecasting the spread tendency of the COVID-19 in China (Q2124960) (← links)
• Mathematical analysis of spread and control of the novel corona virus (COVID-19) in China (Q2128122) (← links)
• Corrigendum to ``Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan'' (Q2128133) (← links)
• An SIHR epidemic model of the COVID-19 with general population-size dependent contact rate (Q2132234) (← links)
• Biomodeling for controlling the spread of Coronavirus 2019 (Q2138535) (← links)
• Controlling multiple COVID-19 epidemic waves: an insight from a multi-scale model linking the behaviour change dynamics to the disease transmission dynamics (Q2168358) (← links)
• A data-driven network model for the emerging COVID-19 epidemics in Wuhan, Toronto and Italy (Q2197758) (← links)
• Comparison of effectiveness of enhanced infection countermeasures in different scenarios, using a dynamic-spread-function model (Q2688616) (← links)
• Transmission dynamics and high infectiousness of coronavirus disease 2019 (Q2699524) (← links)
• Contact rate epidemic control of COVID-19: an equilibrium view (Q5001297) (← links)
• The COVID-19 Pandemic Evolution in Hawai‘i and New Jersey: A Lesson on Infection Transmissibility and the Role of Human Behavior (Q5049734) (← links)
• Transmission Dynamics and Quarantine Control of COVID-19 in Cluster Community (Q5049741) (← links)
• COVID Transmission Modeling (Q5086655) (← links)
• Modeling the Control of COVID-19: Impact of Policy Interventions and Meteorological Factors (Q5118078) (← links)
• The computational method of the basic reproduction number of COVID-19 by data-driven (Q5127694) (← links)
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• Mathematical modeling and assessment of barrier measures and temperature on the transmission and persistence of Novel coronavirus disease 2019 (COVID-19) (Q5865990) (← links)
• Modeling the transmission of second‐wave COVID‐19 caused by imported cases: A case study (Q6087657) (← links)
• Study on the virulence evolution of SARS‐CoV‐2 and the trend of the epidemics of COVID‐19 (Q6091735) (← links)
• Modeling the competitive transmission of the Omicron strain and delta strain of COVID-19 (Q6110826) (← links)