Analysis of the mitigation strategies for COVID-19: From mathematical modelling perspective

Abstract

Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre-including this research content-immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

Modeling the effect of contaminated objects for the transmission dynamics of COVID-19 pandemic with self protection behavior changes

“…The awareness of individuals for applying these preventive mechanisms vary from region to region and from country to country. In some places, protective measures are employed by volunteer individuals while in some other places, governments impose some kind of rules on the population to use strict physical distancing and wearing face masks in public places [6] .…”

“…Understanding the virus dynamics and host response is essential in formulating strategies for antiviral treatment, vaccination, and epidemiological control of COVID-19 [8] . The analysis from mathematical models may assist decision-makers to estimate the risk and the potential future growth of the disease in the population [6] .…”

“…Behavior change towards using preventive mechanisms by the population to protect themselves from an infectious disease is assumed to be dependent on the way that the disease is transmitted and its fatality [18] . Individuals who have awareness about the disease and decided to use preventive mechanisms have less susceptibility than those without awareness and demonstrating the usual risky behavior [6] , [19] . In this paper, we propose a SEIRDM mathematical model for the transmission dynamics of COVID-19 by introducing a behavior change function.…”

Prediction and mathematical analysis of the outbreak of coronavirus (COVID-19) in Bangladesh

“…To analyse such event, compartmental models are ubiquitous in science [21] , [22] , [23] , [24] . The outbreak of COVID-19 that triggered the fact of defending infectious occurrence by means of mathematical modelling [25] , [26] , [27] . For reckoning [28] , models search are the centrepieces for the effective posterior enhancement of the disease [29] , [30] .…”

Coronavirus disease 2019 prevention, control and modelling metrics

“…The authors use an SEIR model, rather than the SEIRUS model, which has only rarely been reported in use with COVID-19–related modelling. 2 , 3 The earlier published analyses either accept that reinfection is unlikely for 4–12 months 2 or state that the chances of reinfection appear to be uncertain and possibly unlikely. 3 Given the reality that reinfection is unlikely in an early time frame (based on the observation that otherwise we would have had large numbers of reinfections being reported worldwide), it would have been of interest to see an analysis of ring-fencing symptomatic people with test-converted (recovered) individuals, rather than a full isolation, and for those exposed to infected cases, a similar modified quarantine.…”