2016
DOI: 10.7717/peerj.2337
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Evaluation of outbreak response immunization in the control of pertussis using agent-based modeling

Abstract: BackgroundPertussis control remains a challenge due to recently observed effects of waning immunity to acellular vaccine and suboptimal vaccine coverage. Multiple outbreaks have been reported in different ages worldwide. For certain outbreaks, public health authorities can launch an outbreak response immunization (ORI) campaign to control pertussis spread. We investigated effects of an outbreak response immunization targeting young adolescents in averting pertussis cases.MethodsWe developed an agent-based mode… Show more

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Cited by 10 publications
(3 citation statements)
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References 29 publications
(34 reference statements)
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“…Chickenpox vaccination parameters, such as those associated with primary vaccine failure and waning of vaccination immunity were derived from literature ( Gershon, Takahashi & Seward, 2012 ; Bonanni et al, 2013 ; Duncan et al, 2017 ). We built the mechanism whereby vaccine coverage was generated by our model based on distribution of vaccination probabilities and population vaccination attitudes as described by Doroshenko, Qian & Osgood (2016) . We classified all individuals into three groups: those who accept, reject and are hesitant to receive vaccination, and we assigned vaccination probabilities for each of these groups.…”
Section: Methodsmentioning
confidence: 99%
“…Chickenpox vaccination parameters, such as those associated with primary vaccine failure and waning of vaccination immunity were derived from literature ( Gershon, Takahashi & Seward, 2012 ; Bonanni et al, 2013 ; Duncan et al, 2017 ). We built the mechanism whereby vaccine coverage was generated by our model based on distribution of vaccination probabilities and population vaccination attitudes as described by Doroshenko, Qian & Osgood (2016) . We classified all individuals into three groups: those who accept, reject and are hesitant to receive vaccination, and we assigned vaccination probabilities for each of these groups.…”
Section: Methodsmentioning
confidence: 99%
“…The combination of discrete-event simulation and agentbased modelling is created in our work using the Anylogic tool. With this tool, several models have been created in different fields, for example for the analysis of power and performance of data centers [11], the outbreak response of immunization [4] and airport checkpoint pedestrian flow [8].…”
Section: Multi-model Approaches In Other Domainsmentioning
confidence: 99%
“…Together with pathogen-specific parameters, high-fidelity representations of such contact networks within transmission models [22] can enable a much higher resolution view of the process of a disease spreading than is possible with the random mixing assumptions required in compartmental models within the traditional susceptibleinfectious-recovered (SIR) family [19,20,24]. Such a view can support real-time identification early of outbreaks and an estimation of the attack rate, as well as retrospective evaluation and assessment of improved effectiveness of altered vaccine schedules, aid in planning of interventions such as outbreak response immunization [25], public health orders and quarantine, and support assessment of the impact of the scope, speed, and breadth of contact tracing [26]. Transmission models structured with a detailed contact network aid inferencing of population-scale effects from individual-level behavior of infections by enabling characterization of the transmission of contagious diseases over the close-proximity contacts shaping outbreak dynamics [22,27].…”
Section: Introductionmentioning
confidence: 99%