Publications by authors named "Marija Zivkovic Gojovic"

Introduction: Few randomised controlled trials (RCTs) have directly compared long-acting muscarinic antagonist/long-acting β-agonist (LAMA/LABA) dual maintenance therapies for patients with chronic obstructive pulmonary disease (COPD). This systematic literature review and network meta-analysis (NMA) compared the efficacy of umeclidinium/vilanterol (UMEC/VI) versus other dual and mono-bronchodilator therapies in symptomatic patients with COPD.

Methods: A systematic literature review (October 2015-November 2020) was performed to identify RCTs ≥ 8 weeks long in adult patients with COPD that compared LAMA/LABA combinations against any long-acting bronchodilator-containing dual therapy or monotherapy.

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In response to the pandemic H1N1 influenza 2009 outbreak, many jurisdictions undertook mass immunization programs that were among the largest in recent history. The objective of this study was to determine the cost-effectiveness of the mass H1N1 immunization program in Ontario, Canada's most populous province (population 13,000,000). This analysis suggests that a mass immunization program as carried out in Ontario and many other high-income health care systems in response to H1N1 2009 was effective in preventing influenza cases and health care resource use and was also highly cost-effective despite the substantial program cost.

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This work contributes informed estimates to the current debate about the pandemic (H1N1) 2009 mass immunization program's economic merits. We performed a cost-utility analysis of the (H1N1) 2009 mass immunization program in Ontario, Canada's most populous province. The analysis is based on a simulation model of a pandemic (H1N1) 2009 outbreak, surveillance data, and administrative data.

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Background: The 2009 influenza A (H1N1) pandemic has required decision-makers to act in the face of substantial uncertainties. Simulation models can be used to project the effectiveness of mitigation strategies, but the choice of the best scenario may change depending on model assumptions and uncertainties.

Methods: We developed a simulation model of a pandemic (H1N1) 2009 outbreak in a structured population using demographic data from a medium-sized city in Ontario and epidemiologic influenza pandemic data.

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