COVID-19 vaccine capacity: Challenges and mitigation - The DCVMN perspective

Sustainable vaccine manufacturing in low- and middle-Income countries

The sustainable manufacturing of vaccines in developing countries is critical to increasing equitable access to vaccines and pandemic preparedness globally. Sustainable manufacturing requires that organizations engaged in the development, production and supply of vaccines have viable business models and incentives to manufacture vaccine products. The expanding manufacturing capabilities and capacities of developing countries vaccine manufacturers (DCVMs) are increasingly positioning these organizations to meet the national and regional public health needs in developing countries; however, key industry challenges such as regulatory barriers, low prices and demand uncertainty for vaccine products, and limited R&D funding threaten the long-term viability of vaccine manufacturers. This study assesses the technical capabilities, manufacturing capacities, and aspirational plans of DCVMs, exemplifying the business models and strategies undertaken to sustainably manufacture vaccines in developing countries. The public health importance of a healthy vaccine industry which enables manufacturers is discussed throughout. Vaccine manufacturers reported diverse product portfolios and R&D pipelines and utilized an array of vaccine technology platforms. Large manufacturing capacities were reported, a critical factor in manufacturers achieving economies of scale and supplying large volumes of vaccine doses to the world's most populous regions. Partnerships and collaboration within the industry and with international organizations along the vaccine value-chain were cited with high frequency. Manufacturers also reported aspirational plans to enter new markets, acquire new technologies and invest in the development of novel and improved vaccines. As DCVMs aim to have an increasing impact on the global vaccine ecosystem, a coordinated multi-stakeholder approach is required alleviate critical industry barriers to ensure that all efforts produce vaccines are sustainable and enable developing countries to realize the public health benefit of vaccines.

Maximizing mRNA vaccine production with Bayesian optimization

Messenger RNA (mRNA) vaccines are a new alternative to conventional vaccines with a prominent role in infectious disease control. These vaccines are produced in in vitro transcription (IVT) reactions, catalyzed by RNA polymerase in cascade reactions. To ensure an efficient and cost-effective manufacturing process, essential for a large-scale production and effective vaccine supply chain, the IVT reaction needs to be optimized. IVT is a complex reaction that contains a large number of variables that can affect its outcome. Traditional optimization methods rely on classic Design of Experiments methods, which are time-consuming and can present human bias or based on simplified assumptions. In this contribution, we propose the use of Machine Learning approaches to perform a data-driven optimization of an mRNA IVT reaction. A Bayesian optimization method and model interpretability techniques were used to automate experiment design, providing a feedback loop. IVT reaction conditions were found under 60 optimization runs that produced 12 g · L-1 in solely 2 h. The results obtained outperform published industry standards and data reported in literature in terms of both achievable reaction yield and reduction of production time. Furthermore, this shows the potential of Bayesian optimization as a cost-effective optimization tool within (bio)chemical applications.

A LAG-based framework to overcome the challenges of the sustainable vaccine supply chain: an integrated BWM–MARCOS approach

Purpose

Each individual needs to be vaccinated to control the spread of the COVID-19 pandemic in the shortest possible time. However, the vaccine distribution with an already strained supply chain in low- and middle-income countries (LMICs) will not be effective enough to vaccinate all the population in stipulated time. The purpose of this paper is to show that there is a need to revolutionize the vaccine supply chain (VSC) by overcoming the challenges of sustainable vaccine distribution.

Design/methodology/approach

An integrated lean, agile and green (LAG) framework is proposed to overcome the challenges of the sustainable vaccine supply chain (SVSC). A hybrid best worst method (BWM)–Measurement of Alternatives and Ranking According to COmpromise Solution (MARCOS) methodology is designed to analyze the challenges and solutions.

Findings

The analysis shows that vaccine wastage is the most critical challenge for SVSC, and the coordination among stakeholders is the most significant solution followed by effective management support.

Social implications

The result of the analysis can help the health care organizations (HCOs) to manage the VSC. The effective vaccination in stipulated time will help control the further spread of the virus, which will result in the normalcy of business and availability of livelihood for millions of people.

Originality/value

To the best of the author's knowledge, this is the first study to explore sustainability in VSC by considering the environmental and social impact of vaccination. The LAG-based framework is also a new approach in VSC to find the solution for existing challenges.