Featured Post from Aston University

Antimicrobial resistance now causes more deaths than HIV/AIDS and malaria worldwide – new study

Jan 24, 2022

3 min

Dr Jonathan A. G. Cox



Antimicrobial resistance is spreading rapidly worldwide, and has even been likened to the next pandemic – one that many people may not even be aware is happening. A recent paper, published in Lancet, has revealed that antimicrobial resistant infections caused 1.27 millions deaths and were associated with 4.95 million deaths in 2019. This is greater than the number of people who died from HIV/AIDS and malaria that year combined.


Antimicobial resistance happens when infection-causing microbes (such as bacteria, viruses or fungi) evolve to become resistant to the drug designed to kill them. This means than an antibiotic will no longer work to treat that infection anymore.


The new findings makes it clear that antimicrobial resistance is progressing faster than the previous worst-case scenario estimates – which is of concern for everyone. The simple fact is that we’re running out of antibiotics that work. This could mean everyday bacterial infections become life-threatening again.


While antimicrobial resistance has been a problem since penicillin was discovered in 1928, our continued exposure to antibiotics has enabled bacteria and other pathogens to evolve powerful resistance. In some cases, these microbes are resistant even to multiple different drugs. This latest study now shows the current scale of this problem globally – and the harm it’s causing.


Global problem

The study involved 204 countries around the world, looking at data from 471 million individual patient records. By looking at deaths due to and associated with antimicrobial resistance, the team was then able to estimate the impact antimicrobial resistance had in each country.


Antimicrobial resistance was directly responsible for an estimated 1.27 million deaths worldwide and was associated with an estimated 4.95 millions deaths. In comparison, HIV/AIDS and malaria were estimated to have caused 860,000 and 640,000 deaths respectively the same year. The researchers also found that low- and middle-income countries were worst hit by antimicrobial resistance – although higher income countries also face alarmingly high levels.


They also found that of the 23 different types of bacteria studied, drug resistance in only six types of bacteria contributed to 3.57 million deaths. The report also shows that 70% of deaths that resulted from antimicrobial resistance were caused by resistance to antibiotics often considered the first line of defence against severe infections. These included beta-lactams and fluoroquinolones, which are commonly prescribed for many infections, such as urinary tract, upper- and lower-respiratory and bone and joint infections.



This study highlights a very clear message that global antimicrobial resistance could make everyday bacterial infections untreatable. By some estimates, antimicrobial resistance could cause 10 million deaths per year by 2050. This would overtake cancer as a leading cause of death worldwide.


Next pandemic


Bacteria can develop antimicrobial resistance in a number of ways.


First, bacteria develop antimicrobial resistance naturally. It’s part of the normal push and pull observed throughout the natural world. As we get stronger, bacteria will get stronger too. It’s part of our co-evolution with bacteria – they’re just quicker at evolving than we are, partly because they replicate faster and get more genetic mutations than we do.


But the way we use antibiotics can also cause resistance.


For example, one common cause is if people fail to complete a course of antibiotics. Although people may feel better a few days after starting antibiotics, not all bacteria are made equal. Some may be slower to be affected by the antibiotic than others. This means that if you stop taking the antibiotic early, the bacteria that were initially able to avoid the effect of the antibiotics will be able to multiply, thus passing their resistance on.

Connect with:
Dr Jonathan A. G. Cox

Dr Jonathan A. G. Cox

Lecturer in Microbiology

Dr Cox's research interests surround the discovery of new antibiotics & identifying the mechanisms by which those antibiotics kill bacteria.

Health SciencesBiochemistryAntibioticsAntimicrobial ResistanceMicro-Organisms

You might also like...

Check out some other posts from Aston University

5 min

Decoding the Future of AI: From Disruption to Democratisation and Beyond

The global AI landscape has become a melting pot for innovation, with diverse thinking pushing the boundaries of what is possible. Its application extends beyond just technology, reshaping traditional business models and redefining how enterprises, governments, and societies operate. Advancements in model architectures, training techniques and the proliferation of open-source tools are lowering barriers to entry, enabling organisations of all sizes to develop competitive AI solutions with significantly fewer resources. As a result, the long-standing notion that AI leadership is reserved for entities with vast computational and financial resources is being challenged. This shift is also redrawing the global AI power balance, with a decentralised approach to AI where competition and collaboration coexist across different regions. As AI development becomes more distributed, investment strategies, enterprise innovation and global technological leadership are being reshaped. However, established AI powerhouses still wield significant leverage, driving an intense competitive cycle of rapid innovation. Amid this acceleration, it is critical to distinguish true technological breakthroughs from over-hyped narratives, adopting a measured, data-driven approach that balances innovation with demonstrable business value and robust ethical AI guardrails. Implications of the Evolving AI Landscape The democratisation of AI advancements, intensifying competitive pressures, the critical need for efficiency and sustainability, evolving geopolitical dynamics and the global race for skilled talent are all fuelling the development of AI worldwide. These dynamics are paving the way for a global balance of technological leadership. Democratisation of AI Potential The ability to develop competitive AI models at lower costs is not only broadening participation but also reshaping how AI is created, deployed and controlled. Open-source AI fosters innovation by enabling startups, researchers, and enterprises to collaborate and iterate rapidly, leading to diverse applications across industries. For example, xAI has made a significant move in the tech world by open sourcing its Grok AI chatbot model, potentially accelerating the democratisation of AI and fostering innovation. However, greater accessibility can also introduce challenges, including risks of misuse, uneven governance, and concerns over intellectual property. Additionally, as companies strategically leverage open-source AI to influence market dynamics, questions arise about the evolving balance between open innovation and proprietary control. Increased Competitive Pressure The AI industry is fuelled by a relentless drive to stay ahead of the competition, a pressure felt equally by Big Tech and startups. This is accelerating the release of new AI services, as companies strive to meet growing consumer demand for intelligent solutions. The risk of market disruption is significant; those who lag, face being eclipsed by more agile players. To survive and thrive, differentiation is paramount. Companies are laser-focused on developing unique AI capabilities and applications, creating a marketplace where constant adaptation and strategic innovation are crucial for success. Resource Optimisation and Sustainability The trend toward accessible AI necessitates resource optimisation, which means developing models with significantly less computational power, energy consumption and training data. This is not just about cost; it is crucial for sustainability. Training large AI models is energy-intensive; for example, training GPT-3, a 175-billion-parameter model, is believed to have consumed 1,287 MWh of electricity, equivalent to an average American household’s use over 120 years1. This drives innovation in model compression, transfer learning, and specialised hardware, like NVIDIA’s TensorRT. Small language models (SLMs) are a key development, offering comparable performance to larger models with drastically reduced resource needs. This makes them ideal for edge devices and resource-constrained environments, furthering both accessibility and sustainability across the AI lifecycle. Multifaceted Global AI Landscape The global AI landscape is increasingly defined by regional strengths and priorities. The US, with its strength in cloud infrastructure and software ecosystem, leads in “short-chain innovation”, rapidly translating AI research into commercial products. Meanwhile, China excels in “long-chain innovation”, deeply integrating AI into its extended manufacturing and industrial processes. Europe prioritises ethical, open and collaborative AI, while the APAC counterparts showcase a diversity of approaches. Underlying these regional variations is a shared trajectory for the evolution of AI, increasingly guided by principles of responsible AI: encompassing ethics, sustainability and open innovation, although the specific implementations and stages of advancement differ across regions. The Critical Talent Factor The evolving AI landscape necessitates a skilled workforce. Demand for professionals with expertise in AI and machine learning, data analysis, and related fields is rapidly increasing. This creates a talent gap that businesses must address through upskilling and reskilling initiatives. For example, Microsoft has launched an AI Skills Initiative, including free coursework and a grant program, to help individuals and organisations globally develop generative AI skills. What does this mean for today’s enterprise? New Business Horizons AI is no longer just an efficiency tool; it is a catalyst for entirely new business models. Enterprises that rethink their value propositions through AI-driven specialisation will unlock niche opportunities and reshape industries. In financial services, for example, AI is fundamentally transforming operations, risk management, customer interactions, and product development, leading to new levels of efficiency, personalisation and innovation. Navigating AI Integration and Adoption Integrating AI is not just about deployment; it is about ensuring enterprises are structurally prepared. Legacy IT architectures, fragmented data ecosystems and rigid workflows can hinder the full potential of AI. Organisations must invest in cloud scalability, intelligent automation and agile operating models to make AI a seamless extension of their business. Equally critical is ensuring workforce readiness, which involves strategically embedding AI literacy across all organisational functions and proactively reskilling talent to collaborate effectively with intelligent systems. Embracing Responsible AI Ethical considerations, data security and privacy are no longer afterthoughts but are becoming key differentiators. Organisations that embed responsible AI principles at the core of their strategy, rather than treating them as compliance check boxes, will build stronger customer trust and long-term resilience. This requires proactive bias mitigation, explainable AI frameworks, robust data governance and continuous monitoring for potential risks. Call to Action: Embracing a Balanced Approach The AI revolution is underway. It demands a balanced and proactive response. Enterprises must invest in their talent and reskilling initiatives to bridge the AI skills gap, modernise their infrastructure to support AI integration and scalability and embed responsible AI principles at the core of their strategy, ensuring fairness, transparency and accountability. Simultaneously, researchers must continue to push the boundaries of AI’s potential while prioritising energy efficiency and minimising environmental impact; policymakers must create frameworks that foster responsible innovation and sustainable growth. This necessitates combining innovative research with practical enterprise applications and a steadfast commitment to ethical and sustainable AI principles. The rapid evolution of AI presents both an imperative and an opportunity. The next chapter of AI will be defined by those who harness its potential responsibly while balancing technological progress with real-world impact. Resources Sudhir Pai: Executive Vice President and Chief Technology & Innovation Officer, Global Financial Services, Capgemini Professor Aleks Subic: Vice-Chancellor and Chief Executive, Aston University, Birmingham, UK Alexeis Garcia Perez: Professor of Digital Business & Society, Aston University, Birmingham, UK Gareth Wilson: Executive Vice President | Global Banking Industry Lead, Capgemini 1 https://www.datacenterdynamics.com/en/news/researchers-claim-they-can-cut-ai-training-energy-demands-by-75/?itm_source=Bibblio&itm_campaign=Bibblio-related&itm_medium=Bibblio-article-related

3 min

Aston University’s Professor Ian Maidment to contribute to UK’s first long COVID antiviral drug trials

The £1.25m study, being led by the University of Derby, is trialling antiviral medications as a treatment for symptoms of long COVID Professor Ian Maidment from Aston Pharmacy School is the lead pharmacist and will provide support for the clinical trials It is estimated that more than 2m people in the UK and more than 144m globally live with long COVID Professor Ian Maidment, at Aston Pharmacy School, is the lead pharmacist on a groundbreaking research project looking to find a treatment for symptoms of long COVID, which is being led by the University of Derby. The £1.25m trial, which is the first of its kind in the UK, is exploring whether antiviral medications can be used as an effective treatment option for patients diagnosed with long COVID. It is estimated that more than 2m people in the UK and more than 144m globally live with long COVID and almost a quarter of sufferers have had their symptoms for more than two years. Symptoms are broad and include extreme fatigue and breathlessness, palpitations, and brain fog. The trial, which began in September 2024, is part of a wider programme of groundbreaking research being led by the University of Derby. Involving 72 patients, the research is trialling the use of an antiviral drug that can be given to those admitted to hospital because of a COVID-19 infection. As most people experience a community infection and are not hospitalised, they do not have a way to access this medication. By taking the drug out of the acute admission setting, the researchers are hoping to see whether it can help those living with long COVID and alleviate some of the symptoms that they are living with. During the trial, patients undergo a series of assessments at the University of Derby’s specialist facilities before attending the hospital to receive the antiviral drug intravenously for five consecutive days, delivered in collaboration with experts from University Hospitals of Derby and Burton NHS Foundation Trust. Researchers from the University of Exeter are also involved, and the study is being managed by the University of Plymouth’s Peninsula Clinical Trials Unit. Professor Maidment will provide support for the clinical trials. Patients recruited in Exeter will undertake detailed body scans, which will be analysed to check if the antiviral medication has reduced inflammation, which may occur in people with long COVID. Mark Faghy, professor in clinical exercise science at the University of Derby and the study lead, said: “The impact long COVID has on the lives of patients is huge. For many, it can be debilitating, interfering with work, family life, and socialising, and millions are suffering across the world. Yet, at present, there are no confirmed treatments for the condition. Five years on from the start of the pandemic, long COVID remains a significant health and societal challenge, which is why this project is so important. “This is an ongoing project with various phases and is still in its infancy, but we are excited to have taken the first steps to hopefully improve the quality of life for those living with long COVID.” Professor David Strain, clinical lead based at the University of Exeter Medical School, said: “There is a clear need for people living with long COVID and we hope from this study we can see a reduction in the symptoms people experience. It will be an ongoing project with various phases, but we are excited to be taking the first steps to improve patients' quality of life.” Professor Ian Maidment, Aston Pharmacy School, said: “We need clinical trials to develop new and effective treatments for long COVID. Pharmacy support is critical for the successful delivery of these studies.” Over the past four years, Professor Faghy and his team at the University of Derby have conducted a series of international studies to explore the impacts of acute and long COVID, looking to understand the causes and contributing factors of long COVID by bringing clinical insight together with the lived experience of patients.

3 min

Myanmar’s earthquake crisis demands international humanitarian intervention - before it’s too late

We are at a crossroads. Will the international community intervene in Myanmar to save lives, or will it once again retreat into silence until it is too late? In the shadow of disaster, silence is complicity. The devastating earthquake that recently struck Myanmar, registering a magnitude of 7.7 and claiming over a thousand lives with the potential for fatalities to rise into the tens of thousands, is far more than a natural calamity - it is a preventable humanitarian catastrophe. The international community must confront a difficult question: How many more lives must be lost before the world steps in? As someone who has studied disaster governance for over two decades, I can say with a heavy heart that what we are witnessing in Myanmar is a textbook case of systemic failure - of national crisis management, of international humanitarian coordination and, most disturbingly, of disaster diplomacy. A Crisis Exacerbated by Inaction The situation on the ground is dire. Entire villages lie in ruins across Shan State and Mandalay. Liquefaction, caused by the shifting of tectonic plates, has turned many areas into unstable wetlands, with water seeping through the ground continuously. With countless bodies left unrecovered and proper sanitation systems overwhelmed, the risk of cholera and other waterborne diseases looms large. In past disasters - be it Haiti in 2010, Nepal in 2015 or the Turkey-Syria earthquake of 2023 - we saw the tragic consequences of slow and politicised humanitarian responses. But Myanmar’s case is uniquely perilous. The country is not only facing a natural disaster but also the aftermath of years of civil conflict, military rule and geopolitical paralysis. The ruling junta’s statements and figures are unreliable at best and disinformation is hampering coordinated international support. When Aid Needs Armour The reality is that humanitarian intervention in Myanmar now requires more than blankets and bottled water - it needs boots on the ground. Given the multiplicity of armed rebel groups and the entrenched conflict dynamics, any aid convoy risks becoming a pawn in a larger power struggle. We need an international peacekeeping force, mandated strictly for humanitarian purposes, to ensure safe and unfettered access to affected populations. This must be a neutral, apolitical force, equipped to operate in a complex, high-risk environment - not to take sides, but to protect lives. Without such security guarantees, humanitarian agencies cannot function, and the crisis will evolve into famine, mass migration, and possibly regional instability across Southeast Asia. A Crisis of Leadership The United Nations, ASEAN, WHO and other key global institutions have yet again fallen short of timely action. The ineffectiveness of their response should prompt a critical reevaluation of their governance structures and crisis leadership models. The deeper issue is not just logistical - it’s moral. In the absence of strong, scientifically-informed and transparent leadership, international aid becomes another layer of dysfunction. We need a new generation of disaster governance professionals - leaders trained not only in logistics and law, but in negotiation, ethics and diplomacy. The Cost of Indifference Myanmar’s crisis will not remain confined within its borders. Already, we are seeing early signs of mass displacement towards India, Thailand and Bangladesh. If left unchecked, these flows will eventually extend to Europe, the UK and beyond, burdening an already overstretched global refugee system. The longer we delay, the greater the consequences - not just for Myanmar, but for the world. A Call for Science, Transparency and Regional Solidarity As academics and practitioners in the field of Disaster Risk Reduction (DRR), we must hold ourselves to the highest standard of integrity. DRR in regions like South and Southeast Asia must be built on inclusive science, open data, regional collaboration and local knowledge. Taiwan and Singapore offer examples of how early warning systems and data transparency can save lives - why aren't we replicating these models more widely? If this disaster teaches us anything, it is that sovereignty cannot be used as a shield for inaction. A disaster of this magnitude transcends politics. It is a test of our global conscience.

View all posts
Powered by