Skip to main content

Changes in Covid-19 Tiers in England

After a period from Mid-November onwards in which the number of people with a positive Covid-19 test in the UK declined, in recent days we have unfortunately seen a rise in Covid-19 cases, with over 25,000 cases reported in the UK on 16 December. This rise in case numbers has been particularly high in parts of London and South-East England, leading to more areas of England being placed in Tier 3. 

Despite the enthusiasm and optimism generated by the Covid-19 vaccination programme, the number of people being vaccinated is well-below the level needed to start to reduce infection rates in the community. Without a very rapid escalation in the Covid-19 vaccination programme, which in turn depends on very quickly obtaining a much large supply of vaccines than we have available now, it will be sometime (perhaps several months, depending on vaccine availability) before enough people in England and elsewhere in the UK are vaccinated to have an impact on Covid-19 infection rates. 

For the time being, therefore, it’s essential that people follow the local Covid-19 rules for the area where they live. In particular, mixing indoors with people from other households should be avoided as the risk of infection in substantially higher in crowded, indoor spaces where ventilation is poor. 

Everyone should be mindful of older friends, relatives and social contacts; and those with long-term medical problems. These groups are at the highest risk of serious illness and death if they contract Covid-19 and should be very cautious in their interactions indoors with people not from their immediate household.

Although everyone wants to enjoy Christmas, it’s essential that infection control measures and local Covid-19 rules are followed during the holidays to protect yourself and others, and to relieve pressure on the NHS.

Comments

Popular posts from this blog

What is the difference between primordial prevention and primary prevention?

Primordial prevention and primary prevention are both crucial strategies for promoting health, but they operate at different levels. Primordial prevention aims to address the root causes of health problems and improve the wider determinants of health. It focuses on preventing the emergence of risk factors in the first place by tackling the underlying social, economic, and environmental determinants of health. This involves broad, population-wide interventions such as: Policies that promote healthy food choices: Think about initiatives like taxing sugary drinks to discourage unhealthy consumption, or providing subsidies for fruits and vegetables to make them more accessible. Urban planning that prioritises well-being: This could include creating walkable neighborhoods with safe cycling routes, ensuring access to green spaces for recreation and relaxation, and designing communities that foster social connections. Social programs that address inequality: Initiatives aimed at reducing pov...

What makes a good doctor – and who gets to decide?

What Makes a Good Doctor? This is the question that Waseem Jerjes and I explore in the Journal of the Royal Society of Medicine . It is a key question that underpins the architecture of medical education, clinical practice, regulation, and professional identity. It cannot be answered by regulators, educators, or employers in isolation. It must be answered together – by doctors and patients – revisited throughout a career, and adapted as society and the profession change. Without that shared reflection, the danger is not simply disillusionment, but the erosion of the moral foundations of clinical work. As we enter an era when diagnosis will increasingly involve artificial intelligence and when performance metrics reward volume over value, reclaiming this question as a professional one is imperative. The integrity of our institutions – and of the practitioners within them – depends on reimagining excellence in inclusive, relational terms. A good doctor is not a flawless technician or a f...

Relevance Over Recall: Rethinking How AI Uses Clinical Data

Our article in the Journal of the Royal Society of Medicine argues that safe and effective AI in healthcare must incorporate mechanisms that emulate human judgement - down-weighting old, inaccurate or superseded information and prioritising what is recent, clinically relevant and reaffirmed - so that AI supports, rather than disrupts, high-quality patient care.  Clinicians constantly revise, reinterpret and filter past information so that only what is relevant, accurate and timely shapes present-day management decisions; medical records function as dynamic “working tools” rather than fixed archives. By contrast, many AI systems lack this capacity for selective forgetting and often treat all historical data as equally meaningful.  This can lead to outdated or low-confidence diagnoses being repeatedly resurfaced, persistent labels influencing clinical expectations, and irrelevant, long-resolved events cluttering summaries and decision-support outputs. Such indiscriminate recall...