Unequal impact of COVID-19: BAME disproportionality
The shielded population are those that have been defined by Government on medical grounds as medically vulnerable due to a clinical condition that puts them at High risk of developing complications from COVID-19 infection.

Those recommended to shield include:
• Organ transplant recipients
• Pregnant women with congenital heart conditions
• Those with rare diseases such as homozygous sickle cell, SCID and others
• Those on immunosuppression therapies
• People with specific cancers or those with cancer undergoing chemo/radiotherapy.

Camden has so far received the contact details of almost 8,000 residents identified by central Government, with more records likely in future.

The details received do not contain the personal characteristics of those on the list, although we have received an overview from North Central London NHS.
(note: above is broken down into shielder’s location and BAME ward profile, shielding population by ethnicity, shielded food need and dietary requirements).

Unequal impact of COVID-19: BAME disproportionality
Addressing the disproportionate impact of the pandemic is a shared endeavour and we want our residents, particularly our Black, Asian, and minority ethnic residents, to play an active role in our response.

This slide pack shows that we will support them to do so by:
• Using cross-channel communications tactics and reaching out to all Camden residents to make sure everyone is informed and given the opportunity to engage;
• Encouraging residents to share their lived experience of Covid-19 and help us garner the evidence we need to take action;
• Encouraging residents to work with us and our partners to shape and deliver the actions in our plan and act as a critical friend to make sure we stay true to our objectives and deliver the change we are promising.

New analysis on cancer screening inequality (January 2022) - Appendix
The Camden and Islington Public Health Intelligence team has recently completed an equity analysis to explore existing disparities in cancer screenings looking at the North Central London population groups before the COVID-19 pandemic.
This analysis highlights the differences in both bowel screening coverage and cervical screening coverage between certain groups (for example, by gender, age, race/ethnicity and disability status) and GP practice level. There is also an association with deprivation, and lower bower screening coverage is seen in those who smoke, those who are obese, and those with a mental health condition (both depression or severe mental health).
This analysis will help identify opportunities for local strategies and prevention to help improve overall cancer screening, and reduce inequity gaps.