A very sobering piece published in NEJM Catalyst Innovations in Care Delivery (a new digital journal in the NEJM group) describes a catastrophic situation in a hospital in Bergamo, Italy, which has been overrun by COVID-19. We all have much to learn from this experience: about pandemic preparedness, response, and the key role of IPC at all stages of this pandemic.
As we move through the gears of the response to the COVID-19 pandemic, the UK has entered lockdown – total social distancing. I’ve had many conversations with friends and family about what’s going on and why these extreme measures are necessary. I’ve pointed everybody who’s asked to the Imperial College London modelling, predicting a rapidly overwhelmed healthcare system if the trajectory of the UK epidemic doesn’t change. And pointed them in the direction of these rather cool visualisations of the logic behind social distancing (by cartoonist Toby Morris and microbiologist Siouxsie Wiles):
The UK government yesterday announced a far-reaching package of social distancing measures to suppress the spread of COVID-19. These are based on some Imperial College London modelling work, published here. The model predicts that the UK approach to mitigate the impact of the UK epidemic would indeed reduce the overall number of people affected and those who die, but would still leave hundreds of thousands dead in an overwhelmed healthcare system. In contrast, a more intensive suppression approach would be effective in reversing the epidemic trend and keep the number of new cases to a low level – in the short term, at least.
We know that respiratory viruses can be spread through droplets, occasionally aerosols, and contact routes (see Figure 1). But what is the relative importance of these transmission routes for the SARS-CoV-2 virus, which causes COVID-19? A new pre-print paper published yesterday provides evidence that the stability of the SARS-CoV-2 coronavirus is broadly comparable to the ‘original’ SARS coronavirus (SARS-CoV-1) on dry surfaces and in aerosols. This paper supports an important role for dry surface contamination and aerosols in the spread of SARS-CoV-2, and suggests that improved environmental persistence isn’t the key to the relative success of SARS-CoV-2 over SARS-CoV-1.
Figure 1: Transmission routes of respiratory viruses (from this review article).
Yes, it’s true. There is more to HCAI & AMR (and this blog) than COVID-19! To prove it, I’m posting on something different today – the use of AI to streamline the anti-infective drug discovery process. Scientists at MIT have used machine learning (aka “deep learning”) to improve the drug discovery process, by predicting antimicrobial activity in molecules that are different from known antibiotics. This process has yielded Halicin, a promising candidate molecule for a broad-spectrum antimicrobial agent – which is, of course, a long way from clinical trials!
I guess it was inevitable really – the Coronavirus paranoia (or Coronavirunoia) is setting in!
I called my local GP today to get an appointment for my son…