This is a terrific distillation Akhil- very readable and it’s updated me strongly on the scale and neglectedness of the problem. Is there any source you’re aware of that explains the relative import of human, animal, and environmental overuse? I’d be interested to know the rough orders of magnitude of how much resistance they each contribute.
Really excellent question, and unfortunately we don’t have a good answer here. We know all the factors that contribute to AMR, but we haven’t as yet been able to quantify their relative contribution. This really constrains impact and investment within the space as it makes impact evaluation difficult, and makes it difficult for governments and other funders to justify the value of AMR interventions and policies that they may be considering. As I mention in the report, this is probably amongst the highest, if not highest, area of need within the space. Part of the difficulty with developing good quantified models of the drivers of AMR is a balance between making sure it is scientifically rigorous enough (which would likely require longitudinal metagenomic data), but also getting answers relatively quickly (and inexpensively).
Any projects or groups working on this idea should be in touch!
This is a terrific distillation Akhil- very readable and it’s updated me strongly on the scale and neglectedness of the problem. Is there any source you’re aware of that explains the relative import of human, animal, and environmental overuse? I’d be interested to know the rough orders of magnitude of how much resistance they each contribute.
Really excellent question, and unfortunately we don’t have a good answer here. We know all the factors that contribute to AMR, but we haven’t as yet been able to quantify their relative contribution. This really constrains impact and investment within the space as it makes impact evaluation difficult, and makes it difficult for governments and other funders to justify the value of AMR interventions and policies that they may be considering. As I mention in the report, this is probably amongst the highest, if not highest, area of need within the space. Part of the difficulty with developing good quantified models of the drivers of AMR is a balance between making sure it is scientifically rigorous enough (which would likely require longitudinal metagenomic data), but also getting answers relatively quickly (and inexpensively).
Any projects or groups working on this idea should be in touch!