1
$\begingroup$

I'm a bit confused by the concept of a minimum infectious dose (MID). It seems from what my research so far has turned up, that while any dose greater than 0 could potentially cause an infection, for most pathogens the likelihood of this occurring is low enough to be dismissed.

What I'm now trying to figure out is, what metric is used to define the MID? Is it the amount of the pathogen which is expected to cause an infection in 50% of those exposed (similar to an LD50?) Is there some other value used instead?

Secondly, is there a specified relationship between the received dose, as a multiple of the MID, and the likelihood of infection (for example if the MID caused an infection in 50% of people, then perhaps 2 MIDs would cause infection in 75% and 3 MIDs would cause infection in 87.5%).

Note, I am not asking about how the MID is empirically measured, but rather about the conceptual underpinnings of the concept itself. Also, any links you can provide to additional resources would be most appreciated. Google is useless these days now that the search results are flooded with nothing but SARS-CoV-2 specific articles.

$\endgroup$

1 Answer 1

3
$\begingroup$

Minimum infective dose is the minimum number of infectious particles that causes infection/illness in 50% of those given that dose.

Practically this is only really measurable in a controlled laboratory setting, but one can estimate it for real world circumstances as well.

It isn't easy to know how exactly the probability will vary around the MID - there are too many factors related both to the individual and the pathogen to make simplistic assumptions (like assuming each individual infectious particle has an independent probability of leading to infection). It is typical that higher initial exposure (particularly for foodborne illness, but seems to be an issue with SARS-CoV-2 and other respiratory viruses as well) leads to more severe illness, however.

$\endgroup$
0

You must log in to answer this question.

Not the answer you're looking for? Browse other questions tagged .