Credit: Mohd Rasfan/AFP/Getty

Just as we were starting to put the two years of the pandemic behind us, the last thing anyone wanted to hear was that a new infectious disease was spreading unexpectedly. Yet this is exactly what has happened: towards the end of April 2022, cases of the viral disease monkeypox were detected in several countries around the world. By the end of May, 57 people had been diagnosed with the disease in the UK, and another 100 around 14 different countries.
However, the spread of monkeypox has been very different to the spread of Covid. While Covid is spread through the air, by droplets on patients’ breath, monkeypox is mainly spread by skin-to-skin contact. And because the initial outbreak arose among gay and bisexual men — many of the initial cases can be traced back to a Pride event in the Canary Islands, a sauna in Madrid, and other venues — the large majority of cases have, so far, been among men who have sex with men (MSM).
That said, the disease is not specific to gay men, or sexually transmitted in the strict sense of the word, and could reach the wider community. Even if it doesn’t, it’s important to get a sense of how far monkeypox could spread among MSM, and to try to minimise its damage and understand the scale of the public health problem. With that in mind, we gathered ten forecasters for a discussion of the likely outcomes of the monkeypox outbreak — to try to predict both the likely size of the outbreak, and how it will look: will it break out of the MSM community in large numbers?
A note on forecasting methods:
The classic “superforecasting” model requires forecasters to give a percentage probability for a certain outcome, such as “Britain will vote to remain in the EU, 66%”. Forecasting skill is graded on how well-calibrated those forecasts are — do your 66% forecasts come in 66% of the time? — and also how confident they are: getting a 90%-confident forecast right is rewarded more highly than getting a 55%-confident forecast right. (On the other hand, getting a 90%-confident forecast wrong is punished more severely than getting a 55%-confident forecast wrong.)
In this case, we do something similar, but, in a way, reversed. The forecasters gave a range of values that they thought was 80% likely to contain the true outcome. So, for instance, if one thought that it was 90% likely that the number of monkeypox cases in the UK before the end of 2022 would be higher than 500, and 90% likely that it would be lower than 10,000, their 80% range is 500 to 10,000.
They also each gave a 50% value, which you can most easily think of as their central, most likely estimate. The forecasters will be graded on whether their 80% forecasts come true 80% of the time, as usual, but instead of being rewarded for making higher-confidence predictions, they’ll be rewarded for giving narrower ranges. For each question, we also gave a median of the forecasters’ 10%, 50% and 90% predictions — that is, if you took all 11 predictions and put them in a row from smallest to largest, we’d take the one in the middle.
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