That's not accurate unless I'm missing something... sticking with just the surgical mask arm -- the effect size of 0.08% was based on a binary mask vs. non-mask intervention. It has no relation to the number of people masking. The intervention was getting more people to mask -- they succeeded mildly, where 6/10 people still hadn't masked. But that was sufficient for a 10% reduction in seropositive cases.
Edit;
They actually address this specifically;
Our estimates suggest that mask-wearing increased by 28.8 percentage points, corresponding to an estimated 51,347 additional adults wearing masks in intervention villages, and this effect was persistent even after active mask promotion was discontinued. The intervention led to a 9.3% reduction in symptomatic SARS-CoV-2 seroprevalence (which corresponds to a 103 fewer symptomatic seropositives) and an 11.9% reduction in the prevalence of COVID-like symptoms, corresponding to 1,587 fewer people reporting these symptoms.
So for 51,000 people additional people wearing masks -- 1,600 people were spared Covid symptoms and 103 people were spared symptoms + seropostive diagnosis. This with only a total of 42% of people wearing masks and a relatively low level of underlying Covid.
It's an especially obvious intervention based on the exponential potential of Covid infection and early R0 of 6 or whatever it was, plus how effective the surgical masks were (especially in older age groups via Figure 3).