 The research question examined whether the duration of cough monitoring affects its accuracy in detecting changes in cough frequency. The study used a prospective cohort design and included 616 participants from Pamplona, Spain. The participants cough frequency was passively monitored using smartphone-based acoustic artificial intelligence software. The results showed that an individual's cough patterns follow a binomial distribution, which means that they are highly variable and unpredictable. When comparing continuous monitoring to 24-hour monitoring, it was found that the latter could lead to inaccurate estimates of change in cough frequency, especially when the participant has a low or small change in rate. Therefore, this study suggests that continuous monitoring should be used, instead of 24-hour monitoring to accurately assess changes in cough frequency. This article was authored by Juan C. Gabaldonfiguera, Eric Keane, Matthew Wadd, and others.