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Previous work introduced the development of a voice warning for hypoglycemia while behind the wheel, whereas the voice assistant (VA) would work as a warning interface [8]. The hypoglycemia warning was intended as an app compatible with the VA that is already available in the car and that would allow delivering an alert in a hands-free manner. The study reported on the iterative development and evaluation of an in-vehicle hypoglycemia voice warning.
JMIR Hum Factors 2024;11:e46967
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Although early warning “signals” from such systems are leading to earlier detection and swifter responses to emerging threats, the proliferation of these systems can also generate a large volume of data that must be processed before contributing toward the early warning or risk assessment of ongoing threats [3]. This large volume of data may also result in false alarms that might propagate rumors and quickly overwhelm the surveillance infrastructure [2,4].
JMIR Public Health Surveill 2024;10:e52093
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Currently, the autoregressive integrated moving average (ARIMA) model is one of the most commonly used time series methods and is extensively used in the early warning of infectious diseases [3,7-9]. The occurrence of scarlet fever exhibits seasonality and temporal correlation. The ARIMA model is capable of capturing such cyclic patterns and accounting for autocorrelation in time series data, thereby enhancing predictive precision.
J Med Internet Res 2023;25:e49400
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