e.g. mhealth
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Skip search results from other journals and go to results- 10 JMIR Public Health and Surveillance
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In the past, smartphones have been used to assess pelvic orientation in clinical tests [27,28] and during walking [29], as well as acceleration during SLS [30] and sit-to-stand [31]. While smartphone measures of pelvic acceleration and orientation during SLS demonstrated good to excellent reliability between days [32], whether these measures are valid compared to gold-standard MOCAP is yet to be determined.
JMIR Rehabil Assist Technol 2025;12:e65342
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We measured how acceleration of speed one week compared to the prior week, as well as how novel infections in a prior week predicted new cases the following week. We can think of the latter measure as the echoing forward of cases. These metrics were tested and validated in prior research [6,32-42].
JMIR Public Health Surveill 2025;11:e53214
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This includes assessing how the acceleration of the pandemic’s speed this week compares with the previous week and how newly reported infections last week can predict new cases in the current week. We can think of this predictive measure as the propagation of cases into the future. These metrics have undergone testing and validation in previous research [5,7,8,17].
JMIR Public Health Surveill 2024;10:e53218
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Notably, all the sensors used in this study (triaxial accelerometer-derived acceleration [ACC], heart rate [HR], electrodermal activity [EDA], and skin temperature [TEMP]) were important for estimating glucose variability indices and Hb A1c, although EDA and TEMP were the most important indicators when estimating Hb A1c [31].
JMIR Diabetes 2024;9:e62831
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From a public health perspective, we need to know whether the rate of new COVID-19 cases is increasing, decreasing, or stable from week to week, and if any changes in the transmission rate indicate an acceleration or deceleration of the pandemic. Statistical insignificance is important as it can signal the epidemiological “end” to the pandemic if the rate of new cases is zero (or very low) and stable, meaning the number of new cases is neither accelerating nor decelerating.
JMIR Public Health Surveill 2024;10:e53409
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As a result, the actual translatoric acceleration caused by the heart is affected by additional “artifacts” due to the change in orientation of the acceleration axis relative to the earth’s gravity. This can lead to BCG-SCG–like acceleration artifacts on the axes and thus to constructive or destructive interference with the actual BCG-SCG signal. These can lead to deformation and, thus, misinterpretations of the signal.
JMIR Res Protoc 2024;13:e63306
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We measure how acceleration of speed this week compares with last week, as well as how novel infections last week predict new cases this week. We can think of the latter measure as the echoing forward of cases. These metrics were tested and validated in prior research [9,33-43]. For this study, we used both traditional and enhanced surveillance metrics to analyze the possible end to the pandemic in Central Asia.
This study had 3 objectives.
JMIR Public Health Surveill 2024;10:e52318
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South Asia’s COVID-19 History and Surveillance: Updated Epidemiological Assessment
We measure how acceleration of speed this week compares to last week, as well as how novel infections last week predict new cases this week. We can think of the latter measure as the echoing forward of cases. These metrics were tested and validated in prior research [31-42].
The novel indicators go beyond transmission rates to include acceleration, jerk, and 1- and 7-day persistence metrics. The transmission rate of new COVID-19 cases per 100,000 population is also known as the “speed” of the pandemic.
JMIR Public Health Surveill 2024;10:e53331
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We measured how acceleration of speed this week compared with last week, as well as how novel infections last week predicted new cases this week. We can think of the latter measure as the echoing forward of cases. These metrics were tested and validated in prior research [8,44-54].
JMIR Public Health Surveill 2024;10:e53219
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These metrics gauge the acceleration of the speed from 1 week to the next and predict new cases based on prior dynamic panels across months of daily infections, effectively forecasting the progression of the outbreak. This predictive ability identifies the “echoing forward” of cases. Our metrics have undergone rigorous testing and validation in prior publications that this study updates [8,50-57].
JMIR Public Health Surveill 2024;10:e44398
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