e.g. mhealth
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Skip search results from other journals and go to results- 7 JMIR Public Health and Surveillance
- 2 JMIR mHealth and uHealth
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Customizable features of the prototype allow for the design and implementation of game-based protocols considering different cohorts, age groups, and mechanisms of UL function. (2) To develop mathematical and analytical techniques to quantify spatiotemporal measures of whole-limb movement, fine motor precision, and bimanual coordination.
JMIR Serious Games 2025;13:e57802
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We conducted spatiotemporal analysis of the volume, sentiment, and topic of patient experience–related posts on the Weibo platform. Figure 1 shows an overview of this study, which included three distinct stages: (1) data collection and cleaning, (2) data selection and coding, and (3) data analysis and interpretation.
Study design.
JMIR Med Inform 2024;12:e59249
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Spatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: Descriptive Analysis Study
Reference 14: Daily reportable disease spatiotemporal cluster detection, New York City, New York, USA Reference 17: Salmonellosis outbreak detected by automated spatiotemporal analysis—New York City, May-June Reference 22: Detecting COVID-19 clusters at high spatiotemporal resolution, New York City, New York, Reference 26: Prospective spatiotemporal cluster detection using SaTScan: tutorial for designing and Reference 37: A comparison of prospective space-time scan statistics and spatiotemporal event sequencespatiotemporalSpatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: Descriptive Analysis Study
JMIR Public Health Surveill 2024;10:e49871
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Our study specifically investigated the spatiotemporal aspects and risk factors associated with PTB in 21 cities in southern China from 2014 to 2021. This research aimed to guide the development of public health and health care policies that address regional health equity and balanced development.
The data for this study were sourced from the Maternal and Child Health Information System of Guangdong Province, China.
JMIR Public Health Surveill 2024;10:e48815
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Since 2014, to help prioritize resources for case and outbreak investigations and response activities, the BCD has automated daily analyses to prospectively detect and monitor spatiotemporal clusters of reportable communicable diseases using Sa TScan [2,3]. Sa TScan (an abbreviation of Space and Time Scan Statistics) is a free software that analyzes data using scan statistics [4], which can detect increased disease activity without a priori specification of temporal period, geographic location, or size.
JMIR Public Health Surveill 2024;10:e50653
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Gait variability, defined as fluctuations in spatiotemporal characteristics between steps increases with age [3,6] and is associated with increasing risk of developing mobility difficulties [7].
Spatiotemporal and kinematic parameters of gait provide important information, but outcomes are usually based on a treadmill or laboratory overground gait, which may be significantly different from walking outdoors.
JMIR Res Protoc 2024;13:e52898
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We aimed to reveal the characteristics of spatiotemporal gait changes during 6 months following DRF.
This study was approved by the Institutional Review Board of Tokyo Medical and Dental University (M2020-365) and followed the tenets of the Declaration of Helsinki. Written informed consent was provided by all participants. Participation in the study was voluntary, and no compensation was awarded for participation.
JMIR Mhealth Uhealth 2024;12:e55178
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In this study, we aimed to explore the effects of urbanization on seasonal influenza epidemic intensities in urban Mainland China (except Hong Kong, Macao, and Taiwan) according to the spatiotemporal analyses and modelling study of influenza surveillance data collected in Mainland China from 2010 to 2017.
We used weekly reports of influenza surveillance data from the Chinese National Influenza Center.
JMIR Public Health Surveill 2023;9:e41435
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This lack of fine-scale spatiotemporal data has forced public health organizations to adopt an inefficient one-size-fits-all approach to encourage masking nationwide, rather than directing resources and messaging to areas with the lowest uptake. Here, we identify the spatiotemporal trends in self-reported data on mask-wearing behavior across the United States from a large survey distributed from September 2020 to May 2021.
JMIR Public Health Surveill 2023;9:e42128
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