e.g. mhealth
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Skip search results from other journals and go to results- 8 JMIR Public Health and Surveillance
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At the federal level, outbreaks are investigated when they involve cases in multiple states, implicate imported products, or when federal support is requested. Most of these outbreaks that involve known pathogens are traditionally initiated through laboratory-based surveillance systems with the identification of illness clusters by molecular subtyping of clinical isolates or case reports from ill individuals with a common exposure and illness who seek medical care.
JMIR Public Health Surveill 2025;11:e58797
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In the majority of outbreaks of infectious diseases, the number of mild cases is much higher than the number of severe cases [8]. In this hepatitis outbreak, milder, self-limiting cases (eg, without severe symptoms or jaundice) have not been reported. However, it is possible that this outbreak has been more widespread than recorded data suggest.
JMIR Public Health Surveill 2024;10:e55376
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Spatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: Descriptive Analysis Study
The median duration among all reported outbreaks was 8 days (range 1-151, IQR 4-14) and 10 days (range 1-151, IQR 5-16) among matched outbreaks. Among all reported outbreaks, the median size was 4 cases (range 2-256, IQR 2-7) and among matched outbreaks, it was 6 cases (range 2-232, IQR 3-14).
Outbreaks in community settings (16/72, 22%; P=.01), congregate housing (44/212, 20.8%; P
A reported outbreak could match with more than one cluster and vice versa.
JMIR Public Health Surveill 2024;10:e49871
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An analysis by Chan et al [5] based on WHO-verified outbreaks reported in Disease Outbreak News noted median time from “outbreak start” to “outbreak discovery” dropped from 29.5 days (95% CI 13-59 days) to 13.5 days (95% CI 3.5-44.5 days) during that time. More recently, the time to detection has been reduced due in part to the advancement of digital epidemiology, but the task of timely verification remains a challenge [5,6].
JMIR Public Health Surveill 2024;10:e52093
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Assessing Public Interest in Mpox via Google Trends, YouTube, and TikTok
To summarize, Google Trends remains a useful tool for analyzing the public response to local disease outbreaks [4]. This could hold future potential in monitoring the spread of disease even before statistical data indicate a local outbreak. Additional research is needed to investigate whether a temporal relationship between Google searches and local disease outbreaks exists.
JMIR Dermatol 2023;6:e48827
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The effect of health misinformation has also been found to be determinant in health decision-making during risky situations and outbreaks such as the H5 N1, Ebola, and Zika [5] viruses and the more recent COVID-19 pandemic [8,9]. Misleading messages have even hampered public health actions taken to tackle outbreaks [10-12].
J Med Internet Res 2022;24(8):e36085
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Known outbreaks that were already identified by the COVID-19 data team or were under investigation were also extracted from WEDSS and included in the report to prevent redundancy in targeted policy efforts. The most likely address for each named entity was also provided from the location-mapping tool, along with a predicted probability.
JMIR Public Health Surveill 2022;8(3):e36119
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In contrast to previous systematic reviews [16,17,28,29], we aimed to systematically review the literature describing web-based apps for indicator-based surveillance and response to acute communicable disease outbreaks in the community with regard to their design, implementation, and evaluation.
The three key objectives of this review were to:
Identify and describe the mobile and web-based apps that use surveillance data to respond to acute communicable disease outbreaks in the community.
JMIR Public Health Surveill 2021;7(4):e24330
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The prediction of epidemic outbreaks by dynamic models often involves significant error and generally needs to consider both underlying dynamics and noise related to both measurement and process evolution.
JMIR Public Health Surveill 2019;5(2):e11615
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