e.g. mhealth
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The incidence rate significantly increased from 35.50 per 100,000 in 2016 to 70.14 per 100,000 in 2019, surpassing other legally notifiable infectious diseases like measles and rubella. Since varicella is not a notifiable infectious disease in China, the actual incidence rate is probably higher than the reported rate. This underscores the pressing need for effective prevention strategies to tackle the significant public health impact of varicella infection.
JMIR Public Health Surveill 2025;11:e71691
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Reference 20: Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectiousinfectious
JMIR Infodemiology 2025;5:e66081
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The practice of using wastewater data to track pathogens has gained significant interest as an innovative method of infectious disease surveillance, with nearly 80% of the US population connected to public wastewater systems [1,2]. During the COVID-19 crisis, local health agencies started to gather and report data on COVID-19 concentrations in wastewater, using the trends in these data as an indirect indicator of SARS-Co V-2 transmission patterns.
JMIR Public Health Surveill 2025;11:e68213
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Dermatologic Research in Displaced Populations: Importance, Challenges, and Proposed Solutions
Dermatologic conditions, not frequently prioritized in acute care settings, represent significant disease burden and often serve as visible markers of hygiene-related issues, systemic illness, or infectious outbreaks [3]. Infectious diseases such as malaria, measles, acute respiratory infections, and diarrheal illnesses are among the major causes of morbidity and mortality [4]. Along with malnutrition (particularly in children), these problems account for the majority of deaths among displaced persons [4].
JMIR Dermatol 2025;8:e64828
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The success of the RAG-equipped LLMs in enhancing the accuracy and efficiency of COVID-19 fact-checking suggests that similar approaches could be adapted and refined for broader applications, including emerging infectious diseases, cancer, cardiovascular health, and dietary behaviors [33,34]. Future research should explore the effectiveness of knowledge-graph RAG systems and the comparative performance of fine-tuned versus RAG-equipped LLMs in enhancing automated health fact-checking.
J Med Internet Res 2025;27:e66098
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Telemedicine Booths for Screening Cardiovascular Risk Factors: Prospective Multicenter Study
infectious
JMIR Hum Factors 2025;12:e57032
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As a second analytical finding, we found that the SVM model could provide a prediction of the level of severity based on a biological analysis of the level of OS in a relatively limited cohort and during an epidemic of respiratory infectious disease, with only 7% misclassified cases in the training dataset.
The originality of this work is the determination of the grade of clinical severity through the analysis of specific OS biomarkers using a machine learning model.
JMIR Form Res 2025;9:e66509
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