e.g. mhealth
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Skip search results from other journals and go to results- 6 Journal of Medical Internet Research
- 4 JMIR Formative Research
- 4 JMIR Public Health and Surveillance
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- 1 JMIR Dermatology
- 1 JMIR Diabetes
- 1 JMIR Medical Education
- 1 JMIR Perioperative Medicine
- 1 JMIR mHealth and uHealth
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Since 1990, the continent has seen rapid urbanization, with 0.5 billion more people now living in urban areas [9]. While population density is generally associated with easier geographical access to health services, rapid urbanization is also intrinsically associated with socioeconomic disparities, including the development of crowded townships [10].
JMIR Public Health Surveill 2025;11:e68355
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Assessing COVID-19 Mortality in Serbia’s Capital: Model-Based Analysis of Excess Deaths
Seemingly similar urban environments differed in their resilience to the COVID-19 pandemic. Certain aspects of these urban environments, such as response efficiency, optimized testing and detection strategies, and practical immunization efforts, make them more or less resilient to the spread of the SARS-Co V-2 [15]. Analyzing the impact of COVID-19 on urban environments can shed light on the epidemiological burden and help quantify the effectiveness of government policies [16].
JMIR Public Health Surveill 2025;11:e56877
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Furthermore, the impacts of internet use among adolescents may vary between rural and urban areas. Traditionally, rural adolescents have limited access to internet devices and engage in fewer online activities than their urban counterparts [24]. With the increasing penetration rates of the internet in recent years, the urban-rural gap has narrowed, with adolescents in rural areas experiencing a faster increase in screen time [25].
J Med Internet Res 2025;27:e63799
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Chongqing is divided into urban and suburban areas based on geographical location and development level, with 3.07 million (23.9%) households in urban areas and 9.79 million (76.1%) in suburban areas [33]. Kindergarten children are typically between 3 and 6 years old, with exceptions depending on individual circumstances [34].
J Med Internet Res 2025;27:e60324
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This pilot study was conducted from 2019 to 2021 in a large, urban, pediatric residency program with multiple institutional sites. To assess feasibility, we focused on ambulatory diagnoses at 1 pediatric continuity clinic site. We chose this site since it had a larger volume of general pediatric patients with fewer complex medical needs than the other continuity clinics.
JMIR Med Educ 2024;10:e53337
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Potential survey participants were identified by research assistants at 1 of 2 (1 in an urban setting, 1 in a periurban setting) pilot study HIV care facilities using convenience sampling; participants were selected following reception and triage procedures, which included routine data collection (eg, temperature, weight, and blood pressure).
J Med Internet Res 2024;26:e54304
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While internet accessibility has been extensively compared between urban and rural geographies, contemporary US data quantifying geographical differences in exposure to health-related videos on social media are not available. It is important to quantify these data in the context of “place,” as the expansion of the cellular network has improved accessibility to health information available on the web in urban as well as rural areas.
J Med Internet Res 2024;26:e49749
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Diversity Among American Dermatological Association Members by Sex and Geographic Region
urban
JMIR Dermatol 2024;7:e47802
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Patients were coded according to their zip codes to a specific rural-urban commuting area (RUCA) code [45]. RUCA codes characterize all census areas regarding their rural and urban status and relationships. This classification system uses the standard Bureau of Census urbanized area and urban cluster definitions in combination with work-commuting information [46,47]. Rural areas have been defined as having an urban core of 50,000 people or less [24].
JMIR Mhealth Uhealth 2023;11:e44316
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In this regard, the difference in the use of adjectives between urban and rural users can be measured via the difference in the hashtag-adjective similarity scores between urban and rural word-embedding models. For instance, the adjectives used mainly by urban users to describe a COVID-19 topic can be learned from comparing the topic vector to the adjectives in the urban-w2v model. Similarly, the preference of adjectives for rural users can be obtained from the rural-w2v model.
J Med Internet Res 2023;25:e42985
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