e.g. mhealth
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Additionally, little is known regarding global health care professionals’ perspectives and the extent and impact of Chat GPT’s integration in health care settings [11,12]. Most studies to date, have been limited to localized settings or specific subgroups. Yet, successful and ethical integration of Chat GPT into health care workflows depends heavily on end-user acceptance, awareness of limitations, and perceptions regarding safety, usability, and value [5-7].
JMIR Med Educ 2025;11:e58801
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The WHO has identified vaccine hesitancy as one of the ten greatest threats to global health [3], and COVID-19 vaccine hesitancy has attracted a lot of attention [4,5].
The acceptance of COVID-19 vaccination varied across countries: among 23 countries in a global survey, the COVID-19 vaccine acceptance rate ranged between 51.6% (Russia) and 97.6% (China) [5].
JMIR Public Health Surveill 2025;11:e66872
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The recognition for the necessity of conception of a COVID-19 global critical care database rapidly developed with the growing crisis hospitals experienced from the spread of the disease [4,5]. This would allow for near real-time data collection, analysis, and display. The design of the registry would be consistent with data analytic requirements [4,5].
JMIR Res Protoc 2022;11(3):e27921
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The emergence of novel SARS-Co V-2 in December 2019 and the global spread of COVID-19 have become the most severe and publicized human crises in recent history. As of June 29, 2021, the global burden of COVID-19 has exceeded 180 million cases worldwide [1].
The impact of COVID-19 on mental health has recently emerged as a matter of enormous concern [2].
JMIR Ment Health 2021;8(8):e28736
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For these purposes, we developed the GIDEIMS to provide a simple, effective, and sustainable tool for obtaining information on global human infectious disease epidemics.
Websites used in the Global Infectious Diseases Epidemic Information Monitoring System.
JMIR Public Health Surveill 2021;7(2):e24204
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This study analyzes the global trends, patterns, and development of interdisciplinary landscapes in AI and cancer studies.
We searched and retrieved all papers related to AI in cancer care on the Web of Science (WOS) that is a Web-based database covering the largest proportion of peer-reviewed literature in this field. The full search strategy has been presented elsewhere [2].
JMIR Med Inform 2019;7(4):e14401
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Authors and editors represented a global academic community (see Figure 2). Of all articles selected, 40.03% (544/1359) had corresponding authors from high-income countries, as defined by the World Bank [20]. The overall survey response rate was 13.0%, with editor response rates significantly lower than those for authors (6.5% vs 18.9%, respectively, P
Responding authors had a median age of 43 years (IQR 33-54), with 47.0% (95/202) reporting that they had been in practice for over 15 years (see Table 1).
J Med Internet Res 2019;21(8):e13769
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