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Skip search results from other journals and go to results- 5 JMIR Public Health and Surveillance
- 5 Journal of Medical Internet Research
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- 1 JMIR Infodemiology
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When Infodemic Meets Epidemic: Systematic Literature Review
The search terms used included “social media” and “epidemics,” with variations depending on the RQ’s objectives and the database searched. For RQ1, the search results of the query (“social media” AND “epidemics”) were complemented by the results of the query (“social media” AND “epidemics” AND “monitoring” AND “tracking”). The combination of these 2 queries allowed for result-filtering without overlimiting the output. The query (“social media” AND “epidemics” AND “fake news”) was used for RQ2.
JMIR Public Health Surveill 2025;11:e55642
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Reference 7: Urbanization and humidity shape the intensity of influenza epidemics in U.S. cities Age-specific differences in influenza A epidemic curves: do children drive the spread of influenza epidemics Reference 42: Increased urbanization reduced the effectiveness of school closures on seasonal influenza epidemicsepidemics
JMIR Public Health Surveill 2023;9:e41435
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Previous research has shown that hepatitis epidemics in China exhibit oscillatory properties at a national level [35,36]. Natural forces (eg, temperature [37] and natural disasters [38]) might drive this oscillatory infection. Several examples have shown that epidemics, such as measles [39], pertussis [40-44], influenza [45], and rabies [46-48], can have oscillations. However, whether the oscillatory phenomena of hepatitis epidemics were influenced by environmental factors remains unclear.
JMIR Public Health Surveill 2023;9:e45199
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This emphasizes the importance of timely containment efforts in managing emerging epidemics [7,19,20,58].
Several aspects of our analysis could be improved if more detailed data were available. For instance, the epidemiological model could be age-stratified if relevant data were available for Spain regarding symptom onset to hospitalization and death [36]. The same applies to geographical heterogeneity.
JMIR Public Health Surveill 2023;9:e40514
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Reference 15: EPI-WIN: WHO Information Network for Epidemics(https://www.who.int/teams/epi-win) Reference 27: Assessing the risks of 'infodemics' in response to COVID-19 epidemicsepidemics
J Med Internet Res 2022;24(8):e36085
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Neither this phenomenon during epidemics nor investigations of it are new. Infodemiology—“the study of the determinants and distribution of health information and misinformation”—emerged in the late 20th century and was shortly thereafter conceptualized as a field of study [6,7]. Infodemics as informational companions to epidemics developed with the first SARS epidemic and continued subsequently during the H1 N1, Ebola, and Zika public health emergencies [8-10].
JMIR Infodemiology 2021;1(1):e27472
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How to Fight an Infodemic: The Four Pillars of Infodemic Management
Reference 12: Information epidemics, economics, and immunity on the internet. Reference 15: Detecting influenza epidemics using search engine query dataepidemics
J Med Internet Res 2020;22(6):e21820
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The authors of “An Integrated Influenza Surveillance Framework Based on National Influenza-Like Illness Incidence and Multiple Hospital Electronic Medical Records for Early Prediction of Influenza Epidemics: Design and Evaluation” (J Med Internet Res 2019;21(2):e12341) inadvertently marked Yu-Sheng Lo as an equal contributor when that designation should have only been applied to Cheng-Yi Yang and Ray-Jade Chen. The asterisk denoting equal contribution has now been removed from Yu-Sheng Lo.
J Med Internet Res 2019;21(3):e13699
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