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Skip search results from other journals and go to results- 5 JMIR Public Health and Surveillance
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Pooled Cohort Profile: ReCoDID Consortium’s Harmonized Acute Febrile Illness Arbovirus Meta-Cohort
The interactions between immune responses caused by different patterns of exposure over time to the 4 dengue virus serotypes (DENV 1-4) and Zika virus (ZIKV) have attracted considerable attention—for example, as a mechanism to explain the heterogeneity in severe dengue but also in the severe outcomes seen during and after the ZIKV epidemic in Latin America [2-6].
JMIR Public Health Surveill 2024;10:e54281
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This study retrospectively uses large public data sets, such as Google Trends and Reddit, to estimate the level of public interest in 6 non-COVID epidemic diseases (chikungunya, Ebola, H1 N1 influenza, Middle Eastern respiratory syndrome [MERS], severe acute respiratory syndrome [SARS], and Zika virus) from 2018 through the end of 2020.
JMIR Form Res 2023;7:e44603
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For a pilot test of Whats App as a focus group platform, we recruited Latina women in a Zika virus risk area (southern Arizona) to assess their knowledge of Zika virus infection in women who are pregnant or may become pregnant. Secondarily, we queried participants’ preferences for receiving health messages on the web.
JMIR Form Res 2021;5(10):e20970
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The goal of the system in 2017 and 2018 was not only to evaluate the travel in the context of Zika and other emerging arboviral diseases at the time but also with the intent to expand the system to support the surveillance of other emerging infectious diseases. To that effect, this capability was used during a brief window to monitor the initial spread of COVID-19 infections in the United States.
JMIR Public Health Surveill 2021;7(3):e26719
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H2: The tweeting dynamics of Zika was associated with and influenced by a few real-world critical events, other than the continuous Zika epidemic.
H3: The tweeting dynamics of Zika were driven by a few highly influential users (colloquially referred to as influentials hereafter), which led to the public discourse of Zika on Twitter.
JMIR Public Health Surveill 2020;6(3):e17175
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In the previous study, 1.2 million tweets were collected between February 24, 2016, and April 27, 2016, using the keywords Zika, Zika virus, and Zika virus treatment [4].
JMIR Public Health Surveill 2019;5(2):e11036
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This research suggests that Twitter may be useful in identifying discussion topics in the Zika domain as well.
In this study, we investigated the possibility of discovering topics of discussion on Twitter that are related to the ongoing public health challenge of Zika virus and whether their variations reveal important information regarding changes of Zika-related attitudes, knowledge, and behaviors of populations over time.
JMIR Public Health Surveill 2018;4(1):e16
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