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Skip search results from other journals and go to results- 2 Journal of Medical Internet Research
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The unexpected pandemic diffusion of COVID-19 [1] worldwide calls for the need to study all available data to promptly understand the epidemic curve of COVID-19 contagiousness [2-4] to help medical experts, epidemiologists, and political decision makers in designing prompt reaction plans.
In this paper, we aim to develop an accurate predictive model tailored to forecast the evolution of the diffusion over time, exploiting big data and data analytics.
J Med Internet Res 2020;22(10):e21081
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Although scholarly attention has been drawn to misinformation on social media, little is known about the nature and diffusion of cancer-related misinformation there. In this study, we filled this gap by examining the nature and diffusion of misinformation about breast cancer and cervical cancer on social media.
J Med Internet Res 2018;20(10):e11515
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