Search Results - "Schnekenberg, Ricardo P."

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    Inference of COVID-19 epidemiological distributions from Brazilian hospital data by Hawryluk, Iwona, Mellan, Thomas A, Hoeltgebaum, Henrique, Mishra, Swapnil, Schnekenberg, Ricardo P, Whittaker, Charles, Zhu, Harrison, Gandy, Axel, Donnelly, Christl A, Flaxman, Seth, Bhatt, Samir

    Published in Journal of the Royal Society interface (01-11-2020)
    “…Knowing COVID-19 epidemiological distributions, such as the time from patient admission to death, is directly relevant to effective primary and secondary care…”
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    Journal Article
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    Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting by Hawryluk, Iwona, Hoeltgebaum, Henrique, Mishra, Swapnil, Miscouridou, Xenia, Schnekenberg, Ricardo P, Whittaker, Charles, Vollmer, Michaela, Flaxman, Seth, Bhatt, Samir, Mellan, Thomas A

    Published 22-02-2021
    “…Updating observations of a signal due to the delays in the measurement process is a common problem in signal processing, with prominent examples in a wide…”
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    Journal Article
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    Inference of COVID-19 epidemiological distributions from Brazilian hospital data by Hawryluk, Iwona, Mellan, Thomas A, Hoeltgebaum, Henrique H, Mishra, Swapnil, Schnekenberg, Ricardo P, Whittaker, Charles, Zhu, Harrison, Gandy, Axel, Donnelly, Christl A, Flaxman, Seth, Bhatt, Samir

    Published 15-07-2020
    “…Knowing COVID-19 epidemiological distributions, such as the time from patient admission to death, is directly relevant to effective primary and secondary care…”
    Get full text
    Journal Article