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Short Term Influenza Forecasting in the Hospital Environment Using a Bayesian Kalman Filter

Kaleeswaran Mani, Shankar

Abstract Details

2024, Master of Science, Ohio State University, Biostatistics.
Accurate forecasting of weekly number of influenza (flu) lab tests and positive cases is vital for hospitals to provide adequate patient care at the right time. It also helps prevent shortages or overages of staffs and supplies. In this paper we present a practical implementation of a Bayesian Kalman filter to forecast weekly flu test and positive cases in a hospital environment. By integrating real time hospital data, this framework offers a robust methodology for accurately predicting flu volume one to four weeks out with a reasonable accuracy.
Grzegorz Rempala (Advisor)
Eben Kenah (Committee Member)
Fernanda Schumacher (Committee Member)
17 p.

Recommended Citations

Citations

  • Kaleeswaran Mani, S. (2024). Short Term Influenza Forecasting in the Hospital Environment Using a Bayesian Kalman Filter [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu171319290584491

    APA Style (7th edition)

  • Kaleeswaran Mani, Shankar. Short Term Influenza Forecasting in the Hospital Environment Using a Bayesian Kalman Filter. 2024. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu171319290584491.

    MLA Style (8th edition)

  • Kaleeswaran Mani, Shankar. "Short Term Influenza Forecasting in the Hospital Environment Using a Bayesian Kalman Filter." Master's thesis, Ohio State University, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=osu171319290584491

    Chicago Manual of Style (17th edition)