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Identification of risk factors for respiratory tract infection in BCG revaccination trial

Terrmin

VT22

Beskrivning

Background: As the COVID-19 pandemic is still a huge burden on the population and is heavily affecting healthcare workers, a trial investigating BCG revaccination effect on healthcare workers was conducted. A one-year trial was conducted following 1000 health care workers.
It is known that some of the patient characteristics, like biological sex, weight or medical conditions, like diabetes mellitus, can alter the risk of getting an event, and some of them make the individual more susceptible to the disease or work in the opposite way. In addition, the health of the individual can be evaluated on a discrete scale with multiple levels rather than a binary yes/no, giving more insight into the severity of the condition. This provides a great opportunity to investigate potential risk factors that are of relevance for different health status scores and get a better picture of the respiratory tract infection situation.

Aim: The objective of this project is to identify risk factors and patient characteristics that are predictive of the event for different health scores

Method: Work will be performed using nonlinear mixed-effects modelling software NONMEM, data handling will be done using R. Parametric time-to-event analysis will be conducted [1]. Data from a clinical trial will be used.

This project is suitable for a student who has taken the elective courses: Models for Biological Systems and Clinical PKPD. The supervision will be in English.

Huvudområde

Farmaceutisk vetenskap

Ämne

Farmakokinetik

Typ

Laborativ studie

Företag

Uppsala Universitet

Ort/Plats

Uppsala

Handledarens namn

Laurynas Mockeliunas

Handledarens e-post

laurynas.mockeliunas@farmbio.uu.se

Institution

Program

Kurs

Omfattning/hp

30hp