Στατιστικές μέθοδοι βιοεπιτήρησης και εφαρμογή σε δεδομένα εξάπλωσης επιδημιών
Statistical biosurveillance methods and their application in epidemic outbreak data
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Keywords
Βιοεπιτήρηση ; ARIMA ; Διαγράμματα ελέγχου ; Στατιστική σάρωσηAbstract
In December 2019, the first confirmed case of coronavirus Covid – 19 was recorded in the
Chinese city of Wuhan. The rapid increase in cases on a global scale has highlighted the need
for fast and valid detection of infectious disease cases, in order to take the necessary measures
to prevent an impending health crisis.
The purpose of this thesis is the analysis of basic methods and means of Biosurveillance.
More specifically, in Chapter 2 we focus on Scan Statistics, in Chapter 3 on Statistical Process
Control Charts, while in Chapter 4 we present Timeseries Methodology with use of ARIMA
and SIR models. At the same time, for each of the above methods, we present examples on
epidemiological and clinical data. Finally, in Chapter 5, an indicative application of methods of
ARIMA, p – Control Chart and Space Scan Statistics is made in data concerning the coronavirus
epidemic in Greece.
Postgraduate Studies Programme
Εφαρμοσμένη ΣτατιστικήDepartment
Σχολή Χρηματοοικονομικής και Στατιστικής. Τμήμα Στατιστικής και Ασφαλιστικής ΕπιστήμηςNumber of pages
139Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα