关键词: COVID-19 CUSUM MEM Public health detection method monitoring

Mesh : Benchmarking COVID-19 / diagnosis epidemiology Databases, Factual Diagnostic Tests, Routine Disease Outbreaks / prevention & control Early Diagnosis Humans Italy / epidemiology SARS-CoV-2 Saudi Arabia / epidemiology

来  源:   DOI:10.3855/jidc.13914

Abstract:
This paper aims to measure the performance of early detection methods, which are usually used for infectious diseases.
By using real data of confirmed Coronavirus cases from the Kingdom of Saudi Arabia and Italy, the moving epidemic method (MEM) and the moving average cumulative sums (Mov. Avg Cusum) methods are used in our simulation study.
Our results suggested that the CUSUM method outperforms the MEM in detecting the start of the Coronavirus outbreak.
摘要:
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