Your browser doesn't support javascript.
On the early detecting of the COVID-19 outbreak.
Aba Oud, Mohammed; Almuqrin, Muqrin.
  • Aba Oud M; Department of Mathematics and Statistics, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Kingdom of Saudi Arabia. maabaoud@imamu.edu.sa.
  • Almuqrin M; Department of Mathematics, Faculty of Science in Zulfi, Majmaah University, Kingdom of Saudi Arabia.
J Infect Dev Ctries ; 15(11): 1625-1629, 2021 11 30.
Article in English | MEDLINE | ID: covidwho-1572705
ABSTRACT

INTRODUCTION:

This paper aims to measure the performance of early detection methods, which are usually used for infectious diseases.

METHODOLOGY:

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.

RESULTS:

Our results suggested that the CUSUM method outperforms the MEM in detecting the start of the Coronavirus outbreak.
Subject(s)
Keywords
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: Early Diagnosis / Diagnostic Tests, Routine / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study Limits: Humans Country/Region as subject: Asia / Europa Language: English Journal: J Infect Dev Ctries Journal subject: Communicable Diseases Year: 2021 Document Type: Article

Similar

MEDLINE
LILACS
LIS
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: Early Diagnosis / Diagnostic Tests, Routine / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study Limits: Humans Country/Region as subject: Asia / Europa Language: English Journal: J Infect Dev Ctries Journal subject: Communicable Diseases Year: 2021 Document Type: Article