Generalized Gamma-CUSUM control chart with application of COVID-19 deaths.
PLoS One
; 18(2): e0281360, 2023.
Article
in English
| MEDLINE | ID: covidwho-2224482
ABSTRACT
The increase in the number of infections and the worrisome state of mortality linked to the COVID-19 pandemic demand an optimal statistical model and efficient monitoring scheme to analyze the deaths. This paper aims to model the COVID-19 mortality in Nigeria using four non-normal distributions grouped under the generalized gamma distribution, by specifying the best-fit distribution to model the number of deaths linked to the COVID-19 pandemic. In addition, a control chart to monitor the COVID-19 deaths based on the best-fit distribution is proposed. The performance of the proposed Gamma-CUSUM chart as a monitoring scheme was compared with the standard normal-CUSUM chart. The results revealed that the Gamma-CUSUM chart first signals a change in the number of deaths on day 68 while there was no change in the number of deaths for the standard normal-CUSUM chart. Also, the exact point of change was visible on the Gamma-CUSUM chart which was impossible on a standard normal-CUSUM control chart.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pandemics
/
COVID-19
Type of study:
Observational study
Limits:
Humans
Country/Region as subject:
Africa
Language:
English
Journal:
PLoS One
Journal subject:
Science
/
Medicine
Year:
2023
Document Type:
Article
Affiliation country:
Journal.pone.0281360
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