Evaluation of EWMA Control Charts for Monitoring Spread of Transformed Observations of COVID-19 in India

Main Article Content

Brijesh P. Singh
Madhusudan J. V.
Abhay Kumar Tiwari
Sandeep Singh
Utpal Dhar Das

Abstract

COVID-19 a pandemic due to novel corona virus emerged from Wuhan, China in December 2019 and now the whole world facing its threat. This is a disaster pandemic for  almost every nation on the earth. Such novel corona virus impacts on every country in  the world irrespective of race, ethnicity, environment and economic status. In this study, an attempt has been made to use statistical process control technique to understand spread of COVID-19 in some major states of India as well as India. Warning limits and control limits has been estimated and discussed for average weekly growth index of COVID-19 pandemic. Study indicates that there is no hope for controlling the  pandemic in near future because the average weekly growth index of COVID-19 pandemic is far from zero.

Keywords:
COVID-19, growth index, control chart, EWMA.

Article Details

How to Cite
Singh, B. P., V., M. J., Tiwari, A. K., Singh, S., & Das, U. D. (2020). Evaluation of EWMA Control Charts for Monitoring Spread of Transformed Observations of COVID-19 in India. Asian Journal of Research in Infectious Diseases, 5(2), 25-36. https://doi.org/10.9734/ajrid/2020/v5i230165
Section
Original Research Article

References

World Health Organization (WHO). World situation report; 2020. Available:https://www.who.int/emergencies/diseases/novelcoronavirus-2019/situation-reports

Shewhart WA. Economic control of quality of manufactured product. Macmillan And Co Ltd, London; 1931.

Mohammed MA, Cheng KK, Rouse A, Marshall T. Bristol, shipman, and clinical governance: Shewhart's forgotten lessons. The Lancet. 2001;357(9254):463-467.

Tennant R, Mohammed MA, Coleman JJ, Martin U. Monitoring patients using control charts: a systematic review. International Journal for Quality in Health Care. 2007; 19(4):187-194.

Berwick DM. Continuous improvement as an ideal in health care. The New England Journal of Medicine. 1989;320(1): 53–56.

Finison LJ, Finison KS, Bliersbach CM. The use of control charts to improve healthcare quality. Journal for Healthcare Quality: Official Publication of the National Association for Healthcare Quality. 1993; 15(1):9–23.

Finison LJ, Finison KS. Applying control charts to quality improvement. Journal for Healthcare Quality: Official Publication of the National Association for Healthcare Quality. 1996;18(6):32–41.

Benneyan JC. Statistical quality control methods in infection control and hospital epidemiology, part I: Introduction and basic theory. Infection Control and Hospital Epidemiology.1998;19(3):194–214.

MacCarthy B, Wasusri T. A review of non-standard applications of statistical rocess control (SPC) charts. International Journal of Quality & Reliability Management. 2002; 19:295-320.

Clemente F, Papi M, Pontecorvi L, Menichetti A. Evaluation of indices for the measurement of quality in health systems. International Journal of Metrology and Quality Engineering. 2016; 7(4):405.

Suman G, Prajapati D. Control chart applications in healthcare: A literature review. International Journal of Metrology and Quality Engineering. 2018; 9(5).

Wiemken TL, Furmanek SP, Carrico RM, Mattingly WA, Persaud AK, Guinn BE, Ramirez JA. Process control charts in infection prevention: Make it simple to make it happen. American Journal of Infection Control. 2017;45(3):216-221.

Woodall, WH. The use of control charts in health-care and public-health surveillance. Journal of Quality Technology. 2006; 38(2):89-104.

Morton AP, Whitby M, McLaws ML, Dobson A, McElwain S, Looke D, Sartor A. The application of statistical process control charts to the detection and monitoring of hospital‐acquired infections. Journal of Quality in Clinical Practice. 2001;21(4):112-117.

Glasziou P, Irwig L, Mant D. Monitoring in chronic disease: A rational approach. Bmj. 2005;330(7492):644-648.

Available:https://dx.doi.org/10.1136%2Fbmj.330.7492.644

Perla RJ, Provost SM, Parry GJ, Little K, Provost LP. Understanding variation in covid-19 reported deaths with a novel shewhart chart application. International Journal for Quality in Health Care: Journal of the International Society for Quality in Health Care; 2020.

Liu L, Yue J, Lai X, Huang J, Zhang J. Multivariate nonparametric chart for influenza epidemic monitoring. Scientific Reports. 2019;9(1):1-11.

Montgomery DC. Introduction to statistical quality control, John Wiley & Sons, Inc., New York; 1996.

Pawłowski Z. Predykcja za pomocą kart kontrolnych, Przegląd Statystyczny, Tom XVI, Zeszyt 1969;3-4:203-220. COVID-19; 2019. Available: https://www.covid19india.org

Stephen V, Crowder, Marc D Hamilton. An EWMA for Monitoring a Process Standard Deviation. Journal of Quality Technology. 1992;24(1):12-21.