Modelling of infectious diseases for providing signal of epidemics: A measles case study in Bangladesh

Journal of Health, Population and Nutrition

Volumn 29, Issue 6, 2011, Pages 567-573

  Sharmin, Sifat ^a   Rayhan, Israt ^a  

^a UNIVERSITY OF DHAKA   (Bangladesh)

Author keywords

Bangladesh; Communicable diseases; Disease models; Disease outbreaks; Seasonal autoregressive integrated moving average model; Statistical process control charts

Indexed keywords

MEASLES VACCINE;

ARTICLE; BANGLADESH; COMMUNICABLE DISEASE; EPIDEMIC; HUMAN; MEASLES; SEASON; STATISTICAL MODEL; STATISTICS;

BANGLADESH; COMMUNICABLE DISEASES; EPIDEMICS; HUMANS; MEASLES; MEASLES VACCINE; MODELS, STATISTICAL; SEASONS;

EID: 84857474206     PISSN: 16060997     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. Anderson RM, May RM. Infectious diseases of humans: dynamics and control. Oxford: Oxford University Press, 1991. 757 p.
2. Becker NG. Analysis of infectious disease data. London: Chapman and Hall, 1989. 224 p.
3. Woodall WH. The use of control charts in healthcare and public health surveillance. J Qual Technol 2006;38:89-104.
4. Benneyan JC. Statistical quality control methods in infection control and epidemiology, Part II: Chart use, statistical properties, and research issues. Infect Control Hosp Epidemiol 1998;19:265-83.
5. Trottier H, Philippe P, Roy R. Stochastic modeling of empirical time series of childhood infectious diseases data before and after mass vaccination. Emerg Themes Epidemiol 2006;3:9.
6. Williamson GD, Weatherby Hudson G. A monitoring system for detecting aberrations in public health surveillance reports. Stat Med 1999;18:3283-98.
7. Helfenstein U. Box-Jenkins modelling of some viral infectious diseases. Stat Med 1986;5:37-47.
8. Choi K, Thacker SB. An evaluation of influenza mortality surveillance, 1962-1979. I. Time series forecasts of expected pneumonia and influenza deaths. Am J Epidemiol 1981;113:215-26.
9. Choi K, Thacker SB. An evaluation of influenza mortality surveillance 1962-1979. II. Percentage of pneumonia and influenza deaths as an indicator of influenza activity. Am J Epidemiol 1981;113:227-35.
10. Allard R. Use of time-series analysis in infectious disease surveillance. Bull World Health Organ 1998; 76:327-33.
11. VanBrackle L, Williamson GD. A study of the average run length characteristics of the national notifiable diseases surveillance system. Stat Med 1999;18:3309-19.
12. World Health Organization. Bangladesh carries out mass measles campaign, the largest history. Geneva: World Health Organization. (http://www.who.int/immunization/newsroom/photos_measles_bangladesh/en/index1.html, accessed on 27 December 2010).
13. World Health Organization. Mortality country fact sheet 2006: Bangladesh. Geneva: World Health Organization, 2006. 2 p. (http://www.who.int/whosis/mort/profiles/mort_searo_bgd_bangladesh.pdf, accessed on 27 December 2010).
14. National Institute of Population Research and Training. Bangladesh demographic and health survey 2007. Dhaka: National Institute of Population Research and Training, 2009. 346 p.
15. National Institute of Population Research and Training. Bangladesh demographic and health survey 2004. Dhaka: National Institute of Population Research and Training, 2005. 343 p.
16. National Institute of Population Research and Training. Bangladesh demographic and health survey 1999-2000. Dhaka: National Institute of Population Research and Training, 2001. 211 p.
17. Box GEP, Jenkins GM. Time series analysis: forecasting and control. San Francisco: Holden-Day, 1976. 575 p.
18. Montgomery DC. Introduction to statistical quality control. 2nd ed. New York, NY: John Wiley and Sons, 1991. 702 p.
19. Armitage P. Statistical methods in medical research. Oxford: Blackwell Scientific Publications, 1971. 504 p.
20. Benneyan JC, Lloyd RC, Plsek PE. Statistical process control as a tool for research and healthcare improvement. Qual Saf Health Care 2003;12:458-64.