A multi-tiered time-series modelling approach to forecasting respiratory syncytial virus incidence at the local level

Epidemiology and Infection

Volumn 140, Issue 4, 2012, Pages 602-607

  Spaeder, M C ^a   Fackler, J C ^b  

^a CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

^b JOHNS HOPKINS HOSPITAL   (United States)

Author keywords

Modelling; respiratory infections; respiratory syncytial virus

Indexed keywords

ACCURACY; ADULT; ARTICLE; CALCULATION; CHILD; CONTROLLED STUDY; DISEASE SEVERITY; FORECASTING; HOSPITAL PATIENT; HUMAN; INCIDENCE; LABORATORY TEST; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; NEWBORN INTENSIVE CARE; PEDIATRIC HOSPITAL; PERIODICITY; PROCESS OPTIMIZATION; RESPIRATORY SYNCYTIAL PNEUMOVIRUS; RESPIRATORY SYNCYTIAL VIRUS INFECTION; RETROSPECTIVE STUDY; STATISTICAL MODEL; TIME SERIES ANALYSIS; VALIDATION PROCESS;

FORECASTING; HOSPITALIZATION; HUMANS; INCIDENCE; MODELS, STATISTICAL; POPULATION SURVEILLANCE; RESPIRATORY SYNCYTIAL VIRUS INFECTIONS; RESPIRATORY SYNCYTIAL VIRUSES; RETROSPECTIVE STUDIES; TIME FACTORS;

EID: 84858059232     PISSN: 09502688     EISSN: 14694409     Source Type: Journal    
DOI: 10.1017/S0950268811001026     Document Type: Article

References (20)

1. Shay DK, et al. Bronchiolitis-associated hospitalizations among US children, 1980-1996. Journal of the American Medical Association 1999; 282: 1440-1446. (Pubitemid 29493797)
2. Hall CB. Respiratory syncytial virus and parainfluenza virus. New England Journal of Medicine 2001; 344: 1917-1928. (Pubitemid 32553362)
3. Hall CB, et al. The burden of respiratory sycytial virus infection in young children. New England Journal of Medicine 2009; 360: 588-598.
4. Welliver RC, Checchia PA, Bauman JH. Fatality rates in published reports of RSV hospitalizations among high-risk and otherwise healthy children. Current Medical Research and Opinion 2010; 26: 2175-2181.
5. Thornburn K. Pre-existing disease is associated with a significantly higher risk of death in severe respiratory syncytial virus infection. Archives of Disease in Childhood 2009; 94: 99-103.
6. Wilkesmann A, et al. Hospitalized children with respiratory syncytial virus infection and neuromuscular mpairment face an increased risk of a complicated course. Pediatric Infectious Disease Journal 2007; 26: 485-491. (Pubitemid 46847308)
7. Welliver RC. Review of epidemiology and clinical risk factors for severe respiratory syncytial virus infection. Journal of Pediatrics 2003; 143: S112-S117. (Pubitemid 37456908)
8. Pickering LK, et al. (eds). Red Book: 2006 Report of the Committee on Infectious Diseases, 27th edn. Elk Grove Village, IL: American Academy of Pediatrics, 2006, pp. 560-566.
9. Centers for Disease Control and Prevention. Brief report: Respiratory syncytial virus activity - United States, July 2007-December 2008. Morbidity and Mortality Weekly Report 2008; 57: 1355-1358.
10. Boron ML, et al. A novel active respiratory syncytial virus surveillance system in the United States: variability in the local and regional incidence of infection. Pediatric Infectious Disease Journal 2008; 27: 1095-1098.
11. Allard R. Use of time-series analysis in infectious disease surveillance. Bulletin of the World Health Organization 1998; 76: 327-333. (Pubitemid 28469265)
12. Fernandez-Perez CJ, Tejada MC. Multivariate time series analysis in nosocomial infection surveillance: A case study. International Journal of Epidemiology 1998; 27: 282-288.
13. Luz PM, et al. Time series analysis of dengue incidence in Rio de Janeiro, Brazil. American Journal of Tropical Medicine and Hygiene 2008; 79: 933-939.
14. Spaeder MC, Fackler JC. Time series model to predict burden of viral respiratory illness on a pediatric intensive care unit. Medical Decision Making. Published online: 2 December 2010. doi: 10.1177/ 0272989X10388042.
15. Earnest A, et al. Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds during a SARS outbreak in a tertiary hospital in Singapore. BMC Health Services Research 2005; 5: 36.
16. Reis BY, Mandl KD. Time series modeling for syndromic surveillance. BMC Medical Informatics and Decision Making 2003; 3: 11.
17. Upshur REG. Time-series analysis of the relation between influenza virus and hospital admissions of the elderly in Ontario, Canada for pneumonia, chronic lung disease, and congestive heart failure. American Journal of Epidemiology 1999; 149: 85-92. (Pubitemid 29028865)
18. Wei WS. Time Series Analysis: Univariate and Multivariate Methods, 1st edn. Reading, MA: Addison Wesley, 1990.
19. Iwane MK, et al. Population-based surveillance for hospitalizations associated with respiratory syncytial virus, influenza virus, and parainfluenza viruses among young children. Pediatrics 2004; 113: 1758-1764. (Pubitemid 38697988)
20. Sandrock C, Stollenwerk N. Acute febrile respiratory illness in the ICU: Reducing disease transmission. Chest 2008; 133: 1221-1231. (Pubitemid 351685530)