ArticleBMC health services research2005
Simplicity within complexity: seasonality and predictability of hospital admissions in the province of Ontario 1988-2001, a population-based analysis.
Article in BMC health services research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- An analysis of paediatric clinical presentations in Northwest Syria and the effect of forced displacement, 2018-2022.Global epidemiology · 2024Article
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- Addressing the Knowledge Deficit in Hospital Bed Planning and Defining an Optimum Region for the Number of Different Types of Hospital Beds in an Effective Health Care System.International journal of environmental research and public health · 2023Review
- Ambient temperature and seasonal variation in inpatient mortality from respiratory diseases: a retrospective observational study.The Lancet regional health. Europe · 2023Article
- Seasonal pattern in elderly hospitalized with acute kidney injury: a retrospective nationwide study in Italy.International urology and nephrology · 2022Article
- A Comparison of Univariate and Multivariate Forecasting Models Predicting Emergency Department Patient Arrivals during the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2022Article
- Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study.Environmental health : a global access science source · 2021Observational
- Article
- Hip Fractures in Older Adults in Ontario, Canada-Monthly Variation, Insights, and Implications.Canadian geriatrics journal : CGJ · 2019Article
- Influence of vaccine-preventable diseases and HIV infection on demand for an infectious diseases service in Rio de Janeiro State, Brazil, over 22 years - Part II (1995-2016).Revista do Instituto de Medicina Tropical de Sao Paulo · 2019Article
- Article
- Nurse staffing and patient outcomes: a longitudinal study on trend and seasonality.BMC nursing · 2016Article
- Social responsibility of the hospitals in Isfahan city, Iran: Results from a cross-sectional survey.International journal of health policy and management · 2015Article
- The causes and consequences of seasonal variation in COPD exacerbations.International journal of chronic obstructive pulmonary disease · 2014Review
- Data-driven discovery of seasonally linked diseases from an Electronic Health Records system.BMC bioinformatics · 2014Article
- Predicting performance at medical school: can we identify at-risk students?Advances in medical education and practice · 2011Article
- Effect of meteorological variables on the incidence of lower urinary tract infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2009Article
- Seasonality of primary care utilization for respiratory diseases in Ontario: a time-series analysis.BMC health services research · 2008Article
- Effect of social factors on winter hospital admission for respiratory disease: a case-control study of older people in the UK.The British journal of general practice : the journal of the Royal College of General Practitioners · 2008Article
- Is equine colic seasonal? Novel application of a model based approach.BMC veterinary research · 2006Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeasonality is a common feature of communicable diseases. Less well understood is whether seasonal patterns occur for non-communicable diseases. The overall effect of seasonal fluctuations on hospital admissions has not been systematically evaluated.
methodsThis study employed time series methods on a population based retrospective cohort of for the fifty two most common causes of hospital admissions in the province of Ontario from 1988-2001. Seasonal patterns were assessed by spectral analysis and autoregressive methods. Predictive models were fit with regression techniques.
resultsThe results show that 33 of the 52 most common admission diagnoses are moderately or strongly seasonal in occurrence; 96.5% of the predicted values were within the 95% confidence interval, with 37 series having all values within the 95% confidence interval.
conclusionThe study shows that hospital admissions have systematic patterns that can be understood and predicted with reasonable accuracy. These findings have implications for understanding disease etiology and health care policy and planning.
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