Determinants of the Final Size and Case Rate of Nosocomial Outbreaks.

Amy Hurford, Alice L Lin, Jianhong Wu
Author Information
  1. Amy Hurford: Biology Department, Memorial University of Newfoundland, St John's, Newfoundland, Canada; Mathematics and Statistics Department, Memorial University of Newfoundland, St John's, Newfoundland, Canada.
  2. Alice L Lin: Life Sciences Program, Queen's University, Kingston, Ontario, Canada.
  3. Jianhong Wu: Centre for Disease Modelling, York Institute for Health Research, Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada.

Abstract

Different nosocomial pathogen species have varying infectivity and durations of infectiousness, while the transmission route determines the contact rate between pathogens and susceptible patients. To determine if the pathogen species and transmission route affects the size and spread of outbreaks, we perform a meta-analysis that examines data from 933 outbreaks of hospital-acquired infection representing 14 pathogen species and 8 transmission routes. We find that the mean number of cases in an outbreak is best predicted by the pathogen species and the mean number of cases per day is best predicted by the species-transmission route combination. Our fitted model predicts the largest mean number of cases for Salmonella outbreaks (22.3) and the smallest mean number of cases for Streptococci outbreaks (8.5). The largest mean number of cases per day occurs during Salmonella outbreaks spread via the environment (0.33) and the smallest occurs for Legionella outbreaks spread by multiple transmission routes (0.005). When combined with information on the frequency of outbreaks these findings could inform the design of infection control policies in hospitals.

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Grants

  1. KL2 TR001118/NCATS NIH HHS
  2. UL1 TR001120/NCATS NIH HHS

MeSH Term

Cross Infection
Databases, Factual
Disease Outbreaks
Humans
Models, Statistical
Species Specificity
Time Factors

Word Cloud

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