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Serial intervals of respiratory infectious diseases: a systematic review and analysis.
- Source :
-
American journal of epidemiology [Am J Epidemiol] 2014 Nov 01; Vol. 180 (9), pp. 865-75. Date of Electronic Publication: 2014 Oct 07. - Publication Year :
- 2014
-
Abstract
- The serial interval of an infectious disease represents the duration between symptom onset of a primary case and symptom onset of its secondary cases. A good evidence base for such values is essential, because they allow investigators to identify epidemiologic links between cases and serve as an important parameter in epidemic transmission models used to design infection control strategies. We reviewed the literature for available data sets containing serial intervals and for reported values of serial intervals. We were able to collect data on outbreaks within households, which we reanalyzed to infer a mean serial interval using a common statistical method. We estimated the mean serial intervals for influenza A(H3N2) (2.2 days), pandemic influenza A(H1N1)pdm09 (2.8 days), respiratory syncytial virus (7.5 days), measles (11.7 days), varicella (14.0 days), smallpox (17.7 days), mumps (18.0 days), rubella (18.3 days), and pertussis (22.8 days). For varicella, we found an evidence-based value that deviates substantially from the 21 days commonly used in transmission models. This value of the serial interval for pertussis is, to the best of our knowledge, the first that is based on observations. Our review reveals that, for most infectious diseases, there is very limited evidence to support the serial intervals that are often cited.<br /> (© The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Subjects :
- Family Characteristics
Humans
Influenza, Human epidemiology
Respiratory Syncytial Virus Infections epidemiology
Respiratory Tract Infections transmission
Severe Acute Respiratory Syndrome epidemiology
Virus Diseases epidemiology
Disease Outbreaks
Models, Statistical
Respiratory Tract Infections epidemiology
Subjects
Details
- Language :
- English
- ISSN :
- 1476-6256
- Volume :
- 180
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- American journal of epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 25294601
- Full Text :
- https://doi.org/10.1093/aje/kwu209