TY - JOUR
T1 - Heterogeneous and dynamic prevalence of asymptomatic influenza virus infections
AU - Furuya-Kanamori, Luis
AU - Cox, Mitchell
AU - Milinovich, Gabriel J.
AU - Soares Magalhaes, Ricardo J.
AU - Mackay, Ian M.
AU - Yakob, Laith
N1 - Publisher Copyright:
© 2016, Centers for Disease Control and Prevention (CDC). All rights reserved.
PY - 2016/6
Y1 - 2016/6
N2 - Influenza infection manifests in a wide spectrum of severity, including symptomless pathogen carriers. We conducted a systematic review and meta-analysis of 55 studies to elucidate the proportional representation of these asymptomatic infected persons. We observed extensive heterogeneity among these studies. The prevalence of asymptomatic carriage (total absence of symptoms) ranged from 5.2% to 35.5% and subclinical cases (illness that did not meet the criteria for acute respiratory or influenza-like illness) from 25.4% to 61.8%. Statistical analysis showed that the heterogeneity could not be explained by the type of influenza, the laboratory tests used to detect the virus, the year of the study, or the location of the study. Projections of infection spread and strategies for disease control require that we identify the proportional representation of these insidious spreaders early on in the emergence of new influenza subtypes or strains and track how this rate evolves over time and space.
AB - Influenza infection manifests in a wide spectrum of severity, including symptomless pathogen carriers. We conducted a systematic review and meta-analysis of 55 studies to elucidate the proportional representation of these asymptomatic infected persons. We observed extensive heterogeneity among these studies. The prevalence of asymptomatic carriage (total absence of symptoms) ranged from 5.2% to 35.5% and subclinical cases (illness that did not meet the criteria for acute respiratory or influenza-like illness) from 25.4% to 61.8%. Statistical analysis showed that the heterogeneity could not be explained by the type of influenza, the laboratory tests used to detect the virus, the year of the study, or the location of the study. Projections of infection spread and strategies for disease control require that we identify the proportional representation of these insidious spreaders early on in the emergence of new influenza subtypes or strains and track how this rate evolves over time and space.
UR - http://www.scopus.com/inward/record.url?scp=84969220016&partnerID=8YFLogxK
U2 - 10.3201/eid2206.151080
DO - 10.3201/eid2206.151080
M3 - Article
SN - 1080-6040
VL - 22
SP - 1052
EP - 1056
JO - Emerging Infectious Diseases
JF - Emerging Infectious Diseases
IS - 6
ER -