Literature DB >> 21168422

Estimation of the incubation period of influenza A (H1N1-2009) among imported cases: addressing censoring using outbreak data at the origin of importation.

Hiroshi Nishiura1, Hisashi Inaba.   

Abstract

Empirical estimates of the incubation period of influenza A (H1N1-2009) have been limited. We estimated the incubation period among confirmed imported cases who traveled to Japan from Hawaii during the early phase of the 2009 pandemic (n=72). We addressed censoring and employed an infection-age structured argument to explicitly model the daily frequency of illness onset after departure. We assumed uniform and exponential distributions for the frequency of exposure in Hawaii, and the hazard rate of infection for the latter assumption was retrieved, in Hawaii, from local outbreak data. The maximum likelihood estimates of the median incubation period range from 1.43 to 1.64 days according to different modeling assumptions, consistent with a published estimate based on a New York school outbreak. The likelihood values of the different modeling assumptions do not differ greatly from each other, although models with the exponential assumption yield slightly shorter incubation periods than those with the uniform exposure assumption. Differences between our proposed approach and a published method for doubly interval-censored analysis highlight the importance of accounting for the dependence of the frequency of exposure on the survival function of incubating individuals among imported cases. A truncation of the density function of the incubation period due to an absence of illness onset during the exposure period also needs to be considered. When the data generating process is similar to that among imported cases, and when the incubation period is close to or shorter than the length of exposure, accounting for these aspects is critical for long exposure times.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 21168422     DOI: 10.1016/j.jtbi.2010.12.017

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  17 in total

1.  Optimal design of studies of influenza transmission in households. II: comparison between cohort and case-ascertained studies.

Authors:  B Klick; H Nishiura; G M Leung; B J Cowling
Journal:  Epidemiol Infect       Date:  2013-07-05       Impact factor: 2.451

2.  The serial intervals of seasonal and pandemic influenza viruses in households in Bangkok, Thailand.

Authors:  Jens W Levy; Benjamin J Cowling; James M Simmerman; Sonja J Olsen; Vicky J Fang; Piyarat Suntarattiwong; Richard G Jarman; Brendan Klick; Tawee Chotipitayasunondh
Journal:  Am J Epidemiol       Date:  2013-04-28       Impact factor: 4.897

3.  Estimating the Distribution of the Incubation Periods of Human Avian Influenza A(H7N9) Virus Infections.

Authors:  Victor Virlogeux; Ming Li; Tim K Tsang; Luzhao Feng; Vicky J Fang; Hui Jiang; Peng Wu; Jiandong Zheng; Eric H Y Lau; Yu Cao; Ying Qin; Qiaohong Liao; Hongjie Yu; Benjamin J Cowling
Journal:  Am J Epidemiol       Date:  2015-09-26       Impact factor: 4.897

4.  Incubation period as part of the case definition of severe respiratory illness caused by a novel coronavirus.

Authors:  H Nishiura; K Mizumoto; K Ejima; Y Zhong; Bj Cowling; R Omori
Journal:  Euro Surveill       Date:  2012-10-18

5.  The time required to estimate the case fatality ratio of influenza using only the tip of an iceberg: joint estimation of the virulence and the transmission potential.

Authors:  Keisuke Ejima; Ryosuke Omori; Benjamin J Cowling; Kazuyuki Aihara; Hiroshi Nishiura
Journal:  Comput Math Methods Med       Date:  2012-05-10       Impact factor: 2.238

6.  Fever screening during the influenza (H1N1-2009) pandemic at Narita International Airport, Japan.

Authors:  Hiroshi Nishiura; Kazuko Kamiya
Journal:  BMC Infect Dis       Date:  2011-05-03       Impact factor: 3.090

7.  Theoretical basis to measure the impact of short-lasting control of an infectious disease on the epidemic peak.

Authors:  Ryosuke Omori; Hiroshi Nishiura
Journal:  Theor Biol Med Model       Date:  2011-01-26       Impact factor: 2.432

8.  Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaks.

Authors:  Hiroshi Nishiura; Ping Yan; Candace K Sleeman; Charles J Mode
Journal:  J Theor Biol       Date:  2011-11-07       Impact factor: 2.691

9.  The impact of model building on the transmission dynamics under vaccination: observable (symptom-based) versus unobservable (contagiousness-dependent) approaches.

Authors:  Keisuke Ejima; Kazuyuki Aihara; Hiroshi Nishiura
Journal:  PLoS One       Date:  2013-04-12       Impact factor: 3.240

10.  Estimating the incidence reporting rates of new influenza pandemics at an early stage using travel data from the source country.

Authors:  K C Chong; H F Fong; C Y Zee
Journal:  Epidemiol Infect       Date:  2013-10-10       Impact factor: 2.451

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.