Research Topics
| Hiroshi NishiuraSummaryAffiliation: The University of Hong Kong Country: China Publications
| Collaborators
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Detail Information
Publications
Sample size considerations for one-to-one animal transmission studies of the influenza A virusesHiroshi Nishiura
School of Public Health, The University of Hong Kong, Hong Kong SAR, China
PLoS ONE 8:e55358. 2013..The analyses are illustrated on transmission studies of influenza A viruses in the ferret model...- Estimating the transmission potential of supercritical processes based on the final size distribution of minor outbreaksHiroshi Nishiura
School of Public Health, The University of Hong Kong, Level 6, Core F, Cyberport 3, 100 Cyberport Road, Pokfulam, Hong Kong PRESTO, Japan Science and Technology Agency, Saitama 332 0012, Japan
J Theor Biol 294:48-55. 2012.... - Theoretical basis to measure the impact of short-lasting control of an infectious disease on the epidemic peakRyosuke Omori
Department of Biology, Faculty of Sciences, Kyushu University, 6 10 1 Hakozaki, Higashi ku, Fukuoka 812 8581, Japan
Theor Biol Med Model 8:2. 2011..As a first step to address this issue, we present a theoretical basis on which to assess the impact of an early intervention on the epidemic peak, employing a simple epidemic model... - Fever screening during the influenza (H1N1-2009) pandemic at Narita International Airport, JapanHiroshi Nishiura
PRESTO, Japan Science and Technology Agency, 4 1 8 Honcho, Kawaguchi, Saitama 332 0012, Japan
BMC Infect Dis 11:111. 2011..We aimed to retrospectively assess the feasibility of detecting influenza cases based on fever screening as a sole measure... - Did modeling overestimate the transmission potential of pandemic (H1N1-2009)? Sample size estimation for post-epidemic seroepidemiological studiesHiroshi Nishiura
PRESTO, Japan Science and Technology Agency, Saitama, Japan
PLoS ONE 6:e17908. 2011..Seroepidemiological studies before and after the epidemic wave of H1N1-2009 are useful for estimating population attack rates with a potential to validate early estimates of the reproduction number, R, in modeling studies... - Real-time forecasting of an epidemic using a discrete time stochastic model: a case study of pandemic influenza (H1N1-2009)Hiroshi Nishiura
PRESTO, Japan Science and Technology Agency, 4 1 8 Honcho, Kawaguchi, Saitama, Japan
Biomed Eng Online 10:15. 2011..Real-time forecasting of epidemics, especially those based on a likelihood-based approach, is understudied. This study aimed to develop a simple method that can be used for the real-time epidemic forecasting... - Increased risk of noninfluenza respiratory virus infections associated with receipt of inactivated influenza vaccineBenjamin J Cowling
School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
Clin Infect Dis 54:1778-83. 2012..40; 95% confidence interval: 1.31-14.8). Being protected against influenza, TIV recipients may lack temporary non-specific immunity that protected against other respiratory viruses... - Household transmission of 2009 pandemic influenza A (H1N1): a systematic review and meta-analysisLincoln L H Lau
School of Public Health, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
Epidemiology 23:531-42. 2012..During the 2009 influenza A (H1N1) pandemic, household transmission studies were implemented to better understand the characteristics of the transmission of the novel virus in a confined setting... - The feasibility of age-specific travel restrictions during influenza pandemicsElson H Y Lam
School of Public Health, The University of Hong Kong, Pokfulam, Hong Kong, People s Republic of China
Theor Biol Med Model 8:44. 2011..Influenza is, however, strongly influenced by age-dependent transmission dynamics, and the effectiveness of age-specific travel restrictions, such as the selective restriction of travel by children, has yet to be examined... 
The epidemiological and public health research response to 2009 pandemic influenza A(H1N1): experiences from Hong KongPeng Wu
School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China PRESTO, Japan Science and Technology Agency, Saitama, Japan
Influenza Other Respi Viruses 7:367-82. 2013..The experiences of the research response in Hong Kong could provide a template for the research response to future emerging and reemerging disease epidemics...- Excess mortality associated with influenza A and B virus in Hong Kong, 1998-2009Peng Wu
School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China
J Infect Dis 206:1862-71. 2012..Although deaths associated with laboratory-confirmed influenza virus infections are rare, the excess mortality burden of influenza estimated from statistical models may more reliably quantify the impact of influenza in a population... - Entry screening to delay local transmission of 2009 pandemic influenza A (H1N1)Benjamin J Cowling
School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, People s Republic of China
BMC Infect Dis 10:82. 2010..After the WHO issued the global alert for 2009 pandemic influenza A (H1N1), many national health agencies began to screen travelers on entry in airports, ports and border crossings to try to delay local transmission... - The virulence of pandemic influenza A (H1N1) 2009: an epidemiological perspective on the case-fatality ratioHiroshi Nishiura
PRESTO, Japan Science and Technology Agency, Saitama, Japan and Theoretical Epidemiology, University of Utrecht, Yalelaan 7, Utrecht, 3584 CL, The Netherlands
Expert Rev Respir Med 4:329-38. 2010.... - Transmissibility of seasonal and pandemic influenza in a cohort of households in Hong Kong in 2009Brendan Klick
School of Public Health, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
Epidemiology 22:793-6. 2011..The household secondary attack proportion (SAP) is commonly used to measure the transmissibility of an infectious disease... - An analysis of national target groups for monovalent 2009 pandemic influenza vaccine and trivalent seasonal influenza vaccines in 2009-10 and 2010-11Sophia Ng
School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
BMC Infect Dis 11:230. 2011..To understand differential patterns of national target groups for influenza vaccination before, during and after the 2009 influenza pandemic, we reviewed and analyzed the country-specific policies in the corresponding time periods... - Optimal design of intervention studies to prevent influenza in healthy cohortsBrendan Klick
Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, People s Republic of China
PLoS ONE 7:e35166. 2012..Influenza infections and illnesses can be identified through a number of approaches with different costs and logistical requirements... - Pros and cons of estimating the reproduction number from early epidemic growth rate of influenza A (H1N1) 2009Hiroshi Nishiura
PRESTO, Japan Science and Technology Agency, Honcho 4 1 8, Kawaguchi, Saitama, 332 0012, Japan
Theor Biol Med Model 7:1. 2010..The growth rate at the initial stage of the epidemic in Japan led to estimates for R in the range 2.0 to 2.6, capturing the intensity of the initial outbreak among school-age children in May 2009... - Travel and age of influenza A (H1N1) 2009 virus infectionHiroshi Nishiura
PRESTO, Japan Science and Technology Agency, Saitama, Japan
J Travel Med 17:269-70. 2010..01) reflecting age-specific travel patterns. Border controls should account for the high frequency of infection among adults... - How is vaccine effectiveness scaled by the transmission dynamics of interacting pathogen strains with cross-protective immunity?Ryosuke Omori
School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong SAR, People s Republic of China
PLoS ONE 7:e50751. 2012..e. vaccine and non-vaccine strains... - Assortativity and the Probability of Epidemic Extinction: A Case Study of Pandemic Influenza A (H1N1-2009)Hiroshi Nishiura
PRESTO, Japan Science and Technology Agency, Saitama 332 0012, Japan
Interdiscip Perspect Infect Dis 2011:194507. 2011.... - Estimation of the incubation period of influenza A (H1N1-2009) among imported cases: addressing censoring using outbreak data at the origin of importationHiroshi Nishiura
PRESTO, Japan Science and Technology Agency, Saitama, Japan
J Theor Biol 272:123-30. 2011..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... - Time variations in the generation time of an infectious disease: implications for sampling to appropriately quantify transmission potentialHiroshi Nishiura
PRESTO, Japan Science and Technology Agency JST, 4 1 8 Honcho Kawaguchi, Saitama 332 0012, Japan
Math Biosci Eng 7:851-69. 2010..Mathematical properties of the generation time distribution in a heterogeneously mixing population need to be clarified further... 
[A robust statistic AC₁ for assessing inter-observer agreement in reliability studies]Hiroshi Nishiura
PRESTO, Japan Science and Technology Agency
Nihon Hoshasen Gijutsu Gakkai Zasshi 66:1485-91. 2010..AC₁ adjusts chance agreement more appropriately than kappa and is regarded as a more useful measurement for assessing inter-observer agreement, especially when prevalence is small...- Correcting the actual reproduction number: a simple method to estimate R(0) from early epidemic growth dataHiroshi Nishiura
PRESTO, Japan Science and Technology Agency, Saitama, 332 0012, Japan
Int J Environ Res Public Health 7:291-302. 2010..60 to 3.74, consistent with those based on the Euler-Lotka equation. The method also permits calculating the expected value of R(0) using a spreadsheet...