Research experience
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Sep 2004–
presentResearch: The University of Hong Kong
The University of Hong Kong · School of Public HealthHong Kong · Hong Kong -
Sep 2003–
Aug 2004Research: Imperial College London
Imperial College London · Department of Infectious Disease EpidemiologyUnited Kingdom · London
Education
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Sep 2000–
Aug 2003The University of Warwick
Medical Statistics · PhDUnited Kingdom · Coventry -
Sep 1997–
Jul 2000The University of Warwick
MORSE (Mathematics, Operational Research, Statistics, Economics) · BScUnited Kingdom · Coventry
Other
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Scientific MembershipsRoyal Statistical Society; American Statistical Association; International Society for Influenza and other Respiratory Virus Diseases
Publications (153) View all
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Article: A comparative epidemiologic analysis of SARS in Hong Kong, Beijing and Taiwan
Eric Lau, Hsiung C Agnes, Benjamin Cowling, Chang-Hsun Chen, Lai-Ming Ho, Thomas Tsang, Chiu-Wen Chang, Christl Donnelly, Gabriel Leung[show abstract] [hide abstract]
ABSTRACT: Abstract Background The 2002-2003 Severe Acute Respiratory Syndrome (SARS) outbreak infected 8,422 individuals leading to 916 deaths around the world. However, there have been few epidemiological studies of SARS comparing epidemiologic features across regions. The aim of this study is to identify similarities and differences in SARS epidemiology in three populations with similar host and viral genotype. Methods We present a comparative epidemiologic analysis of SARS, based on an integrated dataset with 3,336 SARS patients from Hong Kong, Beijing and Taiwan, epidemiological and clinical characteristics such as incubation, onset-to-admission, onset-to-discharge and onset-to-death periods, case fatality ratios (CFRs) and presenting symptoms are described and compared between regions. We further explored the influence of demographic and clinical variables on the apparently large differences in CFRs between the three regions. Results All three regions showed similar incubation periods and progressive shortening of the onset-to-admission interval through the epidemic. Adjusted for sex, health care worker status and nosocomial setting, older age was associated with a higher fatality, with adjusted odds ratio (AOR): 2.10 (95% confidence interval: 1.45, 3.04) for those aged 51-60; AOR: 4.57 (95% confidence interval: 3.32, 7.30) for those aged above 60 compared to those aged 41-50 years. Presence of pre-existing comorbid conditions was also associated with greater mortality (AOR: 1.74; 95% confidence interval: 1.36, 2.21). Conclusion The large discrepancy in crude fatality ratios across the three regions can only be partly explained by epidemiological and clinical heterogeneities. Our findings underline the importance of a common data collection platform, especially in an emerging epidemic, in order to identify and explain consistencies and differences in the eventual clinical and public health outcomes of infectious disease outbreaks, which is becoming increasingly important in our highly interconnected world.BMC Infectious Diseases. 01/2010; -
SourceAvailable from: Benjamin J Cowling
Article: Situational awareness and health protective responses to pandemic influenza A (H1N1) in Hong Kong: a cross-sectional study.
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ABSTRACT: Whether information sources influence health protective behaviours during influenza pandemics or other emerging infectious disease epidemics is uncertain. Data from cross-sectional telephone interviews of 1,001 Hong Kong adults in June, 2009 were tested against theory and data-derived hypothesized associations between trust in (formal/informal) information, understanding, self-efficacy, perceived susceptibility and worry, and hand hygiene and social distancing using Structural Equation Modelling with multigroup comparisons. Trust in formal (government/media) information about influenza was associated with greater reported understanding of A/H1N1 cause (β = 0.36) and A/H1N1 prevention self-efficacy (β = 0.25), which in turn were associated with more hand hygiene (β = 0.19 and β = 0.23, respectively). Trust in informal (interpersonal) information was negatively associated with perceived personal A/H1N1 susceptibility (β = -0.21), which was negatively associated with perceived self-efficacy (β = -0.42) but positively associated with influenza worry (β = 0.44). Trust in informal information was positively associated with influenza worry (β = 0.16) which was in turn associated with greater social distancing (β = 0.36). Multigroup comparisons showed gender differences regarding paths from trust in formal information to understanding of A/H1N1 cause, trust in informal information to understanding of A/H1N1 cause, and understanding of A/H1N1 cause to perceived self-efficacy. Trust in government/media information was more strongly associated with greater self-efficacy and handwashing, whereas trust in informal information was strongly associated with perceived health threat and avoidance behaviour. Risk communication should consider the effect of gender differences.PLoS ONE 01/2010; 5(10):e13350. · 4.09 Impact Factor -
Article: Entry screening to delay local transmission of 2009 pandemic influenza A (H1N1)
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ABSTRACT: Abstract Background 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. Methods We reviewed entry screening policies adopted by different nations and ascertained dates of official report of the first laboratory-confirmed imported H1N1 case and the first laboratory-confirmed untraceable or 'local' H1N1 case. Results Implementation of entry screening policies was associated with on average additional 7-12 day delays in local transmission compared to nations that did not implement entry screening, with lower bounds of 95% confidence intervals consistent with no additional delays and upper bounds extending to 20-30 day additional delays. Conclusions Entry screening may lead to short-term delays in local transmission of a novel strain of influenza virus. The resources required for implementation should be balanced against the expected benefits of entry screening.BMC Infectious Diseases. 01/2010; -
Article: Oseltamivir for treatment and prevention of pandemic influenza A/H1N1 virus infection in households, Milwaukee, 2009
Edward Goldstein, Benjamin Cowling, Justin O'Hagan, Leon Danon, Vicky Fang, Angela Hagy, Joel Miller, David Reshef, James Robins, Paul Biedrzycki, Marc Lipsitch[show abstract] [hide abstract]
ABSTRACT: Abstract Background During an influenza pandemic, a substantial proportion of transmission is thought to occur in households. We used data on influenza progression in individuals and their contacts collected by the City of Milwaukee Health Department (MHD) to study the transmission of pandemic influenza A/H1N1 virus in 362 households in Milwaukee, WI, and the effects of oseltamivir treatment and chemoprophylaxis. Methods 135 households had chronological information on symptoms and oseltamivir usage for all household members. The effect of oseltamivir treatment and other factors on the household secondary attack rate was estimated using univariate and multivariate logistic regression with households as the unit of analysis. The effect of oseltamivir treatment and other factors on the individual secondary attack rate was estimated using univariate and multivariate logistic regression with individual household contacts as the unit of analysis, and a generalized estimating equations approach was used to fit the model to allow for clustering within households. Results Oseltamivir index treatment on onset day or the following day (early treatment) was associated with a 42% reduction (OR: 0.58, 95% CI: 0.19, 1.73) in the odds of one or more secondary infections in a household and a 50% reduction (OR: 0.5, 95% CI: 0.17, 1.46) in the odds of a secondary infection in individual contacts. The confidence bounds are wide due to a small sample of households with early oseltamivir index usage - in 29 such households, 5 had a secondary attack. Younger household contacts were at higher risk of infection (OR: 2.79, 95% CI: 1.50-5.20). Conclusions Early oseltamivir treatment may be beneficial in preventing H1N1pdm influenza transmission; this may have relevance to future control measures for influenza pandemics. Larger randomized trials are needed to confirm this finding statistically.BMC Infectious Diseases. 01/2010; -
Article: Excess mortality associated with influenza A and B virus in Hong Kong, 1998-2009.
Peng Wu, Edward Goldstein, Lai Ming Ho, Lin Yang, Hiroshi Nishiura, Joseph T Wu, Dennis K M Ip, Shuk-Kwan Chuang, Thomas Tsang, Benjamin J Cowling[show abstract] [hide abstract]
ABSTRACT: Background. While 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.Methods. We applied age-specific multiple linear regression models to all-cause and cause-specific mortality rates in Hong Kong from 1998 through 2009. The differences between estimated mortality rates in the presence or absence of recorded influenza activity were used to estimate influenza-associated excess mortality.Results. The annual influenza-associated all-cause excess mortality rate was 11.1 (95% confidence interval, CI: 7.2-14.6) per 100,000 person-years. We estimated an average of 751 (95% CI: 488-990) excess deaths associated with influenza annually from 1998 through 2009, with 95% of the excess deaths occurring in elderly aged ≥65 years. Most of the influenza-associated excess deaths were from respiratory (53%) and cardiovascular (18%) causes. Influenza A(H3N2) epidemics were associated with more excess deaths than influenza A(H1N1) or B during the study period.Conclusions. Influenza was associated with a substantial number of excess deaths each year, mainly among the elderly, in Hong Kong in the past decade. The influenza-associated excess mortality rates were generally similar in Hong Kong and the United States.The Journal of Infectious Diseases 10/2012; · 6.41 Impact Factor