Publications
153 results found
Aldridge RW, Yates TA, Zenner D, et al., 2014, Pre-entry screening programmes for tuberculosis in migrants to low-incidence countries: a systematic review and meta-analysis, Lancet Infectious Diseases, Vol: 14, Pages: 1240-1249, ISSN: 1473-3099
Roenn M, Hughes G, White P, et al., 2014, Characteristics of LGV repeaters: analysis of LGV surveillance data, SEXUALLY TRANSMITTED INFECTIONS, Vol: 90, Pages: 275-278, ISSN: 1368-4973
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- Citations: 13
Althaus CL, Turner KME, Mercer CH, et al., 2014, Scientific summary, HEALTH TECHNOLOGY ASSESSMENT, Vol: 18, Pages: XIX-+, ISSN: 1366-5278
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- Citations: 57
Rönn M, Hughes G, Simms I, et al., 2014, Challenges Presented by Re-Emerging Sexually Transmitted Infections in HIV Positive Men who have Sex with Men: An Observational Study of Lymphogranuloma Venereum in the UK, Journal of AIDS & Clinical Research, Vol: 5:329
Todd S, Diggle PJ, White PJ, et al., 2014, The spatiotemporal association of non-prescription retail sales with cases during the 2009 influenza pandemic in Great Britain, BMJ OPEN, Vol: 4, ISSN: 2044-6055
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- Citations: 10
Roenn M, Hughes G, Simms I, et al., 2013, Challenges presented by re-emerging sexually transmitted infections: an observational study of lymphogranuloma venereum in the UK, National Conference on Public Health Science - Dedicated to New Research in Public Health, Publisher: ELSEVIER SCIENCE INC, Pages: 86-86, ISSN: 0140-6736
Mercer CH, Macdonald N, Shirley MDF, et al., 2013, The Maximising STI Control (MSTIC) webtool: a new approach to facilitate the planning of services for sexually transmitted infections to maximise public health benefit, National Conference on Public Health Science - Dedicated to New Research in Public Health, Publisher: ELSEVIER SCIENCE INC, Pages: 6-6, ISSN: 0140-6736
Pareek M, Bond M, Shorey J, et al., 2013, Community-based evaluation of immigrant tuberculosis screening using interferon γ release assays and tuberculin skin testing: observational study and economic analysis, THORAX, Vol: 68, Pages: 230-239, ISSN: 0040-6376
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- Citations: 58
Mercer CH, Aicken CRH, Estcourt CS, et al., 2012, Building the bypass-implications of improved access to sexual healthcare: evidence from surveys of patients attending contrasting genitourinary medicine clinics across England in 2004/2005 and 2009, SEXUALLY TRANSMITTED INFECTIONS, Vol: 88, Pages: 9-15, ISSN: 1368-4973
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- Citations: 15
Bolotin S, Pebody R, White PJ, et al., 2012, A New Sentinel Surveillance System for Severe Influenza in England Shows a Shift in Age Distribution of Hospitalised Cases in the Post-Pandemic Period, PLOS ONE, Vol: 7, ISSN: 1932-6203
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- Citations: 36
Pareek M, Abubakar I, White PJ, et al., 2011, UK immigrant screening is inversely related to regional tuberculosis burden, THORAX, Vol: 66, Pages: 1010-1010, ISSN: 0040-6376
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- Citations: 6
House T, Baguelin M, Van Hoek AJ, et al., 2011, Modelling the impact of local reactive school closures on critical care provision during an influenza pandemic, PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, Vol: 278, Pages: 2753-2760, ISSN: 0962-8452
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- Citations: 46
Jit M, Stagg HR, Aldridge RW, et al., 2011, Dedicated outreach service for hard to reach patients with tuberculosis in London: observational study and economic evaluation, BMJ-BRITISH MEDICAL JOURNAL, Vol: 343, ISSN: 1756-1833
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- Citations: 72
Fox J, White PJ, Weber J, et al., 2011, Could we, should we? Yes, AIDS, Vol: 25, Pages: 1801-1801, ISSN: 0269-9370
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- Citations: 1
Pebody RG, Harris R, Kafatos G, et al., 2011, Use of antiviral drugs to reduce household transmission of pandemic (H1N1) 2009, United Kingdom., Emerg Infect Dis, Vol: 17, Pages: 990-999
The United Kingdom implemented a containment strategy for pandemic (H1N1) 2009 through administering antiviral agents (AVs) to patients and their close contacts. This observational household cohort study describes the effect of AVs on household transmission. We followed 285 confirmed primary cases in 259 households with 761 contacts. At 2 weeks, the confirmed secondary attack rate (SAR) was 8.1% (62/761) and significantly higher in persons <16 years of age than in those >50 years of age (18.9% vs. 1.2%, p<0.001). Early (<48 hours) treatment of primary case-patients reduced SAR (4.5% vs. 10.6%, p = 0.003). The SAR in child contacts was 33.3% (10/30) when the primary contact was a woman and 2.9% (1/34) when the primary contact was a man (p = 0.010). Of 53 confirmed secondary case-patients, 45 had not received AV prophylaxis. The effectiveness of AV prophylaxis in preventing infection was 92%.
Pebody RG, Harris R, Kafatos G, et al., 2011, Use of Antiviral Drugs to Reduce Household Transmission of Pandemic (H1N1) 2009, United Kingdom, EMERGING INFECTIOUS DISEASES, Vol: 17, Pages: 990-999, ISSN: 1080-6040
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- Citations: 38
Pareek M, Watson JP, Ormerod LP, et al., 2011, Screening of immigrants in the UK for imported latent tuberculosis: a multicentre cohort study and cost-effectiveness analysis, LANCET INFECTIOUS DISEASES, Vol: 11, Pages: 435-444, ISSN: 1473-3099
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- Citations: 159
Fox J, White PJ, Weber J, et al., 2011, Quantifying sexual exposure to HIV within an HIV-serodiscordant relationship: development of an algorithm., AIDS, Vol: 25, Pages: 1065-1082
The risk of acquiring HIV from a single sexual contact varies enormously reflecting biological and behavioural characteristics of both infected and uninfected partners. Accurate information on HIV transmission risk is required to construct evidence-based risk reduction practices for individuals, to direct the provision of prevention strategies at the population level, and enable the definition, quantification and comparison of true exposure in individuals termed 'exposed uninfected' within clinical trials.
Keeling MJ, White PJ, 2011, Targeting vaccination against novel infections: risk, age and spatial structure for pandemic influenza in Great Britain, JOURNAL OF THE ROYAL SOCIETY INTERFACE, Vol: 8, Pages: 661-670, ISSN: 1742-5689
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- Citations: 33
Pareek M, Abubakar I, White PJ, et al., 2011, Tuberculosis screening of migrants to low-burden nations: insights from evaluation of UK practice, EUROPEAN RESPIRATORY JOURNAL, Vol: 37, Pages: 1175-1182, ISSN: 0903-1936
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- Citations: 41
Aicken CRH, Cassell JA, Estcourt CS, et al., 2011, Rationale and development of a survey tool for describing and auditing the composition of, and flows between, specialist and community clinical services for sexually transmitted infections, BMC HEALTH SERVICES RESEARCH, Vol: 11
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- Citations: 9
Campbell CNJ, Mytton OT, McLean EM, et al., 2011, Hospitalisation in two waves of pandemic influenza A(H1N1) in England, Epidemiology and Infection, Vol: 139, Pages: 1560-1569
Flasche S, Hens N, Boëlle P-Y, et al., 2011, Different transmission patterns in the early stages of the influenza A(H1N1)v pandemic: a comparative analysis of 12 European countries, Epidemics, Vol: 3, Pages: 125-133
Birrell PJ, Ketsetzis G, Gay NJ, et al., 2011, Bayesian modelling to unmask and predict the influenza A/H1N1pdm dynamics in London, Proceedings of the National Academy of Sciences of the USA
Johnson LF, White PJ, 2011, A review of mathematical models of HIV/AIDS interventions and their implications for policy, Sexually Transmitted Infections
McLean E, Pebody RG, Campbell C, et al., 2010, Pandemic (H1N1) 2009 influenza in the UK: clinical and epidemiological findings from the first few hundred (FF100) cases, EPIDEMIOLOGY AND INFECTION, Vol: 138, Pages: 1531-1541, ISSN: 0950-2688
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- Citations: 64
Dodd PJ, White PJ, Garnett GP, 2010, Notions of synergy for combinations of interventions against infectious diseases in heterogeneously mixing populations, MATHEMATICAL BIOSCIENCES, Vol: 227, Pages: 94-104, ISSN: 0025-5564
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- Citations: 15
Eames KTD, Tilston NL, White PJ, et al., 2010, The impact of illness and the impact of school closure on social contact patterns., Health Technol Assess, Vol: 14, Pages: 267-312
BACKGROUND: Mathematical models, based on data describing normal patterns of social mixing, are used to understand epidemics in order to predict patterns of disease spread and plan interventions and responses. However, individuals who are ill show behavioural changes that affect their social mixing patterns and predictive models should take into account these changes if they are to be effective. OBJECTIVES: To describe and quantify the changes in (1) social contact behaviour experienced by individuals when they are ill with pandemic H1N1 influenza (swine flu) and (2) mixing patterns of school children that take place as a result of swine flu-related school closures. METHODS: For the first part of the study, a self-completed questionnaire-based study was carried out in the autumn/winter of 2009-10. The study population was individuals who had been diagnosed with swine flu and who received a swine flu antiviral prescription from an antiviral distribution centre (ADC). It consisted of an initial survey to be filled in when participants were symptomatic with swine flu and a follow-up survey to be filled in when they had recovered. Each part of the questionnaire had two sections: patient details and a contact diary. The second part of the study was adapted to quantify the difference in mixing patterns of pupils between the school term and the half-term holiday as school closures did not occur during the study period. Eight schools participated and questionnaire packs were distributed to them, containing two surveys: one to be filled in during the school term and one during the spring half-term holiday. RESULTS: For the patient study, approximately 3800 surveys were distributed by 31 ADCs. Overall, 317 responses to the initial survey were received and 179 participants returned the follow-up survey. For all types of a contact, except contacts made at home, there were highly significant differences in contact behaviour (Wilcoxon signed-rank test, p < 0.001). Individuals
Eames KTD, Tilston NL, White PJ, et al., 2010, The impact of illness and the impact of school closure on social contact patterns, HEALTH TECHNOLOGY ASSESSMENT, Vol: 14, Pages: 279-+, ISSN: 1366-5278
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- Citations: 16
White PJ, Garnett GP, 2010, Mathematical modelling of the epidemiology of tuberculosis, Modelling Parasite Transmission and Control, Editors: Michael, Spear, Publisher: Springer Verlag, Pages: 127-140, ISBN: 9781441960634
Despite the infectious agent that causes tuberculosis having been discovered in 1882,many aspects of the natural history and transmission dynamics of TB are still not fullyunderstood. This is reflected in differences in the structures of mathematical modelsof TB, which in turn produce differences in the predicted impacts of interventions.
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