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Rein M. G. J. Houben
University of London
ImmunologyDiseaseTuberculosisPopulationMedicine
82Publications
21H-index
1,691Citations
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Publications 87
Newest
#1Jon C Emery (Lond: University of London)H-Index: 1
#2Timothy W Russel (Lond: University of London)
Last. Sebastian Funk (Lond: University of London)H-Index: 31
view all 11 authors...
Background: Some key gaps in the understanding of SARS-CoV-2 infection remain. One of them is the contribution to transmission from individuals experiencing asymptomatic infections. We aimed to characterise the proportion and infectiousness of asymptomatic infections using data from the outbreak on the Diamond Princess cruise ship. Methods: We used a transmission model of COVID-19 with asymptomatic and presymptomatic states calibrated to outbreak data from the Diamond Princess, to quantify the c...
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#1Shammi Luhar (University of Cambridge)H-Index: 1
#1Shammi Luhar (University of Cambridge)
Last. Rein M. G. J. Houben (Lond: University of London)H-Index: 21
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Background In India, the prevalence of overweight and obesity has increased rapidly in recent decades. Given the association between overweight and obesity with many non-communicable diseases, forecasts of the future prevalence of overweight and obesity can help inform policy in a country where around one sixth of the world’s population resides. Methods We used a system of multi-state life tables to forecast overweight and obesity prevalence among Indians aged 20–69 years by age, sex and urban/r...
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#1Matthew Quaife (Lond: University of London)H-Index: 6
#2Rein M. G. J. Houben (Lond: University of London)H-Index: 21
Last. Robert S. WallisH-Index: 52
view all 11 authors...
1 CitationsSource
SETTING: In many high tuberculosis (TB) burden countries, there is substantial geographical heterogeneity in TB burden. In addition, decisions on TB funding and policy are highly decentralised. Subnational estimates of burden, however, are usually unavailable for planning and target setting.OBJECTIVE and DESIGN: We developed a statistical model termed SUBsET to estimate the distribution of the national TB incidence through a weighted score using selected variables, and applied the model to the 5...
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#1Gwenan M. Knight (Lond: University of London)H-Index: 14
#2C Finn McQuaid (Lond: University of London)H-Index: 2
Last. Rein M. G. J. Houben (Lond: University of London)H-Index: 21
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Summary Background To end the global tuberculosis epidemic, latent tuberculosis infection needs to be addressed. All standard treatments for latent tuberculosis contain drugs to which multidrug-resistant (MDR) Mycobacterium tuberculosis is resistant. We aimed to estimate the global burden of multidrug-resistant latent tuberculosis infection to inform tuberculosis elimination policy. Methods By fitting a flexible statistical model to tuberculosis drug resistance surveillance and survey data colla...
5 CitationsSource
#1K. DaleH-Index: 3
#2James M. Trauer (Monash University)H-Index: 11
Last. Justin T. Denholm (University of Melbourne)H-Index: 18
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BACKGROUND: The risk of progression to tuberculosis (TB) disease is greatest soon after infection, yet disease may occur many years or decades later. However, rates of TB reactivation long after infection remain poorly quantified. Australia is a low-TB incidence setting and most cases occur among migrants. We explored how TB rates in Australian migrants varied with time from migration, age and gender. METHODS: We combined TB notifications in census years 2006, 2011 and 2016 with time and country...
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#1James M. Trauer (Monash University)H-Index: 11
#2Peter J. Dodd (University of Sheffield)H-Index: 15
Last. David Wesley Dowdy (Johns Hopkins University)H-Index: 38
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Although less well-recognised than for other infectious diseases, heterogeneity is a defining feature of TB epidemiology. To advance toward TB elimination, this heterogeneity must be better understood and addressed. Drivers of heterogeneity in TB epidemiology act at the level of the infectious host, organism, susceptible host, environment and distal determinants. These effects may be amplified by social mixing patterns, while the variable latent period between infection and disease may mask hete...
4 CitationsSource
#1Thomas Sumner (Lond: University of London)
#2Fiammetta Bozzani (Lond: University of London)H-Index: 6
Last. Richard G. White (Lond: University of London)H-Index: 38
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Mathematical models are increasingly used to compare strategies for tuberculosis control and inform policy decisions. Models often do not consider financial and other constraints on implementation and may overestimate the impact that can be achieved. We developed a pragmatic approach for incorporating resource constraints into mathematical models of tuberculosis. Using a transmission model calibrated for South Africa, we estimated the epidemiologic impact and resource requirements (financial, hu...
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#1Sanne van Kampen (Plymouth University)H-Index: 8
#2Rupert Jones (Plymouth University)H-Index: 47
Last. Bruce Kirenga (MUK: Makerere University)H-Index: 14
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People with pulmonary tuberculosis (TB) are at risk of developing chronic respiratory disorders due to residual lung damage. So far, the scope of the problem in high burden TB countries is relatively unknown. Chronic respiratory symptoms (cough and phlegm lasting >2 weeks) and radiological lung abnormalities were compared between adults with and without a history of TB among the general population of Uganda. Multivariable regression models were used to estimate odds ratios with adjustment for ag...
1 CitationsSource
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