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Amelia C. Crampin

Researcher at University of London

Publications -  258
Citations -  12151

Amelia C. Crampin is an academic researcher from University of London. The author has contributed to research in topics: Population & Tuberculosis. The author has an hindex of 54, co-authored 241 publications receiving 9639 citations. Previous affiliations of Amelia C. Crampin include University of Cambridge & University of Glasgow.

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Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

Bin Zhou, +1144 more
- 11 Sep 2021 - 
TL;DR: In this article, a Bayesian hierarchical model was used to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control).
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A blood RNA signature for tuberculosis disease risk: a prospective cohort study.

Daniel E. Zak, +32 more
- 04 Jun 2016 - 
TL;DR: The whole blood tuberculosis risk signature prospectively identified people at risk of developing active tuberculosis, opening the possibility for targeted intervention to prevent the disease.
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Genome-wide association analyses identifies a susceptibility locus for tuberculosis on chromosome 18q11.2.

Thorsten Thye, +30 more
- 01 Sep 2010 - 
TL;DR: This study demonstrates that genome-wide association studies can identify new susceptibility loci for infectious diseases, even in African populations, in which levels of linkage disequilibrium are particularly low.
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Diagnosis of childhood tuberculosis and host RNA expression in Africa.

Suzanne T. Anderson, +24 more
- 30 Apr 2014 - 
TL;DR: RNA expression signatures provided data that helped distinguish tuberculosis from other diseases in African children with and those without HIV infection.
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Detection of Tuberculosis in HIV-Infected and -Uninfected African Adults Using Whole Blood RNA Expression Signatures: A Case-Control Study

Myrsini Kaforou, +30 more
- 22 Oct 2013 - 
TL;DR: Using a microarray-based approach, Michael Levin and colleagues develop a disease risk score to distinguish active from latent tuberculosis, as well as tuberculosis from other diseases, using whole blood samples.