London Centre for Neglected Tropical Disease Research
The London Centre for Negected Tropical Disease Research (LCNTDR) is an innovative research collaboration between Imperial College London, the Partnership for Child Development, the Schistosomiasis Control Initiative, the London School of Hygiene and Tropical Medicine, the Natural History Museum, and the Royal Veterinary College.
The LCNTDR was founded to provide focused operational and research support for neglected tropical diseases (NTDs). Its aim is to use the expertise of its member organizations to answer key questions about NTD transmission, control, and programme implementation. These results can then inform policy makers of how to achieve the greatest impact on morbidity and mortality caused by NTDs.
More information about the LCNTDR can be found at www.londonntd.org.
Sam is part of the NTD Epidemiology Research Group at Imperial, a member of the LCNTDR. His current research interest is in modelling the transmission of helminth parasites (hookworm, roundworm and whipworm, and schistosomes) and their control and potential elimination through mass drug administration.
His prior research experience includes modelling of dynamics and control in bacterial signalling, and the genetics of bacterial evolution.
He also maintains a broader interest in computational biology, complex systems and artificial intelligence, fields of research neatly encapsulated in this map.
Sam holds a PhD in Systems Biology from the University of Manchester and a BSc in Computer Science and Artificial Intelligence from the University of Sussex.
See also his ResearchGate page for his latest publications.
Farrell SH, Anderson RM, 2018, Helminth lifespan interacts with noncompliance in reducing the effectiveness of anthelmintic treatment, Parasites & Vectors, Vol:11, ISSN:1756-3305
et al., 2018, Testing for soil-transmitted helminth transmission elimination: Analysing the impact of the sensitivity of different diagnostic tools., Plos Neglected Tropical Diseases, Vol:12, ISSN:1935-2727
et al., 2017, Identifying optimal threshold statistics for elimination of hookworm using a stochastic simulation model, Parasites & Vectors, Vol:10, ISSN:1756-3305
Farrell SH, 2017, MODELLING THE EFFECT OF PATTERNS OF ADHERENCE AND NON-ADHERENCE TO TREATMENT IN PURSUIT OF HELMINTH ELIMINATION BY MASS DRUG ADMINISTRATION, 65th Annual Meeting of the American-Society-of-Tropical-Medicine-and-Hygiene (ASTMH), AMER SOC TROP MED & HYGIENE, Pages:355-355, ISSN:0002-9637
Truscott J, Farrell S, Anderson R, 2017, USING TRANSMISSION MODELS IN STUDY DESIGN: DETECTING ELIMINATION AND THE IMPACT OF PRE-EXISTING TREATMENT PROGRAMS, 65th Annual Meeting of the American-Society-of-Tropical-Medicine-and-Hygiene (ASTMH), AMER SOC TROP MED & HYGIENE, Pages:542-542, ISSN:0002-9637