Neil M Ferguson

Summary

Affiliation: Imperial College
Country: UK

Publications

  1. Ferguson N, Cucunubá Z, Dorigatti I, Nedjati Gilani G, Donnelly C, Basanez M, et al. EPIDEMIOLOGY. Countering the Zika epidemic in Latin America. Science. 2016;353:353-4 pubmed publisher
  2. Cauchemez S, Nouvellet P, Cori A, Jombart T, Garske T, Clapham H, et al. Unraveling the drivers of MERS-CoV transmission. Proc Natl Acad Sci U S A. 2016;113:9081-6 pubmed publisher
    ..The approach we present allows the study of infectious disease transmission when data linking cases to each other remain limited and uncertain. ..
  3. Hamlet A, Jean K, Yactayo S, Benzler J, Cibrelus L, Ferguson N, et al. POLICI: A web application for visualising and extracting yellow fever vaccination coverage in Africa. Vaccine. 2019;37:1384-1388 pubmed publisher
    ..POLICI offers an accessible platform for relevant stakeholders in global health to access and explore vaccination coverages. These estimates have already been used to inform the WHO strategy to Eliminate Yellow fever Epidemics (EYE). ..
  4. Ferguson N. Challenges and opportunities in controlling mosquito-borne infections. Nature. 2018;559:490-497 pubmed publisher
    ..Such analyses suggest that the long-term goal of elimination is more feasible for dengue than for malaria, even if malaria elimination would offer greater overall health benefit to the public. ..
  5. Ferguson N, Kien D, Clapham H, Aguas R, Trung V, Chau T, et al. Modeling the impact on virus transmission of Wolbachia-mediated blocking of dengue virus infection of Aedes aegypti. Sci Transl Med. 2015;7:279ra37 pubmed publisher
    ..These findings develop a framework for selecting Wolbachia strains for field releases and for calculating their likely impact. ..
  6. Cauchemez S, Fraser C, Van Kerkhove M, Donnelly C, Riley S, Rambaut A, et al. Middle East respiratory syndrome coronavirus: quantification of the extent of the epidemic, surveillance biases, and transmissibility. Lancet Infect Dis. 2014;14:50-56 pubmed publisher
    ..Medical Research Council, Bill & Melinda Gates Foundation, EU FP7, and National Institute of General Medical Sciences. ..
  7. Pothin E, Ferguson N, Drakeley C, Ghani A. Estimating malaria transmission intensity from Plasmodium falciparum serological data using antibody density models. Malar J. 2016;15:79 pubmed publisher
    ..This approach, if validated across different epidemiological settings, could be a useful alternative framework for quantifying transmission intensity, which makes more complete use of serological data. ..
  8. Ferguson N, Rodriguez Barraquer I, Dorigatti I, Mier y Teran Romero L, Laydon D, Cummings D. Benefits and risks of the Sanofi-Pasteur dengue vaccine: Modeling optimal deployment. Science. 2016;353:1033-1036 pubmed
    ..However, in high-transmission settings, vaccination benefits both the whole population and seronegative recipients. Our analysis can help inform policy-makers evaluating this and other candidate dengue vaccines. ..
  9. Dorigatti I, McCormack C, Nedjati Gilani G, Ferguson N. Using Wolbachia for Dengue Control: Insights from Modelling. Trends Parasitol. 2018;34:102-113 pubmed publisher
    ..Here, we review how mathematical models give insight into the dynamics of the spread of Wolbachia, the potential impact of Wolbachia on dengue transmission, and we discuss the remaining challenges in evaluation and development. ..