H
Hugh J. W. Sturrock
Researcher at University of California, San Francisco
Publications - 77
Citations - 3039
Hugh J. W. Sturrock is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Malaria & Population. The author has an hindex of 24, co-authored 68 publications receiving 2445 citations. Previous affiliations of Hugh J. W. Sturrock include University of London & University of California, Berkeley.
Papers
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Journal ArticleDOI
The changing epidemiology of malaria elimination: new strategies for new challenges
Chris Cotter,Hugh J. W. Sturrock,Michelle S. Hsiang,Jenny Liu,Allison A. Phillips,Jimee Hwang,Jimee Hwang,Cara Smith Gueye,Nancy Fullman,Roly Gosling,Richard G A Feachem +10 more
TL;DR: The shift in the populations most at risk of malaria raises important questions for malaria-eliminating countries, since traditional control interventions are likely to be less effective.
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Targeting asymptomatic malaria infections: active surveillance in control and elimination.
Hugh J. W. Sturrock,Michelle S. Hsiang,Justin M. Cohen,David L. Smith,Bryan Greenhouse,Teun Bousema,Teun Bousema,Roly Gosling +7 more
TL;DR: It is argued that the evidence for its effectiveness is sparse and that targeted mass drug administration should be evaluated as an alternative or addition to active case detection.
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Communicating and Monitoring Surveillance and Response Activities for Malaria Elimination: China's “1-3-7” Strategy
Jun Cao,Hugh J. W. Sturrock,Chris Cotter,Shui-Sen Zhou,Huayun Zhou,Yaobao Liu,Lin-Hua Tang,Roly Gosling,Richard G A Feachem,Qi Gao +9 more
TL;DR: China's 1-3-7 strategy for eliminating malaria is described: reporting of malaria cases within one day, their confirmation and investigation within three days, and the appropriate public health response to prevent further transmission within seven days.
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Spatial modelling of soil-transmitted helminth infections in Kenya: a disease control planning tool.
Rachel L. Pullan,Peter W. Gething,Jennifer L. Smith,Charles Mwandawiro,Hugh J. W. Sturrock,Caroline W. Gitonga,Simon I. Hay,Simon Brooker,Simon Brooker +8 more
TL;DR: Bayesian space-time geostatistical models can be used to reliably estimate the combined observed prevalence of STH and suggest that a quarter of Kenya's school-aged children live in areas of high prevalence and warrant mass treatment.
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Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing.
Alemayehu Midekisa,Felix Holl,David J. Savory,Ricardo Andrade-Pacheco,Peter W. Gething,Adam Bennett,Hugh J. W. Sturrock +6 more
TL;DR: The approach applied here to overcome the computational challenges of handling big earth observation data by using cloud computing can help scientists and practitioners who lack high-performance computational resources to better understand many of the Earth’s land surface processes.