John Hargrove

Summary

Affiliation: University of Stellenbosch
Country: South Africa

Publications

  1. doi request reprint An example from the world of tsetse flies
    John Hargrove
    SACEMA, DST NRF Centre of Excellence, in Epidemiological Modelling and Analysis, 19 Jonkershoek Road, Stellenbosch 7600, South Africa
    Math Biosci Eng 10:691-704. 2013
  2. pmc How should we best estimate the mean recency duration for the BED method?
    John Hargrove
    The South African Department of Science and Technology National Research Foundation Centre of Excellence in Epidemiological Modelling and Analysis, University of Stellenbosch, Stellenbosch, South Africa
    PLoS ONE 7:e49661. 2012
  3. pmc Modeling the control of trypanosomiasis using trypanocides or insecticide-treated livestock
    John W Hargrove
    DST NRF Centre of Excellence in Epidemiological Modelling and Analysis SACEMA, University of Stellenbosch, Stellenbosch, South Africa
    PLoS Negl Trop Dis 6:e1615. 2012
  4. doi request reprint A general model for mortality in adult tsetse (Glossina spp.)
    J W Hargrove
    South African Centre for Epidemiological Modelling and Analysis SACEMA, University of Stellenbosch, South Africa
    Med Vet Entomol 25:385-94. 2011
  5. pmc BED estimates of HIV incidence: resolving the differences, making things simpler
    John Hargrove
    Department of Science and Technology, National Research Foundation, Centre of Excellence in Epidemiological Modelling and Analysis SACEMA, University of Stellenbosch, Stellenbosch, South Africa
    PLoS ONE 7:e29736. 2012
  6. doi request reprint Short communication: Simplified estimation of the long-term specificity of the BED assay to improve estimates of HIV incidence
    John Hargrove
    Department of Science and Technology National Research Foundation Centre of Excellence in Epidemiological Modelling and Analysis SACEMA, University of Stellenbosch, Stellenbosch, South Africa
    AIDS Res Hum Retroviruses 26:977-9. 2010
  7. pmc Treatment as prevention: preparing the way
    Brian Williams
    South African Centre for Epidemiological Modelling and Analysis SACEMA, Stellenbosch, South Africa
    J Int AIDS Soc 14:S6. 2011

Collaborators

Detail Information

Publications7

  1. doi request reprint An example from the world of tsetse flies
    John Hargrove
    SACEMA, DST NRF Centre of Excellence, in Epidemiological Modelling and Analysis, 19 Jonkershoek Road, Stellenbosch 7600, South Africa
    Math Biosci Eng 10:691-704. 2013
    ..Unless models account for the known biology of the problem under investigation, and are challenged with data, the existence and nature of imperfections in the models will likely not be detected. ..
  2. pmc How should we best estimate the mean recency duration for the BED method?
    John Hargrove
    The South African Department of Science and Technology National Research Foundation Centre of Excellence in Epidemiological Modelling and Analysis, University of Stellenbosch, Stellenbosch, South Africa
    PLoS ONE 7:e49661. 2012
    ..Inaccuracies in the estimation of Ω(T) should not now provide an impediment to incidence estimation...
  3. pmc Modeling the control of trypanosomiasis using trypanocides or insecticide-treated livestock
    John W Hargrove
    DST NRF Centre of Excellence in Epidemiological Modelling and Analysis SACEMA, University of Stellenbosch, Stellenbosch, South Africa
    PLoS Negl Trop Dis 6:e1615. 2012
    ..We used a mathematical model to identify treatment coverages required to break transmission when host populations consisted of various proportions of wild and domestic mammals, and reptiles...
  4. doi request reprint A general model for mortality in adult tsetse (Glossina spp.)
    J W Hargrove
    South African Centre for Epidemiological Modelling and Analysis SACEMA, University of Stellenbosch, South Africa
    Med Vet Entomol 25:385-94. 2011
    ..The new model for tsetse mortality should be incorporated into models of tsetse and trypanosome population dynamics; it will also inform the estimation of adult female mortality from ovarian dissection data...
  5. pmc BED estimates of HIV incidence: resolving the differences, making things simpler
    John Hargrove
    Department of Science and Technology, National Research Foundation, Centre of Excellence in Epidemiological Modelling and Analysis SACEMA, University of Stellenbosch, Stellenbosch, South Africa
    PLoS ONE 7:e29736. 2012
    ..Develop a simple method for optimal estimation of HIV incidence using the BED capture enzyme immunoassay...
  6. doi request reprint Short communication: Simplified estimation of the long-term specificity of the BED assay to improve estimates of HIV incidence
    John Hargrove
    Department of Science and Technology National Research Foundation Centre of Excellence in Epidemiological Modelling and Analysis SACEMA, University of Stellenbosch, Stellenbosch, South Africa
    AIDS Res Hum Retroviruses 26:977-9. 2010
    ....
  7. pmc Treatment as prevention: preparing the way
    Brian Williams
    South African Centre for Epidemiological Modelling and Analysis SACEMA, Stellenbosch, South Africa
    J Int AIDS Soc 14:S6. 2011
    ..Studies of this kind will provide valuable information for the design of large-scale trials, as well as essential information that will be needed if early treatment is to be incorporated into public health policy...