Lucinda Harrison

geospatial models; spaghetti engineering

First author paper/s

* Contributed equally

Other papers

Reports to Government

  • Mapping Japanese encephalitis infection risk in Australia to inform public health response* (2022)
    Lucinda E. Harrison, David H. Duncan, Jennifer A. Flegg, David J. Price, James M. McCaw, Nick Golding and Freya M. Shearer. Report to Australian Goverment Department of Health and Aged Care.

  • Mapping Japanese encephalitis infection risk in Australia* (2023)
    David H. Duncan, Lucinda E. Harrison, Domenic P. J. Germano, Jennifer A. Flegg, David J. Price, James M. McCaw, Nick Golding, Freya M. Shearer. Report to Australian Government Department of Health and Aged Care.

* Not published in the public domain

Manuscripts in prep.

  • Geospatial assessment of Japanese encephalitis virus infection risk in Australia (LH first author)
    A description of models of potential and realised niche of Japanese encephalitis virus, drawing on pathogen surveillance data; first described in reports to government.
    With David Duncan, Freya Shearer, Nick Golding, Jennifer Flegg, David Price, Domenic Germano and others.

  • Using geospatial models to select primary healthcare centres for surveillance of Plasmodium knowlesi malaria (LH first author)
    Disease surveillance produces critical information on disease prevalence, incidence and clinical outcomes, however it is limited by available resources and should be carefully planned. The spatial distribution of risk of Plasmodium knowlesi malaria in north-western Indonesia is not well understood. However, numerous studies have linked disease risk to environments where humans, macaque hosts and mosquito vectors interact, on the forest fringe and in croplands and plantations. We present a flexible framework for the selection of primary healthcare centres for targeted disease surveillance, applied to the surveillance of P. knowlesi malaria in north-western Indonesia. We consider several definitions of healthcare centre catchment area, and explore a number of possible objectives for disease surveillance, incorporating the outputs of a geospatial model of disease risk. These objectives can be optimised for individual sites or complete surveillance designs, and can be optimised independently or simultaneously, in a multi-objective decision problem.
    With Jennifer Flegg, Freya Shearer, David Price, Matthew Grigg, Inke Lubis, Rintis Noviyanti and others.

  • Appraisal and iterative selection of sites for surveillance of Japanese encephalitis virus in mosquitoes (LH first author)
    A framework for the iterative identification of candidate optimal designs for Japanese encephalitis virus in mosquitoes, drawing on the outputs described in reports to government.
    With Freya Shearer, Jennifer Flegg, David Price, David Duncan, Nick Golding and others.

  • Gender representation at mathematics conferences in Australia: all a matter of perception?
    We all seek to improve gender representation in mathematics academia, but do we all share the same understanding of the current state of affairs? Are there biases unique to each of us that change our individual perception of gender representation? Anecdotal evidence suggests gender and age shape an individual’s perception of gender representation and therefore their commitment to the advancement of gender equality, however a quantitative dataset for the Australian mathematics community does not exist. With the support of local mathematics and statistics societies, we aim to evaluate the current state of gender representation at mathematics and statistics conferences.
    With Adriana Zanca, Isobel Abell, Punya Alahakoon, Jennifer Flegg and others.