Director of Malaria Risk Stratification
With over a decade of international research experience spanning the fields of astronomy, statistics, machine learning and epidemiology, Dr Ewan Cameron returned to Australia in February 2020 as an Associate Professor at Curtin University and Honorary Research Associate at the Telethon Kids Institute.
Within the Malaria Atlas Project, he leads a team responsible for the innovation of novel approaches to probabilistic disease mapping, with a focus on bespoke model development for sub-national risk stratification.
The outputs of this research support the work of the World Health Organisation (in particular with respect to the “High Burden, High Impact” project: ” a country-led response to reignite the pace of progress in the global malaria fight”), the Clinton Health Access Initiative, and the national malaria control programs of multiple endemic countries.
The DETECT-Schools Study was launched in May 2020 as a partnership between the WA Government Departments of Education and Health with the Telethon Kids Institute.
Identifying individual, household and environmental risk factors for malaria infection on Bioko Island to inform interventions
Since 2004, malaria transmission on Bioko Island has declined significantly as a result of the scaling-up of control interventions. The aim of eliminating malaria from the Island remains elusive, however, underscoring the need to adapt control to the local context. Understanding the factors driving the risk of malaria infection is critical to inform optimal suits of interventions in this adaptive approach.Published research Infectious Diseases Geospatial Health and Development MalariaAugust 2022
Spatiotemporal mapping of malaria incidence in Sudan using routine surveillance data
Malaria is a serious threat to global health, with over 95 % of the cases reported in 2020 by the World Health Organization in African countries, including Sudan. Sudan is a low-income country with a limited healthcare system and a substantial burden of malaria.December 2021
Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malaria
Individual-based models have become important tools in the global battle against infectious diseases, yet model complexity can make calibration to biological and epidemiological data challenging. We propose using a Bayesian optimization framework employing Gaussian process or machine learning emulator functions to calibrate a complex malaria transmission simulator.Published research Infectious Diseases Geospatial Health and Development MalariaJanuary 2021
Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysis
Substantial progress has been made in reducing the burden of malaria in Africa since 2000, but those gains could be jeopardised if the COVID-19 pandemic affects the availability of key malaria control interventions. The aim of this study was to evaluate plausible effects on malaria incidence and mortality under different levels of disruption to malaria control.Published research Infectious Diseases Geospatial Health and DevelopmentOctober 2021
A simulation study of disaggregation regression for spatial disease mapping
Disaggregation regression has become an important tool in spatial disease mapping for making fine-scale predictions of disease risk from aggregated response data.Published research Geospatial Health and DevelopmentJune 2021
Mapping the endemicity and seasonality of clinical malaria for intervention targeting in Haiti using routine case data
Towards the goal of malaria elimination on Hispaniola, the National Malaria Control Program of Haiti and its international partner organisations are conducting a campaign of interventions targeted to high-risk communities prioritised through evidence-based planning. Here we present a key piece of this planning: an up-to-date, fine-scale endemicity map and seasonality profile for Haiti informed by monthly case counts.Published research Infectious Diseases Geospatial Health and DevelopmentJune 2021
Maps and metrics of insecticide-treated net access, use, and nets-per-capita in Africa from 2000-2020
Insecticide-treated nets (ITNs) are one of the most widespread and impactful malaria interventions in Africa, yet a spatially-resolved time series of ITN coverage has never been published. Using data from multiple sources, we generate high-resolution maps of ITN access, use, and nets-per-capita annually from 2000 to 2020 across the 40 highest-burden African countries.Published research Infectious Diseases Geospatial Health and DevelopmentJune 2021
Mapping malaria by sharing spatial information between incidence and prevalence data sets
As malaria incidence decreases and more countries move towards elimination, maps of malaria risk in low-prevalence areas are increasingly needed. For low-burden areas, disaggregation regression models have been developed to estimate risk at high spatial resolution from routine surveillance reports aggregated by administrative unit polygons.Published research Geospatial Health and Development Malaria