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Targeting interventions to improve influenza control: a proof of principle geomapping study

Christopher Kefyalew Hannah Blyth Alene Moore MBBS (Hons) DCH FRACP FRCPA PhD BSc, MPH, PhD OAM BSc (Hons) GradDipClinEpi PhD Centre Head, Wesfarmers

Spatial epidemiology of tuberculosis

Kefyalew Alene BSc, MPH, PhD Head, Geospatial and Tuberculosis 0404705064 Kefyalew.alene@thekids.org.au Honorary Research Fellow Dr Kefyalew Alene

Prevention better than cure in race to slash rates of TB

The first global review of the effectiveness of current strategies to fight tuberculosis has found preventive therapy is the most effective intervention strategy.  

Geospatial and Tuberculosis (GeoTB)

The Geospatial and Tuberculosis (GeoTB) team led by Kefyalew Alene focuses on designing an innovative approach for improving the efficiency and effectiveness of public health interventions to help control and ultimately eliminate tuberculosis in high-burden countries.

Geospatial mapping of drug-resistant tuberculosis prevalence in Africa at national and sub-national levels

o map subnational and local prevalence of drug-resistant tuberculosis (DR-TB) across Africa. We assembled a geolocated dataset from 173 sources across 31 African countries, comprising drug susceptibility test results and covariate data from publicly available databases. We used Bayesian model-based geostatistical framework with multivariate Bayesian logistic regression model to estimate DR-TB prevalence at lower administrative levels.

Health system and environmental factors affecting global progress towards achieving End TB targets between 2015 and 2020

Health system and environmental factors play a significant role in achieving the World Health Organization End Tuberculosis (TB) targets. However, quantitative measures are scarce or non-existent at a global level. We aimed to measure the progress made towards meeting the global End TB milestones from 2015 to 2020 and identify health system and environmental factors contributing to the success.

Malaria in Nepal: A Spatiotemporal Study of the Disease Distribution and Challenges on the Path to Elimination

Malaria incidence (MI) has significantly declined in Nepal, and this study aimed to investigate the spatiotemporal distribution and drivers of MI at the ward level. Data for malaria cases were obtained from the National Surveillance System from 2013 to 2021. Data for covariates, including annual mean temperature, annual mean precipitation, and distance to the nearest city, were obtained from publicly available sources. A Bayesian spatial model was used to identify factors associated with the spatial distribution of MI.

Spatial distribution of and socio-ecological risk factors for strongyloidiasis in Australia

Strongyloidiasis, caused by the soil-transmitted helminth Strongyloides stercoralis, remains a neglected public health issue in Australia, particularly among remote Aboriginal and Torres Strait Islander communities. This study aimed to map the spatial distribution of strongyloidiasis and investigate associated socioecological factors to identify high-risk areas and guide targeted interventions in Australia.

Prevalence of tuberculosis infection among contacts of drug-resistant tuberculosis patients: A systematic review and meta-analysis

Contact investigations with drug-susceptible tuberculosis (DS-TB) patients have demonstrated a high prevalence of tuberculosis infection (TBI). However, the prevalence of TBI among individuals in close contact with drug-resistant tuberculosis (DR-TB) patients is poorly understood. This systematic review and meta-analysis aimed to determine the prevalence of TBI among household and non-household contacts of DR-TB patients.

Mapping fertility rates at national, sub-national, and local levels in Ethiopia between 2000 and 2019

Fertility rates are key indicators of population health and demographic change, influencing economic development, healthcare planning, and social policies. Understanding subnational variation in fertility rate is important for effective geographical targeting and policy prioritization. This study aimed to identify geographic variation, trends, and determinants of fertility rates in Ethiopia over the past two decades.