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Research
Child Health Analytics Research ProgramListed are all Telethon Kids Institute research teams involved in our Child Health Analytics Research Program. This program sits under the Brain and Behaviour research theme.
Research
Targeting interventions to improve influenza control: a proof of principle geomapping studyChristopher Kefyalew Hannah Blyth Alene Moore MBBS (Hons) DCH FRACP FRCPA PhD BSc, MPH, PhD OAM BSc (Hons) GradDipClinEpi PhD Centre Head, Wesfarmers
Research
Risk factors associated with post-tuberculosis sequelae: a systematic review and meta-analysisPost-tuberculosis (TB) sequelae present a significant challenge in the management of TB survivors, often leading to persistent health issues even after successful treatment. Identifying risk factors associated with post-TB sequelae is important for improving outcomes and quality of life of TB survivors. This systematic review and meta-analysis aims to identify risk factors associated with long-term physical sequelae among TB survivors.
Research
Interventions to prevent post-tuberculosis sequelae: a systematic review and meta-analysisTuberculosis (TB) remains a global public health challenge, causing substantial mortality and morbidity. While TB treatment has made significant progress, it often leaves survivors with post-TB sequelae, resulting in long-term health issues.
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Socio-demographic correlates of unhealthy lifestyle in Ethiopia: a secondary analysis of a national surveyMultiple lifestyle risk factors exhibit a stronger association with non-communicable diseases (NCDs) compared to a single factor, emphasizing the necessity of considering them collectively. By integrating these major lifestyle risk factors, we can identify individuals with an overall unhealthy lifestyle, which facilitates the provision of targeted interventions for those at significant risk of NCDs. The aim of this study was to evaluate the socio-demographic correlates of unhealthy lifestyles among adolescents and adults in Ethiopia.
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Spatial codistribution of HIV, tuberculosis and malaria in EthiopiaHIV, tuberculosis (TB) and malaria are the three most important infectious diseases in Ethiopia, and sub-Saharan Africa. Understanding the spatial codistribution of these diseases is critical for designing geographically targeted and integrated disease control programmes. This study investigated the spatial overlap and drivers of HIV, TB and malaria prevalence in Ethiopia.
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Undernutrition increases the risk of unsuccessful treatment outcomes of patients with tuberculosis in Ethiopia: A multicenter retrospective cohort studyWhile undernutrition has been identified as a common risk factor for tuberculosis (TB), its impact on treatment outcomes has yet to be investigated in high TB burden and low-income countries such as Ethiopia. Therefore, this study aimed to investigate the effect of undernutrition on treatment outcomes among patients with TB in northwest Ethiopia.
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Geospatial joint modeling of vector and parasite serology to microstratify malaria transmissionThe World Health Organization identifies a strong surveillance system for malaria and its mosquito vector as an essential pillar of the malaria elimination agenda. Anopheles salivary antibodies are emerging biomarkers of exposure to mosquito bites that potentially overcome sensitivity and logistical constraints of traditional entomological surveys.
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Development and validation of a risk prediction model for pulmonary tuberculosis among presumptive tuberculosis cases in EthiopiaEarly diagnosis and treatment of tuberculosis (TB) is one of the key strategies to achieve the WHO End TB targets. This study aimed to develop and validate a simple, convenient risk score to diagnose pulmonary TB among presumptive TB cases.
Research
Protocol for spatial prediction of soil transmitted helminth prevalence in the Western Pacific region using a meta-analytical approachSoil transmitted helminth infections are estimated to impact 24% of the world's population and are responsible for chronic and debilitating morbidity. Disadvantaged communities are among the worst affected and are further marginalized as infection prevalence fuels the poverty cycle.