Search
Research
Spatial distribution of rotavirus immunization coverage in Ethiopia: a geospatial analysis using the Bayesian approachRotavirus causes substantial morbidity and mortality every year, particularly among under-five children. Despite Rotavirus immunization preventing severe diarrheal disease in children, the vaccination coverage remains inadequate in many African countries including Ethiopia.
Research
Comparison of group A streptococcal titres in healthy children and those with pharyngitis and skin infectionsRates of acute rheumatic fever, a sequelae of group A Streptococcal (GAS) infection, remain unacceptably high in Indigenous Māori and Pacific children in New Zealand. This prospective study aimed to describe GAS antibody titres in healthy children (5–14 years) by ethnicity, and to determine how paired titres vary with GAS culture positive and negative pharyngitis, and GAS skin infections.
Research
Respiratory follow-up to improve outcomes for Aboriginal children: twelve key stepsAmong Aboriginal children, the burden of acute respiratory tract infections (ALRIs) with consequent bronchiectasis post-hospitalisation is high. Clinical practice guidelines recommend medical follow-up one-month following discharge, which provides an opportunity to screen and manage persistent symptoms and may prevent bronchiectasis.
Research
Preventing severe influenza in Australian infants: Maternal influenza vaccine effectiveness in the PAEDS-FluCAN networks using the test-negative designChristopher Blyth MBBS (Hons) DCH FRACP FRCPA PhD Centre Head, Wesfarmers Centre of Vaccines and Infectious Diseases; Co-Head, Infectious Diseases
Research
Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malariaIndividual-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.
Research
Western Australian health care workers’ views on mandatory COVID-19 vaccination for the workplaceHealth care workers (HCWs) are at an increased risk of catching and spreading Coronavirus Disease 2019 (COVID-19) compared with the general community, putting health systems at risk. Several jurisdictions globally have mandated or are looking to mandate COVID-19 vaccines for this cohort, but little is known about the acceptability of this measure, especially in different contexts, and there is little qualitative data to explore nuance, depth, and the reasons behind HCWs’ opinions.
Research
Viral haemorrhagic fevers and malaria co-infections among febrile patients seeking health care in TanzaniaIn recent years there have been reports of viral haemorrhagic fever (VHF) epidemics in sub-Saharan Africa where malaria is endemic. VHF and malaria have overlapping clinical presentations making differential diagnosis a challenge.
Research
Breastfeeding in a COVID-19 worldThe coronavirus disease 2019 (COVID-19) pandemic has changed the birthing and postnatal experience of women. This review highlights how policy changes have affected pregnant and breastfeeding women, the evidence for continued breastfeeding and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines, and how the pandemic's unexpected consequences have affected these women's wellbeing.
Research
The Centres for Disease Control light trap and the human decoy trap compared to the human landing catch for measuring Anopheles biting in rural TanzaniaVector mosquito biting intensity is an important measure to understand malaria transmission. Human landing catch (HLC) is an effective but labour-intensive, expensive, and potentially hazardous entomological surveillance tool. The Centres for Disease Control light trap (CDC-LT) and the human decoy trap (HDT) are exposure-free alternatives.
Research
Mapping Tuberculosis Prevalence in Ethiopia: Protocol for a Geospatial Meta-AnalysisIn this report, we present a protocol for a geospatial meta-analysis to investigate the spatial patterns of TB prevalence in Ethiopia