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The Effect of SMS Reminders on Vaccine Hesitancy in New Parents

Tom Snelling BMBS DTMH GDipClinEpid PhD FRACP Head, Infectious Disease Implementation Research 08 6319 1817 tom.snelling@thekids.org.au Head,

Towards the establishment of the PREVAIL Centre, a Centre for PREcision in VAccine ImpLmentation at The Kids Research Institute Australia

Pat Tom Holt Snelling PhD, DSc, FRCPath, FRCPI, FAA BMBS DTMH GDipClinEpid PhD FRACP Emeritus Honorary Researcher Head, Infectious Disease

Platform trial in COVID-19 priming and BOOsting (PICOBOO): The immunogenicity, reactogenicity and safety of seven licensed COVID-19 vaccines delivered as fifth dose or subsequent boosters

PICOBOO is a randomised, adaptive trial evaluating the immunogenicity and reactogenicity of licensed COVID-19 booster vaccines in immunocompetent individuals >12 years old. Here, we present data for seven different vaccines among three pre-specified participant strata defined by age and primary vaccine schedule.

FeBRILe3: Caregiver Satisfaction With Early Discharge of Febrile Infants Under 3 Months Old

Although evidence supports clinicians to "safely do less" for febrile infants assessed as low risk of serious bacterial infection (SBI), early discharge may increase caregiver concern and reduce satisfaction with care. We captured the self-reported satisfaction and concerns for families enrolled in the study of fever, blood cultures and readiness for discharge in infants less than 3 months old (FeBRILe3), a prospective safety assessment of early discharge of low-risk febrile infants, to aid evaluation of this practice. 

Projected impacts of climate change on malaria in Africa

The implications of climate change for malaria eradication this century remain poorly resolved. Many studies focus on parasite and vector ecology in isolation, neglecting the interactions between climate, malaria control and the socioeconomic environment, including disruption from extreme weather. Here we integrate 25 years of African data on climate, malaria burden and control, socioeconomic factors, and extreme weather. 

Applying causal inference and Bayesian statistics to understanding vaccine safety signals using a simulation study

Community perception of vaccine safety influences vaccine uptake. Our objective was to assess current vaccine safety monitoring by examining factors that may influence the availability of post-vaccination survey data, and thereby the specificity and sensitivity of existing signal detection methods.

Financial incentives to motivate treatment for hepatitis C with direct acting antivirals among Australian adults

Untreated hepatitis C virus (HCV) infection can result in cirrhosis and hepatocellular cancer. Direct-acting antiviral (DAA) therapies are highly effective and have few side effects compared to older interferon-based therapy. Despite the Australian government providing subsidised and unrestricted access to DAA therapy for chronic HCV infection, uptake has not been sufficient to meet the global target of eliminating HCV as a public health threat by 2030. 

Impact of Meningococcal ACWY Vaccination Program during 2017-18 Epidemic, Western Australia, Australia

The rising incidence of invasive meningococcal disease (IMD) caused by Neisseria meningitidis serogroup W in Western Australia, Australia, presents challenges for prevention. We assessed the effects of a quadrivalent meningococcal vaccination program using 2012-2020 IMD notification data.

Tonsils at Telethon: developing a standardised collection of tonsil photographs for group A streptococcal (GAS) research

Group A streptococcus (GAS) infections, such as pharyngitis and impetigo, can lead to rheumatic fever and rheumatic heart disease (RHD). Australian Aboriginal and Torres Strait Islander populations experience high rates of RHD and GAS skin infection, yet rates of GAS pharyngitis are unclear. 

among children with pneumonia using a causal Bayesian network

Pneumonia remains a leading cause of hospitalization and death among young children worldwide, and the diagnostic challenge of differentiating bacterial from non-bacterial pneumonia is the main driver of antibiotic use for treating pneumonia in children. Causal Bayesian networks (BNs) serve as powerful tools for this problem as they provide clear maps of probabilistic relationships between variables and produce results in an explainable way by incorporating both domain expert knowledge and numerical data.