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Research

Evaluation of impact of 23 valent pneumococcal polysaccharide vaccine following 7 valent pneumococcal

The impact of the 23vPPV booster on IPD incidence among Australian Indigenous children is unclear from regional reports of small case numbers.

Research

Geogenic PM10 exposure exacerbates responses to influenza infection

This study aimed to determine whether chronic, low-dose exposure to geogenic particulate matter <10μm diameter (PM10) exacerbates viral infections of the...

Research

Maternal HIV infection alters antimicrobial immunity in exposed and uninfected infants

Implementation of lifelong ART of all HIV-infected women has the potential to improve maternal determinants of protective immunity in the young infant

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Vaccination strategies to enhance immunity in neonates

Protection may be further improved by integrating these approaches, namely vaccinating the neonate under the cover of vertically transferred maternal immunity

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Molecular Epidemiology of Noninvasive and Invasive Group A Streptococcal Infections in Cape Town

There is low coverage of the multivalent M protein vaccine in our setting, emphasizing the need to reformulate the vaccine to improve coverage

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Forest cover and climate as potential drivers for dengue fever in Sumatra and Kalimantan 2006–2016: a spatiotemporal analysis

Dengue fever in Sumatra and Kalimantan was highly seasonal and associated with climate factors and deforestation

Research

Coronavax: preparing community and government for COVID-19 vaccination: a research protocol for a mixed methods social research project

Ahead of the implementation of a COVID-19 vaccination programme, the interdisciplinary Coronavax research team developed a multicomponent mixed methods project to support successful roll-out of the COVID-19 vaccine in Western Australia. This project seeks to analyse community attitudes about COVID-19 vaccination, vaccine access and information needs. We also study how government incorporates research findings into the vaccination programme.

Research

Using Hawkes Processes to model imported and local malaria cases in near-elimination settings

Developing new methods for modelling infectious diseases outbreaks is important for monitoring transmission and developing policy. In this paper we propose using semi-mechanistic Hawkes Processes for modelling malaria transmission in near-elimination settings. Hawkes Processes are well founded mathematical methods that enable us to combine the benefits of both statistical and mechanistic models to recreate and forecast disease transmission beyond just malaria outbreak scenarios.