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Our study will be the first to assess vaccine efficacy targeting H. influenzae in children with recurrent PBB, CSLD and bronchiectasis.
Influenza diagnosis codes had high specificity (98.6%) and modest positive predictive value (PPV; 84.1%) and sensitivity (86.1%) for a laboratory-confirmed...
This paper reports on the shift in parental attitude to vaccination after 2010, due to an unprecedented increase in febrile reactions in children receiving...
Conflicting findings regarding the level of protection offered by seasonal influenza vaccination against pandemic influenza H1N1 have been reported.
The objective of this tudy was to assess the reactogenicity of two 2010 trivalent inactivated influenza vaccine (TIV) formulations among adults, including...
These baseline data are essential to assess the safety and effectiveness of influenza and pertussis vaccinations in pregnant women from the NT
Healthcare personnel (HCP) are a priority group for annual influenza vaccination. Few studies have assessed the validity of recall of prior influenza vaccination status among HCP, especially for more than one preceding season.
This report summarises the epidemiology of hospitalisations with laboratory-confirmed influenza during the 2019 influenza season. The Influenza Complications Alert Network (FluCAN) is a sentinel hospital-based surveillance program that operates at sites in all jurisdictions in Australia.
Since its emergence in 1968, influenza A H3N2 has caused yearly epidemics in temperate regions. While infection confers immunity against antigenically similar strains, new antigenically distinct strains that evade existing immunity regularly emerge ('antigenic drift'). Immunity at the individual level is complex, depending on an individual's lifetime infection history.
During winter months of temperate regions, concurrent epidemics of multiple respiratory pathogens can occur, causing periods of increased clinical burden. Case time series, which are predominantly used to monitor infection levels, can exhibit substantial noise and day-of-the-week effects, limiting the visual interpretation of trends in raw data.