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Methods for modelling excess mortality across England during the COVID-19 pandemicExcess mortality is an important measure of the scale of the coronavirus-2019 pandemic. It includes both deaths caused directly by the pandemic, and deaths caused by the unintended consequences of containment such as delays to accessing care or postponements of healthcare provision in the population. In 2020 and 2021, in England, multiple groups have produced measures of excess mortality during the pandemic.
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Spatio-temporal patterns of childhood pneumonia in Bhutan: a Bayesian analysisPneumonia is one of the top 10 diseases by morbidity in Bhutan. This study aimed to investigate the spatial and temporal trends and risk factors of childhood pneumonia in Bhutan.
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Clinical predictors of severe dengue: a systematic review and meta-analysisSevere dengue is a life-threatening complication; rapid identification of these cases, followed by adequate management is crucial to improve the clinical prognosis. Therefore, this study aimed to identify risk factors and predictors of severe dengue.
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Antifungal prescribing in neonates: Using national point prevalence survey data from AustraliaWe describe contemporary antifungal use in neonates, with point-prevalence survey data from the National Antimicrobial Prescribing Survey across Australian hospitals from 2014 to 2018.
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Carriage prevalence of extended-spectrum β-lactamase producing enterobacterales in outpatients attending community health centers in Blantyre, MalawiAntimicrobial resistance due to extended-spectrum β-lactamase (ESBL) production by Enterobacterales is a global health problem contributing to increased morbidity and mortality, particu-larly in resource-constrained countries. We aimed to determine the prevalence of extended-spectrum β-lactamase-producing Enterobacterales (ESBL-E) in community patients in Blantyre, Malawi.
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Prospective surveillance for invasive Staphylococcus aureus and group A Streptococcus infections in a setting with high community burden of scabies and impetigoInvasive Staphylococcus aureus (iSA) and group A Streptococcus (iGAS) impose significant health burdens globally. Both bacteria commonly cause skin and soft tissue infections (SSTIs), which can result in invasive disease. Understanding of the incidence of iSA and iGAS remains limited in settings with a high SSTI burden.
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Medical practitioner's knowledge on dengue management and clinical practices in BhutanDengue has emerged as a major public health problem in Bhutan, with increasing incidence and widening geographic spread over recent years. This study aimed to investigate the knowledge and clinical management of dengue among medical practitioners in Bhutan.
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Coronavax: preparing community and government for COVID-19 vaccination: a research protocol for a mixed methods social research projectAhead 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.
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Formative evaluation of a community-based approach to reduce the incidence of Strep A infections and acute rheumatic feverWe explore the acceptability of a novel, outreached-based approach to improve primary and primordial prevention of Strep A skin sores, sore throats and acute rheumatic fever in remote Aboriginal communities. A comprehensive prevention program delivered by trained Aboriginal Community Workers was evaluated using approximately fortnightly household surveys about health and housing and clinical records.
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Using Hawkes Processes to model imported and local malaria cases in near-elimination settingsDeveloping 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.