Why are some outbreaks worse than others? COVID-19 outbreak management strategies from a PHU perspective.

BACKGROUND: From a Public Health Unit (PHU) perspective, this review aimed to examine factors associated with adverse outbreak outcomes, to identify evidence based focal strategies of managing COVID-19 outbreaks in aged care settings. METHODS: A retrospective review of PHU documentation examined all 55 COVID-19 outbreaks in Wide Bay RACFs across the first 3 COVID-19 waves in Queensland, through thematic and statistical analysis. ​. RESULTS: Thematic analysis using the framework approach identified 5 themes associated with outcomes of COVID-19 outbreaks in RACFs. These were analysed for statistical significance against outbreak outcomes including duration, attack rate and case fatality rate. There was a significant relationship between memory support unit (MSU) involvement and adverse outbreak outcomes. Attack rate was significantly associated with communication frequency, symptom monitoring and case detection approach, staff shortages and cohorting. Staff shortages were also significantly associated with a prolonged outbreak duration. There was no statistically significant relationship between outbreak outcomes and resource availability or infection control strategy. ​. CONCLUSIONS: This emphasises the importance of frequent communication between PHUs and RACFs during active outbreaks, as well as the need for regular symptom monitoring and prompt case detection, to minimise viral transmission. Staff shortages and cohorting are also crucial factors to be addressed during outbreak management. IMPLICATIONS FOR PUBLIC HEALTH: This review adds to the evidence basis of COVID-19 outbreak management strategies to improve PHU advice to RACFs, to mitigate viral transmission and ultimately reduce the burden of disease associated with COVID-19 and other communicable diseases.

Workforce nurturing: an approach to improving wellbeing, burnout and professional fulfilment among Australian doctors.

Objective: To assess the workplace drivers of professional fulfilment, burnout and perceived impact of workplace issues on wellbeing in doctors working in a regional Australian hospital, following a 6-month period of comprehensive workforce nurturing strategies. Methods: An online cross-sectional survey combined both qualitative feedback and quantitative measures of wellbeing including the Stanford Professional Fulfillment Index to assess professional fulfillment and burnout and a workplace issues inventory to assess the relative perceived influence on work-related wellbeing. Results: Survey responses from 124 doctors comprised approximately 60% (n=74) prevocational doctors, 12% (n=15) registrars and 28% (n=35) specialist doctors. Around 63% (n=78) of participants were international medical graduates. Overall, 25% (n=31) reported professional fulfilment and 13% (n=13) reported burnout. The top 6 workplace issues were (i) inefficient work practices and/or processes, (ii) medical officer vacancies in my department, (iii) inadequate support staff and/or excessive admin burden, (iv) inadequate workplace staff amenities, (v) poor access to nutritious onsite food, (vi) inability to access my entitled daily meal break. Factors perceived as having a minimal impact on wellbeing included learning opportunities, rostering, access to leave and support during challenging clinical situations, were directly related to the workforce nurturing strategies implemented. Conclusions: This comprehensive evaluation of wellbeing in a regional healthcare setting provides a novel contribution to the literature by illustrating the transformative potential of workforce nurturing. Notably, the findings reflect the potential impact of workforce nurturing upon professional fulfilment and burnout, in the context of a regional hospital setting.

Evolving epidemiology of Q fever in Wide Bay.

Abstract: Q fever is a notifiable disease in Australia due to its public health significance. Recent data in the Wide Bay region (Queensland, Australia) suggests a rising number and changing geographical distribution of Q fever cases. This study aims to evaluate these changes through analysis of data from Queensland Health's Notifiable Conditions System (NoCS) over a ten-year period. A comparison was made between the recent five-year period (2018-2022) and the preceding five-year period (2013-2017) with reference to incidence rates, location of cases and likely exposures. Incidence rates of Q fever showed an upward trend over time, particularly in urban areas. This highlights the need for increased clinical suspicion, improved awareness among the community and healthcare providers, and potentially broadening of vaccination recommendations in the future.

High-Level Drug-Resistant Mutations among HIV-1 Subtype A6 and CRF02_AG in Kazakhstan.

HIV incidence in Kazakhstan increased by 73% between 2010 and 2020, with an estimated 35,000 people living with HIV (PLHIV) in 2020. The development of antiretroviral drug resistance is a major threat to effective antiretroviral therapy (ART), yet studies on the prevalence of drug resistance in Kazakhstan are sparse. In this study on the molecular epidemiology of HIV in Kazakhstan, we analyzed 968 partial HIV-1 pol sequences that were collected between 2017 and 2020 from PLHIV across all regions of Kazakhstan, covering almost 3% of PLHIV in 2020. Sequences predominantly represented subtypes A6 (57%) and CRF02_AG (41%), with 32% of sequences exhibiting high-level drug resistance. We further identified distinct drug-resistant mutations (DRMs) in the two subtypes: subtype A6 showed a propensity for DRMs A62V, G190S, K101E, and D67N, while CRF02_AG showed a propensity for K103N and V179E. Codon usage analysis revealed that different mutational pathways for the two subtypes may explain the difference in G190S and V179E frequencies. Phylogenetic analysis highlighted differences in the timing and geographic spread of both subtypes within the country, with A62V-harboring subtype A6 sequences clustering on the phylogeny, indicative of sustained transmission of the mutation. Our findings suggest an HIV epidemic characterized by high levels of drug resistance and differential DRM frequencies between subtypes. This emphasizes the importance of drug resistance monitoring within Kazakhstan, together with DRM and subtype screening at diagnosis, to tailor drug regimens and provide effective, virally suppressive ART.

Detection of HIV-1 Transmission Clusters from Dried Blood Spots within a Universal Test-and-Treat Trial in East Africa.

The Sustainable East Africa Research in Community Health (SEARCH) trial was a universal test-and-treat (UTT) trial in rural Uganda and Kenya, aiming to lower regional HIV-1 incidence. Here, we quantify breakthrough HIV-1 transmissions occurring during the trial from population-based, dried blood spot samples. Between 2013 and 2017, we obtained 549 gag and 488 pol HIV-1 consensus sequences from 745 participants: 469 participants infected prior to trial commencement and 276 SEARCH-incident infections. Putative transmission clusters, with a 1.5% pairwise genetic distance threshold, were inferred from maximum likelihood phylogenies; clusters arising after the start of SEARCH were identified with Bayesian time-calibrated phylogenies. Our phylodynamic approach identified nine clusters arising after the SEARCH start date: eight pairs and one triplet, representing mostly opposite-gender linked (6/9), within-community transmissions (7/9). Two clusters contained individuals with non-nucleoside reverse transcriptase inhibitor (NNRTI) resistance, both linked to intervention communities. The identification of SEARCH-incident, within-community transmissions reveals the role of unsuppressed individuals in sustaining the epidemic in both arms of a UTT trial setting. The presence of transmitted NNRTI resistance, implying treatment failure to the efavirenz-based antiretroviral therapy (ART) used during SEARCH, highlights the need to improve delivery and adherence to up-to-date ART recommendations, to halt HIV-1 transmission.