Utilization of temperature-mediated activation of thyroid hormone-induced molecular memory to evaluate early signaling events in the olfactory epithelium of Rana [Lithobates] catesbeiana tadpoles.

The amphibian olfactory system is highly distinct between aquatic tadpole and terrestrial frog life stages and therefore must remodel extensively during thyroid hormone (TH)-dependent metamorphosis. Developmentally appropriate functioning of the olfactory epithelium is critical for survival. Previous studies in other Rana [Lithobates] catesbeiana premetamorphic tadpole tissues showed that initiation of TH-induced metamorphosis can be uncoupled from execution of TH-dependent programs by holding tadpoles in the cold rather than at warmer permissive temperatures. TH-exposed tadpoles at the nonpermissive (5 °C) temperature do not undergo metamorphosis but retain a "molecular memory" of TH exposure that is activated upon shift to a permissive warm temperature. Herein, premetamorphic tadpoles were held at permissive (24 °C) or nonpermissive (5 °C) temperatures and injected with 10 pmoles/g body weight 3,5,3'-triiodothyronine (T3) or solvent control. Olfactory epithelium was collected at 48 h post-injection. RNA-sequencing (RNA-Seq) and reverse transcriptase quantitative real-time polymerase chain reaction (RT-qPCR) analyses generated differentially expressed transcript profiles of 4328 and 54 contigs for permissive and nonpermissive temperatures, respectively. Translation, rRNA, spliceosome, and proteolytic processes gene ontologies were enriched by T3 treatment at 24 °C while negative regulation of cell proliferation was enriched by T3 at 5 °C. Of note, as found in other tissues, TH-induced basic leucine zipper-containing protein-encoding transcript, thibz, was significantly induced by T3 at both temperatures, suggesting a role in the establishment of molecular memory in the olfactory epithelium. The current study provides critical insights by deconstructing early TH-induced induction of postembryonic processes that may be targets for disruption by environmental contaminants.

How do field epidemiologists learn? A protocol for a qualitative inquiry into learning in field epidemiology training programmes.

INTRODUCTION: COVID-19 underscored the importance of field epidemiology training programmes (FETPs) as countries struggled with overwhelming demands. Experts are calling for more field epidemiologists with better training. Since 1951, FETPs have been building public health capacities across the globe, yet explorations of learning in these programmes are lacking. This qualitative study will (1) describe approaches to training field epidemiologists in FETP; (2) describe strategies for learning field epidemiology among FETP trainees and (3) explain the principles and practices aligning training approaches with learning strategies in FETP. METHODS AND ANALYSIS: The research design, implementation and interpretation are collaborative efforts with FETP trainers. Data collection will include interviews with FETP trainers and trainees and participant observations of FETP training and learning events in four FETP in the Western Pacific Region. Data analysis will occur in three phases: (1) we will use the constant comparison method of Charmaz's grounded theory during open coding to identify and prioritise categories and properties in the data; (2) during focused coding, we will use constant comparison and Polkinghorne's analysis of narratives, comparing stories of prioritised categories, to fill out properties of those categories and (3) we will use Polkinghorne's narrative analysis to construct narratives that reflect domains of interest, identifying correspondence among Carr and Kemmis's practices, understandings and situations to explain principles and processes of learning in FETP. ETHICS AND DISSEMINATION: We have obtained the required ethics approvals to conduct this research at The Australian National University (2021/771) and Taiwan's Ministry of Health and Welfare (112206). Data will not be available publicly, but anonymised findings will be shared with FETP for collaborative interpretation. Ultimately, findings and interpretations will appear in peer-reviewed journals and conferences.

Shiga Toxin‒Producing Escherichia coli Diagnoses from Health Practitioners, Queensland, Australia.

In Queensland, Australia, 31 of 96 Shiga toxin‒producing Escherichia coli cases during 2020-2022 were reported by a specialty pathology laboratory servicing alternative health practitioners. Those new cases were more likely to be asymptomatic or paucisymptomatic, prompting a review of the standard public health response.

After action review of the COVID-19 surveillance system in Quang Ninh Province, Vietnam, in 2020.

Surveillance is the backbone of any response to an infectious disease outbreak, and comprehensive evaluation of surveillance systems is crucial. However, structured evaluations of surveillance systems during the COVID-19 pandemic are scarce. We conducted an after action review (AAR) of the performance of the COVID-19 surveillance system in Quang Ninh Province, Vietnam, during 2020 using the COVID-19-specific AAR methodology developed by the World Health Organization in combination with guidance from the US Centers for Disease Control and Prevention (CDC). We conducted a stakeholder survey, document reviews, and key informant interviews with staff from Quang Ninh CDC's COVID-19 surveillance system. The COVID-19 surveillance system was based on the pre-existing surveillance system in the province. The system's strengths were early preparation for emergency response, strong governance and central coordination, and multidisciplinary collaboration. Stakeholders agreed that the system proved useful and adaptive to the fast-evolving COVID-19 situation but was weakened by overly complex systems, redundant administrative processes, unclear communication channels, and lack of resources. Overall, the surveillance systems in Quang Ninh province proved effective in containing COVID-19 and adaptive in a fast-changing epidemiological context. Several recommendations were made based on identified areas of concern that are of relevance for COVID-19 surveillance systems in Vietnam and similar settings.

A five-year analysis of latent tuberculosis infection in Queensland, 2016-2020.

Background Australia is aiming to reach tuberculosis pre-elimination targets by 2035. As a low-incidence setting, control efforts will increasingly rely on the management of latent tuberculosis infection (LTBI). We undertook this descriptive analysis to assess the recent trends of LTBI testing in Queensland. Methods Our objective was to describe the features of LTBI testing in Queensland, and to estimate the range of possible annual notifications were it to be made a notifiable condition. We collated both state-wide and region-specific data on tuberculin skin testing (TST) and interferon gamma release assays (IGRA) conducted in Queensland during the five-year period 1 January 2016 - 31 December 2020. We used reports on Medicare-funded TST and IGRA testing in Queensland, as well as tuberculosis notification data, to understand the representativeness of our data and to derive state-wide estimates. Results We analysed 3,899 public TST, 5,463 private TST, 37,802 public pathology IGRA, and 31,656 private pathology IGRA results. The median age of people tested was 31 years; 57% of those tested were female. From our data sources, an annual average of 1,067 positive IGRA and 354 positive TST results occurred in Queensland. Building on this minimum value, we estimate possible latent tuberculosis notifications in Queensland could range from 2,901 to 6,995 per annum. Private laboratory TSTs are estimated to contribute the lowest number of potential notifications (range: 170-340), followed by private laboratory IGRA testing (range: 354-922), public laboratory IGRA testing (range: 706-1,138), and public setting TSTs (range: 1,671-4,595). Conclusion If LTBI were to be made notifiable, these estimates would place it among the ten most notified conditions in Queensland. This has implications for potential surveillance methods and goals, and their associated system and resource requirements.

Assessing the impact of chickenpox and shingles vaccination using intermittent enhanced surveillance in Queensland, Australia.

INTRODUCTION: Chickenpox and shingles are vaccine preventable diseases caused by varicella-zoster virus (VZV). Chickenpox is more common in children before adolescence and shingles among ≥50 years of age. With this study we aimed to determine changes in VZV epidemiology following chickenpox and shingles vaccine introduction in Queensland. METHODS: This case series study used notified cases of VZV infection in Queensland from January 2010 to December 2021. In Queensland, VZV notifications are received as mostly clinically unspecified cases from pathology laboratories. Intermittent enhanced surveillance was conducted using clinician follow up to determine chickenpox and shingles clinical presentation, and we then analysed these by age-group, time period, and within vaccine eligible cohorts. RESULTS: Of the 87,759 VZV notifications received, 70 % (n = 61,298) were notified as unspecified, followed by 23 % shingles (n = 19,927), and 7 % chickenpox (n = 6,534). Over the study period, the percent change in total notifications adjusted by age and sex was estimated to be an increase of 5.7 % (95 % CI 4.9-6.4) each year. The chickenpox notifications fell sharply at 18 months of age (eligible for chickenpox vaccine) with the rate being 57 % and 36 % lower among those aged 18-23 months compared to <12 and 12-17 months of age, respectively. Assuming all cases aged 60 years and older were shingles, notification rates of shingles decreased by 12-22 % among 70-79 years old (eligible for shingles vaccination) over the years 2017-2021 after vaccine introduction in 2016. CONCLUSION: The VZV notification rate has increased over time in Queensland. Impact of chickenpox and shingles vaccines funded under National Immunisation Program is seen with a decline in notification rates among age-specific cohorts eligible to receive the vaccines under the program. Introduction of a second childhood dose chickenpox vaccine and more effective recombinant shingles vaccine may further improve the impact of the vaccination program.

External validation of the Health Care Homes hospital admission risk stratification tool in the Aboriginal Australian population of the Northern Territory.

Objective This study aimed to externally validate the Commonwealth's Health Care Homes (HCH) algorithm for Aboriginal Australians living in the Northern Territory (NT). Methods A retrospective cohort study design using linked primary health care (PHC) and hospital data was used to analyse the performance of the HCH algorithm in predicting the risk of hospitalisation for the NT study population. The study population consisted of Aboriginal Australians residing in the NT who have visited a PHC clinic at one of the 54 NT Government clinics at least once between 1 January 2013 and 31 December 2017. Predictors of hospitalisation included demographics, patient observations, medications, diagnoses, pathology results and previous hospitalisation. Results There were a total of 3256 (28.5%) emergency attendances or preventable hospitalisations during the study period. The HCH algorithm had an area under the receiver operating characteristic curve (AUC) of 0.58 for the NT remote Aboriginal population, compared with 0.66 in the Victorian cohort. A refitted model including 'previous hospitalisation' had an AUC of 0.72, demonstrating better discrimination than the HCH algorithm. Calibration was also improved in the refitted model, with an intercept of 0.00 and a slope of 1.00, compared with an intercept of 1.29 and a slope of 0.55 in the HCH algorithm. Conclusion The HCH algorithm performed poorly on the NT cohort compared with the Victorian cohort, due to differences in population demographics and burden of disease. A population-specific hospitalisation risk algorithm is required for the NT.

After action review of the COVID-19 surveillance system in Quang Ninh Province, Vietnam, in 2020.

Surveillance is the backbone of any response to an infectious disease outbreak, and comprehensive evaluation of surveillance systems is crucial. However, structured evaluations of surveillance systems during the COVID-19 pandemic are scarce. We conducted a after action review (AAR) of the performance of the COVID-19 surveillance system in Quang Ninh Province, Vietnam, during 2020 using the COVID-19-specific AAR methodology developed by the World Health Organization in combination with guidance from the US Centers for Disease Control and Prevention (CDC). We conducted a stakeholder survey, document reviews, and key informant interviews with staff from Quang Ninh CDC's COVID-19 surveillance system. The COVID-19 surveillance system was based on the pre-existing surveillance system in the province. The system's strengths were early preparation for emergency response, strong governance and central coordination, and multidisciplinary collaboration. Stakeholders agreed that the system proved useful and adaptive to the fast-evolving COVID-19 situation but was weakened by overly complex systems, redundant administrative processes, unclear communication channels, and lack of resources. Overall, the surveillance systems in Quang Ninh province proved effective in containing COVID-19 and adaptive in a fast-changing epidemiological context. Several recommendations were made based on identified areas of concern that are of relevance for COVID-19 surveillance systems in Vietnam and similar settings.

Usefulness of linked data for infectious disease events: a systematic review.

Surveillance is a key public health function to enable early detection of infectious disease events and inform public health action. Data linkage may improve the depth of data for response to infectious disease events. This study aimed to describe the uses of linked data for infectious disease events. A systematic review was conducted using Pubmed, CINAHL and Web of Science. Studies were included if they used data linkage for an acute infectious disease event (e.g. outbreak of disease). We summarised the event, study aims and designs; data sets; linkage methods; outcomes reported; and benefits and limitations. Fifty-four studies were included. Uses of linkage for infectious disease events included assessment of severity of disease and risk factors; improved case finding and contact tracing; and vaccine uptake, safety and effectiveness. The ability to conduct larger scale population level studies was identified as a benefit, in particular for rarer exposures, risk factors or outcomes. Limitations included timeliness, data quality and inability to collect additional variables. This review demonstrated multiple uses of data linkage for infectious disease events. As infectious disease events occur without warning, there is a need to establish pre-approved protocols and the infrastructure for data-linkage to enhance information available during an event.

Effect of COVID-19 pandemic restrictions on chlamydia and gonorrhoea notifications and testing in Queensland, Australia: an interrupted time series analysis.

OBJECTIVE: To investigate trends in testing and notifications of chlamydia and gonorrhoea during the COVID-19 pandemic in Queensland, Australia. METHODS: Statewide disease notification and testing data between 1 January 2015 and 31 December 2021 were modelled using interrupted time series. A segmented regression model estimated the pre-pandemic trend and observed effect of the COVID-19 pandemic response on weekly chlamydia notifications, monthly gonorrhoea notifications and monthly testing figures. The intervention time point was 29 March 2020, when key COVID-19 public health restrictions were introduced. RESULTS: There were 158 064 chlamydia and 33 404 gonorrhoea notifications and 2 107 057 combined chlamydia and gonorrhoea tests across the 72-month study period. All three studied outcomes were increasing prior to the COVID-19 pandemic. Immediate declines were observed for all studied outcomes. Directly after COVID-19 restrictions were introduced, declines were observed for all chlamydia notifications (mean decrease 48.4 notifications/week, 95% CI -77.1 to -19.6), gonorrhoea notifications among males (mean decrease 39.1 notifications/month, 95% CI -73.9 to -4.3) and combined testing (mean decrease 4262 tests/month, 95% CI -6646 to -1877). The immediate decline was more pronounced among males for both conditions. By the end of the study period, only monthly gonorrhoea notifications showed a continuing decline (mean decrease 3.3 notifications/month, p<0.001). CONCLUSION: There is a difference between the immediate and sustained impact of the COVID-19 pandemic on reported chlamydia and gonorrhoea notifications and testing in Queensland, Australia. This prompts considerations for disease surveillance and management in future pandemics. Possible explanations for our findings are an interruption or change to healthcare services during the pandemic, reduced or changed sexual practices or changed disease transmission patterns due to international travel restrictions. As pandemic priorities shift, STIs remain an important public health priority to be addressed.

Undetected serovars: leptospirosis cases in the Cairns region during the 2021 wet season.

Background: Leptospirosis infection can lead to serious renal and cardiopulmonary complications and can be fatal. Following heavy rainfall and localised flooding in early 2021, Tropical Public Health Services in Cairns were alerted to an increase in leptospirosis cases in the region, with notifications almost three times higher than usual by mid-February. An epidemiological investigation was undertaken. Methods: Leptospirosis notification data were obtained from the Queensland Notifiable Conditions System. Confirmed and probable cases residing in the Cairns region, with an onset date between 1 January and 31 May 2021, were included in the investigation. Case demographics, pathology results, symptoms, hospital stay information and presumed exposure sources were obtained from Queensland Health records; local rainfall data was obtained from the Australian Bureau of Meteorology. Case characteristics and rainfall were compared to the prior ten-year period and the distribution of cases by week of onset, address, exposure source and infecting serovar analysed. Results: A total of 43 leptospirosis cases were notified between January and May 2021, the highest number recorded for the region since 2011. Presumed exposure sources were available for 40 cases (93.0%), with 33 cases (82.5%) exposed occupationally, including 25 cases working on banana farms. Infecting Leptospira serovars were identified for five cases (11.6%), with four infected with serovar Australis and one with serovar Zanoni. Limited information about the specific exposure sites for each case and a low serovar detection rate hampered the ability to confirm the presence or absence of a leptospirosis outbreak. While heavy rainfall is likely to have contributed to the spike in cases, no factors were identified as clearly associated with the increase. Conclusions: A number of pathways are proposed to improve the collection of exposure site data and the identification of infecting serovars, in order to strengthen local leptospirosis surveillance and the ability to detect outbreaks in the Cairns region.

Queensland typhoid cluster linked to twelve-year carriage of Salmonella Typhi.

In September 2021, a household cluster of three typhoid cases was investigated by Queensland public health authorities. Through case interviews and molecular typing, the investigation revealed chronic carriage of Salmonella Typhi persisting at least 12 years in the index case. This case report summarises the investigation and highlights the complexity of chronic pathogen carriage in the control and management of typhoid disease. Our findings raise considerations for prevention and treatment guidelines in Australia and demonstrate the beneficial role of molecular typing for complex case investigations.

Common Features of Selection Processes of Health System Performance Indicators in Primary Healthcare: A Systematic Review.

BACKGROUND: Health system performance indicators are widely used to assess primary healthcare (PHC) performance. Despite the numerous tools and some convergence on indicator criteria, there is not a clear understanding of the common features of indicator selection processes. We aimed to review the literature to identify papers that document indicator selection processes for health system performance indicators in PHC. METHODS: We searched the online databases Scopus, Medline, and CINAHL, as well as the grey literature, without time restrictions, initially on July 31, 2019 followed by an update November 13, 2020. Empirical studies or reports were included if they described the selection of health system performance indicators or frameworks, that included PHC indicators. A combination of the process focussed research question and qualitative analysis meant a quality appraisal tool or assessment of bias could not meaningfully be applied to assess individual studies. We undertook an inductive analysis based on potential indicator selection processes criteria, drawn from health system performance indicator appraisal tools reported in the literature. RESULTS: We identified 16 503 records of which 28 were included in the review. Most studies used a descriptive case study design. We found no consistent variations between indicator selection processes of health systems of high income and low- or lower-middle income countries. Identified common features of selection processes for indicators in PHC include literature review or adaption of an existing framework as an initial step; a consensus building process with stakeholders; structuring indicators into categories; and indicator criteria focusing on validity and feasibility. The evidence around field testing with utility and consideration of reporting burden was less clear. CONCLUSION: Our findings highlight several characteristics of health system indicator selection processes. These features provide the groundwork to better understand how to value indicator selection processes in PHC.

Emergency Department staff experiences of screening and response for intimate partner violence in a multi-site feasibility study: Acceptability, enablers and barriers.

BACKGROUND: Intimate partner violence is a lead cause of ill health and premature death among Australian women. Abused women are likely to present to Emergency Departments. Routine screening provides opportunities to identify and respond to intimate partner violence. METHODS: A six-month screening feasibility study was conducted in two rural and one urban NSW Emergency Departments. Surveys with participating nurses, medical officers and social workers, as well as focus groups with nurses and social workers were conducted at each site to understand their experience. RESULTS: Survey respondents (n = 198) agreed it was appropriate (87%) and acceptable (91%) to screen for intimate partner violence in Emergency Departments. Overall 62% of respondents suggested screening had positive impacts on womens' care. Focus group discussions with 39 nurses and social workers identified enablers of screening as: ease of use of the screening tool; availability of social work response within one hour (as per the study protocol); and executive support. Barriers were: high patient volume; lack of integration with existing processes; lack of privacy and brevity of training. CONCLUSIONS: Screening in Emergency Departments was strongly supported by health practitioners who responded to the survey. Work is needed to address competing demands, integration of screening processes, and staff training.

Differential privacy for public health data: An innovative tool to optimize information sharing while protecting data confidentiality.

Coronavirus disease 2019 (COVID-19) has highlighted the need for the timely collection and sharing of public health data. It is important that data sharing is balanced with protecting confidentiality. Here we discuss an innovative mechanism to protect health data, called differential privacy. Differential privacy is a mathematically rigorous definition of privacy that aims to protect against all possible adversaries. In layperson's terms, statistical noise is applied to the data so that overall patterns can be described, but data on individuals are unlikely to be extracted. One of the first use cases for health data in Australia is the development of the COVID-19 Real-Time Information System for Preparedness and Epidemic Response (CRISPER), which provides proof of concept for the use of this technology in the health sector. If successful, this will benefit future sharing of public health data.

Development of the COVID-19 Real-Time Information System for Preparedness and Epidemic Response (CRISPER), Australia.

Accurate and current information has been highlighted across the globe as a critical requirement for the COVID-19 pandemic response. To address this need, many interactive dashboards providing a range of different information about COVID-19 have been developed. A similar tool in Australia containing current information about COVID-19 could assist general practitioners and public health responders in their pandemic response efforts. The COVID-19 Real-time Information System for Preparedness and Epidemic Response (CRISPER) has been developed to provide accurate and spatially explicit real-time information for COVID-19 cases, deaths, testing and contact tracing locations in Australia. Developed based on feedback from key users and stakeholders, the system comprises three main components: (1) a data engine; (2) data visualization and interactive mapping tools; and (3) an automated alert system. This system provides integrated data from multiple sources in one platform which optimizes information sharing with public health responders, primary health care practitioners and the general public.