Background
In 2018, the World Health Organization prioritized control of acute rheumatic fever (ARF) and rheumatic heart disease (RHD), including disease surveillance. We developed strategies for estimating contemporary ARF/RHD incidence and prevalence in Australia (2015–2017) by age group, sex, and region for Indigenous and non‐Indigenous Australians based on innovative, direct methods.
Methods and Results
This population‐based study used linked administrative data from 5 Australian jurisdictions. A cohort of ARF (age <45 years) and RHD cases (<55 years) were sourced from jurisdictional ARF/RHD registers, surgical registries, and inpatient data. We developed robust methods for epidemiologic case ascertainment for ARF/RHD. We calculated age‐specific and age‐standardized incidence and prevalence. Age‐standardized rate and prevalence ratios compared disease burden between demographic subgroups. Of 1425 ARF episodes, 72.1% were first‐ever, 88.8% in Indigenous people and 78.6% were aged <25 years. The age‐standardized ARF first‐ever rates were 71.9 and 0.60/100 000 for Indigenous and non‐Indigenous populations, respectively (age‐standardized rate ratio=124.1; 95% CI, 105.2–146.3). The 2017 Global Burden of Disease RHD prevalent counts for Australia (<55 years) underestimate the burden (1518 versus 6156 Australia‐wide extrapolated from our study). The Indigenous age‐standardized RHD prevalence (666.3/100 000) was 61.4 times higher (95% CI, 59.3–63.5) than non‐Indigenous (10.9/100 000). Female RHD prevalence was double that in males. Regions in northern Australia had the highest rates.
Conclusions
This study provides the most accurate estimates to date of Australian ARF and RHD rates. The high Indigenous burden necessitates urgent government action. Findings suggest RHD may be underestimated in many high‐resource settings. The linked data methods outlined here have potential for global applicability.
Objective: To identify the causes of the gap in life expectancy between Indigenous and non‐Indigenous populations of the Northern Territory and how the causes have evolved over time.
Design and setting: Analysis of NT death data over four 5‐year periods, 1 January 1981 to 31 December 2000 inclusive. A decomposition method using discrete approximations (Vaupel and Romo) was applied to abridged life tables for the Indigenous and non‐Indigenous populations of the NT.
Main outcome measures: Contribution of causes of death, grouped according to global burden of disease groups and categories, to the life expectancy gap.
Results: The gap between the life expectancy of Indigenous and non‐Indigenous people in the NT did not appear to narrow over time, but there was a marked shift in the causes of the gap. In terms of disease groups, the contribution of communicable diseases, maternal, perinatal and nutritional conditions halved during the 20 years to 2000. Meanwhile, the contribution of non‐communicable diseases and conditions increased markedly. The contribution of injuries remained static. In terms of disease categories, the contribution of infectious diseases, respiratory infections and respiratory diseases declined considerably; however, these gains were offset by significantly larger increases in the contribution of cardiovascular diseases and diabetes for Indigenous women and cardiovascular diseases, cancers and digestive diseases for Indigenous men.
Conclusions: The main contributors to the gap in life expectancy between the Indigenous and non‐Indigenous populations were non‐communicable diseases and conditions, which are more prevalent in ageing populations. With the life expectancy of Indigenous people in the NT expected to improve, it is important that public health initiatives remain focused on preventing and managing chronic diseases.
There is a high prevalence in many Aboriginal communities. Strongyloides infection should be excluded prior to commencing immunosuppressive therapies in patients from endemic areas. Further studies examining the public health impact of strongyloidiasis, the role of the enzyme-linked immuno-sorbent assay serological test and population-based approaches to management of the disease in endemically infected Australian populations are needed.
HCC incidence remains high in the Indigenous people of the NT. More resources are needed for HCC surveillance and management programs in this population.
The difficulty of establishing a diagnosis and confirming cure of strongyloidiasis is widely appreciated. As parasitological diagnosis is often unsatisfactory, serodiagnosis is frequently relied upon. The aim of this study was to investigate changes in Strongyloides-specific antibody levels among a group of 79 seropositive Indigenous Australians living in a Strongyloides-endemic region. Testing before and after treatment revealed that seroreversion occurred most commonly after multiple courses of ivermectin therapy, with antibody titres of 35/42 (83%) subjects becoming negative. Seroreversion was also common following a single course of ivermectin or multiple courses of a 3-day regimen of albendazole, with seroreversion occurring in 13/19 (68%) and 7/10 (70%) subjects respectively. One 3-day course of albendazole was less effective with 4/10 (40%) subjects seroreverting, whereas none of the five subjects receiving a single dose of albendazole and 1/10 (10%) of subjects receiving no therapy seroreverted. These results support the use of serological follow-up for strongyloidiasis, and indicate that reversion to negative serostatus after ivermectin therapy is frequent.
The Northern Territory (NT) Centre for Disease Control (CDC) undertook contact tracing of all notified cases of coronavirus disease 2019 (COVID-19) within the Territory. There were 28 cases of COVID-19 notified in the NT between 1 March and 30 April 2020. In total 527 people were identified as close contacts over the same period; 493 were successfully contacted; 445 were located in the NT and were subsequently quarantined and monitored for disease symptoms daily for 14 days after contact with a confirmed COVID-19 case. Of these 445 close contacts, 4 tested positive for COVID-19 after developing symptoms; 2/46 contacts who were cruise ship passengers (4.3%, 95% CI 0.5–14.8%) and 2/51 household contacts (3.9%, 95% CI 0.5–13.5%). None of the 326 aircraft passengers or 4 healthcare workers who were being monitored in the NT as close contacts became cases.
These outbreaks demonstrate the potential of foodborne disease to spread internationally and the need for national and international collaboration to investigate such outbreaks. Foodborne illness related to norovirus is underestimated because of underreporting of human cases and challenges in laboratory detection of viruses in foods, both of which can delay public health action.
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