Cooperative Research Centre Research Articles

Reducing food waste through persuasive communication design: how data visualisation principles reinforce behaviour change social marketing messages

PurposeThis paper aims to demonstrate how the design of data visualisations can act as a tool to support social marketing messages in prompting behaviour change to reduce food waste using the Elaboration Likelihood Model (ELM) as a theoretical framework. It also responds to a lack of consumer-led insight to develop campaigns in reducing food waste.Design/methodology/approachThe research uses data collected by the End Food Waste Cooperative Research Centre (EFW CRC) in Australia to determine which text-based campaign messages are most likely to prompt people toward reducing food waste. Behaviour change messages were first identified through workshops with 11 food waste experts, then explored through online focus group discussions with 18 participants from three food-wasting market segments. The messages were further tested via a quantitative survey among 1,000 decision makers in Australian households in their own homes, with the top three performing messages examined using summative content analysis.FindingsThe significant findings were that participants want to see 1) evidence of how adopting new behaviours would lead to financial savings and benefit the environment, and 2) concrete steps to reduce food waste. When examined through the ELM, the findings suggest that tools that encourage both cognitive and peripheral processing as a means of persuasion, like data visualisations, may be useful for changing food-wasting behaviours.Research limitations/implicationsApplying principles from the field of communication design to the ELM has uncovered the potential for a cross-disciplinary approach to enhance theoretical frameworks for understanding consumer engagement with messages. This process in turn, may lead to the development of more effective behaviour change marketing strategies.Practical implicationsSix principles for using data visualisations in a social marketing campaign are proposed: personal relevance, ease of use, emotional storytelling, context, prioritising the message itself and long-term usage.Originality/valueThis study proposes that data visualisations could enhance the effectiveness of social marketing campaigns by leveraging consumer-derived insights and the persuasive capacity inherent in their theoretical underpinnings.

Introducing CRC SAAFE: a new Cooperative Research Centre (CRC) focused on managing AMR in agriculture and the environment

Introducing CRC SAAFE: a new Cooperative Research Centre (CRC) focused on managing AMR in agriculture and the environment

Multidisciplinary design and optimization of intelligent Distributed Satellite Systems for EARTH observation

Recent advances in small, connected and intelligent satellite systems have created a wide range of opportunities for the adoption of intelligent Distributed Satellite Systems (iDSS) in communication, navigation and Earth Observation (EO) missions. iDSS are goal-oriented systems comprising of multiple satellites or modules that interact, communicate and/or cooperate with each other to accomplish the desired mission goals. The ability to mass-produce low-cost small satellites and contemporary developments in avionics/astrionics technology have spurred interest in iDSS, especially for Low Earth Orbit (LEO) satellite constellations and regional clusters. The SmartSat Cooperative Research Centre (CRC) and Australian space roadmap, as well as the landmark National Space Programme strategy and priorities, encompass EO. To date, insufficient progress and no conclusive outcome was made in terms of how contemporary Multidisciplinary Design Optimization (MDO) models and tools can be best tailored to the new capabilities and specificities of iDSS. The MDO of iDSS is challenging because it introduces new variables and highly non-linear interactions. In this context, we propose an MDO methodology to optimize an iDSS for persistent coverage over the entire Australian landmass. Several aspects of the iDSS are considered in this work, including the constellation model, subsystem models and the coupling interactions between different satellite subsystems and constellation design parameters. The constellation configuration, as well as the subsystems, are modelled using OpenMDAO, which is used to analyze and visualize the planned iDSS EO mission. The iDSS is then optimized using the Multidisciplinary Feasible (MDF) architecture approach and the iDSS interdependencies are numerically treated using the Nonlinear Block Gauss-Seidel (NLBGS) iterative solver. The resulting N2 diagrams are presented and the proposed solution is both spatially and temporally optimized, demonstrating that the proposed iDSS will enable near real-time persistent coverage over the entire Australian continent.

Exploring genetic variation in potential indicators of resilience in sheep using fibre diameter measured along the wool staple

Production animals are increasingly exposed to a wide variety of disturbances that can compromise their productivity, health and well-being. As a result, there is a growing need to be able to select animals that are more resilient to environmental disturbances. Fibre diameter variation measured along a wool staple is expected to contain information about how resilient sheep are to the disturbances of their internal and external environment. This study aimed to develop potential resilience indicators from fibre diameter variation, estimate their genetic parameters and assess whether these traits are genetically correlated across three age stages. The study used 6 140 Merino sheep from the Sheep Cooperative Research Centre Information Nucleus Flocks recorded at yearling, 2 years old, and adult ages. Eight potential traits were defined based on theory, literature and exploratory analysis, which were suggested to capture the animal’s ability to resist, respond and recover from potential disturbances. Genetic evaluation of the traits was conducted using pedigree-based animal models. The traits were shown to be low to moderately heritable (0.01–0.33) when examined at each of the three age stages. The potential indicators were generally well correlated with one another within age stages. Further, the genetic correlation between the same trait measured at different age stages was moderate to high between yearling and 2 years old (0.35–0.94) and between 2 years old and adults (0.18–0.70), while slightly lower between yearling and adult estimates (0.09–0.62). These results suggest that selection for resilience indicators from fibre diameter is possible; however, further studies are warranted to refine the trait definitions and validate these indicators against other measures of health, fitness and productive performance.

Analysis of the Australian Government’s Security Strategy in Countering the Potential Threat of Terrorism Groups Through Cyber Terrorism Instruments

This paper discusses the strategies adopted by Australia in dealing with and overcoming the violent acts of Cyber Terrorism. Since the terrorist attack on September 11, 2001 in the United States, countries in the world have assumed the existence of terrorist groups as a global threat. Globalization has enabled the terrorist groups to transform conventional media in the cyber world into the infamous cyber terrorism which they use as a propaganda instrument for recruitment, providing logistics, training, forming paramilitaries, planning, carrying out attacks, hiding, and funding. This paper discussed the concept Australian national security which has developed beyond military. The concept of security according to the non-traditional approach is emphasized on the security interests of non-state actors (non-state actors). The present research used descriptive qualitative research, employing literature review or library research for data collection. The results found that the Australian government remains vigilant against cyberterrorism through law enforcement and international cooperation. The Australian government has stipulated the Criminal Code Act 1995 part 5.3 to fight against the acts of terrorism. In addition, to increase domestic skills in cyberspace, The Australian government also establish Australia's Cyber Security, through which the Australian Cyber Security Centre (ACSC) founded Joint Cyber Security Centres (JCSCs), AustCyber, the Australian Cyber Security Growth Network, and the Cyber Security Cooperative Research Centre. and. Australia is also committed to supporting and maintaining international mechanisms that promote stability and to working with partners on a voluntary basis to prevent and respond to threats, including cyber terrorism.

Sociocultural factors associated with detection of autism among culturally and linguistically diverse communities in Australia

BackgroundThe age at which parents or caregivers first develop concerns about their child’s development has significant implications on formal diagnosis and intervention. This study aims to determine the sociocultural factors that are associated with the age and type of first concern reported by parents of autistic children among culturally and linguistically diverse (CALD) communities in Australia. We also assessed whether sociocultural factors predict autism traits measured in terms of social affect (SA), restricted and repetitive behaviours (RRB), and calibrated severity scores (CSS).MethodsThis study is a secondary data analysis of the data collected from six Autism Specific Early Learning and Care Centres (ASELCCs) as part of the Autism Co-operative Research Centre (CRC) program between 2015 and 2019. Data analysed in this study included a family history questionnaire with sociodemographic and sociocultural information, parent-reported age and type of first concern, and clinician/researcher administered Autism Diagnostic Observation Schedule - Second Edition (ADOS-2) which includes standardised domain-wise scores of social affect (SA) and restricted and repetitive behaviours (RRB) as well as calibrated severity scores (CSS), a measure of severity of autism. Primary analysis included multivariable linear regression models to examine the predictive influence of sociodemographic and sociocultural factors on the dependant variables of age of concern (AOC) and the autism traits (SA, RRB, and CSS).ResultsThe mean AOC in the sample was 18.18 months and the most common concerns were speech/language delay, limited social interaction, and hyperactivity/behavioural changes. The multivariable linear regression models showed factors such as increase in age of child, those from a CALD background, annual family income, sibling’s autism diagnosis, and developmental concerns to be significantly associated with parental AOC. Additionally, we also found that increase in child’s age and CALD status to be significant predictors of autism trait (RRB) and severity measured in terms of the CSS score. Further, females (compared to males) were associated with higher difficulties with social communication and interaction skills.ConclusionUnderstanding key factors that contribute to early identification of autism can help tailor awareness programs for parents and caregivers, whilst also informing the development of services focused on serving all CALD communities.

The Role of Distributed Energy Resources and Associated Business Models in the Decentralised Energy Transition: A Review

The shift from large-scale centralised energy systems to smaller scale decentralised systems based on Distributed Energy Resources (DER) is likely to cause a sector-wide replacement of current electricity management practices and business models—creating a new energy paradigm. If handled well, such a transition will not be inherently disruptive; however, it can cause major disruption if long-held views and assumptions are not rapidly reconsidered and renewed, and new supporting structures are not swiftly put in place—hence, if disruption is experienced it will be due to a lack of strategic responses rather than the nature of the technology. This paper clarifies the nature of DERs and outlines key issues and opportunities associated with a range of associated service configurations and business models. The paper outlines key factors affecting the viability of such approaches and identifies leverage points for accelerating uptake. The paper concludes by considering how shifting landscape factors and related opportunities in the coming decades will shape the transition to a decentralised energy system. This paper contains findings from research performed at the Renewable, Affordable, Clean Energy Cooperative Research Centre (RACE CRC) in Australia.

A step in the right direction: the potential role of smartwatches in supporting chronic disease prevention in health care.

A step in the right direction: the potential role of smartwatches in supporting chronic disease prevention in health care.

Hydrogen Initiatives in the Blue Economy Cooperative Research Centre

Hydrogen Initiatives in the Blue Economy Cooperative Research Centre

Weak genotype x environment interaction suggests that measuring scrotal circumference at 12 and 18 mo of age is helpful to select precocious Brahman cattle.

The aim of this study was to evaluate the genotype x environment interaction (GxE) for scrotal circumference (SC) measured at different ages using pedigree-based (A-1) and pedigree and genomic-based (H-1) relationship matrices. Data from 1,515 Brahman bulls, from the Cooperative Research Centre for Beef Genetic Technologies (Beef CRC) experimental dataset, were used in this study. SC was adjusted to age and body weight measured at 6 mo (SC6), 12 mo (SC12), 18 mo (SC18), and 24 mo of age (SC24). Body weight (BW) measured at 6 mo (BW6), 12 mo (BW12), 18 mo (BW18), and 24 mo of age (BW24) was used as criteria to describe the environment for SC in each age. All the animals measured were genotyped using medium-density SNP chips ("50k" or "70k" SNP) and their genotype were imputed using a reference panel with 729,068 SNP. The environment gradient (EG) was obtained by standardizing the solutions of the contemporary groups obtained by Animal Model with BW as the dependent variable. Then, the reaction norms (RN) were determined through a Random Regression Model. The breeding values (EBV) were estimated using either A-1 or H-1. The rank correlation was obtained using Spearman's correlation among the EBV estimated for the traits in analysis. For SC6 and SC24, higher estimates of heritability (h²) were obtained using A-1, when compared with those observed with H-1. In those ages, the improvement of the environment decreases the h² coefficient. On the other hand, the h² for SC12 and SC18 increased as the environment became more favorable, regardless of the matrix used. The RN for SC6 and SC24 estimated using A-1 and H-1 showed a decrease of variance from the worst to the best environment, an indication of existence of GxE. On the other hand, for SC12 and SC18, there were no significant differences between the EBV estimated in the lower and in the higher environments, regardless of the kinship matrix used, suggesting absence of GxE on those ages. Spearman's correlation among EBV estimated using A-1 and H-1 in different EG was practically equal to unity for all traits evaluated. In our study, there was weak evidence of GxE effect on SC in ages suitable for selection for sexual precocity. So, the absence of GxE at 12 and 18 mo means that these ages are advantageous for measuring SC to selection for sexual precocity. The advantage is that no changes in classification were observed when the sires were evaluated in different environments.

SIEM4GS: Security Information and Event Management for a Virtual Ground Station Testbed

As the space sector continues to grow, so do the cybersecurity risks. As large as the attack surface of a space system is, the ground segment remains an attractive source of intrusion points, not only because of its relative accessibility but also because the ground system is often viewed as little more than a conventional IT system. Thus, a representative security assessment of a space system cannot avoid addressing the vulnerabilities of the associated ground system and the relevant threats. This motivates the construction of a virtual ground station testbed, as part of larger reference platform, to support our ongoing research on the cybersecurity of space systems. Presented here is a discussion of the preliminary work being undertaken at the University of South Australia node of the SmartSat Cooperative Research Centre on such a testbed. A distinguishing feature of the testbed is the integration of a security information and event management (SIEM) system justifying the name of the testbed, “SIEM4GS”. Based on the latest literature on ground stations, a logical architecture and an implementation plan involving only open-source software building blocks for SIEM4GS are proposed. Features of the ground station and SIEM services are discussed. A plan is provided on how to extend the SIEM system from a primarily “detect” role in the NIST Cybersecurity Framework to a “detect and respond” role.

Marine biorefinery: an environmentally sustainable solution to turn marine biomass and processing wastes into value-added products and profits

Marine biorefinery: an environmentally sustainable solution to turn marine biomass and processing wastes into value-added products and profits

Sire Breed, Litter Size, and Environment Influence Genetic Potential for Lamb Growth When Using Sire Breeding Values.

Simple SummaryPrevious studies have demonstrated a reduced response to sire growth breeding values when there is poor ewe nutrition, resulting in lighter lambs. The current study has demonstrated that production factors which influence lamb growth, such as birth type, rear type, or sire breed, have a similar effect. The reduced growth in lambs is quantified in this study to provide lamb producers with realistic expectations of lamb growth, when high growth sires are used in combination with production factors which influence growth.Lamb growth can be optimised with genetic selection using sire Australian sheep breeding values, however, breeding value expression has been shown to be reduced with poor nutrition. It was therefore hypothesised that the genetic potential for lamb growth would also be reduced, where production factors such as multiple births limit growth. Live weights at birth, weaning, and post-weaning were collected from more than 18,000 lambs produced over five years and eight locations of the Sheep Cooperative Research Centre Information Nucleus Flock experiment, and the impact of environment, production factors, and genotype was determined using mixed effects regression. The genetic potential for lamb growth was moderated by environment, multiple births, and sire type (p < 0.05). Twin lambs achieved 76% of the expected weight gain at weaning and 58% post-weaning. For triplet lambs weight gains were drastically less at approximately 30% of the expected gain at the same time points. Lambs born to maternal sires consistently had the poorest response to genetic selection, achieving approximately half the expected weight gain. Hence, producers need to temper expectations for growth based on genetic selection, or employ mitigation strategies such as precision feeding, the use of alternate breeds, or place emphasis on the genetic merit of other desirable traits.

Debris collision mitigation from the ground using laser guide star adaptive optics at mount Stromlo observatory

The Australian National University (ANU) and industry partners EOS Space Systems and Lockheed Martin are part of the Space Environment Research Centre (SERC), an Australian-Government funded cooperative research centre headquartered in Canberra, Australia. SERC aims to mitigate the threat of collisions with space debris using a ground-based high power (10-20kW) infrared (IR) laser to modify the debris orbit should a collision be predicted. To that end, the ANU has equipped the EOS 1.8m laser tracking station telescope on the ANU Mount Stromlo campus with a state-of-the-art Laser Guide Star Adaptive Optics (LGS AO) system to pre-compensate the IR laser prior to propagation through earth's atmosphere. The ANU LGS AO system is currently being integrated with the EOS telescope and the high-power IR laser. This paper provides a brief overview of the LGS AO system and focus more specifically on the design, integration and commissioning of the first LGS facility ever constructed in Australia. The LGS Facility includes two sodium guide star laser sources which can be either propagated separately or combined so as to produce a brighter reference star to maximise adaptive optics correction. The two lasers, their beam combining optics, their common beam transfer optics, and the laser launch telescope are hereby described.

Predictors of the Quality of Life of Informal Carers of Adults on the Autism Spectrum.

Carers of adults on the autism spectrum often experience high levels of stress, worry, and caregiver burden. There are few studies identifying the predictors of carer mental well-being and none have been conducted in Australia. Data from the Autism Cooperative Research Centre for Living with Autism's Australian Longitudinal Study of Autism in Adulthood was used to test the conceptual model by Sonido et al. (Rev J Autism Dev Disord, 2019, https://doi.org/10.1007/s40489-019-00177-8 ) by (a) identifying the predictors of mental well-being for carers of adults on the spectrum, (b) using model selection to determine which predictors contribute to the model of best fit, and (c) testing for mediating relationships between the predictors. Several predictors were directly associated with carer psychological quality of life, including carer age, care recipient intellectual disability, and carer intolerance of uncertainty. Model selection strongly supported the inclusion of most clusters from the conceptual model. Some mediating relationships were found, such as care recipient depressive behaviours mediating the relationships between caregiver burden and psychological quality of life. Future studies of the conceptual model will improve understanding of the predictors of carer mental well-being and enable tailored interventions to improve the psychological health of carers of adults on the autism spectrum.

Pathways to Commercialisation for Brown Coal Fly Ash-Based Geopolymer Concrete in Australia

Utilising geopolymer as a construction material has gained institutional and commercial interest over the past decade, due to its favourable emissions profile as an alternative to carbon-intensive Ordinary Portland Cement-based concrete, which currently accounts for around 7% of global carbon emissions. While significant research has been performed into the material properties of geopolymer, the commercialisation of the technology is still in its infancy, and several key barriers require rectification to facilitate more widespread adoption. This article analyses the current state of geopolymer commercialisation, paying particular attention to its commercial application in Australia, and it suggests key research areas, in particular relating to the utilisation of abundant and cheap low-quality fly ash sources such as brown coal-based fly ash, to promote its adoption and build on the momentum gained from the small scale in situ pours of geopolymer concrete. Our analysis indicated that in addition to the barriers relating to material properties, economic, social, and regulatory issues also require further inquiry. Our review also indicated that it is critical to update and improve economic analysis of geopolymer utilisation to forecast future costs of both geopolymer and concrete mixes, which are especially critical in determining any potential financial incentives for the construction industry. Moreover, it is essential to study the social attitudes affecting future geopolymer consumption and to update the regulatory standards governing geopolymer utilisation in Australia, such as the initial steps undertaken by the Low Carbon Living Cooperative Research Centre. Based on this review, it is suggested that solving these key issues would help proliferate geopolymer technology and further aid efforts to create a more environmentally sustainable construction industry.

Mindfulness-Based Online Intervention to Improve Quality of Life in Late-Stage Bipolar Disorder a Randomised Clinical Trial

Background: Adjunctive psychological interventions improve outcomes in bipolar disorder (BD), but people in latter, more refractory illness stages likely have different clinical needs. The objective here was to test the hypothesis that for people with >‾ 10 episodes of BD, an online mindfulness-based intervention improves quality of life (QoL) relative to a quality-matched psychoeducation control. Methods: A rater-blind, pragmatic superiority randomised clinical trial compared Mindfulness with active control (Psychoeducation). Both interventions were 5-week coach-supported self-management programs with treatment as usual continued. Key inclusion criteria were age 18 to 65 years, confirmed diagnosis of BD, and history of >‾ 10 episodes. Measures were collected at baseline, immediate post-intervention, and 3- and 6- month follow-ups. Main outcome was QoL, measured on the self-report Brief Quality of Life in Bipolar Disorder (Brief QoL.BD) at 5 weeks, using intention-to-treat analyses. The study setting was online, and randomisation was automated into the platform. The trial was prospectively registered on 23 June 2017 through ClinicalTrials.gov (http://www.clinicaltrials.gov, NCT03197974). Findings: Recruitment commenced 19 th September 2017, randomisation target reached 28 th November 2018 (N = 302 randomised) and follow-up data collection completed 6 th July 2019. The primary hypothesis of significant improvement in QoL with Mindfulness relative to Psychoeducation was not supported (Treatment X Time β = -0.69, 95% CI: -2·69, 1·31, p = 0·50). Recruitment was feasible, the platform was safe, both interventions were highly acceptable, but usage was suboptimal. Post hoc analyses found both interventions effective for participants not in remission from depression at baseline. Interpretation: In people with latter-stage BD, an online Mindfulness intervention was not superior to Psychoeducation. More effective future variants could combine mindfulness with psychoeducation content, improve engagement via personalised tailoring of QoL goals, and target more symptomatic individuals. Trial Registration: The trial was prospectively registered on 23 June 2017 through ClinicalTrials.gov (http://www.clinicaltrials.gov, NCT03197974). Funding: Supported by Australian National Health and Medical Research Council (NHMRC; APP1102097). Declaration of Interest: GM has received Grant/Research support from National Health and Medical Research Council (NHMRC), BeyondBlue Barbara Dicker Foundation, Readiness P/L, SiSU Wellness P/L – unrelated to this work, with the exception of the NHMRC funding for the project described here. MB has received Grant/Research Support from the NIH, Cooperative Research Centre, Simons Autism Foundation, Cancer Council of Victoria, Stanley Medical Research Foundation, Medical Benefits Fund, National Health and Medical Research Council, Medical Research Futures Fund, Beyond Blue, Rotary Health, A2 milk company, Meat and Livestock Board, Woolworths, Avant and the Harry Windsor Foundation, has been a speaker for Abbot, Astra Zeneca, Janssen and Janssen, Lundbeck and Merck and served as a consultant to Allergan, Astra Zeneca, Bioadvantex, Bionomics, Collaborative Medicinal Development, Janssen and Janssen, Lundbeck Merck, Pfizer and Servier – all unrelated to this work. NT has received Grant/Research Support from the Australian Government Department of Health, Australian Government Department of Veterans Affairs, Barbara Dicker Brain Sciences Foundation, NHMRC, Mental Health Commission, VicHealth and Victorian State Government Department of Health and Human Services, all unrelated to this work. LB has received Grant/Research Support from the NIH, Australasian Society for Bipolar & Depressive Disorders Ltd, GMHBA, National Health and Medical Research Council, and Servier – all unrelated to this work. SJ has received Grant/Research support from NIHR HTA, EME, RfPB and PGfAR streams all unrelated to this work. Ethical Approval: Swinburne University of Technology Human Research Ethics Committee approved the online trial (2016/289) with international recruitment.

Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank

BackgroundAutism spectrum disorder (ASD) is a complex neurodevelopmental condition whose biological basis is yet to be elucidated. The Australian Autism Biobank (AAB) is an initiative of the Cooperative Research Centre for Living with Autism (Autism CRC) to establish an Australian resource of biospecimens, phenotypes and genomic data for research on autism.MethodsGenome-wide single-nucleotide polymorphism genotypes were available for 2,477 individuals (after quality control) from 546 families (436 complete), including 886 participants aged 2 to 17 years with diagnosed (n = 871) or suspected (n = 15) ASD, 218 siblings without ASD, 1,256 parents, and 117 unrelated children without an ASD diagnosis. The genetic data were used to confirm familial relationships and assign ancestry, which was majority European (n = 1,964 European individuals). We generated polygenic scores (PGS) for ASD, IQ, chronotype and height in the subset of Europeans, and in 3,490 unrelated ancestry-matched participants from the UK Biobank. We tested for group differences for each PGS, and performed prediction analyses for related phenotypes in the AAB. We called copy-number variants (CNVs) in all participants, and intersected these with high-confidence ASD- and intellectual disability (ID)-associated CNVs and genes from the public domain.ResultsThe ASD (p = 6.1e−13), sibling (p = 4.9e−3) and unrelated (p = 3.0e−3) groups had significantly higher ASD PGS than UK Biobank controls, whereas this was not the case for height—a control trait. The IQ PGS was a significant predictor of measured IQ in undiagnosed children (r = 0.24, p = 2.1e−3) and parents (r = 0.17, p = 8.0e−7; 4.0% of variance), but not the ASD group. Chronotype PGS predicted sleep disturbances within the ASD group (r = 0.13, p = 1.9e−3; 1.3% of variance). In the CNV analysis, we identified 13 individuals with CNVs overlapping ASD/ID-associated CNVs, and 12 with CNVs overlapping ASD/ID/developmental delay-associated genes identified on the basis of de novo variants.LimitationsThis dataset is modest in size, and the publicly-available genome-wide-association-study (GWAS) summary statistics used to calculate PGS for ASD and other traits are relatively underpowered.ConclusionsWe report on common genetic variation and rare CNVs within the AAB. Prediction analyses using currently available GWAS summary statistics are largely consistent with expected relationships based on published studies. As the size of publicly-available GWAS summary statistics grows, the phenotypic depth of the AAB dataset will provide many opportunities for analyses of autism profiles and co-occurring conditions, including when integrated with other omics datasets generated from AAB biospecimens (blood, urine, stool, hair).

COVID-19, Social Isolation and the Mental Health of Autistic People and Their Families: A Qualitative Study

Background: The COVID-19 pandemic and the policy responses to it have had a detrimental effect on the mental health of millions of people but have impacted differently on different groups. This is the first in-depth investigation of the impact on autistic people and their families. Specifically, we addressed: How did autistic people experience the increase in social isolation as a result of measures put in place by government during the initial lockdown period? And how was their mental health impacted by lockdown?Methods: Autistic and non-autistic researchers conducted 144 in-depth semi-structured interviews with autistic adults (n=44), parents of autistic children including autistic parents (n=84), and young autistic people aged 12 – 18 years (n=16). We deployed reflexive thematic analysis to identify key themes.Findings: The enhanced social isolation that has accompanied COVID-19 had a serious and detrimental impact on autistic people’s mental health and subjective sense of wellbeing. During the interviews, young autistic people and adults alike spoke of intensely missing both friends and more incidental forms of social connection. They also reported intense dissatisfaction with the substitution of embodied, person-to-person connection in health services by computer or telephone-based alternatives, sometimes accompanied by serious negative consequences for mental health. Interpretation: These findings reveal the fundamental importance of supporting autistic people to maintain both direct and incidental social contact during the pandemic and beyond, in contrast both to established scientific accounts of autism and standard clinical and policy practice.Funding Statement: This project has been funded through an Australian Research Council Future Fellowship, awarded to EP (FT190100077).Declaration of Interests: EP receives occasional fees for workshops and invited addresses, and grants from the Medical Research Future Fund, the Cooperative Research Centre for Living with Autism ('Autism CRC'), Australia’s National Health and Medical Research Council, Positive Partnerships (Australia), and the European Commission. JDH reports grants from the Cooperative Research Centre for Living with Autism, during the conduct of the study. MH reports grants from Department of Social Securities, Australian Government, and the National Disability Insurance Agency. All other authors declare no competing interests.Ethics Approval Statement: Ethical approval for this study was received from the Human Research Ethics Committee at Macquarie University (Project ID 6665). All participants, including young people, provided written informed consent prior to taking part; parents provided additional consent for young people.

Changes in Medicaid Enrollment During the COVID-19 Pandemic Across Six States

Background: The COVID-19 public health emergency (PHE) has caused extensive job loss and loss of employer-sponsored insurance. State Medicaid programs have experienced a related increase in enrollment during the PHE. However, the composition of enrollment and enrollee changes during the pandemic is unknown. Understanding changes in the Medicaid population during the PHE may inform policy development and identify strategies to meet the rising needs for insurance coverage during public health emergencies. This study aims to examine changes in Medicaid enrollment and population characteristics during the PHE.Methods: A retrospective descriptive study documenting changes in Medicaid new enrollment and disenrollment, and enrollee characteristics between March and October 2020 compared to the same time period in 2019 using Full-state Medicaid populations from six states of a wide geographical region. The primary outcomes were medicaid enrollment and disenrollment during the PHE. New enrollment included persons enrolled in Medicaid between March and October 2020 who were not enrolled in January or February of 2020. Disenrollment included persons who were enrolled in March of 2020 but not enrolled in October 2020.Results: The study included 8.50 million Medicaid enrollees in 2020 and 8.46 million in 2019. Overall, enrollment increased by 13.0% during the PHE compared to 2019, relative enrollment growth of 1.19 million. New enrollment accounted for 24.9% of the relative increase, while the remaining 75.1% was due to disenrollment. A larger proportion of new enrollment in 2020 was among adults aged 27-44 (28.3% vs 23.6%), Hispanics (34.3% vs 32.5%) and in the financial needy (44.0% vs 39.0%) category compared to 2019. Disenrollment included a larger proportion of older adults (26.1% vs 8.1%) and non-Hispanics (70.3% vs 66.4%) than in 2019.Conclusions and Relevance: Medicaid enrollment grew considerably during the PHE, and the majority of enrollment growth was attributed to decreases in disenrollment rather than increases in new enrollment. Our results highlight the impact of COVID-19 on state health programs and can guide federal and state budgetary planning.Funding: This study was supported from the Digital Health CRC (Cooperative Research Centre). The DHCRC is established and supported under the Australian Government’s Cooperative Research Centres Program. Funding for Antonia Chan was provided by the Stanford Medical Scholars Fellowship Program.Declaration of Interest: None to declare.