Family member and service provider experiences and perspectives of a digital surveillance and service navigation approach: A qualitative study with a culturally diverse community (preprint)

Background Children and families from priority populations experienced significant psychosocial and mental health issues to the COVID-19 pandemic. Yet they also faced significant barriers to service access, particularly families from culturally and linguistically diverse (CALD) backgrounds. With most child and family health nurse clinics ceasing in-person consultations due to the pandemic, many children missed out on health and developmental checks. The aim of this study was to investigate the perspectives and experiences of family members and service providers from an urban, CALD community regarding the implementation of a digital, developmental surveillance, Watch Me Grow-Electronic (WMG-E) program.Methods Semi-structured interviews were conducted with 17 family members, service navigators, and service providers in a multicultural community in South Western Sydney, Australia. This qualitative study formed part of a larger, two-site, randomised controlled trial of the WMG-E program. A reflexive thematic analysis approach was adopted to analyse the data.Results Participants highlighted the comprehensive and personalised support offered by existing child and family health services. The WMG-E was deemed beneficial because the weblink was easy and quick to use and it enabled access to a service navigator who support family access to relevant services. However, the WMG-E was problematic because of technology or language barriers, and it did not facilitate immediate clinician involvement when families completed the weblink.Conclusions Families and service providers found that using WMG-E empowered parents and caregivers to access developmental screening and learn more about their child’s development and engage with relevant services. This beds down a new and innovative solution to the current service delivery gap and create mechanisms that can engage families currently not accessing services, and develops and increases knowledge around navigating the health and social care services.Trial registration: The study is part of a large randomised controlled trial (Protocol No. 1.0, Version 3.1) was registered with ANZCTR (registration number: ACTRN12621000766819) on July 21st, 2021 and reporting of the trial results will be according to recommendations in the CONSORT Statement.

Parent and Service Provider Perspectives of a Digital Developmental Surveillance and Service Navigation Program, Watch Me Grow Electronic (WMG-E), in Rural and Regional Australia: A Qualitative Study (preprint)

Background Encouraging healthy childhood development and aiding the early identification of developmental difficulties are crucial to providing the best possible outcomes. Young children in rural areas are at a higher risk of missing timely developmental screening than their non-rural counterparts. This study examined the feasibility and acceptability of a digital developmental surveillance program with a service navigator, Watch Me Grow-Electronic (WMG-E), trialled in rural Australia via a randomised controlled trial (RCT).Methods Ten parents who participated in the RCT and six service providers were interviewed. All parents completed the WMG-E weblink questionnaire on their digital devices. Five parents in the intervention group received ongoing support from a service navigator after completing the questionnaire. Transcripts were analysed via reflexive thematic analysis.Results The study revealed barriers and enablers of both the existing Child and Family Health Services (CFHS) and the WMG-E program comprising of a weblink and service navigation. Enablers of the CFHS included the flexible service options and comprehensive support model, while also acknowledging the resource barriers and service capacity limitations during the COVID-19 pandemic. Enablers of WMG-E weblink included its valuable feedback on child development, digital accessibility benefits, and user-friendly interface. Barriers of the WMG-E weblink included limited clinician oversight during survey completion, and technological barriers related to the digital format. Enablers of the WMG-E service navigation included the ability to address service gaps by connecting families to local services, provide support during waitlist periods, and alleviate the strain on understaffed remote healthcare facilities.Conclusions Access to digital support was perceived as particularly valuable during the COVID-19 pandemic when services were closed. The WMG-E program offers a promising avenue to improve the accessibility and uptake of developmental screening services in rural Australia when functioning in harmony with existing care providers.Trial registration: The study is part of a large randomised controlled trial (Protocol No. 1.0, Version 3.1) was registered with ANZCTR (registration number: ACTRN12621000766819) on July 21st, 2021 and reporting of the trial results will be according to recommendations in the CONSORT Statement.

The Explanatory Models for Anxiety among Pregnant Women Infected with COVID-19 in China: A Thematic Analysis of 336 Postings from Infected Individuals (preprint)

Background: Infection with COVID-19 aggravates the anxiety of pregnant women. Our study aimed to establish explanatory models to investigate the causes of anxiety in pregnant women infected with COVID-19. Methods: To achieve this, we captured 336 postings of infected pregnant women on Sina Weibo from 7 November 17, 2022, to January 16, 2023, during which the number of infected people continued to rise after China lifted control of the epidemic. We used Python to filter the postings and NVivo12 for thematic analysis. Results: Our analysis revealed four central themes and thirteen sub-themes: Theme 1: Neglecting Maternity Care, including Discomfort Without Special Treatment, Special Care Absence, and Exploitation of Healthcare Resources; Theme 2: High-risk Pregnancy Process, including Collapse of Safe Space, Risk of Mother-to-Child Transmission, Unknown Drug Risk Impact, and Emergence of Childbirth Risk; Theme 3: The Pressure of Motherhood Expectations, including Motherhood Negligence and Lost Opportunities to Become Mothers; Theme 4: Insufficient Social Support, including Delayed Policy Support, Lack of Instrumental Support, Negative Informational Support, and Weak Inter-individual Support. Conclusions: For pregnant women with COVID-19, it is crucial to have mental health interventions, eHealth programs, social media content moderation, and flexible hospital policies.

Chinese University Students’ Experience of WeChat-Based English-Language Vocabulary Learning

The outbreak of COVID-19 worldwide in 2020 has posed tremendous challenges to higher education globally. Teaching English as a foreign language (TEFL) is among the many areas affected by the pandemic. The unexpected transition to online teaching has increased challenges for improving and/or retaining students’ language proficiency. WeChat, a popular social application in China, was widely used for TEFL at Chinese universities before COVID-19. However, it remains unclear whether the use of WeChat can facilitate Chinese university students’ English-language lexical proficiency during the pandemic. To fill this gap, the aim of the present study was two-fold: (1) it initially explored the relationship between the variables including students’ academic years, genders, and academic faculties/disciplines, and their lexical proficiency;and (2) it evaluated the effectiveness of a WeChat-assisted lexical learning (WALL) program in facilitating learning outcomes of English-language vocabulary. One hundred and thirty-three students at a university in Northern China participated in the WALL program for three weeks. As the results indicated, the independent variables had no correlation with the students’ lexical proficiency. More importantly, the students had a decline in the test scores after using the program, compared to their initial test scores. Moreover, the difference was reported to be medium. The findings further proposed questions on applying WeChat to vocabulary teaching in a large-scaled transition. The study is expected to provide insights for tertiary institutions, language practitioners, and student stakeholders to troubleshoot the potential problems regarding implementing WeChat-based TEFL pedagogies.

The effects of regularisation on RNN models for time series forecasting: Covid-19 as an example (preprint)

Many research papers that propose models to predict the course of the COVID-19 pandemic either use handcrafted statistical models or large neural networks. Even though large neural networks are more powerful than simpler statistical models, they are especially hard to train on small datasets. This paper not only presents a model with grater flexibility than the other proposed neural networks, but also presents a model that is effective on smaller datasets. To improve performance on small data, six regularisation methods were tested. The results show that the GRU combined with 20% Dropout achieved the lowest RMSE scores. The main finding was that models with less access to data relied more on the regulariser. Applying Dropout to a GRU model trained on only 28 days of data reduced the RMSE by 23%.

Triboelectrification induced self-powered microbial disinfection using nanowire-enhanced localized electric field (preprint)

Air-transmitted pathogens may lead to severe epidemics (e.g., COVID-19) showing huge threats to public health. Inactivation of the pathogenic microbes in the air is an essential process, whereas the feasibility of existing air disinfection technologies has encountered obstacles including only achieving physical separation but no inactivation, obvious pressure drops, and energy intensiveness. Here we report a rapid disinfection method for inactivating air-transmitted bacteria and viruses using the nanowire-enhanced localized electric field to damage the outer structures of microbes. This air disinfection system is driven by a triboelectric nanogenerator that converts mechanical vibration to electricity effectively and achieves self-powered. Assisted by a rational design for the accelerated charging and trapping of microbes, this self-powered air disinfection system promotes the microbial transport and achieves high performance: >99.99% microbial inactivation within 0.025s in a fast airflow (2 m/s) while only causing low pressure drops (<24 Pa). This rapid, self-powered air disinfection method may fill the urgent need for the air-transmitted microbial inactivation to protect public health.