Using internet search queries for infectious disease surveillance: screening diseases for suitability

Background Internet-based surveillance systems provide a novel approach to monitoring infectious diseases. Surveillance systems built on internet data are economically, logistically and epidemiologically appealing and have shown significant promise. The potential for these systems has increased with increased internet availability and shifts in health-related information seeking behaviour. This approach to monitoring infectious diseases has, however, only been applied to single or small groups of select diseases. This study aims to systematically investigate the potential for developing surveillance and early warning systems using internet search data, for a wide range of infectious diseases. Methods Official notifications for 64 infectious diseases in Australia were downloaded and correlated with frequencies for 164 internet search terms for the period 2009–13 using Spearman’s rank correlations. Time series cross correlations were performed to assess the potential for search terms to be used in construction of early warning systems. Results Notifications for 17 infectious diseases (26.6%) were found to be significantly correlated with a selected search term. The use of internet metrics as a means of surveillance has not previously been described for 12 (70.6%) of these diseases. The majority of diseases identified were vaccine-preventable, vector-borne or sexually transmissible; cross correlations, however, indicated that vector-borne and vaccine preventable diseases are best suited for development of early warning systems. Conclusions The findings of this study suggest that internet-based surveillance systems have broader applicability to monitoring infectious diseases than has previously been recognised. Furthermore, internet-based surveillance systems have a potential role in forecasting emerging infectious disease events, especially for vaccine-preventable and vector-borne diseases

Machine learning approaches to analysing textual injury surveillance data: A systematic review

Objective To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data. Design Systematic review. Data sources The electronic databases which were searched included PubMed, Cinahl, Medline, Google Scholar, and Proquest. The bibliography of all relevant articles was examined and associated articles were identified using a snowballing technique. Selection criteria For inclusion, articles were required to meet the following criteria: (a) used a health-related database, (b) focused on injury-related cases, AND used machine learning approaches to analyse textual data. Methods The papers identified through the search were screened resulting in 16 papers selected for review. Articles were reviewed to describe the databases and methodology used, the strength and limitations of different techniques, and quality assurance approaches used. Due to heterogeneity between studies meta-analysis was not performed. Results Occupational injuries were the focus of half of the machine learning studies and the most common methods described were Bayesian probability or Bayesian network based methods to either predict injury categories or extract common injury scenarios. Models were evaluated through either comparison with gold standard data or content expert evaluation or statistical measures of quality. Machine learning was found to provide high precision and accuracy when predicting a small number of categories, was valuable for visualisation of injury patterns and prediction of future outcomes. However, difficulties related to generalizability, source data quality, complexity of models and integration of content and technical knowledge were discussed. Conclusions The use of narrative text for injury surveillance has grown in popularity, complexity and quality over recent years. With advances in data mining techniques, increased capacity for analysis of large databases, and involvement of computer scientists in the injury prevention field, along with more comprehensive use and description of quality assurance methods in text mining approaches, it is likely that we will see a continued growth and advancement in knowledge of text mining in the injury field.

Geographical information systems for dengue surveillance

This review provides details on the role of Geographical Information Systems (GIS) in current dengue surveillance systems and focuses on the application of open access GIS technology to emphasize its importance in developing countries, where the dengue burden is greatest. It also advocates for increased international collaboration in transboundary disease surveillance to confront the emerging global challenge of dengue.

Developing an epidemic forecasting model for Influenza A in Brisbane, Australia, based on climate and Hong Kong Influenza A surveillance data

Influenza is associated with substantial disease burden [ 1]. Development of a climate-based early warning system for in fluenza epidemics has been recommended given the signi fi - cant association between climate variability and influenza activity [2]. Brisbane is a subtropical city in Australia and offers free in fluenza vaccines to residents aged ≥65 years considering their high risks in developing life-threatening complications, especially for in fluenza A predominant seasons. Hong Kong is an international subtropical city in Eastern Asia and plays a crucial role in global infectious diseases transmission dynamics via the international air transportation network [3, 4]. We hypothesized that Hong Kong in fluenza surveillance data could provide a signal for in fluenza epidemics in Brisbane [ 4]. This study aims to develop an epidemic forecasting model for influenza A in Brisbane elders, by combining climate variability and Hong Kong in fluenza A surveillance data. Weekly numbers of laboratoryconfirmed influenza A positive isolates for people aged ≥65 years from 2004 to 2009 were obtained for Brisbane from Queensland Health, Australia, and for Hong Kong from Queen Mary Hospital (QMH). QMH is the largest public hospital located in Hong Kong Island, and in fluenza surveillance data from this hospital have been demonstrated to be representative for influenza circulation in the entirety of Hong Kong [ 5]. The Brisbane in fluenza A epidemics occurred during July –September, whereas the Hong Kong in fluenza A epidemics occurred during February –March and May –August.

Action or inaction: bystander intervention in workplace sexual harassment

A promising approach to the persistent problem of workplace sexual harassment (SH) is encouraging interventions by bystanders. Adopting a typology developed by Bowes-Sperry and O'Leary-Kelly that considers the level of immediacy and involvement of bystander interventions, this study explored 74 detailed descriptions of SH events that occurred in Australian workplaces. The findings reveal that despite the hidden nature of SH, there is significant involvement of actors who are not direct targets but their actions are frequently delayed, temporary or ineffective. The study makes two contributions to the study and practice of HRM. First, it provides important evidence of the different ways that bystanders respond to SH in real workplaces and the relative likelihood of these actions. Second, the study points to relevant contextual features evident in the scenarios described which determine if and how bystanders intervene. We discuss the utility of the bystander framework for future research and practice, including the development of bystander interventions as a potentially innovative response to the persistent and damaging problem of workplace SH.

Implementation of workplace learning in the accountancy schools of Australian universities

This exploratory study seeks to further our understanding of Work-Integrated Learning (WIL) programs in the Accountancy schools of Australian universities. It emphasises the significance of the role of the university in monitoring and administrating these programs. The study uses a qualitative method with mainly open-ended questions via an online questionnaire. The responses from senior accounting academic decision-makers identified the major forms of WIL used and the most challenging issues. WIL is perceived to be an important program that should be included in degree courses, and strong efforts should be made to overcome the challenges involved in conducting such a program.

Workplace sexual harassment at the margins

Men are overwhelmingly responsible for sexual harassment against women in the workplace. However, the literature also points to less typical manifestations, including sexual harassment by men of other men and by women of men or other women. This article examines these atypical forms of sexual harassment, drawing on a census of all formal sexual harassment complaints lodged with Australian equal opportunity commissions over a six-month period. The analysis reveals some important distinctions and similarities across groups of atypical complaints, as well as between atypical groups and ‘classic’ sexual harassment complaints where men harass women. The article contributes to the relatively undeveloped literature on these less visible forms of sexual harassment and highlights both theoretical and pragmatic challenges in better understanding workplace sexual harassment ‘at the margins’.

Corresponding geographies: Remapping work and workplace in the age of digital media

This essay makes three related claims about digital media creative clusters through a case study of the Hub in Glasgow, Scotland. First, online social networking platforms are an increasingly “common sense” feature that property developers include to attract media workers to purpose-built properties. Second, integrating and managing professional identities through the construction of place are considered necessary to promote that place to a larger audience. Finally, reorganizing place in this way refashions creative work as a more nebulous concept, a process that integrates formerly distinct aspects of our work and nonwork lives into the common pursuit of innovation for economic gain.

A workplace-based Participatory Action Research project to investigate the effectiveness of nutrition and physical activity interventions for truck drivers in six Queensland transport industry workplaces: 2012-2015

The Queensland Transport Industry Workplace Health Intervention project was a Participatory Action Research (PAR) project to investigate the effectiveness of workplace-based nutrition and physical activity health promotion interventions for truck drivers in transport industry workplaces in south-east Queensland. The project was conducted by a research team at the Queensland University of Technology (QUT), and was funded by the Queensland Government under the Healthier.Happier.Workplaces initiative.

[await full-text]Evaluation of QAS Workplace Health and Safety Action Plan

This report identifies the outcomes of a program evaluation of the five year Workplace Health and Safety Strategy (2012-2017), specifically, the engagement component within the Queensland Ambulance Service. As part of the former Department of Community Safety, their objective was to work towards harmonising the occupational health and safety policies and process to improve the workplace culture. The report examines and assess the process paths and resource inputs into the strategy, provides feedback on progress to achieving identified goals as well as identify opportunities for improvements and barriers to progress. Consultations were held with key stakeholders within QAS and focus groups were facilitated with managers and health and safety representatives of each Local Area Service Network.

Automatic surveillance in transportation hubs: No Longer just about catching the bad guy

As critical infrastructure such as transportation hubs continue to grow in complexity, greater importance is placed on monitoring these facilities to ensure their secure and efficient operation. In order to achieve these goals, technology continues to evolve in response to the needs of various infrastructure. To date, however, the focus of technology for surveillance has been primarily concerned with security, and little attention has been placed on assisting operations and monitoring performance in real-time. Consequently, solutions have emerged to provide real-time measurements of queues and crowding in spaces, but have been installed as system add-ons (rather than making better use of existing infrastructure), resulting in expensive infrastructure outlay for the owner/operator, and an overload of surveillance systems which in itself creates further complexity. Given many critical infrastructure already have camera networks installed, it is much more desirable to better utilise these networks to address operational monitoring as well as security needs. Recently, a growing number of approaches have been proposed to monitor operational aspects such as pedestrian throughput, crowd size and dwell times. In this paper, we explore how these techniques relate to and complement the more commonly seen security analytics, and demonstrate the value that can be added by operational analytics by demonstrating their performance on airport surveillance data. We explore how multiple analytics and systems can be combined to better leverage the large amount of data that is available, and we discuss the applicability and resulting benefits of the proposed framework for the ongoing operation of airports and airport networks.

Integrating LGBTIQ health personnel in the workplace: A literature review

Aim Lesbian, Gay, Bisexual, Transgender (LGBTIQ) issues have attracted attention in the popular media. The purpose of this study was to explore the workplace acceptance and experiences of LGBTIQ health and medical practitioners. Methods A systematic search of academic databases and reference lists from selected papers were the sources of the data. Inclusion criteria were research papers published in English, which focused on workplace acceptance and experiences of LGBTIQ health personnel. Both authors abstracted data from all eligible papers. Results Thirty-three papers were included in this review. Evidence indicated that LGBTIQ health personnel experienced discrimination from their patients, heterosexual colleagues and within the LGBTIQ community. Positive contribution of LGBTIQ health personnel include improved patient care and role models for LGBTIQ peers. Inclusive policy is required for LGBTIQ health personnel workforce retention. Conclusions There has been improvement in the acceptance and experiences of LGBTIQ health personnel in recent times. An inclusive workplace policy of LGBTIQ embraces and celebrates the value of diversity.

The impact of personality and workplace belongingness on mental health workers’ professional quality of life

Objectives Mental health workers are constantly exposed to their clients’ stories of distress and trauma. While listening to these stories can be emotionally draining, professionals in this field still derive pleasure from their work. This study examined the role of personality and workplace belongingness in predicting compassion satisfaction, secondary traumatic stress, and burnout in mental health professionals. Methods Mental health staff (N = 156) working in a counselling service completed a questionnaire that included measures relating to professional quality of life, the Five-Factor Model of personality, workplace belongingness, as well as questions relating to the participants’ demographic profile, work roles and trauma history. Results The results indicated that, high levels of emotional stability (low neuroticism), extraversion, agreeableness, conscientiousness, and being connected at work, are essential factors that promote the professional quality of life of mental health workers. Specifically, workplace belongingness was the strongest predictor of compassion satisfaction and low levels of burnout, while neuroticism was the strongest predictor of secondary traumatic stress. Conclusions Important implications from this study include: (1) encouraging mental health staff to increase self-awareness of their dispositional characteristics and how their personalities affect their wellbeing at work, and; (2) encouraging management to facilitate practices where mental health workers feel connected, respected, and supported in their organisation.

Prevalence and consequences of negative workplace cyber communications in the Australian public sector

This research studied the prevalence and impact of workplace cyberbullying as perceived by public servants working in government organisations across Australia. Using Social Information Processing theory, this research found employees reported task- and person-related cyberbullying that was associated with increased workplace stress, diminished job satisfaction and performance, and reduced confidence in their organisations' anti-bullying intervention and protection strategies. Furthermore, workplace cyberbullying can create a concealed, online work culture that undermines employee and organisational productivity. These results are significant for employers' duty-of-care obligations, and represent a cogent argument for improved workplace cultures in support to Australia's future organisational and economic performance.

Workplace stress and its impact analysis for strategic stress management in construction projects

Workplace stress has been an increasing concern in the construction industry. Workers are working longer hours and construction managers’ responsibilities are becoming more complex and complicated due to reduced resources and widespread stakeholder involvements. These additional pressures potentially trigger workplace stress and impact on project performance. The purpose of this study is to examine and advance understanding of stress and its impact relationships that support holistic and strategic stress management. 17 key stress sources are identified with their impact relationships on different stress types examined. Based on the research findings, this paper concludes with a Stressor-Stress-Performance relationships map.