The field of public health informatics has undergone significant evolution in recent years, and advancements in technology and its applications are imperative to address emerging public health challenges. Interdisciplinary approaches and training can assist with these challenges. In 2023, the inaugural Public Health Informatics and Technology (PHIAT) Conference was established as a hybrid 3-day conference at the University of California, San Diego, and online. The conference\'s goal was to establish a forum for academics and public health organizations to discuss and tackle new opportunities and challenges in public health informatics and technology. This paper provides an overview of the quest for interest, speakers and topics, evaluations from the attendees, and lessons learned to be implemented in future conferences.

Public health workers (PHWs) have experienced substantial workload changes because of their role in managing measures to limit the spread of COVID-19. The study\'s aim was to assess lifestyle changes in Italian PHWs during the pandemic. PHWs attending an annual meeting completed an anonymous questionnaire assessing their sociodemographic and behavioral characteristics and lifestyle changes during the pandemic. A total of 1000 questionnaires were completed. Most participants (63.5% women, mean age 40 ± 13.1 years) were of normal weight (61.5%), non-smokers (81.9%), had a total screen time of ≥5 h/day (83.1%), and slept at least 6 h/night (88.7%). Approximately one-third consumed sweet foods every day (30%) and did not engage in physical activity (34.6%). Current sweet food consumption, physical activity, and sleep were associated with changes in these behaviors in the last 2 years (Tau-b = 0.155; Tau-b = -0.175; Tau-b = -0.276, respectively, p < 0.001). An increase in remote working was associated with worse sleep (odds ratio (OR) 2.065, 95% confidence interval (CI) 1.482-2.877) and diet (OR 1.982, 95% CI 1.385-2.838), and increased tablet/PC use (OR 3.314, 95% CI 2.358-4.656). Health promotion measures are needed to support the adoption of healthy lifestyles in this population during the current pandemic.

BACKGROUND: Poor mental health status and associated risk factors of public health workers have been overlooked during the COVID-19 pandemic. This study used the effort-reward imbalance model to investigate the association between work-stress characteristics (effort, over-commitment, reward) and mental health problems (anxiety and depression) among front-line public health workers during the COVID-19 pandemic in China.
METHODS: A total of 4850 valid online questionnaires were collected through a self- constructed sociodemographic questionnaire, the adapted ERI questionnaire, the 9-item Patient Health Questionnaire (PHQ-9) and the 7-item General Anxiety Disorder Scale (GAD-7). Hierarchical logistic regression analysis was conducted to investigate the association between ERI factors and mental health problems (i.e., depression and anxiety), with reward treated as a potential moderator in such associations.
RESULTS: The data showed that effort and over-commitment were positively associated with depression and anxiety, while reward was negatively associated with depression and anxiety. Development and job acceptance were the two dimensions of reward buffered the harmful effect of effort/over-commitment on depression and anxiety, whereas esteem was non-significant.
CONCLUSIONS: This study confirmed the harmful effects of effort and over-commitment on mental health among public health workers during the COVID-19 pandemic in China. Such effects could be alleviated through an appropriate reward system, especially the development and job acceptance dimensions of such a system. These findings highlight the importance of establishing an emergency reward system, comprising reasonable work-allocation mechanism, bonuses and honorary titles, a continuous education system and better career-development opportunities.

BACKGROUND: Non-communicable diseases (NCDs) are increasing worldwide. A lack of training and experience in NCDs among public health workers is evident in low- and middle- income countries.
METHODS: We describe the design and outcomes of applied training in NCD epidemiology and control piloted in Tanzania that included a 2-week interactive course and a 6-month NCD field project. Trainees (n=14 initiated; n=13 completed) were epidemiology-trained Ministry of Health or hospital staff. We evaluated the training using Kirkpatrick\'s evaluation model for measuring reactions, learning, behavior and results using pre- and post-tests and closed-ended and open-ended questions.
RESULTS: Significant improvements in knowledge and self-reported competencies were observed. Trainees reported applying competencies at work and supervisors reported improvements in trainees\' performance. Six field projects were completed; one led to staffing changes and education materials for patients with diabetes and another to the initiation of an injury surveillance system. Workplace support and mentoring were factors that facilitated the completion of projects. Follow-up of participants was difficult, limiting our evaluation of the training\'s outcomes.
CONCLUSIONS: The applied NCD epidemiology and control training piloted in Tanzania was well received and showed improvements in knowledge, skill and self-efficacy and changes in workplace behavior and institutional and organizational changes. Further evaluations are needed to better understand the impact of similar NCD trainings and future trainers should ensure that trainees have mentoring and workplace support prior to participating in an applied NCD training.