The Surviral Epidemiological Early Warning System Tyrol Dashboard - System, Functionality and Findings.

BACKGROUND: Dashboards provide a good retrospective view of the development of the disease. Yet, current COVID-related dashboards typically lack the capability to predict future trends. However, this is important for health policy makers and health care providers in order to adopt meaningful containment strategies. OBJECTIVES: The aim of this paper is to present the Surviral dashboard, which allows the effective monitoring of infectious disease dynamics. METHODS: The presented dashboard comprises a wide range of information, including retrospective and prognostic data based on an agent-based simulation framework. It served as the basis for informed decision-making and planning of disease control strategies within the federal state of Tyrol. RESULTS: By visualizing the information in an understandable format, the dashboard provided a comprehensive overview of the COVID-19 situation in Tyrol and allowed for the identification of trends and patterns. CONCLUSION: The presented dashboard is a valuable tool for managing pandemics such as COVID-19. It provides a convenient and efficient way to monitor the spread of a disease and identify potential areas for intervention.

Telemedicine Research from Big Bang to 2022.

The Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics systematically screens about 2,500 publications from more than 1,000 journals annually to find the best CIS publications. The editors of the CIS section have noticed a trend toward patient-centered care supported by AI and machine learning and increased research in cross-institutional data sharing, particularly in telemedicine. As a result, they adjusted their search query to include the MeSH term "telemedicine." As a preliminary step and to get a sense of the historical development of telemedicine research activity, they performed a bibliometric analysis of all previously published papers in PubMed indexed with the tag "Telemedicine" as MeSH Major Topic. They retrieved 29,289 publications from 1976 to 2022 and used their titles and abstracts to create a bibliometric network that visualizes the most relevant terms, their frequency and relationship to each other, and the chronological sequence of their publication. The development over time also shows a clear move toward patient-centeredness. Interestingly, the term "Covid," which has only recently come into use, takes on a central role in the network.

Perinatal and postpartum care during the COVID-19 pandemic: A nationwide cohort study.

BACKGROUND: This study aimed to analyze perinatal outcomes and adverse events during the COVID-19 pandemic's first wave to help direct decision making in future waves. METHODS: This study was an epidemiological cohort study analyzing comprehensive birth registry data among all 80 obstetric departments in Austria. Out of 469 771 records, 468 348 were considered eligible, whereof those with preterm delivery, birthweight <500 g, multiple fetuses, fetal malformations and chromosomal anomalies, intrauterine fetal death, maternal cancer, HIV infection, and/or inter-hospital transfers were excluded. Women who delivered between January and June 2020 were then classified as cases, whereas those who delivered between January and June 2015-2019 were classified as controls. Perinatal outcomes, postpartum hospitalization, and adverse events served as outcome measures. RESULTS: Of 33 198 cases and 188 225 controls, data analysis showed significantly increased rates of labor induction, instrumental delivery, obstetric anesthesia, NICU transfer, and 5-min Apgar score below 7 during the COVID-19 period. There was a significantly shorter length of postpartum hospitalization during the COVID-19 period compared with the non-COVID-19 period (3.1 ± 1.4 vs 3.5 ± 1.5 days; P < .001). Significantly more women opted for short-stay delivery during the COVID-19 period (3.7% vs 2.4%; P < .001). Those who delivered during the COVID-19 period were also more likely to experience postpartum adverse events (3.0% vs 2.6%; P < .001), which was confirmed in the logistic regression model (odds ratio, 2.137; 95% confidence interval, 1.805-2.530; P < .001). CONCLUSIONS: Perinatal and postpartum care during the first wave of the COVID-19 pandemic differed significantly from that provided before. Increased rates of adverse events underline the need to ensure access to high-quality obstetric care to prevent collateral damage.