Protecting children from iatrogenic harm during COVID19 pandemic

Agent-based modeling and life cycle dynamics of COVID-19-related online collective actions

The outbreak of COVID-19 has greatly threatened global public health and produced social problems, which includes relative online collective actions. Based on the life cycle law, focusing on the life cycle process of COVID-19 online collective actions, we carried out both macro-level analysis (big data mining) and micro-level behaviors (Agent-Based Modeling) on pandemic-related online collective actions. We collected 138 related online events with macro-level big data characteristics, and used Agent-Based Modeling to capture micro-level individual behaviors of netizens. We set two kinds of movable agents, Hots (events) and Netizens (individuals), which behave smartly and autonomously. Based on multiple simulations and parametric traversal, we obtained the optimal parameter solution. Under the optimal solutions, we repeated simulations by ten times, and took the mean values as robust outcomes. Simulation outcomes well match the real big data of life cycle trends, and validity and robustness can be achieved. According to multiple criteria (spans, peaks, ratios, and distributions), the fitness between simulations and real big data has been substantially supported. Therefore, our Agent-Based Modeling well grasps the micro-level mechanisms of real-world individuals (netizens), based on which we can predict individual behaviors of netizens and big data trends of specific online events. Based on our model, it is feasible to model, calculate, and even predict evolutionary dynamics and life cycles trends of online collective actions. It facilitates public administrations and social governance.

Clinical and organizational framework of repurposing pediatric intensive care unit to adult critical care in a resource-limited setting: Lessons from the response of an urban general hospital to the COVID-19 pandemic

PURPOSE

We aim to describe the action plan and clinical results of a COVID-19 unit for adult patient care in units intended for critically ill children, proposing a clinical/administrative framework.

METHODS

We reviewed the preparedness of the PICU team before the surge of cases of COVID-19 and the organizational/administrative issues to increase critical beds in a six-bed PICU allocated to adult critical care in a government-funded general hospital in Latin America. We analyzed the prospectively collected administrative/clinical data of severe COVID-19 cases admitted to PICU during the peak of the first wave of the pandemic.

RESULTS

We describe a 6-step preparedness plan: recruitment and education, admission criteria, children diversion, team hierarchy, and general and respiratory equipment. The 6-bed PICU was allocated to adult care for 20 weeks, progressively increasing capacity to a 23-bed dedicated COVID-19 unit managed by the PICU team. A six-block bed organizational units were implemented, and personnel increased from 40 to 125 healthcare workers in 24 h shifts. COVID-19 incidence in personnel was 0.5/1000 workdays. One hundred thirty-six patients were admitted, median age 59 (51,65) years old, 68% were male, and 63% had P/F ≤ 100. In addition, 48% received mechanical ventilation, the median length of stay was 7 (3,17), and in-hospital mortality was 15%.

CONCLUSIONS

We propose an organizational framework for the role of PICU in the hospital action plan to increase adult critical beds. The cohort of patients admitted to a PICU repurposed as a COVID-19 ICU had good outcomes. These data are valuable to plan coordinated actions of the healthcare system for future scenarios.