Simulation analysis of passengers' rescheduling strategies in metro station under COVID-19

The spread of COVID-19 has a great impact on public transport which is closely related to social life. As an essential carrier of the cities, metro has become an important object of concern during the epidemic. Due to the high infection risk of COVID-19 in public space, it is necessary to quantitatively evaluate and perform corresponding epidemic control measures on reducing public health risks in metro station. In this paper, three strategies of passenger rescheduling, i.e. controlling the flows of inbound and outbound passengers in the station, setting route guidance in the crucial areas and shortening the interval time of train, are simulated and analyzed based on Anylogic. The performances of different strategies are characterized and evaluated by the important parameters, which include local passengers' density, inbound and outbound time. Finally, the optimization experiments based on an objective function are carried out to obtain the best strategy combination considering passengers' health safety and travel efficiency. The crucial areas with high density are obtained from the simulation results of the initial model. The three independent strategies are helpful in reducing the maximum passengers' density and average travel time. The optimization results of strategy combination and the specific parameters of each strategy are obtained by the final simulation experiment. The research findings are important reference to enhance the present health risk management level and provide specific measures of passenger organization in metro station under COVID-19.

Simulation analysis of passengers' rescheduling strategies in metro station under COVID-19

The spread of COVID-19 has a great impact on public transport which is closely related to social life. As an essential carrier of the cities, metro has become an important object of concern during the epidemic. Due to the high infection risk of COVID-19 in public space, it is necessary to quantitatively evaluate and perform corresponding epidemic control measures on reducing public health risks in metro station. In this paper, three strategies of passenger rescheduling, i.e. controlling the flows of inbound and outbound passengers in the station, setting route guidance in the crucial areas and shortening the interval time of train, are simulated and analyzed based on Anylogic. The performances of different strategies are characterized and evaluated by the important parameters, which include local passengers' density, inbound and outbound time. Finally, the optimization experiments based on an objective function are carried out to obtain the best strategy combination considering passengers' health safety and travel efficiency. The crucial areas with high density are obtained from the simulation results of the initial model. The three independent strategies are helpful in reducing the maximum passengers' density and average travel time. The optimization results of strategy combination and the specific parameters of each strategy are obtained by the final simulation experiment. The research findings are important reference to enhance the present health risk management level and provide specific measures of passenger organization in metro station under COVID-19.

Investigation of social media representation bias in disasters: Towards a systematic framework

Due to its real-time and human-centered nature, social media posts have been widely applied to provide rapid situational awareness in disasters, particularly from a human-centered perspective. To generalize social media-derived insights on a population, a pre-requisite is that the employed social media posts are capable of revealing the information of disaster-affected population without bias. Such wide application and pre-requisite underscore the importance of investigating social media bias for deriving reliable decision support insights in disaster management. However, a systematic framework that streamlines the investigation of social media representation bias is still missing. To address the research gap, we propose a framework comprising (1) the setting of an appropriate representation bias benchmark;(2) the modeling of the sampling uncertainty of social media-derived insights;and (3) the derivation and quantification of representation bias distribution across races/ethnicities. Public transit amid COVID-19 in the United States is studied for illustration purposes. Nation-level results show that the White group is over-represented, the Asian group is slightly over-represented, and the Hispanic and Black groups are under-represented throughout the studied period. The level of social media representation bias varies across the states of California, New York, Texas, and Florida, and it is inversely correlated with population ratios. Such findings are beneficial for decision-makers to use social media to derive reliable insights into disaster-affected population, thereby making informed operational decisions accordingly.

Factors Affecting the Job Satisfaction of Caregivers in a Home-Based Elderly Care Program.

Population aging has increased the demand for elderly care worldwide. The home-based elderly care system plays an important role in meeting this demand in developing countries. The quality of home-based elderly care is associated with the job satisfaction of caregivers in home-based elderly care programs, which has rarely been studied. This paper explores the factors that affect the job satisfaction of these elderly caregivers, including personal characteristics, working conditions, employment status, training, caregiver-client relationships, welfare, work experience, and burnout. It utilizes data from the Shanghai Domestic-work Professionalization Survey (SDPS), which was conducted among four types of in-home caregivers (n = 1000) in Shanghai over the period from May to September 2021. This paper selected a sample of elderly caregivers (n = 285) to examine their job satisfaction. The results show that gender, age, marital status, how they earned the job, relation with clients, social insurance, and work experience are significantly associated with the job satisfaction of in-home elderly caregivers, and their job satisfaction is negatively associated with their burnout levels. However, training and working conditions have no significant effect on the job satisfaction of in-home elderly caregivers, which is different from previous studies on formal care workers, such as nurses, in the institutional care system.

Clinico-histopathologic and single-nuclei RNA-sequencing insights into cardiac injury and microthrombi in critical COVID-19.

Acute cardiac injury is prevalent in critical COVID-19 and associated with increased mortality. Its etiology remains debated, as initially presumed causes - myocarditis and cardiac necrosis - have proved uncommon. To elucidate the pathophysiology of COVID-19-associated cardiac injury, we conducted a prospective study of the first 69 consecutive COVID-19 decedents at CUIMC in New York City. Of 6 acute cardiac histopathologic features, presence of microthrombi was the most commonly detected among our cohort. We tested associations of cardiac microthrombi with biomarkers of inflammation, cardiac injury, and fibrinolysis and with in-hospital antiplatelet therapy, therapeutic anticoagulation, and corticosteroid treatment, while adjusting for multiple clinical factors, including COVID-19 therapies. Higher peak erythrocyte sedimentation rate and C-reactive protein were independently associated with increased odds of microthrombi, supporting an immunothrombotic etiology. Using single-nuclei RNA-sequencing analysis on 3 patients with and 4 patients without cardiac microthrombi, we discovered an enrichment of prothrombotic/antifibrinolytic, extracellular matrix remodeling, and immune-potentiating signaling among cardiac fibroblasts in microthrombi-positive, relative to microthrombi-negative, COVID-19 hearts. Non-COVID-19, nonfailing hearts were used as reference controls. Our study identifies a specific transcriptomic signature in cardiac fibroblasts as a salient feature of microthrombi-positive COVID-19 hearts. Our findings warrant further mechanistic study as cardiac fibroblasts may represent a potential therapeutic target for COVID-19-associated cardiac microthrombi.

Persistent lymphopenia after diagnosis of COVID-19 predicts acute respiratory distress syndrome: A retrospective cohort study

Background: Lymphopenia is a marker of immunosuppression after severe coronavirus disease-2019 (COVID-19) which is characterized by acute respiratory distress syndrome (ARDS). This study aimed to evaluate the relationships between persistent lymphopenia and ARDS. Methods: A retrospective cohort study of 125 patients with COVID-19 admitted to government-designated treatment center between 14 January 2020, and 20 March 2020 was conducted. We recorded all complete blood cell counts during the day 0th, 3rd, and 7th following the diagnosis of COVID-19. Patients were grouped based on the depression of the lymphocyte cell count, their return, or their failure to normal. The primary outcome was the occurrence of ARDS, and secondary outcomes included developing vital organ dysfunction and hospital lengths of stay. Results: 17.6% (22/125) patients developed ARDS. The lymphocyte counts with ARDS and non-ARDS were 0.94 × 109/L, 1.20 × 109/L at admission, respectively (p = 0.02). On the 3rd and 7th day, the median of lymphocyte count in ARDS was significantly lower than that of non-ARDS. Multivariable logistic regression, which was adjusting for potentially confounding factors (including age, comorbidities, and APACHE II score), showed that persistent lymphopenia within the 7th day was independently associated with ARDS (OR, 3.94 [95% CI, 1.26–12.33, p = 0.018). Further, patients with persistent lymphopenia had longer hospital lengths of stay (p < 0.001). Conclusion: The results showed persistent lymphopenia predicted ARDS after COVID-19. Further studies are needed to investigate whether immunostimulation of lymphocytes within 1 week can reduce ARDS occurrence in patients with COVID-19. [ABSTRACT FROM AUTHOR] Copyright of European Journal of Inflammation (Sage Publications, Ltd.) is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)