ABSTRACT
Background: Coronavirus (COVID-19) represents a global public health crisis that is causing significant deaths and affecting health systems around the world. There are several risk factors for the severity of infection, complications and mortality of COVID-19. One of them is blood group. The aim of this study was to investigate the relationship between blood group and rate of covid 19 disease. Methods: A cross sectional study was performed on 130 patients over 18 years of age admitted in ICU of Shohada Tajrish Hospital between August 2020 and April 2021.The positive COVID-19 diagnosis was confirmed by polymerase chain reaction (PCR) test. Blood groups were determined and then, we monitored and followed up the patients' outcome during staying in ICU, the need for intubation, recovery and death. Data were collected using a questionnaire and analyzed by Pearson correlation coefficient and stepwise multiple regression analysis. Results were determined based on Fisher’s exact test. P<0.05 was considered significant. Results: 60 (46.1%) patients had blood type A, (20%) 26 patients blood type AB, 12 (9.2%) patients’ blood type B and (24.7%) 32 patients blood type O. Blood group A was significantly higher in these patients. 55 patients (42.3%) were female and 75 patients (57.7%) were male. Their mean age was 43.19±19.05. Totally, 43.1% of hospitalized patients were intubated regardless of blood type. The number of cases requiring intubation was higher in people with positive blood type A. The lowest need for intubation was seen in blood type B negative. Blood group A positive (39.6%) and then AB negative (33.3%) had the highest mortality rate. Death was not observed in blood group A negative, B negative, B positive and O negative. Conclusion: The number of patients with COVID-19 with blood type A was significantly higher (46.1%). The most common blood group in these patients was A and the lowest was blood group B. The number of cases requiring intubation was higher in people with positive blood type A. Copyright © 2022 Behnaz et al.
ABSTRACT
Past research studies have acknowledged the role of resilience in policies and decisions to address disruptive events and proposed frameworks to measure it. The scope and diversity of these unwanted events highlight the need to evaluate the resilience of a system to a specific disruptive circumstance. The broad scope and generic form of the previous studies limit their usefulness as a practical tool for analyzing the factors affecting system performance. To overcome this problem, we are only focusing on the behavior of systems that produce, distribute, and deliver food, energy, and water (FEW) during and after the occurrence of a sudden shortage of labor. Resilience metrics are first developed to measure the resilience of the FEW systems. Next, the performance levels of the FEW systems are clearly defined based on the FEW demands that are not served. Third, the labor intensity of FEW productions is calculated to assess the impact of a sudden labor shortage. This study recognizes the complex interdependencies among the FEW systems and, thus, aims to examine their resilience as a single system. Last, the labor shortage in the USA caused by the COVID-19 pandemic is chosen as a use case to measure the system performance and role of adjustments on the FEW systems. The results show that a labor shortage can significantly impact the FEW system performance, possibly due to the high energy dependency of food and water systems and the high cost of storing energy. Also, the current food system has shown more resilience to a sudden labor shortage compared to the energy and water systems because of the availability of various food alternatives to meet the demand for each food category.