It's all about control: Sense of control mediates the relationship between physical activity and mental health during the COVID-19 pandemic in Germany.

COVID-19-related burden has a significant impact on mental health and has led to an increase of depression, anxiety, and stress symptoms. Physical activity has been suggested to mitigate the negative effects of the pandemic and to foster mental health. The present study aimed to investigate, whether sense of control might mediate the supposed beneficial effects of physical activity on positive (PMH) and negative mental health (NMH) in unpredictable extraordinary situations. Data were assessed in a sample of 568 students (M age = 19.90, SD age = 4.52) from Germany via an online survey in fall 2020. Mediation analyses revealed that sense of control mediated the relation between physical activity and PMH as well as depression, anxiety, and stress symptoms, respectively. The findings indicate that physical activity may be a promising strategy for fostering sense of control and thus mental health. Due to its practical implications and practicability, engagement in physical activity could be an effective way to reduce the NMH consequences of the current COVID-19 situation, and therefore should be addressed in actions for long-term prevention and intervention.

COVID-19: Protecting Health-Care Workers in South Korea.

OBJECTIVES: Health-care workers (HCWs) are vulnerable to the risk of coronavirus disease 2019 (COVID-19) infections, and the safety of HCWs is important in situations where a prolonged COVID-19 is expected. METHODS: HCWs were recently put in great danger around the globe; as of December 21, there were 306 confirmed cases in HCWs in South Korea, representing 0.60% of the total 50,591 confirmed cases nationally. RESULTS: After experiencing Middle East respiratory syndrome (MERS), South Korea has put a range of infection prevention and control (IPC) measures with long-term perspectives in place, including the use of personal protective equipment (PPE), HCW's infection status tracing, visitor control, and a variety of supports from both national and local public health authorities. CONCLUSIONS: This article introduces the infection status of HCWs and IPC measures currently taken in South Korea, emphasizing the collaborative and long-term IPC efforts for ensuring the safety of HCWs.

If-then planning, self-control, and boredom as predictors of adherence to social distancing guidelines: Evidence from a two-wave longitudinal study with a behavioral intervention.

In the wake of the Coronavirus Disease 2019 (COVID-19), social distancing is instrumental for containing the pandemic. To maximize its effectiveness, it is paramount to investigate psychological factors that predict adherence to social distancing guidelines and examine corresponding interventions. We focused on individual differences in if-then planning, self-control, and boredom, and tested an intervention based on if-then planning. We conducted a two-wave longitudinal study combining observational and experimental methods. Participants (N = 574, 35.7% female, age: M = 37.5 years, SD = 10.8) reported their adherence to social distancing guidelines and the perceived difficulty of adherence at T1, along with trait measures of if-then planning, self-control, and boredom. Afterwards, they were randomly assigned to an if-then planning intervention to increase adherence, or to a control intervention. One week later at T2, participants again reported their adherence and the perceived difficulty of adhering. Multiple regression and structural equation modeling were used to establish whether trait if-then planning, self-control, and boredom predicted adherence, and to examine the effects of the if-then planning intervention. Trait if-then planning, self-control, and boredom were associated with T1 adherence, while only if-then planning and boredom predicted T2 adherence. No overall treatment effect of the if-then planning intervention emerged; however, participants who complied with the intervention (75.6%) maintained higher levels of adherence over time than control participants. In sum, individual differences in if-then planning, self-control, and boredom predicted adherence to social distancing guidelines. If-then planning interventions are promising but require further steps to ascertain compliance.

Experimental Analysis of Power Quality in a Power Substation Used in a Residential and Educational Sector

The article describes the experimental measurements made at a low-voltage residential and educational power substation, in a point of common coupling. Two groups of experiments were carried out, in normal conditions and during the COVID-19 pandemic. Measurements were made using a power quality analyzer and include phase RMS voltages and line currents, total harmonic distortion and unbalance of phase voltages and line currents, neutral current, active, reactive and apparent powers, power factors and displacement power factors, Fresnel diagrams, and harmonic spectra. Measurements indicate significant differences of power quality indicators between the two measurement groups. © 2023 IEEE.

IoE-Based Predictive Oxygen Inventory Management

The COVID-19 pandemic highlighted a major flaw in the current medical oxygen supply chain and inventory management system. This shortcoming caused the deaths of several patients which could have been avoided by accurate prediction of the oxygen demand and the distribution of oxygen cylinders. To avoid such calamities in the future, this paper proposes an Internet of Everything (IoE) based solution which forecasts the demand for oxygen with 80-85% accuracy. The predicted variable of expected patients enables the system to calculate the requirement of oxygen up to the next 30 days from the initiation of data collection. The system is scalable and if implemented on a city or district level, will help in the fair distribution of medical oxygen resources and will save human lives during extreme load on the supply chain. © 2023 IEEE.

Modelling and Closed-Loop Control of Admissions in a Vaccination Center Through Tropical Algebra

This paper presents the development of a dynamical tropical algebra-based model of a vaccination center, which can be used to control and optimize the admission of users during center's operation. In addition, an analysis of closed-loop control methods designed to maximize the system performance in terms of service rate and minimize users' waiting time, while observing occupancy constraints due to social distancing protocols recommended by sanitary authorities due to Covid epidemic, is presented. © 2023, Brazilian Society for Automatics--SBA.

Sudden lockdown repeals, social mobility, and COVID-19: Evidence from a judicial natural experiment

The imposition and lifting of COVID-19 lockdown orders were among the most heatedly debated policies during the pandemic. Credible empirical evaluations of the effects of reopening policies are difficult because policymakers often explicitly linked sustained reductions in COVID-19 cases to the lifting of lockdown orders. This hardwired policy endogeneity creates challenges in isolating the causal effects of lifting of lockdown orders on social mobility and public health. To overcome simultaneity bias, we exploit a natural experiment generated by the Wisconsin Supreme Court when it abolished Wisconsin's "Safer at Home” order on separation-of-powers grounds. We capitalize on this sudden, dramatic, and largely unanticipated termination of a statewide lockdown order to estimate its effect—relative to a more gradual scaling back of restrictions—on social mobility and COVID-19 case growth. First, using anonymized smartphone data from SafeGraph and a synthetic control design, we find that termination of COVID-related restrictions had small and short-lived negative impacts on social distancing. Then, using data on case and mortality rates, we find no evidence that the Wisconsin Supreme Court decision impacted COVID-19 growth up to a month following the repeal. These findings suggest that in the absence of carrying new information, sudden lockdown repeals may generate smaller behavioral responses than policymakers anticipate. © 2023 The Authors. Journal of Empirical Legal Studies published by Cornell Law School and Wiley Periodicals LLC.

The clinical trial of patients improved from COVID-19: the effectiveness of mindfulness-based cognitive therapy on mental health and life expectancy (single-subject study)

Background & Aims: In early January 2020, a new corona virus called corona was identified as an infectious agent by the World Health Organization and caused a viral pneumonia outbreak, the first of which was reported in Wuhan, China in December 2019. The virus has so far infected most countries in the world and has become a global problem. By this time in December 2021, about 265 million people in the world have been infected with this virus and 5 million 270 thousand people have died from this disease. According to the World Health Organization, the incidence of this disease is still increasing and will become the third leading cause of death in the world by 2030. This disease has a special complexity and has multiple dimensions and consequences that have caused many problems in the field of health, social and economic as well as psychological for people. The emergence of this disease is now a public health crisis. According to this research, exposure to news and restrictions caused by this disease can lead to many mental health problems. In fact, one of the situations that puts a lot of stress on people during the outbreak of covid 19 disease is the inability to predict and uncertainty about the control and end of the disease. Mental health is defined as a harmonious and harmonious behavior with society, recognizing and accepting social realities, the power to adapt to them and meeting one's balanced needs and is an important factor for the health of society. The prevalence of the disease can also increase feelings of loneliness, decrease social support, feelings of fear and anxiety to clinical stress and anxiety, obsessive-compulsive disorder associated with the disease, and decreased life expectancy. One of the hopeful factors is health and the disease can cause despair, fear and even despair of the patient. The outbreak of a disease has a much deeper and wider impact and affects not only the affected community and relatives, but the entire community. Because everyone finds themselves at risk, and therefore people's feel of safe and healthy changes, and this situation causes people to despair. Hope is the capacity to imagine the ability to create paths to desirable goals and to imagine the motivation to move in those paths. Hope predicts physical and mental health such as positive response to medical interventions, mental health, effective getting along, and health-promoting behaviors. Covid 19 disease can also lead to psychological problems due to its infectious nature and unpredictable nature. In this regard, various researchers consider the implementation of public health policies, including areas related to individual and collective mental health in accordance with the different stages of the epidemic of this disease is very necessary. Mindfulness can be an effective tool for achieving peace of mind and body that helps people become aware of their current feelings. Mindfulness-based interventions are considered as one of the third generation or third wave cognitive-behavioral therapies. Mindfulness is a form of meditation rooted in Eastern religious teachings and rituals, especially Buddhism. Segal has defined mindfulness as paying attention to specific and purposeful ways, in the present time, without judgment or prejudice. Linhan stressed for the first time the need to pay attention to mindfulness as one of the essential components of psychological therapy. Mindfulness requires the development of three components: judgment avoidance, purposeful awareness, and focus on the present moment. Focusing on the present and processing all aspects of the above experience makes one aware of the daily activities and automatic functioning of the mind in the past and future world and he controls emotions, thoughts, and physical states through moment-to-moment awareness of thoughts. As a result, it is released from the everyday and automatic mind focused on the past and the future. Although general vaccination has reduced the virus in some countries, including Iran, and reduced the number of infected people, a large num

Demonstration of Remote Control of Critical Care Ventilators and the Integrated Clinical Environment

Introduction: The COVID-19 pandemic posed numerous challenges to patient care, including extensive PPE use, patient care in isolation rooms, inadequate numbers of intensivists particularly in rural communities, use of unfamiliar ventilators that would be partially remedied by the ability to remotely control lung ventilation. The goals of the project were to study the intended use, risk management, usability, cybersecurity for remote control of ventilators and demonstrate the use of a single interface for several different ventilators. Method(s): Clinical scenarios were developed including remote control of the ventilator from an antechamber of an isolation room, nursing station within the same ICU, and remote control from across the country. A risk analysis and was performed and a risk management plan established using the AAMI Consensus Report--Emergency Use Guidance for Remote Control of Medical Devices. A cybersecurity plan is in progress. Testing was done at the MDPNP laboratory. We worked with Nihon Kohden OrangeMed NKV-550, Santa Ana, CA, and Thornhill Medical MOVES SLC, Toronto, Canada. Both companies modified their devices to allow remote control by and application operating on DocBox's Apiary platform. Apiary is a commercially available ICE solution, DocBox Inc, Waltham, MA. An expert panel was created to provide guidance on the design of a single common, simple to use graphical user interface (GUI) for both ventilators. Manufacturers' ventilation modes were mapped to ISO 19223 vocabulary, data was logged using ISO/IEEE 11073-10101 terminology using AAMI 2700-2-1, Medical Devices and Medical Systems - Essential safety and performance requirements for equipment comprising the patient-centric integrated clinical environment (ICE): Part 2-1: Requirements for forensic data logging. Result(s): We demonstrated that both ventilators can be controlled and monitored using common user interface within an institution and across the country. Pressure and flow waveforms were available for the NKV-550 ventilator, and usual ventilator measurements were displayed in near-real time. The interface allowed changing FiO2, ventilation mode, respiratory rate, tidal volume, inspiratory pressure, and alarm settings. At times, increased network latency negatively affected the transmission of waveforms. Conclusion(s): We were able to demonstrate remote control of 2 ventilators with a common user interface. Further work needs to be done on cybersecurity, effects of network perturbations, safety of ventilator remote control, usability implications of having a common UI for different devices needs to be investigated.

Web-based personal access control system using facial recognition with deep learning techniques

This paper presents a web application to control personnel access to a work area without contact;this makes it ideal to help combat the Covid-19 health emergency. For its implementation, deep learning and computer vision techniques have been used for face detection and recognition. The system consists of four phases, the first one aimed at detecting and aligning the face with deep learning algorithms. The second phase obtains the facial features to recognize different people. The third phase consists of implementing a module that detects face impersonation, and significantly prevents possible attacks on the system by identifying whether the face is real or fake;and the last phase is the design and development of the web interface. This interface performs the communication of the algorithms, the users and the administration. In order to evaluate this proposal, several experiments have been carried out under diverse real conditions. The main results to correctly identify the user show that it has an accuracy of 99 %, in an estimated time of 3 seconds, in the range of 20 cm to 90 cm away, with respect to the camera. In addition, the system is capable of identifying users wearing masks or glasses, in this case with an accuracy of 95% in 4 seconds. © 2022 IEEE.

Consumer purchase intention on Boba drinks in Kuching during Covid-19

Many businesses were badly impacted as consumer spending habit shifted due to Covid-19 outbreak. The purpose of this study is to investigate consumer purchase intention on Boba drink during Covid-19. By adopting Theory of Planned Behavior, this study explores the influence of perceived behavioral control, subjective norm, and attitude. Importantly, perceived risks is added to the conceptual model to study consumer purchase intention amid Covid-19. Boba drink is a popular beverage in every city in Malaysia, including Kuching, where one could easily spot a Boba drink outlet at almost every corner of the city. A total of 394 complete observations have been obtained from the respondents through a self-administered online survey. The outcome of the analysis uncovered that perceived behavioral control and subjective norm have significant direct relation, while attitude and perceived risks have significant adverse relation with consumer purchase intention during Covid-19. This research offers insights to Boba drink sellers to devise appropriate strategies to market their beverages by targeting consumers' ability to buy the beverage, health-conscious belief, food safety, and attractive promotion to encourage consumers to buy their products during the pandemic.

SCI-indexed papers and research hotspots of provincial centers for disease control and preven tion in China from 2011 to 2020

[Background] The COVID-19 pandemic hints at the importance of modernizing disease control system. To understand the scientific research strength of our country's disease control system in recent years is conducive to formulating more targeted policies or measures to promote the modernization of the disease control system. [Objective] To understand the scientific research strength and research hotspots of China's provincial-level centers for disease control and prevention (CDCs) from 2011 to 2020, and provide evidence for the development of scientific research work, discipline construction, and talent team construction in CDCs in the future. [Methods] The Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI) of the Web of Science Core Collection were used to retrieve SCI-indexed English papers published by 31 provincial CDCs (excluding Taiwan Province, Hong Kong and Macau Special Administrative Regions) in our country from 2011 to 2020, and to screen literature with provincial CDCs as the first affiliation for bibliometric analysis and visual analysis. Bibliometric analysis included the SCI-indexed publications of different provincial CDCs (as co-affiliation and the first affiliation), the number of SCI-indexed papers published by provincial CDCs (as the first affiliation) and funding rates by years, the high-frequency authors of SCI-indexed papers published by provincial CDCs (as the first affiliation) and their distribution, and the characteristics of the journals. Visual analysis software Citespace 5.8.R1 was used to draw keyword co-occurrence maps, cluster information tables, and emergence maps to provide information on research hotspots and their evolution. [Results] From 2011 to 2020, the number of SCI-indexed papers from 31 provincial CDCs was 8 420 (including co-affiliation), of which 2 060 papers listed provincial CDCs as the first affiliation. The provincial CDCs of Zhejiang, Jiangsu, Shanghai, Beijing, Shandong, and Guangdong were the leading six institutes in terms of the total number of SCI-indexed papers contributed as co-affiliation or the first affiliation. There was a large gap in the total number of SCI-indexed papers among the provincial CDCs. The highest total number of SCI-indexed papers contributed by provincial CDCs as the first affiliation was Zhejiang CDC (448 papers), while the lowest number was Xinjiang CDC (only 1 paper). From 2011 to 2020, the total number of SCI-indexed papers contributed by the 31 provincial CDCs as the first affiliation showed an overall increasing trend. Except for 2011, which was 63.1%, the funding rates in other years exceeded 70%. In terms of high-frequency authors, 13 first authors published >=10 SCI-indexed papers: Zhang Yingxiu from Shandong CDC had the highest number of SCI-indexed papers (47), followed by Hu Yu from Zhejiang CDC. Zhejiang, Jiangsu, Beijing, Guangdong, Shanghai, and Shandong still ranked the top six of >=4 first authored-SCI papers. In terms of journal characteristics, the top 20 journals with the highest number of SCI papers published a total of 862 papers, accounting for 41.8% (862/2 060), and PLOS ONE ranked the first (188 papers). The research hotspots were mainly concentrated in the fields of infection, child health, and epidemiology. The main keywords of the first three cluster categories were related to the research fields of adolescent overweight and obesity, HIV, and vaccine immunity. The results of keyword emergence showed that research hotspots shifted from overweight, obesity, and body mass index to antibodies, vaccines/vaccination, and cohorts. [Conclusion] The past ten years have witnessed increasing numbers of SCI-indexed papers published by provincial CDCs in our country and a stubbornly high funding rate. However, the gap among the provincial CDCs is still large seeing that economically developed eastern provincial CDCs published more SCI-indexed papers. Research hotspots have gradually shifted from overweight, obesity, and body mass index to antibodies, vaccines/vaccination, and cohorts.Copyright © 022 Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.

Tb Genomics for Public Health

Mycobacterium tuberculosis complex (MTBC), the causative organisms of tuberculosis (TB), has afflicted man for millennia. TB was declared a global health emergency by the World Health Organization in 1993. Before the 2020 Covid pandemic, it was responsible for 10 million new cases annually and was the leading infectious disease killer worldwide. MTBC strain typing represents an important complementary tool to guide TB control measures. TB programmes can use genotyping results in combination with epidemiological information to determine if recent transmission has likely occurred, and hence identify outbreaks that require targeted public health action. MTBC genotyping also can differentiate between relapse or re-infection, detect false-positive cases, and identify and monitor the circulating TB strains in the population over time. Restriction Fragment Length Phenotyping (RFLP), introduced in the 1990s, was labour intensive, required large amounts of DNA and was not easily comparable between laboratories. These disadvantages are overcome by the PCR-based MIRU-VNTR and spoligotyping methods. More recently, whole genome sequencing (WGS) of MTBC has been shown to provide high resolution identification of recent transmission chains and their direction, as well as drug resistance prediction. Its increasing reliability and affordability has enabled this technology to transition from the research arena to clinical care and public health functions. Its application in high TB burden countries will hopefully revitalize global TB control efforts which have set back by the Covid pandemic.Copyright © 2023

The digital skills divide: evidence from the European tourism industry

PurposeThis paper aims to present the findings from a European study on the digital skills gaps in tourism and hospitality companies.Design/methodology/approachMixed methods research was adopted. The sample includes 1,668 respondents (1,404 survey respondents and 264 interviewees) in 5 tourism sectors (accommodation establishments, tour operators and travel agents, food and beverage, visitor attractions and destination management organisations) in 8 European countries (UK, Italy, Ireland, Spain, Hungary, Germany, the Netherlands and Bulgaria).FindingsThe most important future digital skills include online marketing and communication skills, social media skills, MS Office skills, operating systems use skills and skills to monitor online reviews. The largest gaps between the current and the future skill levels were identified for artificial intelligence and robotics skills and augmented reality and virtual reality skills, but these skills, together with computer programming skills, were considered also as the least important digital skills. Three clusters were identified on the basis of their reported gaps between the current level and the future needs of digital skills. The country of registration, sector and size shape respondents' answers regarding the current and future skills levels and the skills gap between them.Originality/valueThe paper discusses the digital skills gap of tourism and hospitality employees and identifies the most important digital skills they would need in the future.

Air quality changes in Shijiazhuang during COVID-19 outbreak

[Background] The coronavirus disease 2019 (COVID-19) was first detected in December 2019. To combat the disease, a series of strict measures were adopted across the country, which led of improved air quality. This provides an opportunity to discuss the impact of human activities on air quality. [Objective] This study investigates the air quality changes in Shijiazhuang, and analyzes the impacts of epidemic prevention and control measures on air quality, so as to provide reference and ideas for further improving air quality and prevention and control measures. [Methods] The air quality data were collected online from https://www.zq12369.com/ and https://aqicn.org/city/shijiazhuang/cn/. Comparisons in air quality index (AQI) and the concentrations of air pollutants (PM2.5, PM10, SO2, CO, NO2, and O3) were made between the period from December 2019 to June 2020 (reference) and the same period from 2016 to 2019 by t-test and chi-square test. [Results] The daily average AQI dropped by 25.38% in Shijiazhuang during the COVID-19 prevention and control compared with the some period from 2016 to 2019 (t=6.28, P < 0.05). The proportions of pollution days during the COVID-19 outbreak in Shijiazhuang were PM2.5 (44.56%), O3 (31.09%), PM10 (23.83%), and NO2 (2.59%) successively, the pollution days of PM10 decreased significantly (chi2=3.86, P < 0.05) compared with 2016-2019, but during traffic lockdown the numbers of pollution days of PM2.5 and in the mid stage of prevention the number of pollution days of O3 increased (P < 0.05). Compared with the control period, the concentrations of the six air pollutants decreased to varying degrees (P < 0.05), especially SO2 dropped by 55.36%. [Conclusion] The measures taken for COVID-19 control and prevention have reduced the pollution sources and emissions, which resulted in better general air quality of Shijiazhuang City, but have aggravated the pollution of O3 and other pollutants. It is necessary to further explore the causes for the aggravation of O3 pollution in order to formulate reasonable air quality control strategies.Copyright © 2021, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.

Relationship of clinical symptoms, comorbidities and treatment options along with disease outcomes in individuals tested for COVID-19 in Pakistan: a national survey

Background: This web-based survey is done to collect and assess data from people tested for COVID-19 with PCR in Pakistan. Methods: This 3-month study is a cross-sectional online survey, conducted by Pakistan Islamic Medical Association (PIMA), Health Research Advisory Board (HealthRAB) and National Institute of Health (NIH). Data collection was done using Google Forms. People who were tested for COVID-19 using Polymerase Chain Reaction (PCR) were included in the study. The sample size of the study was 1,537. SPSS version 22 was used for data analysis. Results: Majority of the respondents belonged to the age group 20 - 39 years. The most common symptoms found were fever 633 (41%), cough 534 (34%), generalized body aches 432 (28%) and sore throat 392 (25%). The mean COVID-19 mental health score was 3.59 (SD: 5.808, range: 0-18). Treatment with antibiotics and painkillers had a strong correlation (p-value < 0.05) with the disease outcomes. The disease outcomes had moderate correlation (p-value < 0.05) with anti-allergy, steroids, plasma and oxygen therapy, and weak correlation (p-value < 0.05) with Antiviral and Antimalarial therapy. Out of the total respondents, 561 (36.1%) were cured from COVID-19, 14 (0.9%) were expired during/after hospitalization, 15 (1%) were still infected and 962 (62%) were not infected. Conclusion: Pakistani population has a better cure rate than some of its neighboring countries. However, further research in this area is required to draw a definite conclusion.

Experience of Baricitinib in a Real-World Population with Efficacy and Side Effects: A South London Regional Analysis

Background/Aims Baricitinib is the most common Janus Kinase inhibitor (JAKi) used in the treatment of rheumatological conditions. Whilst randomised controlled trials have demonstrated the efficacy and safety profile of baricitinib, real-world data on the experience of JAKi use in clinical practice is lacking. The aim of this analysis was to evaluate baricitinib use in a real-world patient population in South London. Methods We looked at two rheumatology departments in South London (St George's Hospital;a tertiary teaching centre and Kingston Hospital;a district general hospital). All patients prescribed baricitinib between January 2017 to June 2022 were included. A retrospective assessment of electronic patient notes was performed to evaluate disease activity (determined by DAS-28 scores at baseline, 3-6 months and presently);adverse effects including side effects, rates of and reasons for discontinuation;and prescribing practice, including previous use of other biological disease modifying anti-rheumatic drugs (bDMARDs). Baseline data including age, gender, co-morbidities and rheumatological diagnoses were also included. Results 233 patients were included in this evaluation, with seropositive rheumatoid arthritis being the most common diagnosis (58%) and with a significant female population (87%). Baricitinib improved average DAS-28 scores from 5.75 (range 3.57-8.3) at baseline to 3.23 (range 0.28-7.49) at 3-6 months post-baricitinib, with the most recent DAS-28 score of 2.90 (range 0.56-6.77). Rates of adverse effects were low as shown in Table 1. Baricitinib was discontinued in 60/233 patients, with average duration to discontinuation of 9.5 months. The most common reasons for discontinuation were: ineffective disease control (28/60), recurrent bacterial infection (5/60), deranged liver function (3/60) and venous thromboembolism (2/60). Eight patients died whilst taking baricitinib. Where documented, the causes of death were Covid-19 (4/8) and malignancy (1/8). 110 out of 233 patients had received other bDMARDs before starting baricitinib. Documented reasons for baricitinib choice over tumour necrosis factor inhibitors (TNFi) included: previous lack of response to TNFi (89/233), contra-indication to TNFi (11/233) and preference of oral route (10/ 233). Conclusion Our real-world study of JAKi use shows that baricitinib is efficacious in the treatment of rheumatological conditions. Moreover, baricitinib is well tolerated, with low rates of adverse effects and subsequent discontinuation. (Table Presented).

THE CONTAGION NUMBER: HOW FAST CAN A DISEASE SPREAD?

The overall purpose of this paper is to define a new metric on the spreadability of a disease. Herein, we define a variant of the well-known graph-theoretic burning number (BN) metric that we coin the contagion number (CN). We aver that the CN is a better metric to model disease spread than the BN as the CN concentrates on first time infections. This is important because the Centers for Disease Control and Prevention report that COVID-19 reinfections are rare. This paper delineates a novel methodology to solve for the CN of any tree, in polynomial time, which addresses how fast a disease could spread (i.e., a worst-cast analysis). We then employ Monte Carlo simulation to determine the average contagion number (ACN) (i.e., a most-likely analysis) of how fast a disease would spread. The latter is analyzed on scale-free graphs, which are specifically designed to model human social networks (sociograms). We test our method on some randomly generated scale-free graphs and our findings indicate the CN to be a robust, tractable (the BN is NP-hard even for a tree), and effective disease spread metric for decision makers. The contributions herein advance disease spread understanding and reveal the importance of the underlying network structure. Understanding disease spreadability informs public policy and the associated managerial allocation decisions. © 2023 by the authors.

[Epidemiological characterization of COVID-2019 in Mexican pregnant women: a cohort study]

Background: COVID-19 in pregnancy can increase the risk of complications due to the cardiorespiratory and immunological changes typical of pregnancy. Objective: To report the epidemiological characterization of COVID-19 in Mexican pregnant women. Material and methods: Cohort study on pregnant women with a positive COVID-19 test, which were followed until delivery and one month later. Results: 758 pregnant women were included in the analysis. Mothers' mean age was 28.8 +/- 6.1 years;the majority were workers 497 (65.6%) and with an urban origin (482, 63.6%);the most common blood group was O with 458 (63.0%);478 (63.0%) were nulliparous women and more than 25% had some comorbidities;the average gestation weeks at infection were 34.4 +/- 5.1 weeks;only 170 pregnant women (22.4%) received vaccination;the most frequent vaccine was BioNTech Pfizer (96, 60%);there were no serious adverse events attributed to vaccination. The mean gestational age at delivery was 35.4 +/- 5.2 weeks;85% of pregnancies were cesarean section;the most frequent complication was prematurity (406, 53.5%), followed by preeclampsia (199, 26.2%);there were 5 cases of maternal death and 39 cases of perinatal death. Conclusions: COVID-19 in pregnancy increases the risk of preterm birth, preeclampsia, and maternal death. Vaccination against COVID-19 in this series showed no risk for pregnant women and their newborns. Copyright © 2023 Revista Medica del Instituto Mexicano del Seguro Social.