Developing Business Model Competences in the Enterprise

Despite the COVID-19 pandemic, 2021 saw a growing interest in starting own business: as per the Census Bureau's Business Formation Statistics, the number of applications to form new businesses filed in the U.S. was the highest compared to any other year on record, reaching the total of 5.4 million (Economic Innovation Group, 2022), while in the EU, after an initial downward trend recorded in the first and second quarters of 2020, the number of new business registrations grew again in the third quarter of that year, and this upward trend continued throughout 2021 (Eurostat, 2022). Of course, as a result of Russia's invasion on Ukraine and related economic crisis, a downward tendency could be observed, but business registration levels in the EU in the first quarter of 2022 were still higher than during the pre-COVID 19 pandemic period (2015-2019) (Eurostat, 2022) and online searches indicating and intent to open a business spiked by 76% from 2018 to 2022 (Search Engine Journal, 2022). This shows that despite many external impediments, people are still tempted to start their own business, and many influencers, motivational speakers and coaches, as well as various popular TV shows broadcast worldwide (like the Apprentice, Dragons' Den, Shark Tank or Planet of the Apps) encourage them to do so. Becoming an entrepreneur has become a goal many people, especially 20-, 30- and 40-year-olds, strive to achieve. However, many of those people fail to realise that the very entry in the business register does not automatically make them entrepreneurs or their business successful. Neither does a good (or even excellent and innovative) business idea that attracts customers, as it was in Kodak's, Blockbuster's, or Ask Jeeves' case. What is required, is the ability to stay attractive to existing and prospective customers, i.e., the ability to win and retain customers, and to adapt to the changing demands, trends and economic conditions. All this can be achieved thanks to a meticulously designed and regularly reviewed and updated business model. The aim of this paper is to present and analyse the learning process of acquiring and building competences in the area of business models with the use of different innovative tools. The results presented and discussed in this article come from surveys as well as face-to-face and on-line meetings conducted in the ProBM 2 ERASMUS+ project (Understanding and Developing Business Models in the Era of Globalisation), in which the total of 261 respondents from seven (7) European countries, i.e. Poland, Italy, Greece, Romania, Portugal, Malta, and Switzerland, took part between 2019 and 2022. From the meetings and surveys it follows that much more awareness of business models needs to be encouraged and developed, particularly as regards improving competences helping future business owners and their employees assess profitability and efficiency of their operations and ensure that the business will be a going concern. © 2022 Authors. All rights reserved.

Pilot Study Evaluating the Trends in Utilization of Compounded Products Pre- and Post- COVID-19 Pandemic

Objectives: To assess utilization differences in compounded products before and after the COVID-19 pandemic. Secondary objectives were to understand if there were changes in patient cost sharing and types of products compounded pre- and post- pandemic. Method(s): A cross-sectional study was completed using a large national claims database for patients who received at least one COVID-related vaccine, test, or treatment from October 2015 to July 2022. Claims included in the analysis are those identified as paid, listed as compounded, and were filled in 2019, 2020, or 2021. Chi-Square and T-Tests were used to determine if there are differences between each year. Result(s): The prevalence of paid claims for compounded products was 0.00055% (14,101) in 2019, 0.00042% (11,551) in 2020, and 0.00048% (14,005) in 2021. In each year, most claims for compounded products were through commercial insurance 70% in 2019, 62% in 2020, and 65% in 2021. On average there were approximately 2 claims per patient. The most frequently compounded product was lidocaine hydrochloride 20mg/ML topical solution. In 2020 there was an increase in utilization of naltrexone hydrochloride, a treatment for opioid use disorder (OUD). Between 2019 and 2020 the number of compounded claims decreased 17.6% while the number of total claims increased by 9.01%. From 2020 to 2021 the number of claims for compounded products returned to pre-pandemic levels with a 21.24% increase. In the same period, the total number of claims increased 5.86%. The average patient cost sharing for compounded products was $42.57 (SD: $60.02) in 2019, $40.07 ($80.36) in 2020, and $42.61 ($60.02) in 2021. Conclusion(s): We found that there were fewer patients receiving compounded products following the COVID-19 pandemic. We found no change in the number of compounded claims for hydroxychloroquine and ivermectin, though in 2020, there was a notable increase in the number of claims for naltrexone hydrochloride.Copyright © 2023

Trends of the medical status of adult patients with diabetes mellitus in the Samara region for 2018-2020.

According to domestic and foreign studies, diabetes mellitus (DM) is a significant risk factor for infection with the SARS-CoV-2 vi-rus, a severe course of the disease, and an adverse outcome. Trend analysis of epidemiological and clinical characteristics of DM patients living in the Samara region in the initial period of the spread of the new coronavirus infection can help to assess the effectiveness of medical care for DM patients in a challenging epidemiological setting and to determine the directions for its improvement. Objective. To assess the trends in the prevalence, incidence, and mortality of DM patients living in the Samara region and to iden-tify the changes in the structure of vascular complications and the status of glycemic control from 2018 to 2020. Material and methods. The study of the medical and epidemiological DM indicators was performed according to the design of a continuous retrospective observational study covering the period from 2018 to 2020;the object was the adult population of the Samara region. Results. The total number of DM patients in the Samara region in 2020 was 118,623 people (3.73% of the population), of which type 1 diabetes was detected in 5.2% (6118 people) and type 2 diabetes in 94.2% (111,700 people). The trends of the prevalence of type 1 DM were 186.3->192.4/100,000 population, type 2 DM 3132.5->3153.1/100,000 population;the dynamics of primary morbidity with type 1 diabetes mellitus 8.8->6.2/100,000 population, with type 2 DM 259.1->196.4/100,000 population;mortality with type 1 diabetes mellitus 3.2->4.2/100,000 population, with type 2 diabetes mellitus 120.7->174.5/100,000 population. The most common causes of death were cardiovascular diseases: 30.3% in type 1 DM, 39.7% in type 2 DM;there is a trend towards increasing in death <<from DM>> without indicating the immediate cause of death for both types of DM;<<from COVID-19>> 3.8% with type 1 DM and 3.7% with type 2 DM. The incidence of vascular complications in type 1 and type 2 DM was 31.4% and 11.5% for reti-nopathy, and 21.4 and 11.5% for nephropathy, respectively. Trends in the proportion of patients with HbA1c <7%: 28.1%->51.1% in type 1 DM, 15.7%->62.4% in type 2 DM;with HbA1c >=9.0%: 25.4%->12.1% in type 1 DM, 39.8%->7.1% in type 2 DM. Conclusion. The study demonstrates the importance of a comparative sequential assessment of the epidemiological characteristics of diabetes mellitus and the clinical status of patients living in the Samara region in challenging epidemiological settings to assess the prospects for optimizing follow-up.Copyright © 2023, Media Sphera Publishing Group. All rights reserved.

Forecasting gold prices in India using an ARIMA model

Over the years, the gold prices have been increasing rapidly. Covid-19 and its impact leads to rise in the prices of Gold in the year 2020. So many variables are mindful for increasing the gold cost in India and it leads to investment decisions of individuals and enterprises. Autoregressive Integrated Moving Average (ARIMA) is useful method to gauge time series data. In the paper we mainly focus on daily costs of Gold from the year 2018 to 2020 to determine and forecast the daily gold prices in 2021. Also estimate the error (%) between the observed and estimated values through ARIMA model. This study will provide the estimates of suitable ARIMA model (0,1,2) along with Autocorrelation function (ACF) & Partial autocorrelation function (PACF) from the selected data, The auxiliary source information shows the positive patterns for getting effectiveness, For quantitative examination and speculation selections of financial backers. © 2023 Author(s).

The Role of IoT Technologies in Malaysia During the Covid-19 Pandemic: A Mini- Review

The Covid-19 global infection has significantly influenced people's health, resulting in sudden changes in lifestyle through social exclusion and isolation. To break the transmission and terrifying health threat of Covid-19, the Malaysian Government imposed a Movement Control Order (MCO) starting March 18, 2020, by restricting movement and contact. The Covid-19 pandemic emphasized the importance of the digital inclusion agenda, and the application of Internet of Things (IoT) services has given tremendous benefits in various disciplines, as it helps maintain physical distance during the pandemic. Modern lifestyles are being transformed by the IoT revolution by embracing technological, economic, and social prospects. In fact, many sectors in Malaysia would be transformed through the application of IoT, particularly in productivity, and services. Thus, this review paper discusses IoT's most recent breakthroughs and applications that are used in Malaysia during the Covid-19 crisis. Furthermore, it investigates current IoT implementation and discusses the potential impact of the pandemic on the application of IoT in terms of technology trends and economic impact. IoT is worth mentioning as one of the technologies demonstrating its importance and capabilities in mitigating the severity of the pandemic within the country. This article delves into the applications, social and economic impact, and barriers to the widespread adoption of IoT in the Covid-19 pandemic. This review paper will be useful to academic researchers, business professionals, organizations in various sectors, and anyone interested in determining IoT services' impact on pandemics.

Prediction of Corona Virus Disease Outcome and Future Forecast the Trend of COVID-19 in India: Observational Study

This work is motivated by the disease caused by the novel corona virus Covid-19, rapid spread in India. An encyclopaedic search from India and worldwide social networking sites was performed between 1 March 2020 and 20 Jun 2020. Nowadays social network platform plays a vital role to track spreading behaviour of many diseases earlier then government agencies. Here we introduced the approach to predict and future forecast the disease outcome spread through corona virus in society to give earlier warning to save from life threats. We compiled daily data of Covid-19 incidence from all state regions in India. Five states (Maharashtra, Delhi, Gujarat, Rajasthan and Madhya-Pradesh) with higher incidence and other states considered for time series analysis to construct a predictive model based on daily incidence training data. In this study we have applied the predictive model building approaches like k-nearest neighbour technique, Random-Forest technique and stochastic gradient boosting technique in COVID-19 dataset and the simulated outcome compared with the observed outcome to validate model and measure the performance of model by accuracy (ACC) and Kappa measures. Further forecast the future trends in number of cases of corona virus deceased patients using the Holt Winters Method. Time series analysis is effective tool for predict the outcome of corona virus disease. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Evidence Trends in Remote Patient Monitoring and Remote Therapeutic Monitoring

Objectives: To provide an overview of trends in the current evidence landscape of products and services in development that support remote patient monitoring (RPM) and remote therapeutic monitoring (RTM), given the release of new billing codes for RPM and RTM by Centers for Medicare and Medicaid Services (CMS) in 2019. Method(s): A focused literature review was conducted in PubMed. Articles published between January 1, 2013 and January 1, 2023 were eligible for inclusion if reported technologies were classified as RPM (defined as the collection and interpretation of physiologic data digitally stored and/or transmitted by patients and/or caregivers to qualified health care professionals) or RTM (defined as the use of medical devices to monitor a patient's health or response to treatment using non-physiological data), following CMS definitions. RPM and RTM technologies included hardware, software, telehealth, and blockchain applications. Articles were then categorized using a semi-automated software platform (AutoLit, Nested Knowledge, St. Paul, MN) based on disease area, study design, intervention, and outcomes studied. Result(s): Of the 673 records screened, 245 articles were included. Observational studies (19.6%) were the most common study design, followed by systematic or focused literature reviews (11.0%) and narrative reviews (10.6%). The most common disease areas included cardiology (25.7%), coronavirus disease of 2019 (COVID-19;13.9%), and diabetes (9.4%). The most frequent clinical, non-clinical, and patient-reported outcomes were symptom monitoring (20.8%), all cause readmission and hospitalization rates (both 7.3%), and patient experience (7.8%), respectively. Conclusion(s): CMS policy and coding practices for RPM and RTM are evolving, and this trend is likely to continue into the future. This review provides details on the current evidence trends associated with RPM/RTM technologies. Evidence development of RPM and RTM should be assessed as evidence needs for coverage and reimbursement may receive increased payer management.Copyright © 2023

Spatial mapping of the incidence, case-fatality rate and recovery rate of COVID-19 in West Bengal: An epidemiology study

Information on the spatial and temporal distributions of COVID-19 cases is important for improved control, social distancing strategies and developing targeted prevention strategies. Towards this objective, we analyzed the spatial and temporal growth pattern of COVID-19 incidence and death counts in districts of West Bengal. This paper also analyzes the current trend or pattern of COVID-19 transmission in West Bengal. For this approach, COVID-19 data have been compiled from several sources, including the WHO, Ministry of Health and Family Welfare (MoHFW), and demographic data from Census of India (2011). This analytical study was conducted based on detailed data from 23 districts of West Bengal from May 31, 2020, till December 31, 2021. We used ArcGIS Software for map-making and different formulas to measure Incidence, CFR, and CRR, considering all possible scenarios. Up to December 31, 2021, Kolkata, the origin of the COVID-19 epidemic, had reported 337767 COVID-19 cases, while the confirmed cases in the surrounding districts North 24 Parganas, South 24 Parganas, and Howrah were 337091, 104268, and 102048, respectively. The top five districts with the highest incidence were Kolkata (7.51%), Darjeeling (3.66%), North 24 Parganas (3.36%), Kalimpong (2.85%), and Jalpaiguri (1.79%), had high risks of COVID-19. Therefore, identification of the case fatality, recovery rates, and spatiotemporal trends should be the first step to evaluate disease severity and develop effective policies to manage and control any new epidemic. These results are informative locally and useful for the rest of the world. © 2020 The author (s). Published by Zagazig University. This is an open access article under the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/.

Trends in Covid-19 and Atrial Fibrillation: A National Inpatient Sample Trend from 2020

Background: Atrial fibrillation (AF) is the most common arrhythmia in the United States. Concomitant Covid-19 infection and the outcomes of AF are unknown. Objective(s): The study's goals were to analyze the outcomes of AF during the Covid-19 pandemic. Method(s): We conducted a retrospective cohort study based on the 2020 National Inpatient Sample (NIS) of Adults (>18 years) hospitalized for AF as the primary admitting diagnosis based on the ICD-10 codes and stratified these groups into concomitant covid-19 infection vs. non-covid-19 infection. All-cause mortality was our primary outcome, while the rate of ICU admission, length of stay, hospital charges were our secondary outcomes. Temporal trends were assessed using logistic regression. Result(s): In 2020, there were 1,994,985 admissions for atrial fibrillation, out of whom 104,495 (5.3%) had concomitant Covid-19. In the 104,495 AF admissions with covid-19, the mean age was 75y and 56.8% were males. Our results, image 1, showed AF with and without concomitant Covid-19 had similar rates of comorbid conditions including HTN, DM, OSA, CAD. HFrEF, and ESRD. AF patients with Covid-19 infection had a lower prevalence of smoking (31.83% vs. 39.4%, p<.001) and alcohol use (2% vs. 4.2%, p<.001). AF patients from both groups had similar rates of stroke (1.6% vs. 1.0%, p<.001). New AF patients with concomitant Covid-19 had worsening in-hospital outcomes such as shock (12.8% vs. 3.7%, p<.001), admission to the ICU (18.1% vs. 6.4%, p<0.001), higher all-cause mortality (21.8% vs. 3.9%, p<0.001), a longer length of stay (9.96 days vs 6.08 days, p<.001), and total hospital costs ($114,387 vs. $85,830, p<.0001). The incidence of AF catheter ablation on initial hospital admission for AF Covid-19 was lower compared to the AF non-covid-19 patients (.08% vs. 1.39%, p<.001). Conclusion(s): In 2020, Covid-19 infection was an independent predictor of higher all-cause mortality, length of stay, and costs in patients admitted for atrial fibrillation. In addition, these patients were less likely to get catheter ablation on hospital admission. [Formula presented]Copyright © 2023

Blockchain-based voter registry management system

Aims: Excess mortality during the SARS-CoV-2 pandemic has been studied in many countries. Accounting for population aging has important implications for excess mortality estimates. We show the importance of adjustment for age trends in a small-scale mortality analysis as well as the importance of analysing different pandemic phases for mortality in an urban population. Methods: Population data for Frankfurt/Main for 2016-2021 were obtained from the Municipal Office of Statistics, City of Frankfurt/Main. Mortality data from 2016 to 2021 were provided by the Hessian State Authority. For standardized mortality ratios (SMR=observed number of deaths divided by the expected number of deaths), the expected number of deaths was calculated in two ways: For SMRcrude, the mean mortality rate from the years 2016-2019 was multiplied by the total number of residents in 2020 and 2021 separately. For SMRadjusted, this procedure was performed separately for five age groups, and the numbers of expected deaths per age group were added. Results: SMRcrude was 1.006 (95% CI: 0.980-1.031) in 2020, and 1.047 (95% CI: 1.021-1.073) in 2021. SMRadjusted was 0.976 (95% CI: 0.951-1.001) in 2020 and 0.998 (95% CI: 0.973-1.023) in 2021. Excess mortality was observed during pandemic wave 2, but not during pandemic waves 1 and 3. Conclusion: Taking the aging of the population into account, no excess mortality was observed in Frankfurt/Main in 2020 and 2021. Without adjusting for population aging trends in Frankfurt /Main, mortality would have been greatly overestimated. © The Authors.

Trends in Postpartum Depression before and during the COVID-19 Pandemic and Correlates of Treatment Choices: A Population-Based Retrospective Cohort Study

Objectives: COVID-19-related stressors - including social distancing, material hardship, increased intimate partner violence, and loss of childcare, among others - may result in a higher prevalence of depression among postpartum individuals. This study examines trends in postpartum depression in the US from 2018 to 2022, as well as correlates of treatment choices among women with postpartum depression. Method(s): 1,108,874 women aged 14-64 in the Komodo Healthcare Map with 1+ live birth between April 2018 and December 2021 and had continuous enrollment 2+ years before and 4+ months after the delivery date were included. Prevalence of depression during postpartum (within 3 months after delivery) was calculated before (April 2018-March 2020) and during (April 2020-March 2022) COVID-19. Multinomial logistic regression was used to investigate correlates of treatment choices (no treatment, medication-only, psychotherapy-only, or both). Result(s): The prevalence of postpartum depression increased from 9.7% pre-pandemic to 12.0% during the pandemic (p < 0.001). Among 119,788 women with postpartum depression in 2018-2022, 47.0% received no treatment, 35.0% received medication-only, 10.0% received psychotherapy-only, and 7.4% received both within one month following their first depression diagnosis. Factors associated with an increase in the odds of receiving medication-psychotherapy treatment (vs. no treatment) included older ages;commercial insurance coverage;lower social vulnerability index;history of anxiety or mood disorder during and before pregnancy;and being diagnosed by a nurse practitioner, physician assistant, or behavioral care practitioner (vs. physician). Similar patterns were observed for medication-only and psychotherapy-only treatments. Conclusion(s): In this large, nationally representative sample of US insured population, the prevalence of postpartum depression increased significantly by 2.3 percentage-points during the pandemic (or a relative increase of 23.7%). Nonetheless, almost half of women with postpartum depression received no treatment, and only 7.5% received both medication and psychotherapy. The study highlighted potential socioeconomic and provider variation in postpartum depression treatment.Copyright © 2023

Trends in Second Generation Antipsychotic Prescribing for Adolescents from 2013-2021

Objectives: To examine temporal trends of FDA-approved and off-label second-generation antipsychotic (SGA) prescribing for adolescents over time through the Covid-19 pandemic. Method(s): This is a new-user, retrospective longitudinal panel study using electronic health record data from a large, integrated health care system. Outpatient prescription orders for a new SGA (index date) for adolescents (age 10-17 years) during 2013-2021 were analyzed. Prescription orders were linked to diagnoses at time of encounter to examine prescribing behavior. A one-year lookback period was used for baseline inclusion and exclusion criteria, including one-year "washout" of SGAs and continuous insurance enrollment. FDA-approved use was determined by two outpatient diagnoses (one baseline diagnosis and the prescription order diagnosis) for autism, psychotic disorders, bipolar disorders, or Tourette's;the remaining proportion was considered potentially off-label. We report crude annual prescribing rates per 1,000 youths. Result(s): There were 8,145 unique patients with new SGA prescription orders, of which 5,828 (71.6%) had linked diagnoses available. Calendar year 2013 had the highest prescribing rate prior to Covid-19 onset (2.1 per 1,000) but then declined through 2016 (1.7 per 1,000). Prescribing rates in 2020 (2.0 per 1,000) and 2021 (2.2 per 1,000) were higher than those between 2017-2019. Across all study years, SGA prescriptions were mostly off-label and ordered for aripiprazole, quetiapine, or risperidone. The proportion of off-label indications was highest in 2013 (80.1%) and lowest (69.1%) in 2019. Off-label proportions increased again in 2020 (76.1%) and in 2021 (74.1%). At baseline, patients frequently had other psychotropic prescriptions (e.g., antidepressants 63.3%, stimulants 22.9%, and sedatives/hypnotics 20.7%). Conclusion(s): A general decline in SGA prescribing rates among adolescents was observed from 2013 to 2019, but then increased following Covid-19 onset. Despite known safety risks, off-label use of SGAs remains prominent. Future studies are needed to better understand prescribing outside of pediatric professional society guidelines.Copyright © 2023

A comparison study of topic modeling based literature analysis by using full texts and abstracts of scientific articles: a case of COVID-19 research

PurposeHow to extract useful information from a very large volume of literature is a great challenge for librarians. Topic modeling technique, which is a machine learning algorithm to uncover latent thematic structures from large collections of documents, is a widespread approach in literature analysis, especially with the rapid growth of academic literature. In this paper, a comparison of topic modeling based literature analysis has been done using full texts and s of articles.Design/methodology/approachThe authors conduct a comparison study of topic modeling on full-text paper and corresponding to assess the influence of the different types of documents been used as input for topic modeling. In particular, the authors use the large volumes of COVID-19 research literature as a case study for topic modeling based literature analysis. The authors illustrate the research topics, research trends and topic similarity of COVID-19 research by using Latent Dirichlet allocation (LDA) and topic visualization method.FindingsThe authors found 14 research topics for COVID-19 research. The authors also found that the topic similarity between using full-text paper and corresponding is higher when more documents are analyzed.Originality/valueFirst, this study contributes to the literature analysis approach. The comparison study can help us understand the influence of the different types of documents on the results of topic modeling analysis. Second, the authors present an overview of COVID-19 research by summarizing 14 research topics for it. This automated literature analysis can help specialists in the health and medical domain or other people to quickly grasp the structured morphology of the current studies for COVID-19.

Metabolic and Bariatric Surgery Utilization Trends in the United States: Evidence from 2012-2021 National Electronic Medical Records Data

Objectives: Bariatric surgery has evolved over the past two decades yet assessing trends of bariatric surgery utilization in the growing eligible population is lacking.This study aimed to update the trends in bariatric surgery utilization, changes in types of procedures performed, and the characteristics of patients who underwent bariatric surgery in the US, using real-world data. Method(s): This cross-sectional study was conducted using the TriNetX, a federated electronic medical records network from 2012 to 2021, for adult patients 18 years old or older who had bariatric surgery. Descriptive statistical analysis was conducted to assess patients' demographics and characteristics. Annual secular trend analyses were conducted for the annual rate of bariatric surgery, and the specific procedural types and proportions of laparoscopic surgeries. Result(s): A steady increase in the number of procedures performed in the US over the first six years of the study, a plateau for the following two years, and then a decline in 2020 and 2021 (during the coronavirus-19 pandemic). The annual rate of bariatric surgery was lowest in 2012 at 59.2 and highest in 2018 at 79.6 surgeries per 100,000 adults. During the study period, 96.2% to 98.8% of procedures performed annually were conducted laparoscopically as opposed to the open technique. Beginning in 2012, the Roux-en-Y (RYGB) procedure fell to represent only 17.1% of cases in 2018, along with a sharp decline in the adjustable gastric band (AGB) procedure, replaced by a sharp increase in the sleeve gastrectomy (SG) procedure to represent over 74% of cases in 2018. Conclusion(s): Bariatric surgery utilization in the US showed a moderate decline in the number of RYGB procedures, which was offset by a substantial increase in the number of SG procedures and a precipitous drop in the annual number of AGB procedures.Copyright © 2023

Secular change in selected motor performance parameters and BMI in Swiss primary school children from 2014-2021: The Sportcheck+ study.

It is important to monitor secular trends in children's motor performance, as healthy and physically active children are more likely to become healthy and physically active adults. However, studies with regular and standardized monitoring of motor performance in childhood are scarce. Additionally, the impact of COVID-19 mitigation measures on secular trends is unknown. This study describes secular changes in balancing backwards, jumping sidewards, 20-m sprint, 20-m Shuttle Run Test (SRT) and anthropometric data in 10'953 Swiss first graders from 2014 to 2021. Multilevel mixed-effects models were used to estimate secular trends for boys vs. girls, lean vs. overweight and fit vs. unfit children. The potential influence of COVID-19 was also analysed. Balance performance decreased (2.8% per year), whereas we found improvements for jumping (1.3% per year) and BMI (-0.7% per year). 20-m SRT performance increased by 0.6% per year in unfit children. Children affected by COVID-19 measures had an increased BMI and were more overweight and obese, but motor performance was mostly higher. In our sample, secular changes in motor performance show promising tendencies from 2014 to 2021. The effects of COVID-19 mitigation measures on BMI, overweight and obesity should be monitored in additional birth cohorts and follow-up studies.

Significant variation in air quality in South Indian cities during COVID-19 lockdown and unlock phases.

With the spread of COVID-19 pandemic worldwide, the Government of India had imposed lockdown in the month of March 2020 to curb the spread of the virus furthermore. This shutdown led to closure of various institutions, organizations, and industries, and restriction on public movement was also inflicted which paved way to better air quality due to reduction in various industrial and vehicular emissions. To brace this, the present study was carried out to statistically analyze the changes in air quality from pre-lockdown period to unlock 6.0 in South Indian cities, namely, Bangalore, Chennai, Coimbatore, and Hyderabad, by assessing the variation in concentration of PM2.5, PM10, NO2, and SO2 during pre-lockdown, lockdown, and unlock phases. Pollutant concentration data was obtained for the selected timeframe (01 March 2020-30 November 2020) from CPCB, and line graph was plotted which had shown visible variation in the concentration of pollutants in cities taken into consideration. Analysis of variance (ANOVA) was applied to determine the mean differences in the concentration of pollutants during eleven timeframes, and the results indicated a significant difference (F (10,264) = 3.389, p < 0.001). A significant decrease in the levels of PM2.5, PM10, NO2, and SO2 during the lockdown phases was asserted by Tukey HSD results in Bangalore, Coimbatore, and Hyderabad stations, whereas PM10 and NO2 significantly increased during lockdown period in Chennai station. In order to understand the cause of variation in the concentration of pollutants and to find the association of pollutants with meteorological parameters, the Pearson correlation coefficient was used to study the relationship between PM2.5, PM10, NO2, and SO2 concentrations, temperature, rainfall, and wind speed for a span of 15 months, i.e., from January 2020 to March 2021. At a significant level of 99.9%, 99%, and 95%, a significant correlation among the pollutants, rainfall had a major impact on the pollutant concentration in Bangalore, Coimbatore, Hyderabad, and Chennai followed by wind speed and temperature. No significant influence of temperature on the concentration of pollutants was observed in Bangalore station.

Housing market forecasts via stock market indicators.

Through the reinterpretation of housing data as candlesticks, we extend Nature Scientific Reports article by Liang and Unwin [LU22] on stock market indicators for COVID-19 data, and utilize some of the most prominent technical indicators from the stock market to estimate future changes in the housing market, comparing the findings to those one would obtain from studying real estate ETF's. By providing an analysis of MACD, RSI, and Candlestick indicators (Bullish Engulfing, Bearish Engulfing, Hanging Man, and Hammer), we exhibit their statistical significance in making predictions for USA data sets (using Zillow Housing data) and also consider their applications within three different scenarios: a stable housing market, a volatile housing market, and a saturated market. In particular, we show that bearish indicators have a much higher statistical significance then bullish indicators, and we further illustrate how in less stable or more populated countries, bearish trends are only slightly more statistically present compared to bullish trends.

Epidemiological situation of post-pandemic sexually transmitted infections in Catalonia, Spain. / Situación epidemiológica de las infecciones de transmisión sexual pospandemia en Cataluña, España.

BACKGROUND: The growing trend of STIs in recent years was altered after the outbreak of the SARS-CoV-2 pandemic. OBJECTIVES: Describe the impact of the SARS-CoV-2 pandemic on STI declarations received during the pre-pandemic to pandemic period and estimate the number of STI cases expected for the pandemic period. MATERIAL AND METHODS: Descriptive analysis of STI declarations received during the pre-pandemic (2018-2019) and pandemic (2020-2021) periods. The influence of the number of positive cases of SARS-CoV-2 with the number of positive cases of STIs during the months of the pandemic was studied using a correlation model. Using the Holt-Wilson time series model, an estimate was made of the number of STI cases expected for the pandemic period. RESULTS: The global incidence rate for all STIs in 2020 decreased by 18.3% compared to 2019. Chlamydia and syphilis presented a greater reduction in their incidence from 2019 to 2020 of 22.7% and 20.9%, respectively and 9.5% and 2.5% for gonorrhea and LGV. Estimates showed that in 2020 there would have been 44.6% more STIs than those declared. The proportions according to sex, country of birth and sexual orientation changed significantly in chlamydia and gonorrhea. CONCLUSIONS: The measures adopted for the prevention of SARS-CoV-2 infections were able to achieve an initial decrease in STI cases in 2020, however, this change was not maintained during 2021, which ended with higher incidences recorded to date.

The Pattern of Injuries in the Emergency Room during the COVID-19 Pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has obviously caused a remarkable change in patients' emergency department (ED) visits; however, data from multicenter studies are lacking. We aimed to present a comprehensive analysis of injury-related ED visits in Republic of Korea before and during the COVID-19 pandemic. MATERIALS AND METHODS: Data from 23 tertiary hospitals based on Emergency Department-based Injury In-depth Surveillance were used for this retrospective cross-sectional study. A total of 541,515 ED visits (age ≥ 20 years) between 1 January 2018 and 31 December 2020 were included, and the trend of injuries related to motor vehicular accidents, falls, self-harm and suicide, assault, and poisoning were compared between the pre-COVID-19 time period and during the COVID-19 pandemic. RESULTS: In the first year of the COVID-19 period, a decline in the number of ED visits was observed (41,275, 21%) compared to the previous year. Injuries caused by motor vehicles (36,332 in 2019 vs. 27,144 in 2020), falls and slips (61,286 in 2019 vs. 49,156 in 2020), assaults (10,528 in 2019 vs. 8067 in 2020), and poisonings (7859 in 2019 vs. 7167 in 2020) decreased, whereas self-harm and suicide (8917 in 2019 vs. 8911 in 2020) remained unchanged. The hospitalization (16.6% in 2019 vs. 18.8% in 2020) and ED mortality rate (0.6% in 2019 vs. 0.8% in 2020) also increased. CONCLUSION: The COVID-19 pandemic led to a decline in the overall number of trauma patients seeking medical care; however, the proportion of patients requiring hospitalization or intensive care unit admission increased, indicating more severe injuries among those who did seek care. Suicide attempt rates remained unchanged, highlighting the need for targeted care and support for vulnerable patients. During the pandemic, EDs had to continue to provide care to patients with medical emergencies unrelated to COVID-19, which requires a delicate and adaptable approach to ED operations. To manage the increased stress and workload caused by the pandemic, increased resources and support for healthcare workers were needed.

Experience of a single healthcare system with screening mammography before and after COVID-19 shutdown.

PURPOSE: To evaluate COVID-19's longitudinal impact on screening mammography volume trends. METHODS: HIPAA-compliant, IRB-approved, single institution, retrospective study of screening mammogram volumes before (10/21/2016-3/16/2020) and greater than two years after (6/17/2020-11/30/2022) a state-mandated COVID-19 shutdown (3/17/2020-6/16/2020) were reviewed. A segmented quasi-poisson linear regression model adjusting for seasonality and network and regional population growth compared volume trends before and after the shutdown of each variable: age, race, language, financial source, risk factor for severe COVID-19, and examination location. RESULTS: Adjusted model demonstrated an overall increase of 65 screening mammograms per month before versus a persistent decrease of 5 mammograms per month for >2 years after the shutdown (p < 0.0001). In subgroup analysis, downward volume trends were noted in all age groups <70 years (age < 50: +9/month before vs. -7/month after shutdown; age 50-60: +17 vs. -7; and age 60-70: +21 vs. -2; all p < 0.001), those identifying as White (+55 vs. -8, p < 0.0001) and Black (+4 vs. +1, p = 0.009), all financial sources (Medicare: +22 vs. -3, p < 0.0001; Medicaid: +5 vs. +2, p = 0.006; private insurance/self-pay: +38 vs. -4, p < 0.0001), women with at least one risk factor for severe COVID-19 (+30 vs. -48, p < 0.0001), and screening mammograms performed at a hospital-based location (+48 vs. -14, p = 0.0001). CONCLUSION: The screening mammogram volume trend more than two years after the COVID-19 shutdown has continued to decline for most patient populations. Findings highlight the need to identify additional areas for education and outreach.